Vol. 4 Iss. 2

The Academic Dropout Wheel Analyzing the Antecedents of Higher Education Dropout in Education Studies

Hind Naaman

Universitat Autònoma de Barcelona, Spain

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Abstract: Higher education dropout has been considered a major concern for several researchers in the field of education around the World. Although different studies were carried out to deal with the topic, they all faced common limitations. This paper explores the twofold research conducted to investigate higher education dropout in Education studies at two of the main Catalan public universities. First, a review of the different theoretical perspectives that tackled dropout was carried out to combine the direct and indirect dropout predictors. Second, some research was conductedin the faculties of Education in the selected two Catalan public universities to investigate the antecedents of higher education dropout. The utilized instrument discussed in this paper is the survey. In the first part, the predictors of higher education dropout were combined in a 5-layer model called the ̈Dimensions of Academic Dropout” wheel(Naaman, 2018). In the second part, the results of the survey analyzed quantitively revealed that dissatisfaction from the program and academic failure arethe most important antecedents of higher education dropout in education studies in Catalonia.

Keywords:  ¨Dimensions of Academic Dropout” wheel; dropout antecedents; Higher education dropout

Please Cite: Naaman, H. (2021). The Academic Dropout Wheel – Analyzing the Antecedents of Higher Education Dropout in Education Studies. The European Educational Researcher, (2), 133-153. https://doi.org/10.31757/euer.421

 

References

Allen, J., Robbins, S. B., Casillas, A., & Oh, I. S. (2008). Third-year college retention and transfer: Effects of academic performance, motivation, and social connectedness. Research in Higher Education, 49(7), 647-664. https://doi.org/10.1007/s11162-008-9098-3

Andres, L. (2016). Theories of the sociology of higher education access and participation. Routledge handbook of the sociology of higher education, 29-38. https://www.routledgehandbooks.com/doi/10.4324/9781315772233.ch3

Arendt, J. N. (2013). The effect of public financial aid on dropout from and completion of university education: evidence from a student grant reform. Empirical Economics, 44(3), 1545-1562. 10.1007/s00181-012-0638-5.

Ascend Learning, L. L. C. (2012). Student attrition: Consequences, contributing factors, and remedies. Assessment Technology Institute (ATI), 1-9.

Aulck, L., Velagapudi, N., Blumenstock, J., & West, J. (2016). Predicting student dropout in higher education. arXiv preprint arXiv:1606.06364.

Bean, J., & Eaton, S. B. (2001). The Psychology Underlying Successful Retention Practices. Journal of College Student Retention: Research, Theory & Practice,3(1), 73-89. doi:10.2190/6r55-4b30-28xg-l8u0  

Behr, A., Giese, M., Teguim Kamdjou, H. D., & Theune, K. (2020). Dropping out of university: a literature review. Review of Education8(2), 614-652.

Berger, J. B. (2002). The Influence of the Organizational Structures of Colleges and Universities on College Student Learning. Peabody Journal of Education, 77(3), 40-59

Berger, J. B., & Milem, J. F. (2000). Organizational behavior in higher education and student outcomes. Higher Education-New York-Agathon Press Incorporated, 15, 268-338.

Bergold, S., & Steinmayr, R. (2018). Personality and Intelligence Interact in the Prediction of Academic Achievement. Journal of Intelligence, 6(2), 27. doi:10.3390/jintelligence6020027

Cabrera, L., Tomás, J., Álvarez, P. y Gonzalez, M. (2006). El problema del abandono de los estudios univer-sitarios. RELIEVE, v. 12, n. 2, p. 171-203 http://www.uv.es/RELIEVE/v12n2/RELIEVEv12n2_1eng.htm

Cambridge English Dictionary. (n.d.). Citation. In Dictionary.Cambridge.org Dictionary. Retrieved July 20, 2020, from https://dictionary.cambridge.org/dictionary/english/dropout

Casanova, J. R., Cervero, A., Núñez, J. C., Almeida, L. S., & Bernardo, A. (2018). Factors that determine the persistence and dropout of university students. Psicothema, 30(4), 408–414.

Chen, R. (2008). Financial Aid and Student Dropout in Higher Education: A Heterogeneous Research Approach. Handbook of Theory and Research Higher Education, 209-239. doi:10.1007/978-1-4020-6959-8_7

Christenson, S. L., Reschly, A. L., & Wylie, C. (2012). Handbook of research on student engagement. New York: Springer.

Consortium for Research on Educational Access, Transitions and Equity (CREATE). (2010). Typologies of Dropout in Southern Ghana Policy Brief 1 (Issue brief No. 10).

Cook, L. (2010). Toward a grounded theory of nursing student attrition. Dissertation abstracts international. Colorado State University.

Deary, I. J., Watson, R., & Hogston, R. (2003). A longitudinal cohort study of burnout and attrition in nursing students. Journal of advanced nursing, 43(1), 71-81.

Dee, T. S., & Jacob, B. A. (2006). Do high school exit exams influence educational attainment or labor market performance? (No. w12199). National Bureau of Economic Research.

Devi, S.P. (2020). Cultural characteristic and college dropout. International Journal of Indian Psychology, 8(1), 195-202. DIP:18.01.022/20200801, DOI:10.25215/0801.022

Diem, A., & Wolter, S. C. (2019). A place too crowded to study: The impact of student cohort growth on the probability of university dropout. Hungarian Educational Research Journal9(2), 189-212.

Dodge, T. M., Mitchell, M. F., & Mensch, J. M. (2009). Student retention in athletic training education programs. Journal of athletic training, 44(2), 197.

Dovigo F, Casanova L, editors. Good practices for equity and inclusion in higher education. Bergamo: University of Bergamo; 2017. Available from: https://ddd.uab.cat/pub/llibres/2017/171121/A4A_BergConf_a2017.pdf

European Commission. (2015). Dropout and Completion in Higher Education in Europe. Report to the European Commission. Luxembourg: Publications Office of the European Union.

Ewell P.T. (2010) The US National Survey of Student Engagement (NSSE). In: Dill D., Beerkens M. (eds) Public Policy for Academic Quality. Higher Education Dynamics, 30. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3754-1_5

Finkel, L., & Barañano, M. (2014). La dedicación al estudio y al trabajo de los estudiantes universitarios en España [Dedication to study and work in Spanish university students]. Revista de la Asociación de Sociología de la Educación, 7, 82-103.

Gairín, J., Triado, X. M., Feixas, M., Figuera, P., Aparicio-Chueca, P. & Torrado, M. (2014) Student dropout rates in Catalan universities: profile and motives for disengagement. Quality in Higher Education, 20(2), 165-182, DOI:10.1080/13538322.2014.925230

Gardenswartz, L., & Rowe, A. (2008). Diverse teams at work: capitalizing on the power of diversity. Alexandria, VA: Society for Human Resource Management.

Gentry, R. (2014). Sustaining college students’ persistence and achievement through exemplary instructional strategies. Research in Higher Education Journal, 24, 1-14.

Glossop, C. (2001). Student nurse attrition from pre-registration courses: investigating methodological issues. Nurse Education Today, 21(3), 170-180.

GLSEN. (2016). Educational exclusion: Drop out, push out, and school-to-prison pipeline among LGBTQ youth. New York: GLSEN.

Harden-Moore, T. (2019, August 16). Academic Bullying: Higher Education's Dirty Little Secret. Retrieved from https://diverseeducation.com/article/152566/

Hasbun, T., Araya, A., & Villalon, J. (2016). Extracurricular Activities as Dropout Prediction Factors in Higher Education Using Decision Trees. 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT). doi:10.1109/icalt.2016.66      

Hazrati-Viari, A., Rad, A. T., & Torabi, S. S. (2012). The effect of personality traits on academic performance: The mediating role of academic motivation. Procedia - Social and Behavioral Sciences, 32, 367-371. doi:10.1016/j.sbspro.2012.01.055’

Heublein, U. (2014). Student Drop‐out from German Higher Education Institutions. European Journal of Education49(4), 497-513.

Jones, M. V., "College Freshmen Living Arrangement as a Predictor of Retention and Persistence to Graduation" (2013). OTS Master's Level Projects & Papers. 8. https://digitalcommons.odu.edu/ots_masters_projects/8

Kehm, B. M., Larsen, M. R., & Sommersel, H. B. (2019). Student dropout from universities in Europe: A review of empirical literature. Hungarian Educational Research Journal9(2), 147-164.

Khan, S. (2017, July 27). Analysis of Social, Psychological and Other Factors on College Dropout Rates among African American Students. Retrieved December 10, 2020, from https://www.scirp.org/journal/PaperInformation.aspx?PaperID=78525

Larsen, M. R., Sommersel, H. B., & Larsen, M. S. (2013). Evidence on Dropout Phenomena at Universities. Danish Clearinghouse for Educational Research.

Lauder, H., & Mayhew, K. (2020). Higher education and the labour market: An introduction, Oxford Review of Education, 46:1, 1-9, DOI: 10.1080/03054985.2019.1699714

Lavrentsova, E. (2019). The effects of student-teacher and student-student relationship on school engagement: An empirical research in Bulgaria. Педагогика91(3), 320-331.

Maman, D., & Rosenhek, Z. (2020). Facing future uncertainties and risks through personal finance: conventions in financial education. Journal of cultural economy13(3), 303-317.

Martin, A. (2002). Motivation and academic resilience: Developing a model for student enhancement. Australian journal of education46(1), 34-49.

