The European Educational Researcher

The Impact of Lecturer Profiles on Digital Learning Habits in Higher Education

The European Educational Researcher, Volume 8, Issue 2, June 2025, pp. 31-58
OPEN ACCESS VIEWS: 98 DOWNLOADS: 37 Publication date: 15 Jun 2025
ABSTRACT
The increasing reliance on digital technologies in higher education has significantly transformed teaching and learning practices, highlighting the distinct roles of research- and teaching-oriented faculty in digital pedagogy. Research-oriented faculty contribute to active digital learning by promoting critical thinking, problem-solving, and collaborative activities. Their use of innovative digital tools encourages intellectual curiosity and engagement but may sometimes overwhelm students with complex materials. In contrast, teaching-oriented faculty excel in structuring passive digital learning through clear and accessible content delivery, fostering knowledge acquisition. However, their emphasis on structured approaches can limit opportunities for interactive engagement. This study investigates the impact of these contrasting academic profiles on students’ learning experiences in digital environments. Using a mixed-methods approach, it explores how active and passive learning modes align with faculty strengths, shaping academic outcomes and student perceptions. Findings indicate that research-oriented faculty inspire scientific exploration and independent inquiry, while teaching-oriented faculty create supportive, accessible learning environments. Students value the strengths of both profiles but emphasize the need for a balanced approach that integrates structure with critical engagement. The study underscores the importance of professional development programs that encourage faculty to transcend traditional boundaries, equipping research-oriented faculty with pedagogical strategies and teaching-oriented faculty with interactive tools. Institutions must also adapt digital platforms to support diverse teaching styles, fostering inclusive and dynamic pedagogy. By bridging the gap between research and pedagogy, this study highlights the potential for hybrid approaches in the digital era, enabling faculty to optimize the benefits of digital learning for a diverse student body.
KEYWORDS
Digital learning, learning experience, learning habits, pedagogy and research orientation, reading practices, teacher-lecturer.
CITATION (APA)
Yossel-Eisenbach,, Y., Davidovitch, N., & Gerkerova, A. (2025). The Impact of Lecturer Profiles on Digital Learning Habits in Higher Education. The European Educational Researcher, 8(2), 31-58. https://doi.org/10.31757/euer.823
REFERENCES
  1. Aagaard, T., & Lund, A. (2020). Digital agency in higher education: Transforming teaching and learning. Routledge.
  2. Alelaimat, A. M., Ihmeideh, F. M., & Alkhawaldeh, M. F. (2020). Preparing preservice teachers for technology and digital media integration: Implications for early childhood teacher education programs. International Journal of Early Childhood, 52(3), 299–317.‏ https://doi.org/10.1007/s13158-020-00276-2
  3. Ausubel, D. P. (1962). A subsumption theory of meaningful learning and retention. Journal of General Psychology, 66(2), 213–224.
  4. Avidov-Ungar, O. (2013). Professional development in an era of change and reforms – the meaning of perceiving continuity. In S. Shimoni & O. Avidov-Ungar (Eds.), On the continuum: Training, specialization, and teachers’ professional development – policy, theory, and practice (pp. 197-228). Mofet Institute. [in Hebrew]
  5. Avidov-Ungar, O. & Reingold, R. (2013). From policy to implementation: The reform in Israel’s professional development policy: The perspectives of the Ministry of Education’s districts. Dapim, 59, 207-230. [in Hebrew]
  6. Avidov-Ungar, O., Shamir-Inbal, T., & Blau, I. (2021). Characteristics of professional development processes for online teaching and characteristics of teaching activities by elementary school teachers during the Covid-19 lockdowns (summary report). Office of the Chief Scientist, Ministry of Education. [in Hebrew]
  7. Bain, J. D. & McNaught, C. (2006). How academics use technology in teaching and learning. Journal of Computer Assisted Learning, 22(2), 99–113.
  8. Bandura, A. (1965). Behavioral modification through modeling procedures. In L. Krosner & L. P. Ullman (Eds.), Research in behavior modification: New developments and implications (pp. 310–340). New York: Holt, Rinehart & Winston, Inc.