Naaman, H. (2018, September). From Exclusion to Inclusion: Dropout and Retention Solutions - Diversity Management in Higher Education Institutions. Poster presented at the Emerging Researchers Conference of the European Educational Research Association, Bolzano, Italy.

Nareeba, P. (2019). An Investigation into Social Networks and Their Influence on Social Integration in Selected Public Universities in Uganda. (Doctoral dissertation, KISII UNIVERSITY).

Páramo, F. M. F., Araújo, A., Vacas, C. T., Almeida, L. S., & González, M. S. (2017). Predictors of students’ adjustment during transition to university in Spain. Psicothema, 29(1), 67-72. doi:10.7334/psicothema2016.40

Porto, A. M. D. S., & Soares, A. B. (2017). Differences between expectations and academic adaptation of university students in various areas of knowledge. Análise Psicológica, 35(1), 13-24.

Quadri, M., & Kalyankar, D. (2010). Drop Out Feature of Student Data for Academic Performance Using Decision Tree Techniques. Global Journal Of Computer Science And Technology. Retrieved from https://computerresearch.org/index.php/computer/article/view/891

Reschly A.L. (2020) Dropout Prevention and Student Engagement. In: Reschly A., Pohl A., Christenson S. (eds) Student Engagement. Springer, Cham. https://doi.org/10.1007/978-3-030-37285-9_2

Rodríguez-Gómez, D., Feixas, M., Gairín, J., & Muñoz, J. L. (2012). Understanding Catalan University dropout from a comparative approach. Procedia-Social and Behavioral Sciences46, 1424-1429.

Rodríguez-Gómez, D., Feixas, M., Gairín, J., & Muñoz, J. L. (2015) Understanding Catalan university dropout from a cross-national approach. Studies in Higher Education, 40(4), 690-703, DOI: 10.1080/03075079.2013.842966

Rodríguez-Gómez, D., Meneses J., Gairín J., Feixas M., & Muñoz-Moreno J. L. (2016).  They have gone, and now what? Understanding re-enrolment patterns in the Catalan public higher education system. Higher Education Research & Development. 35(4), 815-828.

Romero, D. H., Riggs, S. A., & Ruggero, C. (2015). Coping, family social support, and psychological symptoms among student veterans. J. Couns. Psychol. 62, 242–252. doi: 10.1037/cou0000061

Ortiz, E. A., & Dehon, C. (2013). Roads to success in the Belgian French community’s higher education system: Predictors of dropout and degree completion at the Université Libre de Bruxelles. Research in Higher Education, 54(6), 693-723. https://doi.org/10.1007/s11162-013-9290-y

Sallán, J. G., Y Avila, G. P., & Villegas, A. B. (2014). University and vulnerable groups: reflections and experiences. México D.F.: Ediciones del Lirio

Schultz, J. (2020). Understanding the Attitudes, Skills, and Behaviors Community College Students Want Their Academic Counselors and Advisors to Exhibit (Doctoral dissertation, University of La Verne).

Smith, S. E. (2014, July 4). Why Are Huge Numbers of Disabled Students Dropping Out of College? Retrieved from https://www.alternet.org/2014/06/why-are-huge-numbers-disabled-students-dropping-out-college/

Sosu, E. M. & Pheunpha, P. (2019). Trajectory of University Dropout: Investigating the Cumulative Effect of Academic Vulnerability and Proximity to Family Support. Front. Educ. 4(6). doi: 10.3389/feduc.2019.00006

Suhre, C. J., Jansen, E. P., & Harskamp, E. G. (2007). Impact of degree program satisfaction on the persistence of college students. Higher Education54(2), 207-226.

Tinto, V. (1975). Dropout from Higher Education: A Theoretical Synthesis of Recent Research. Review of Educational Research, 45(1), 89-125. Retrieved from http://www.jstor.org/stable/1170024

Tinto, V. (1993). Leaving College: Rethinking the Causes and Cures of Student Attrition. Second Edition. University of Chicago Press.

Vries, W. D., León Arenas, P., Romero Muñoz, J. F., & Hernández Saldaña, I. (2011). Deserters or disappointed? Different reasons to drop out of college. Revista de la Educación Superior4 (160), 29-50.

Winkle-Wagner, R., & Locks, A. M. (2020). Diversity and inclusion on campus: supporting students of color in higher education. New York: Routledge.

Zajacova, A., Lynch, S. M., & Espenshade, T. J. (2005). Self-Efficacy, Stress, and Academic Success in College. Research in Higher Education,46(6), 677-706. doi:10.1007/s11162-004-4139-z
Vol. 4 Iss. 2

Investigationof the Turkish Cultural Adaptation of International Students Living in Turkey

 Khanım Eynullayeva & Murat Gökalp

Ondokuz Mayis University, TURKEY

Bedri Yavuz Hatunoglu

 Ağrı İbrahim Çeçen University, TURKEY    

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Abstract: In this study, the cultural adaptations of international students studying in Samsun in acculturation processes were examined. The cultural problems that international students inevitably face affect their adaptation to the countries they host. To investigate the effects of the international students’ some variables on the cultural adaptation in the context of Turkey constitutes the main objective of this study. In the study, it was examined whether the cultural adaptation levels of international students vary according to gender, place of residence, academic achievement level, education level, faculty they attend, and their age. Within the scope of the research, 670 foreign students participated in this study. According to the research results, the general adaptation level of the students is medium. While the participants’ age is a factor affecting cultural adaptation, the students’ cultural adaptation does not change according to their gender, place of residence, level of education, academic performance, and the faculties they attend.

Keywords: Academic Achievement; Adaptation Problems; Cultural Difference; Foreign Student

Please Cite: Eynullayeva, K., Gökalp, M., & Hatunoglu, B. Y. (2021). Investigation of the Turkish Cultural Adaptation of International Students Living in Turkey. The European Educational Researcher, 4(2), 167- 169. https://doi.org/10.31757/euer.422


References

Arslan, M. (2012). Ziya Gökalp’te kültür ve uygarlık[Culture and civilization in Ziya Gökalp]. İstanbul Üniversitesi Sosyoloji Dergisi, 3(10), 11–19.

Aydın, O. T. (2020). Social interaction between students: Local and international students’ experiences at a Turkish university. Journal of International Students, 10(2), 383–400. https://doi.org/10.32674/jis.v10i2.1067

Başaran, İ. E. (1992). Eğitim psikolojisi: Modern eğitimin psikolojik temelleri[Educational psychology: Psychological foundations of modern education] (12. Editio). Kadıoğlu.

Böhm, A., Follari, M., Hewett, A., Jones, S., Kemp, N., Meares, D., Pearce, D., & Cauter, K. Van. (2004). Forecasting international student mobility a UK perspective Vision 2020. www.universitiesuk.orgwww.idp.org

Byram, M. (1989). Cultural studies in foreign language education (Vol. 46). Multilingual Matters.

Çetin, Y., Bahar, M., & Griffiths, C. (2017). International students’ views on local culture: Turkish experience. Journal of International Students, 7(3), 467–478. https://doi.org/10.32674/jis.v7i3.204

Erdoğan, A. (2010). Tanzimat Döneminde Yurtdışına Öğrenci Gönderme Olgusu ve Osmanlı Modernleşmesine Etkileri [The Phenomenon of Sending Students Abroad During the Tanzimat Period and Its Effects on Ottoman Modernization]. İstanbul Üniversitesi Sosyoloji Dergisi, 3(20), 121–151. http://tjs.istanbul.edu.tr/wp-content/uploads/2015/10/20-2.pdf

Fidan, N., & Erden, M. (1994). Eğitime giriş [Introduction to education]. Meteksan Anonim Şirketi.

Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education. McGraw-hill New York.

Gebru, M. S., & Yuksel-Kaptanoglu, I. (2020). Adaptation Challenges for International Students in Turkey. Open Journal of Social Sciences, 08(09), 262–278. https://doi.org/10.4236/jss.2020.89021

Gökalp, Z. (1994). Türkçülüğün esasları[Fundamentals of Turkism] (Vol. 42). İnkilap Yayınları.

Güçlü, N. (1996). Yabancı öğrencilerin uyum problemleri. Hacettepe Egitim Dergisi, 12(12), 101–110.

Hanassab, S. (2006). Diversity, international students, and perceived discrimination: Implications for educators and counselors. Journal of Studies in International Education, 10(2), 157–172. https://doi.org/10.1177/1028315305283051

Heikinheimo, P. S., & Shute, J. C. (1986). The adaptation of foreign students: Student views and institutional implications. Journal of College Student Personnel.

Karaoğlu, F. (2007). Yabancı uyruklu öğrencilerde uyma davranışı: TÖMER örneği [Adaptation behavior in foreign students: TÖMER example]. Unpublished Master’s Thesis, Gazi University, Institute of Social Sciences, Ankara.

Kıroğlu, K., Kesten, A., & Elma, C. (2010). Türkiye’de Öğrenim Gören Yabancı Uyruklu Lisans Öğrencilerinin Sosyo- Kültürel ve Ekonomik Sorunları[Studying Socio-Cultural and Economic Problems of Foreign Graduate Students in Turkey]. Mersin University Journal of the Faculty of Education, 6(2), 26–39. https://doi.org/10.17860/efd.12181

Kim, H.-Y. (2013). Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry & Endodontics, 38(1), 52. https://doi.org/10.5395/rde.2013.38.1.52

Kylo, P. M., & Chumba, R. J. (2011). Selected factors influencing social and academic adjustment of undergraduate students of egerton university; Njoro Campus. International Journal of Business and Social Science, 2(18), 274–290.

Lee, J. J. (2010). International students’ experiences and attitudes at a US host institution: Self-reports and future recommendations. Journal of Research in International Education, 9(1), 66–84. https://doi.org/10.1177/1475240909356382

Nasir, M. (2012). Effects of cultural adjustment on academic achievement of international students. Journal of Elementary Education, 22(2), 95–103. http://pu.edu.pk/images/journal/JEE/PDF-Files/Article No. 7_V22_2_12.pdf

Oberg, K. (1954). Culture Shock. Bobbs-Merrill. http://dx.doi.org/10.1016/j.cirp.2016.06.001%0Ahttp://dx.doi.org/10.1016/j.powtec.2016.12.055%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006%0Ahttps://doi.org/10.1016/j.matlet.2019.04.024%0Ahttps://doi.org/10.1016/j.matlet.2019.127252%0Ahttp://dx.doi.o

OECD. (2020). Education at a Glance 2020. In The SAGE Encyclopedia of Higher Education. https://doi.org/10.4135/9781529714395.n163

Özçetin, S. (2013). Yüksek Öğrenim Gören Yabancı Uyruklu Öğrencilerin Sosyal Uyumlarını Etkileyen Etmenler [Factors Affecting the Social Adaptation of Higher Education Foreign Students]. Unplublished Master Thesis. Ankara University.

Paksoy, H. M., Paksoy, S., & Özçalıcı, M. (2012). Türkiye’de yüksek öğrenim gören yabancı uyruklu öğrencilerin sosyal sorunlari: GAP bölgesi üniversiteleri örneği [Social problems of foreign students those having higher education in Turkey: A sample from universities in GAP region]. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2(2), 85–94.

Pallant, J. (2007). SPSS survival manual. McGraw-Hill Education (UK).

Pedersen, P. B. (1991). Counseling international students. The Counseling Psychologist, 19(1), 10–58.

Peifer, J. S., & Yangchen, T. (2017). Exploring Cultural Identity, Personality, and Social Exposure Correlates to College Women’s Intercultural Competence. SAGE Open, 7(2). https://doi.org/10.1177/2158244017710493

Rienties, B., Beausaert, S., Grohnert, T., Niemantsverdriet, S., & Kommers, P. (2012). Understanding academic performance of international students: The role of ethnicity, academic and social integration. Higher Education, 63(6), 685–700. https://doi.org/10.1007/s10734-011-9468-1

Rienties, B., & Tempelaar, D. (2013). The role of cultural dimensions of international and Dutch students on academic and social integration and academic performance in the Netherlands. International Journal of Intercultural Relations, 37(2), 188–201. https://doi.org/10.1016/j.ijintrel.2012.11.004

Schmader, T., Major, B., & Gramzow, R. H. (2001). Coping with ethnic stereotypes in the academic domain: Perceived injustice and psychological disengagement. Journal of Social Issues, 57(1), 93–111. https://doi.org/10.1111/0022-4537.00203

Senemoğlu, N. (2004). Gelişim öğrenme ve öğretim [Developmental learning and teaching]. Gönül Yayıncılık.

Shin, M., & Lee, J. Y. (2021). Stress of Cultural Adaption Perceived by International Students Living in South Korea – Focused on Q Methodology. Annals of R.S.C.B., 25(1), 1433–1442.

Snoubar, Y., & Celik, G. (2013). Cultural Differences of International Students in Turkey and Problems they Experience. Procedia - Social and Behavioral Sciences, 106, 759–766. https://doi.org/10.1016/j.sbspro.2013.12.087

Sodowsky, G., & Plake, B. (1992). An investigation into acculturation options of international people and implications for sensitivity to within group differences. Journal of Counseling & Development, 71, 53–59.

Spencer-Oatey, H. (2012). What is Culture? A compilation of quotations.

Sungur, M. A., Şahin, M., Can, G., Şahin, M. F., Duman, K., Pektaş, B., Doğan, S., Alkan, A. Ö., & Onuk, H. (2016). Düzce üniversitesinde yükseköğrenim gören yabancı uyruklu öğrencilerin yaşam doyumları ve sosyal uyumlarını etkileyen faktörler [Factors affecting the life satisfaction and social adaptation of foreign students studying at Düzce University]. Düzce Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, 6(2), 101–109. https://dergipark.org.tr/en/pub/duzcesbed/issue/24384/258501

Şeker, B. D. (2015). Göç ve Uyum Süreci: Sosyal Psikolojik Bir Değerlendirme [Migration and Integration Process: A Social Psychological Assessment]. In Göç ve Uyum (pp. 9–21). Transnational Press London.

Ward, C., & Masgoret, A. (2004). The experiences of international students in New Zealand. https://doi.org/10.13140/RG.2.1.3642.4404

YOK. (2021). Yükseköğretim Bilgi Yönetim Sistemi[Higher Education Information Management System]. https://istatistik.yok.gov.tr/

YTB. (2012). Türkiye Bursları [Turkey scholarships]. https://www.ytb.gov.tr/uluslararasi-ogrenciler/turkiye-burslari

Zhou, J., & Cole, D. (2017). Comparing international and American students: involvement in college life and overall satisfaction. Higher Education, 73(5), 655–672. https://doi.org/10.1007/s10734-016-9982-2

Zhou, Y., Jindal-Snape, D., & Topping & John Todman, K. (2008). Studies in Higher Education Theoretical models of culture shock and adaptation in international students in higher education Theoretical models of culture shock and adaptation in international students in higher education. 33(1), 63–75. https://doi.org/10.1080/03075070701794833

Zhou, Y., Jindal-Snape, D., Topping, K., & Todman, J. (2008). Theoretical models of culture shock and adaptation in international students in higher education. Studies in Higher Education, 33(1), 63–75. https://doi.org/10.1080/03075070701794833
Vol. 4 Iss. 2

Students’ Difficulties in Applying the Law of Conservation of Mechanical Energy: Results of a Survey Research

Asila Halilović

 First Bosniak Gymnasium Sarajevo, Bosnia and Herzegovina

Vanes Mešić & Elvedin Hasović

University of Sarajevo, Bosnia and Herzegovina

Dževdeta Dervić

Second Gymnasium Sarajevo, Bosnia and Herzegovina

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Abstract: The purpose of this study was to explore the effectiveness of the conventional high school instruction about conservation of mechanical energy in Canton Sarajevo. To that end we tested 441 high school students from six different schools in Sarajevo (Bosnia and Herzegovina) for their competence to apply the law of conservation of mechanical energy. Concretely, students were expected to solve 5 open-ended tasks that covered conceptually different situations. In each task we asked a set of sub-questions to check whether the students possess all the prerequisite sub-competencies for systematic reasoning about conservation of mechanical energy. In addition, we investigated how students’ ideas about conservation of mechanical energy were affected by the choice of the physical system, as well as by the choice of the observed time interval. Data analysis was performed on the level of individual tasks. The students’ written answers were analyzed and the frequencies of most prominent student responses were reported. Generally, it has been shown that most high school students from Sarajevo fail to identify and distinguish internal, external, conservative and non-conservative forces. Also, many students think that applicability of the conservation law does not depend on the chosen physical system and its evolution over time. We could conclude that high school students’ use of the conservation law is mostly based on remembering similar problem solving experiences, rather than on relevant strategic knowledge.

Keywords: Conservation of mechanical energy; Energy analysis; Systems approach; Survey research.

Please Cite: Halilović, A., Mešić, V., Hasović, E. and Dervić, D. (2021). Students’ Difficulties in Applying the Law of Conservation of Mechanical Energy: Results of a Survey Research. The European Educational Researcher, 4(2), 171-192. DOI: https://doi.org/10.31757/euer.423


References

Abasbegović, N., & Musemić, R. (1998). Fizika za 1. razred gimnazije [Physics textbook for the 1st year of secondary school]. Svjetlost.

Aviani, I., Erceg, N., & Mešić, V. (2015). Drawing and using free body diagrams: Why it may be better not to decompose forces. Physical Review Special Topics-Physics Education Research11(2), Article 020137. https://doi.org/10.1103/PhysRevSTPER.11.020137

Bryce, T. G. K., & MacMillan, K. (2009). Momentum and kinetic energy: Confusable concepts in secondary school physics. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching46(7), 739-761. https://doi.org/10.1002/tea.20274

Chen, R. F., Eisenkraft, A., Fortus, D., Krajcik, J., Neumann, K., Nordine, J., & Scheff, A. (Eds.). (2014). Teaching and learning of energy in K-12 education. Cham: Springer International Publishing.

Chi, M. T., Feltovich, P. J., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive science, 5(2), 121-152. https://doi.org/10.1207/s15516709cog0502_2

Čolić, A. (2001). Fizika za 1. razred srednjih škola [Physics textbook for the 1st year of secondary school]. Harfo-graf.

Crundell, M, Goodwin, G., & Mee, C. (2014). Cambridge International AS and A Level Physics. Hodder Education.

Duit, R., & Häußler, P. (1994). Learning and teaching energy. In P. Fensham, R. Gunstone, & R. White (Eds.), The content of science (pp. 185–200). The Falmer Press.

Etkina, E., Gentile, M., & Van Heuvelen, A. (2013). College physics. London: Pearson Higher Ed.

Giordano, N. (2009). College Physics: Reasoning and Relationships. Cengage.

Goldring, H., & Osborne, J. (1994). Students' difficulties with energy and related concepts. Physics education29(1), 26-31. https://doi.org/10.1088/0031-9120/29/1/006

Grimellini-Tomasini, N., Pecori-Balandi, B., Pacca, J. L., & Villani, A. (1993). Understanding conservation laws in mechanics: Students' conceptual change in learning about collisions. Science Education, 77, 169-189. https://doi.org/10.1002/sce.3730770206

Halilović, A., Mešić, V., Hasović, E., & Vidak, A. (2021). Teaching upper-secondary students about conservation of mechanical energy: Two variants of the system approach to energy analysis. Journal of Baltic Science Education, 20(2), 223-236. https://doi.org/10.33225/jbse/21.20.223

Herrmann-Abell, C. F., & DeBoer, G. E. (2011). Investigating students’ understanding of energy transformation, energy transfer, and conservation of energy using standards-based assessment tasks. In NARST Annual Conference/Orlando,FL. Retrieved from:                https://www.researchgate.net/publication/265148820_Investigating_Students%27_Understanding_of_Energy_Transformation_Energy_Transfer_and_Conservation_of_Energy_Using_Standards-Based_Assessment_Items

Hertel, I. V., & Großmann, S. (2016). Physik in der Schule: Hauptteil mit Anlage Basiskonzepte. Bad Honnef: Deutsche Physikalische Gesellschaft.

Jewett Jr, J. W. (2008). Energy and the confused student II: Systems. The Physics Teacher46(2), 81-86. https://doi.org/10.1119/1.2834527

Jewett Jr, J. W. (2008). Energy and the confused student IV: A global approach to energy. The Physics Teacher46(4), 210-217. https://doi.org/10.1119/1.2895670

Kim, E., & Pak, S. J. (2002). Students do not overcome conceptual difficulties after solving 1000 traditional problems. American Journal of Physics, 70(7), 759-765. https://doi.org/10.1119/1.1484151

Krause, E. (2013). Das Erhaltungsprinzip in der Physik und seine Anwendung im Physikunterricht (Unpublished doctoral dissertation). Universitaet Siegen, Siegen, Germany.

Lawson, R. A., & McDermott, L. C. (1987). Student understanding of the work‐energy and impulse‐momentum theorems. American Journal of Physics55(9), 811-817. https://doi.org/10.1119/1.14994

Lindsey, B. A., Heron, P. R., & Shaffer, P. S. (2009). Student ability to apply the concepts of work and energy to extended systems. American Journal of Physics77(11), 999-1009. https://doi.org/10.1119/1.3183889

Lindsey, B. A., Heron, P. R., & Shaffer, P. S. (2012). Student understanding of energy: Difficulties related to systems. American Journal of Physics80(2), 154-163. https://doi.org/10.1119/1.3660661

Muratović, H., & Gabela, N. (2011). Fizika VIII: za osmi razred osnovne škole [Physics textbook for the 8th grade of elementary school]. Grafex.

Neumann, K., Viering, T., Boone, W. J., & Fischer, H. E. (2013). Towards a learning progression of energy. Journal of research in science teaching50(2), 162-188. https://doi.org/10.1002/tea.21061

Papadouris, N., Hadjigeorgiou, A., & Constantinou, C. P. (2014). Pre-service elementary school teachers’ ability to account for the operation of simple physical systems using the energy conservation law. Journal of Science Teacher Education25(8), 911-933. https://doi.org/10.1007/s10972-014-9407-y

Pride, T. O. B., Vokos, S., & McDermott, L. C. (1998). The challenge of matching learning assessments to teaching goals: An example from the work-energy and impulse-momentum theorems. American Journal of Physics66(2), 147-157. https://doi.org/10.1119/1.18836

Sang, D., Jones, G., Woodside, R., Chadha, G. (2012). Cambridge International AS and A level Physics. Cambridge University Press.

Seeley, L., Vokos, S., & Etkina, E. (2019). Examining physics teacher understanding of systems and the role it plays in supporting student energy reasoning. American Journal of Physics87(7), 510-519. https://doi.org/10.1119/1.5110663

Van Heuvelen, A., & Zou, X. (2001). Multiple representations of work–energy processes. American Journal of Physics69(2), 184-194. https://doi.org/10.1119/1.1286662

Van Huis, C., & Van den Berg, E. (1993). Teaching energy: a systems approach. Physics Education28(3), 146-153. https://doi.org/10.1088/0031-9120/28/3/003

Vidak, A., Erceg, N., Hasović, E., Odžak, S., & Mešić, V. (2018). Teaching About Rolling Motion: Exploring The Effectiveness Of An Extreme Case Reasoning Approach. Journal of Baltic Science Education17(3), 511. https://doi.org/10.33225/jbse/18.17.511

Wiesner, H., Schecker, H., & Hopf, M. (2015). Physikdidaktik kompakt. Hallbergmoos: Aulis.
Vol. 4 Iss. 2

Technology Integration of Turkish Elementary School: Teaching Literacy Skills in the Post-COVID-19 Era

Rıdvan Ata, Kasım Yıldırım, Pelin İpek & Umut Can Ataş

Muğla Sıtkı Koçman University, Turkey

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Abstract: This research aimed to explore the elementary school classroom teachers’ perceptions of technology integration into teaching literacy skills. A total of 122 elementary school classroom teachers working at different elementary schools from the middle socioeconomic status setting, enrolled in the study voluntarily. In this study, a self-report questionnaire developed by the researchers was used. The data was analyzed using Microsoft Excel spreadsheet to get descriptive statistics (frequencies) corresponding the research questions. The research findings indicated that most of the elementary school teachers employ different perspectives, including whole language, literature-based and balanced instruction, and curriculum and related textbooks to teach literacy skills. In addition, the findings showed that teachers use technology to increase the effectiveness of teaching literacy skills and their goals of technology integration to teach literacy skills differentiate. The teachers also benefit from the social media applications and professional organizations in increasing their awareness of technology integration into teaching literacy skills. These results expand our understanding of Turkish elementary school classroom teachers’ technology integration into teaching literacy skills by revealing their perceptions.

Keywords: Elementary school classroom teachers; Teaching literacy skills; Technology integration

Please Cite: Ata, R., Yıldırım, K., Ipek, P., & Ataş, U. C. (2021). Technology Integration of Turkish Elementary School: Teaching Literacy Skills in the Post-COVID-19 Era. The European Educational Researcher, 4(2), 193-207. DOI: https://doi.org/10.31757/euer.424


References

Aslan, A., & Zhu, C. (2017). Investigating variables predicting Turkish pre‐service teachers’ integration of ICT into teaching practices. British Journal of Educational Technology48(2), 552-570.

Avidov-Ungar, O. (2016). A model of professional development: Teachers’ perceptions of their professional development. Teachers and Teaching22(6), 653-669.

Backfisch, I., Lachner, A., Hische, C., Loose, F., & Scheiter, K. (2020). Professional knowledge or motivation? Investigating the role of teachers’ expertise on the quality of technology-enhanced lesson plans. Learning and Instruction66, 101300.

Caena, F., & Redecker, C. (2019). Aligning teacher competence frameworks to 21st century challenges: The case for the European Digital Competence Framework for Educators (Digcompedu). European Journal of Education54(3), 356-369.

Cheng, S. L., Lu, L., Xie, K., & Vongkulluksn, V. W. (2020). Understanding teacher technology integration from expectancy-value perspectives. Teaching and Teacher Education91, 103062.

Christ, T., Arya, P., & Liu, Y. (2019). Technology integration in literacy lessons: Challenges and successes. Literacy Research and Instruction58(1), 49-66.

Davis, F.D. (1989) “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology” MIS Quarterly 13(3), pp. 319-340.

Davis, F. Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer-technology:  A comparison of two theoretical models. Management Science, 38(8), 982–1003.

Ertmer, P. A., Ottenbreit-Leftwich, A. T., Sadik, O., Sendurur, E., & Sendurur, P. (2012). Teacher beliefs and technology integration practices: A critical relationship. Computers & education59(2), 423-435.

Falloon, G. (2020). From digital literacy to digital competence: the teacher digital competency (TDC) framework. Educational Technology Research and Development, 1-24.

Gill, L., & Dalgarno, B. (2017). A qualitative analysis of pre-service primary school teachers’ TPACK development over the four years of their teacher preparation programme. Technology, Pedagogy and Education26(4), 439-456.

Graham, C. R. (2011). Theoretical considerations for understanding technological pedagogical content knowledge (TPACK). Computers & Education, 57(3), 1953- 1960. Doi: 10.1016/J.Compedu.2011.04.010

Griffin P., & Care E. (2015) The ATC21S Method. In Griffin P., Care E. (eds) Assessment and Teaching of 21st Century Skills. Educational Assessment in an Information Age. Springer, Dordrecht

International Society for Technology in Education. (2017). ISTE standards for educators. Washington, DC: International Society for Technology in Education

Kim, C., Kim, M. K., Lee, C., Spector, J. M., & DeMeester, K. (2013). Teacher beliefs and technology integration. Teaching and teacher education29, 76-85.

Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge? Contemporary Issues in Technology and Teacher Education, 9(1), 60-70.

Koltay, T. (2011). The media and the literacies: Media literacy, information literacy, digital literacy. Media, culture & society33(2), 211-221.

Lai, T. L., & Lin, H. F. (2018). An investigation of the relationship of beliefs, values and technological pedagogical content knowledge among teachers. Technology, Pedagogy and Education27(4), 445-458.

Liu, H., Wang, L., & Koehler, M. J. (2019). Exploring the intention‐behavior gap in the technology acceptance model: A mixed‐methods study in the context of foreign‐language teaching in China. British Journal of Educational Technology50(5), 2536-2556.

List, A., Brante, E. W., & Klee, H. L. (2020). A framework of pre-service teachers’ conceptions about digital literacy: Comparing the United States and Sweden. Computers & Education, 103788.

List, A. (2019). Defining digital literacy development: An examination of pre-service teachers’ beliefs. Computers & Education138, 146-158.

López-Belmonte, J., Marín-Marín, J. A., Soler-Costa, R., & Moreno-Guerrero, A. J. (2020). Arduino advances in web of science. A Scientific mapping of literary production. IEEE Access8, 128674-128682.

Ministry of National Education (MNE, 2018) 2023 Turkey’s Education Vision http://2023vizyonu.meb.gov.tr/

Mishra, P., & Koehler, M. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. The Teachers College Record, 108(6), 1017-1054.

Mulenga, E. M., & Marbán, J. M. (2020). Is COVID-19 the Gateway for Digital Learning in Mathematics Education? Contemporary Educational Technology12(2), ep269. https://doi.org/10.30935/cedtech/7949

Niess, M. L. (2005). Preparing teachers to teach science and mathematics with technology: Developing a technology pedagogical content knowledge. Teaching and teacher education21(5), 509-523.

P21 Partnership for 21st Century Learning (2019) Framework for 21st Century Learning. Retrieved from http://static.battelleforkids.org/documents/p21/P21_Framework_Brief.pdf

Rafique, H., Anwer, F., Shamim, A., Minaei-Bidgoli, B., Qureshi, M. A., & Shamshirband, S. (2018). Factors affecting acceptance of mobile library applications: structural equation model. Libri68(2), 99-112.

Saubern, R., Urbach, D., Koehler, M., & Phillips, M. (2020). Describing increasing proficiency in teachers’ knowledge of the effective use of digital technology. Computers & Education147, 103784.

Saleem, A., & Ilyas, M. (2019). Goals of Teaching Literature: Literacy, Liberalism and Global Citizenship. International Journal of English Language and Literature Studies8(2), 78-86.

Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational researcher, 15(2), 4-14.

Soler-Costa, R., Moreno-Guerrero, A. J., López-Belmonte, J., & Marín-Marín, J. A. (2021). Co-Word Analysis and Academic Performance of the Term TPACK in Web of Science. Sustainability, 13(3), 1481.

Tondeur, J., Scherer, R., Siddiq, F., & Baran, E. (2020). Enhancing pre-service teachers’ technological pedagogical content knowledge (TPACK): a mixed-method study. Educational Technology Research and Development68(1), 319-343.

United Nations Educational, Scientific and Cultural Organization (UNESCO). (2011). ICT competency standards for teachers (version 2). Paris: UNESCO.

Venkatesh, V. and Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Journal of Information Technology, 39, 273-315.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.

Venkatesh, V. and Davis, F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-208.

Voithofer, R., Nelson, M. J., Han, G., & Caines, A. (2019). Factors that influence TPACK adoption by teacher educators in the US. Educational Technology Research and Development67(6), 1427-1453.
Vol. 4 Iss. 2

Future jobs: Indonesian Primary Students’ Aspirations and Teachers’ predictions

Stefanus Christian Relmasira

Universitas Kristen Satya Wacana, Indonesia

Yiu Chi Lai & Chi Fuk Henry So

The Education University of Hong Kong, China

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Abstract: The transformation of occupations in Indonesia due to digital technologies, especially in Artificial Intelligence, becomes a challenge for current educators to prepare their students for future work skills. This research study seeks to understand what students’ career aspirations are and their teachers’ predictions about their students’ future careers. There were 125 Indonesian primary school students and 141 teachers in Central Java province involved in this research. Students were asked to draw the aspiration of their future jobs when they grow up in the next 15-20 years, and teachers were asked to draw their predictions of their students’ future careers. The results show some similarities and differences between students’ aspirations and teachers’ predictions. Both students and teachers have the same idea about the importance of jobs that emphasizing the use of creativity. However, students had a tendency to select their future careers related to creative and performing arts, whereas teachers predicted their students’ future jobs as teachers and lecturers. The data also shows that students incline to draw the use of high-technology tools in their future jobs, whereas teachers tend to describe the use of conventional tools in their students’ future careers. Further results are discussed in relation to the International Standard Classification of Occupations skill levels jobs.

Keywords: Automation; Artificial intelligence; Future jobs; Indonesia; Primary School; ISCO-08

Please Cite: Relmasira, S. C., Lai, Y. C., So, C. F. H. (2021). Future jobs: Indonesian Primary Students’ Aspirations and Teachers’ predictions. The European Educational Researcher, 2(5), 209-225.

DOI: https://doi.org/10.31757/euer.425

References

Allen, E. R. (2016). Analysis of Trends and Challenges in the Indonesian Labor Market. Asian Development Bank (ADB) Paper on Indonesia, (16), 1–38. https://doi.org/10.1016/J.RCP.2015.08.004

APJII. (2019). Penetrasi & Profil Perilaku Pengguna Internet Indonesia Tahun 2018 [ Penetration & behaviour Profile of Internet Users in Indonesia Year 2018]. APJII, 51. Retrieved from www.apjii.or.id

Auger, R. W., Blackhurst, A. E., & Wahl, K. H. (2005). American School Counselor Association The Development of Elementary-Aged Children’s Career Aspirations. Source: Professional School Counseling, 8(4), 322–329.

Berg, J., Furrer, M., Harmon, E., Rani, U., & Silberman, M. S. (2018). Digital labour platforms and the future of work Towards decent work in the online world. Retrieved from https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_645337.pdf

Bisnis.com. (2020). FINANSIAL (https://finansial.bisnis.com/). pp. 1–9.

BPS. (2019). Badan Pusat Statistik , Keadaan Ketenagakerjaan Indonesia 2019 [statistics Indonesia, The state of Employment in Indonesia 2019].

Cameron, C. A., Pinto, G., Stella, C., & Hunt, A. K. (2020). A Day in the Life of young children drawing at home and at school. International Journal of Early Years Education, 28(1), 97–113. https://doi.org/10.1080/09669760.2019.1605887

Chambers, N., Kashefpakdel, E. T., Rehill, J., & Percy, C. (2018). Drawing the Future: Exploring the career aspirations of primary school children from around the world. International Journal of Physical Education, 54(January), 104. Retrieved from https://www.educationandemployers.org/wp-content/uploads/2018/01/DrawingTheFuture.pdf

Cherney, I. D., Seiwert, C. S., Dickey, T. M., & Flichtbeil, J. D. (2006). Children’s drawings: A mirror to their minds. Educational Psychology, 26(1), 127–142. https://doi.org/10.1080/01443410500344167

Faccio, E., Costa, N., Losasso, C., Barrucci, F., Mantovani, C., Cibin, V., … Ricci, A. (2017). Drawing instead of answering to evaluate the effectiveness of food safety programmes in primary school. Health Education Journal, 76(1), 15–28. https://doi.org/10.1177/0017896916643102

Indriasari, E. (2019). Digital Banking Transformation: Application of Artificial Intelligence and Big Data Analytics for Leveraging Customer Experience in the Indonesia Banking Sector. Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019, (October), 863–868. https://doi.org/10.1109/IIAI-AAI.2019.00175

International Labour Organization. (2012). International Standard Classification of Occupations (Vol. 1). Retrieved from https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_172572.pdf

ITU (International Telecommunications Union). (2019). Measuring digital development. Facts and figures 2020. ITU Publications, 1–15. Retrieved from https://www.itu.int/myitu/-/media/Publications/2020-Publications/Measuring-digital-development-2019.pdf

Magnuson, C. S., & Starr, M. F. (2000). How early is too early to begin life career planning? The importance of the elementary school years. Journal of Career Development, 27(2), 89–101. https://doi.org/10.1177/089484530002700203

Ministry of Industry. (2018). Indonesia’s Fourth Industrial Revolution Making Indonesia - Making Indonesia 4.0. Kementerian Perindustrian, 24–27.

Relmasira, S., Thrupp, R.-M., & Hunt, J. (2017). Indonesian Teachers ’ Use of The Internet For Learning. 296–306. International Conference on Information Communication Technologies in Education (ICICTE).

Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019). Envisioning ai for k-12: What should every child know about ai? Proceedings of the AAAI Conference on Artificial Intelligence, 9795–9799. https://doi.org/10.1609/aaai.v33i01.33019795

Wake, D., & Suhenda, L. (2018). 2018 Indonesia Banking Survey Technology shift in Indonesia is underway. Retrieved from https://www.pwc.com/id/en/publications/assets/financialservices/2018-indonesia-banking-survey.pdf
Vol. 4 Iss. 2

Distributed Leadership: A Bibliometric Analysis Using Scopus Database (1981-2020)

García-Carreño, I.V.

University Pablo Olavide, Spain

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Abstract: Distributed Leadership is a conceptual and analytical approach to understanding leadership that is focused on interactions between leaders and those they lead with the goal of driving instructional improvement and improving student outcomes by developing high-quality teaching and an educational culture that enables all students to thrive. This article provides an overview of the state-of-the-art research available on distributed leadership. As new social and educational demands emerge, leadership responses need to be reformed at all school levels to ensure a school’s ability to provide a high-quality education. These transformations must be promoted from within each school center. The author describes and covers a deep review of the literature between 1981 and 2020. The source data for this research, (321articles), is derived from SCOPUS, Biblometrix Studio, and VOSviewer. The terms and their clusters were illustrated on graphs, and density maps were utilized. General recommendations are provided and challenges are identified for the incorporation of DL changes into the management of schools. The findings show that the literature refers explicitly to DL, wherein there are a number of interesting insights provided by theoretical articles. A conclusion is givenwith recommendations for further multidisciplinary research at the intersection of the fields in order to show the holistic landscape of this field.

Keywords:  Bibliometric review; Bibliometrix analyzes R; Co-authorship; Distributed leadership; Keywords analyses; Science mapping; VOSviewer.

Please Cite: García-Carreño, I., V. (2021). Distributed Leadership: A Bibliometric Analysis Using Scopus Database (1981-2020).  The European Educational Researcher, 2(6), 227-249. DOI: https://doi.org/10.31757/euer.426

References

Albort-Morant, G., Leal-Rodríguez, A., Fernández-Rodríguez, V., & Ariza-Montes, A. (2018). Assessing the origins, evolution and prospects of the literature on dynamic capabilities: A bibliometric analysis, European Research on Management and Business Economics (ERMBE), 24(1), 42-52. http://dx.doi.org/10.1016/j.iedeen.2017.06.004

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: A R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007.

Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377-386. https://doi.org/10.1162/qss_a_00019

Barnard, C. (1968). The functions of the executive. Harvard UniversityPress.

Beck, A. P., & Peters, L. (1981). The research evidence for distributed leadership in therapy groups. International Journal of Group Psychotherapy31(1), 43-71. https://doi.org/10.1080/00207284.1981.11492045

Becker, H., & Useem, R. H. (1942). Sociological analysis of the dyad. American Sociological Review, 7(1), 13–26. https://doi.org/10.2307/2086253

Benne, K. & Sheats, P. (1948). Functional roles of group members, Journal of Social Issues, 4(2), 41-49. https://doi.org/10.1111/j.1540-4560.1948.tb01783.x

Bennett, N., Wise, C., Woods, P. & Harvey, J. (2003). Distributed Leadership. Nottingham: National College of School Leadership.

Beaudry, C., & Lariviere, V. (2016). Which gender-gap? Factors affecting researchers’ scientific impact in science and medicine. Research Policy, 45(9), 1790–1817. https://doi.org/10.1016/j.respol.2016.05.009

Bolden, R. (2011). Distributed leadership in organizations: A review of theory and research, International Journal of Management Reviews, 13(3), 251-269. https://doi.org/10.1111/j.1468-2370.2011.00306.x

Bradford, S. (1985). Sources of information on specific subjects. Journal of Information Science, 10(4), 176–180. https://doi.org/10.1177/016555158501000407

Brown, M., & Hosking, D. (1986). Distributed leadership and skilled performance as successful organization in social movements. Human Relations39(1), 65-79. https://doi.org/10.1177%2F001872678603900104

Camburn, E., Rowan, B. & Taylor, J. (2003). Distributed leadership in schools: the case of elementary schools adopting comprehensive school reform models. Educational evaluation and policy analysis, 25(4), 347-373. https://doi.org/10.3102%2F01623737025004347

Cobo, M., López-Herrera, A., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525

Dahl, R. (1961) Who Governs? Democracy and Power in an American City, Yale University Press, New Haven, CT.

De la Cruz del Río-Rama, M., Maldonado-Erazo, C., Álvarez-García, J., & Durán-Sánchez, A (2020). Cultural and natural resources in tourism Island: Bibliometric mapping. Sustainability 12(2), 724-744. https://doi.org/10.3390/su12020724

Derviş, H. (2019). Bibliometric Analysis using Bibliometrix an R Package, Journal of Scientometric Res, 8(3), 156-160. https://doi.org/10.5530/jscires.8.3.32

Engeström, Y. (1999). Activity theory and individual and social transformation. In Engeström, Y., Miettinen, R. and Punamaki, R.L. (eds), Perspectives on Activity Theory, (pp. 19–38) y. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511812774.003

Etzioni, A. (1965). Dual leadership in complex organizations, American Sociological Review, 30(2), 688-698.  https://doi.org/10.2307/2091137

Festinger, L., Schacter, S., & Back, K. (1950). Social Pressure in Informal Groups: A Study of Human Factors in Housing, Harper, New York.

Follett, M. (1942/2003). Dynamic Administration: The Collected Papers of Mary Parker Follett, Routledge, London.

French, J., & Snyder, R. (1959). Leadership and interpersonal power. In: D.  Cartwright (Ed.) Studies in Social Power. (pp. 118-149). Ann Arbor, MI: Institute for Social Research, University of Michigan.

García, I. (2020). e-Leadership: A Bibliometric Analysis. International Journal of Advanced Corporate Learning (iJAC) 13(1), 19-34 https://doi.org/10.3991/ijac.v13i1.12341

Gibb, C. (1954). Leadership (Vol. 2). Reading, MA: Addison-Wesley

González-Álvarez, J., & Cervera-Crespo, T. (2017). Research production in high-impact journals of contemporary neuroscience: A gender analysis. Journal of Informetrics, 11(1), 232–243. https://doi.org/10.1016/j.joi.2016.12.007

Gronn, P. (2002). Distributed leadership as a unit of analysis, Leadership Quarterly 13(4), 423-451. http://doi:org/10.1016/S1048-9843(02)

Gronn, P. (2003). The New Work of Educational Leaders: Changing Leadership Practice in an Era of School Reform, Paul Chapman, London.

Gronn, P. (2008). The future of distributed leadership, Journal of Educational Administration, 46(2), 141-158. https://doi.org/10.1108/09578230810863235

Gümüş, S., Bellibaş, M., Gümüş, E., & Hallinger, P. (2020). Science mapping research on educational leadership and management in Turkey: a bibliometric review of international publications. School Leadership & Management, 40(1), 23-44. https://doi.org/10.1080/13632434.2019.1578737

Hallinger, P. & Kantamara, P. (2013). Leading at the confluence of tradition and globalisation: the challenge of change in Thai schools. Asia Pacific journal of education, 20(2), 45-57. https://doi.org/10.1080/02188791.2000.10600182

Hallinger, P., & Suriyankietkaew, S. (2018). Science Mapping of the Knowledge Base on Sustainable Leadership, 1990–2018. Sustainability, 10(12), 4846-4866. https://doi.org/10.3390/su10124846

Hallinger, P., & Chatpinyakoop, C. (2019). A bibliometric review of research on higher education for sustainable development, 1998–2018. Sustainability, 11(8), 2401- 2430. https://doi.org/10.3390/su11082401

Hallinger, P., & Kovačević, J. (2021). Science mapping the knowledge base in educational leadership and management: A longitudinal bibliometric analysis, 1960 to 2018. Educational Management Administration & Leadership49(1), 5-30. https://doi.org/10.1177%2F1741143219859002

Hallinger, P., & Vien-Thong, N (2020). Mapping the Landscape and Structure of Research on Education for Sustainable Development: A Bibliometric Review, Sustainability, 12(5), 1947-1953, https://doi.org/10.3390/su12051947

Harris, A. (2003). Teacher leadership as distributed leadership: Heresy, fantasy or possibility? School Leadership and Management, 23(3), 313-324. https://doi.org/10.1080/1363243032000112801

Harris, A. (2008). Distributed leadership: According to the evidence. Journal of Educational Administration, 46(2), 172-188. https://doi.org/10.1108/09578230810863253

Harris A. (2009). Distributed Leadership: What We Know. In: Harris A. (eds) Distributed Leadership. Studies in Educational Leadership, vol 7. Springer, Dordrecht, The Nederlands. https://doi.org/10.1007/978-1-4020-9737-9_2

Harris, A., & DeFlaminis, J. (2016). Distributed leadership in practice: Evidence, misconceptions and possibilities. Management in Education, 30(4), 141-146. https://doi.org/10.1177/0892020616656734

Harris, A., & Gronn, P. (2008). The future of distributed leadership. Journal of Educational Administration, 46(2), 141-158. https://doi.org/10.1108/09578230810863235

Harris, A., Leithwood, K., Day, C., Sammons, P., & Hopkins, D. (2007). Distributed leadership and organizational change: Reviewing the evidence. Journal of Educational Change, 8(4), 337-347. https://doi.org/10.1007/s10833-007-9048-4

Harzing, A., & Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science: A longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787–804. https://doi.org/10.1007/s11192-015-1798-9

Heck, R., & Hallinger, P. (2009). Assessing the contribution of distributed leadership and growth in math achievement. American Educational Research Journal, 46(3), 659-689. https://doi.org/10.3102/0002831209340042

Heinicke, C., & Bales, R. F. (1953). Developmental trends in the structure of small groups. Sociometry, 16(1), 7-38. https://doi.org/10.2307/2785953

Herrera-Franco, G., Montalván-Burbano, N., Carrión-Mero, P., Apolo-Masache, B., & Jaya-Montalvo, M. (2020). Research Trends in Geotourism: A Bibliometric Analysis Using the Scopus Database. Geosciences, 10(10), 379-399. https://doi.org/10.3390/geosciences10100379

Hoogendoorn, G. (2008). Scopus: The continuing development of an abstract and citation database. The Serials Librarian, 55(1-2), 227-234. https://doi.org/10.1080/03615260801970899

Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: MIT Press

Katz, D. & Kahn, R. (1978). The Social Psychology of Organizations, Social Forces, 57(4), 1413–1415, https://doi.org/10.1093/sf/57.4.1413

Kerr, S., & Jermier, J. (1978). Substitutes  for  leadership: Their  meaning  and  measurement, Organizational  Behavior and Human Performance, 22(3), 375-403. https://doi.org/10.1016/0030-5073(78)90023-5

Louis, K., & Marks, H. (1998). Does professional community affect the classroom? Teachers' work and student experiences in restructuring schools. American journal of education, 106(4), 532-575. https://doi.org/10.1086/444197

Mao, G., Huang, N., Chen, L., & Wang, H. (2017). Research on biomass energy and environment from the past to the future: A bibliometric analysis. Environ. Sci. Technol, 51(13), 7599-7605. https://doi.org/10.1016/j.scitotenv.2018.04.173

Manz, C., & Sims, H. (1986). Self-leadership: Toward an expanded theory of self-influence processes in organizations. Academy of Management Review, 11(3), 585-600. https://doi.org/10.5465/amr.1986.4306232

Mehra, A., Smith, B., Dixon, A., & Robert-son, B. (2006). Distributed leadership in teams: The network of leadership perceptions and team performance. The Leadership Quarterly 17(3), 232-245. https://doi.org/10.1016/j.leaqua.2006.02.003

Moed, H., & Glänzel, W. (2005). Citation analysis of scientific journals and journal impact measures. Current Science, 89(12), 1990-1996. Retrieved May 4, 2021, from http://www.jstor.org/stable/24111059

Mohamed, A., Abdul Razak, A., & Abdullah, Z. (2020). Most-Cited Research Publications on Educational Leadership and Management: A Bibliometric Analysis. International Online Journal of Educational Leadership, 4(2), 33-50. https://doi.org/1186/2046-4053-4-1

Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., & Stewart, L. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) statement. Systematic Reviews, 4(1), 1–6. https://doi.org/10.1186/2046-4053-4-1

Northouse, P. (2010). Leadership: Theory and Practice. Western Michigan University: Sage.

Rousseau, R., Egghe, L., & Guns, R. (2018). Becoming metric-wise: A bibliometric guide for researchers. Chandos Publishig.Cambridge, MA, United States.

Samul, J. (2020). The Research Topics of Leadership: Bibliometric Analysis from 1923 to 2019. International Journal of Educational Leadership and Management, 8(2), 116-143. http://dx.doi.org/10.17583/ijelm.2020.5036

Schein, E. (1988). Organizational Psychology, Prentice-Hall, Englewood Cliffs, NJ.

Scopus (2020). Content Coverage Guide, Elsevier: Amsterdam.

Segura-Robles, A., Parra-González, M. E., & Gallardo-Vigil, M. (2020). Bibliometric and Collaborative Network Analysis on Active Methodologies in Education. Journal of New Approaches in Educational Research, 9(2), 259-274. http://dx.doi.org/10.7821/naer.2020.7.575

Sinkovics, N. (2016). Enhancing the foundations for theorising through bibliometric mapping, International Marketing Review, 33(3),327-350. https://doi.org/10.1108/IMR-10-2014-0341

Spillane, J. (2005). Distributed leadership. Educational Forum 69(2), 143-150. http://dx.doi.org/10.1080/00131720508984678

Spillane, J., Halverson, R., & Diamond, J. (2001). Investigating School Leadership Practice: A Distributed Perspective. Educational Researcher30(3), 23–28. https://doi.org/10.3102/0013189X030003023

Spillane, J., Halverson, R. & Diamond, J. (2004) Towards a theory of leadership practice: a distributed perspective. Journal of curriculum studies, 31(1), 3-34. https://doi.org/10.1080/0022027032000106726

Timperley, H. (2005). Distributed leadership: Developing theory from practice. Journal of Curriculum Studies, 37(4), 395-420. https://doi.org/10.1080/00220270500038545

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review Introduction: The need for an evidence- informed approach. Br. J. Manag, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375

Todeschini, R., & Baccini, A. (2016). Handbook of bibliometric indicators: Quantitative tools for studying and evaluating research. Wiley. https://doi.org/10.1002/9783527681969

Uhl-Bien, M. (2006). Relational leadership theory: exploring the social processes of leadership and organizing. The Leadership Quarterly Review of Leadership, 17(6), 654–676. https://doi.org/10.1016/j.leaqua.2006.10.007

van Dinter, R., Tekinerdogan, B., & Catal, C. (2021). Automation of Systematic Literature Reviews: A Systematic Literature Review. Information and Software Technology, 136(1), 1-17. https://doi.org/10.1016/j.infsof.2021.106589

van Eck, N., & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, R. Rousseau, & D. Wolfram (Eds.), Measuring scholarly impact: Methods and practice (pp. 285-320). Springer.

https://doi.org/10.1007/978-3-319-10377-8_13

van Eck, N., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111, 1053–1070. https://doi.org/10.1007/s11192-017-2300-7

van Eck, N., & Waltman, L. (2019). Manual for VOSviewer. University of Leiden, The Nederland.

VOSviewer. (2020). https://www.vosviewer.com/

Waltman L., & van Eck N. (2012). A new methodology for constructing a publication-level classification system of science. Journal of the American Society for Information Science and Technology, 63(12). 2378– 2392. https://doi.org/10.1002/asi.22748

Wheatley, M. (1999). Leadership and the new science: Discovering order in a chaotic world. San Francisco: Berrett-Koehler Publishers.

Yukl, G. (2006). Leadership in Organizations. Upper Saddle River, NJ: Pearson Education.

 

 

Vol. 4 Iss. 2

Levels of Ethnocentricism Among Teachers of Turkish as a Foreign Language

Mehmet Emre ÇELİK & Latif İLTAR

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Abstract: In this study, in which the levels of ethnocentrism of those who teach Turkish as a foreign language were examined in line with various variables, the general survey model within the scope of descriptive research was implemented. The research was carried out with 185 instructors who teach Turkish as a foreign language in various state or private institutions in the 2020-2021 academic year. In order to assess the ethnocentrism level of teachers, a 5-item Likert-type Ethnocentrism Scale, comprised of 20 questions, developed by Neuliep and McCroskey (1997) and which was later adapted to Turkish by Üstün (2011) was used. In the study, it was found that the levels of ethnocentrism of those who teach Turkish as a foreign language differ significantly according to such variables as gender, age, their holding a Turkish teaching certificate for foreigners and to the MA program they graduated from, yet it was also concluded that there was no significant difference according to the other variables as the institution they work for, the department they studied in, whether they know a foreign language, where they teach Turkish, and their intercultural communication competence.

Keywords: Etnocentricism; Teaching Turkish as a Foreign Language; Intercultural Communication Competence.

Please Cite: Celik, M.E., Iltar, L.(2021). Levels of Ethnocentricism Among Teachers of Turkish as a Foreign Language. The European Educational Researcher,4(2), 251-266.DOI: https://doi.org/10.31757/euer.427

References

Bennett, M. J. (1986). A developmental approach to training for intercultural sensitivity. International Journal of Intercultural Relations10(2), 179-196.

Bennett, M. J. (1998). Intercultural communication: A current perspective.  Milton J. Bennett (Ed.), In Basic concepts of intercultural communication: Selected readings (pp. 1-34). Yarmouth, ME: Intercultural Press

Bhawuk, D. P. S.,  Richard, B. (1992). The measurement of intercultural sensitivity using the concepts of individualism and collectivism. International Journal of Intercultural Relations. 16. 413-436

Chen, G. M., & Starosta, W. J. (1997). A review of the concept of intercultural sensitivity. Human Communication, 1, 1-16.

Chen, G. M. (2010). The impact of intercultural sensitivity on ethnocentrism and intercultural communication apprehension. Intercultural Communication Studies, XIX(1), 1-9.

Douglas S., R. & Rosvold M. (2018). Intercultural communicative competence and english for academic purposes:a synthesis review of the scholarly literatüre. The Canadian Journal of Applied Linguistics 21 (1), 23-42.

Eğinli, A., T. (2011). Kültürlerarası yeterliliğin kazanılmasında kültürel farklılık eğitimlerinin önemi [The importance of cultural diversity education in gaining intercultural competence]. Öneri Dergisi. 35. 215-227.

Goldstein, S. B. & Kim, R. I. (2006) Predictors of US college students’ participation instudy abroad programs: A longitudinal study. International Journal of Intercultural Relations. 30. 507–521

Hammer, M. R., Bennett, M. J., & Wiseman, R. (2003). Measuring intercultural sensitivity: the intercultural development inventory. International Journal of Intercultural Relations. 27. 421-443.

İçli, G. (2015). Sosyolojiye giriş [Introduction to sociology]. Ankara: Anı Yayıncılık.

Karasar, N. (2007). Bilimsel araştırma yöntemi [Scientific research method]. Ankara: Nobel Yayın Dağıtım.

Neuliep, J. W. & McCroskey, J. C. (1997). The development of a U.S. and generalized ethnocentrism scale. Communication Research Reports. 14 (4), 385-398.

Neuliep, J. W., Chaudoir, M. & McCroskey J. C. (2001) A cross‐cultural comparison of ethnocentrism among Japanese and United States college students. Communication Research Reports, 18 (2), 137-146,

Özkan, H. (2018). English language instructors’ perceptions of intercultural communicativ competence in a multicultural context: a suggested model. Doktora Tezi [Doctoral thesis]. Hacettepe Üniversitesi Eğitim Bilimleri Enstitüsü. Ankara.

Özyurt, C. (2020). Eğitim sosyolojisi yazıları [Educational sociology articles]. Ankara: PEGEM.

Saygılı, D. ve Kana, F. (2018). Yabancı dil olarak Türkçe öğreten öğretmenlerin kültürlerarası duyarlılığı [Intercultural sensitivity of teachers teaching Turkish as a foreign language]. Ana Dili Eğitimi Dergisi, 6(4), 1041-1063

Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics (sixth ed.). Boston: Pearson.

Üstün, E. (2011). Öğretmen Adaylarının Kültürlerarası Duyarlılık ve Etnikmerkezcilik Düzeylerini Etkileyen Etmenler [The Factors Affecting the Intercultural Sensitivity and Ethniccentrism Levels of Teacher Candidates]. Yüksek Lisans Tezi [Master Thesis]. Yıldız Teknik Üniversitesi, İstanbul.

Yılmaz, G. ve Tepe, N. (2020). Yurt dışında görev yapan okutmanların kültürlerarası iletişim algılarının incelenmesi: Nitel bir araştırma [Examining the intercultural communication perceptions of lecturers working abroad: A qualitative study]. Uluslararası Türkçe Edebiyat Kültür Eğitim Dergisi, 9(4), 1616-1633.
Vol. 4 Iss. 2

Elementary School Teachers’ Views Scale on the Using Zoom in Compulsory Distance Education During the Pandemic: Psychometric Properties

Ceyhun Memiş

Download: FULL TEXT PDF
Download: 49, size: 0, date: 02.Jun.2021

Abstract: Just as important phenomena such as natural disasters, conflicts and pandemics have effects on people’s lives, new technologies also have impacts on people’s lives and lifestyles. As a part of COVID-19, many countries have been forced to practice distance education at almost all educational levels. The pandemic of COVID-19 inspired educators to schedule for online learning.
To help students learn, educators have used a range of online synchronous meeting technologies (SMTs). Zoom is a widely used, immersive, and easy-to-use SMT. In order to integrate Zoom application effectively which has started to be used in many countries and at all levels of education, it is essential to determine the teachers’ thoughts and attitudes about using Zoom in the distance education process. To assess teachers’ views, a valid and reliable measuring tool is needed. This research sought to create a valid and reliable scale that would assess teachers’ views on the use of Zoom in distance education based on this need. The scale validity and reliability analysis have used for content validity, EFA, CFA, Cronbach alpha, and Composite reliability. According to the study’s findings the scale is valid and reliable. Future researchers will be able to apply the developed scale in our study, to teachers working at various educational levels. Furthermore, the scale can be adapted for teachers serving in a variety of countries and cultures.

Keywords: Compulsory Distance Education; COVID 19; Elementary School Teachers’ View Scale; Zoom.

Please Cite: Memiş, C. (2021). Elementary School Teachers’ Views Scale on the Using Zoom in Compulsory Distance Education During the Pandemic: Psychometric Properties. The European Educational Researcher, 4(2), 267-282. DOI: https://doi.org/10.31757/euer.428

References

Bakioğlu, B., & Çevik, M. (2020). COVID-19 Pandemisi Sürecinde Fen Bilimleri Öğretmenlerinin Uzaktan Eğitime İlişkin Görüşleri [Science Teachers’ Views on Distance Education in the COVID-19 Pandemic Process]. Journal of Turkish Studies, 15(Issue 4), 109–129. https://doi.org/10.7827/turkishstudies.43502

Basilaia, G., & Kvavadze, D. (2020). Transition to Online Education in Schools during a SARS-CoV-2 Coronavirus (COVID-19) Pandemic in Georgia. Pedagogical Research, 5(4). https://doi.org/10.29333/pr/7937

Becta. (2004). A review of the research literature on barriers to the uptake of ICT by teachers. https://dera.ioe.ac.uk/1603/1/becta_2004_barrierstouptake_litrev.pdf

Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., Lambert, S. R., Al-freih, M., Pete, J., Olcott, D., Rodes, V., Aranciaga, I., Alvarez, A. V, Roberts, J., Pazurek, A., Raffaghelli, J. E., Coëtlogon, P. De, Shahadu, S., Brown, M., … Mano, M. (2020). A global outlook to the interruption of education due to COVID-19 Pandemic : Navigating in a time of uncertainty and crisis. 15(1), 1–126.

Cohen, L., Manion, L., & Morrison, K. (1994). Educational research methodology. Athens: Metaixmio.

Demir, S. (2011). Two inseparable facets of technology integration programs: Technology and theoretical framework. Eurasia Journal of Mathematics, Science and Technology Education, 7(2), 75–88. https://doi.org/10.12973/ejmste/75182

Deng, M., Wang, S., Guan, W., & Wang, Y. (2017). The development and initial validation of a questionnaire of inclusive teachers’ competency for meeting special educational needs in regular classrooms in China. International Journal of Inclusive Education, 21(4), 416–427. https://doi.org/10.1080/13603116.2016.1197326

Edwards, J. R., & Bagozzi, R. P. (2000). On the nature and direction of relationships between constructs and measures. Psychological Methods, 5(2), 155–174. https://doi.org/10.1037//1082-989x.5.2.155

Ertmer, P. A. (2005). Teacher Pedagogical Beliefs : The Final Frontier in Our Quest for Technology Integration ? Educational Technology Research and Development, 53(4), 25–39. https://doi.org/10.1007/BF02504683

Ghahramanian, A., Zamanzadeh, V., Rassouli, M., Abbaszadeh, A., Alavi-Majd, H., & Nikanfar, A.-R. (2015). Design and Implementation Content Validity Study: Development of an instrument for measuring Patient-Centered Communication. Journal of Caring Sciences, 4(2), 165–178. https://doi.org/10.15171/jcs.2015.017

Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis (Seventh ed). Pearson Education, Inc.

Jackson, D. L., Gillaspy, J. A., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14(1), 6–23. https://doi.org/10.1037/a0014694

Kline, T. J. B. (2005). Psychological Testing Apractical Approach to Design and Evaluation. Sage publications.

Kohnke, L., & Moorhouse, B. L. (2020). Facilitating Synchronous Online Language Learning through Zoom. RELC Journal, August. https://doi.org/10.1177/0033688220937235

Kovacic, D. (2018). Using the Content Validity Index to Determine Content Validity of an Instrument Assessing Health Care Providers’ General Knowledge of Human Trafficking. Journal of Human Trafficking, 4(4), 327–335. https://doi.org/10.1080/23322705.2017.1364905

Lapada, A. A., Miguel, F. F., Robledo, D. A. R., & Alam, Z. F. (2020). Teachers’ Covid-19 Awareness, Distance Learning Education Experiences and Perceptions towards Institutional Readiness and Challenges. International Journal of Learning, Teaching and Educational Research, 19(6), 127–144. https://doi.org/10.26803/ijlter.19.6.8

Lawrence, J. E., & Tar, U. A. (2018). Factors that influence teachers’ adoption and integration of ICT in teaching/learning process. Educational Media International, 55(1), 79–105. https://doi.org/10.1080/09523987.2018.1439712

Murphy, L., Eduljee, N. B., & Croteau, K. (2020). College Student Transition to Synchronous Virtual Classes during the COVID-19 Pandemic in Northeastern United States. Pedagogical Research, 5(4), em0078. https://doi.org/10.29333/pr/8485

Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., & Agha, R. (2020). The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 78(January), 185–193. https://doi.org/10.1016/j.ijsu.2020.04.018

Pelgrum, W. J. (2001). Obstacles to the integration of ICT in education: Results from a worldwide educational assessment. Computers and Education, 37(2), 163–178. https://doi.org/10.1016/S0360-1315(01)00045-8

Phan, T. T. N., & Dang, L. T. T. (2017). Teacher Readiness for Online Teaching: A Critical Review. Int. J. Open Distance E-Learn. IJODeL, 3(1), 1–16. http://ijodel.com/wp-content/uploads/2017/12/001_Phan_Dang.pdf

Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459–467. https://doi.org/10.1002/nur.20199

Radwan, A., & Radwan, E. (2020). Social and Economic Impact of School Closure during the Outbreak of the COVID-19 Pandemic: A Quick Online Survey in the Gaza Strip. Pedagogical Research, 5(4), em0068. https://doi.org/10.29333/pr/8254

Sherry, L., & Gibson, D. (2002). The path to teacher leadership. Contemporary Issues in Technology and Teacher Education, 2(2), 178–203. http://www.citejournal.org/vol2/iss2/general/article2.cfm

Spathis, P., & Dey, R. (2020). What Is Zoom Not Telling You : Lessons From an Online Course During COVID-19. https://hal.archives-ouvertes.fr/hal-02936885

Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2

The jamovi project. (2020). jamovi ((Version 1.6)). https://www.jamovi.org/

Tsarapkina, J. M., Anisimova, A. V., Grigoriev, S. G., Alekhina, A. A., & Mironov, A. G. (2020). Application of Zoom and Mirapolis Virtual Room in the context of distance learning for students. Journal of Physics: Conference Series, 1691(1). https://doi.org/10.1088/1742-6596/1691/1/012094

Watkins, M. W. (2018). Exploratory Factor Analysis: A Guide to Best Practice. Journal of Black Psychology, 44(3), 219–246. https://doi.org/10.1177/0095798418771807

Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Journal of Emergency Primary Health Care, 8(3), 1–13. https://doi.org/10.33151/ajp.8.3.93

Yong, A. G., & Pearce, S. (2013). A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79–94. https://doi.org/10.20982/tqmp.09.2.p079

Yusoff, M. S. B. (2019). ABC of Content Validation and Content Validity Index Calculation. Education in Medicine Journal, 11(2), 49–54. https://doi.org/10.21315/eimj2019.11.2.6


				
		
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