  9. Bar-Zohar, B., Josefsberg Ben-Yehoshua, L., & Avidov-Ungar, O. (2022). Assessment, evaluation and digital-professional development of digital competence of educators based on DigCompEdu European Commission framework. Mofet Institute. [in Hebrew]
  10. Bullock, D. (2004). Moving from theory to practice: An examination of the factors that pre-service teachers encounter as they attempt to gain experience teaching with technology, Journal of Technology and Teacher Education, 12(2), 211–237.
  11. Csíkszentmihályi, M. (1990). Flow: The psychology of optimal experience. New York: Harper and Row.
  12. Davidovitch, N. & Yossel-Eisenbach, Y. (2018). On technology and students' reading practices– and their pedagogical significance. International Journal of Current Innovation Research, 4(1), 1005–1044. ISSN: 2395-5775.
  13. Davidovitch, N. & Yossel-Eisenbach, Y. (2024). The effect of students’ social and scholastic background and environmental impact on shaping their habits of digital learning in academia: A pre- and post-Covid comparative view.
  14. Davidovitch, N., Yavich, R., & Druckman, E. (2016). Don’t throw out paper and pens yet: On the reading habits of students. Journal of International Education Research, 12(4), 129–144.
  15. Dewey, J. (1938). Experience & Education. New York, NY: Kappa Delta Pi.
  16. European Commission. (2013). Supporting teacher competence development for better learning outcomes (Report). European Commission.
  17. Fergusson, A., & Wild, C. J. (2021). On traversing the data landscape: Introducing APIs to data‐science students. Teaching Statistics, 43, 71–83.‏ DOI: 10.1111/test.12266
  18. Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51‏. DOI: 10.3390/educsci9010051
  19. Kainan, A., Asaf, M., Bezalel, Y., Hoz, R., & Elam, N. (2004). Who are you, the pedagogic supervisor? Cultural and social aspects. Beer Sheva: Ben Gurion University of the Negev. [in Hebrew]
  20. Kaniel, S. (2004). Actions of the mind: The fundamentals of education for thinking. Tel Aviv: Ramot. [in Hebrew]
  21. Kaniel, S. (2006). Teaching for thinking: Cognitive education towards controlling the mind. Tel Aviv: Ramot. [in Hebrew]
  22. Maslow, A. H. (1968). Towards a psychology of being. Princeton NJ: Van Nostrand.
  23. OECD. (2020). Innovating teachers’ professional learning through digital technologies (‏OECD education working paper no. 237). OECD Publications.
  24. Parnafes, O. & Weinstock, M. (2013). Meaningful learning experiences. Hed Hachinuch, 88(1), 82-85. [in Hebrew]
  25. Passig, D. (2000). A taxonomy of future thinking and learning skills. Bar-Ilan University. Accessed December 16, 2012, from http://info.smkb.ac.il/home/home.exe/2111/18398 [in Hebrew]
  26. Perkins, D. N. (1998). Smart schools: From training memories to educating minds. Jerusalem: Branco Weiss Institute and Ministry of Education. [in Hebrew]
  27. Piaget, J. (1992). The psychology of the child. Tel Aviv: Sifriat Poalim. [in Hebrew]
  28. Rondan, L. C., Cadenillas-Albornoz, V., Zavala-Alfaro, F. E., Zavala-Alfaro, B. S., & Arellanos-Tafur, O. N. (2022). Soft skills and digital competencies in teacher professional development in times of a COVID-19 pandemic. International Journal of Early Childhood Special Education, 14(1), 64–73.‏ DOI: 10.9756/INT-JECSE/V14I1.221009
  29. Rotem, A., & Peled, I. (2008). Towards an online school. Tel Aviv: Mofet. [in Hebrew]
  30. Schleicher, A. (2019). Helping our youngest to learn and grow: Policies for early learning. International Summit on the Teaching Profession. OECD Publishing.
  31. Scull, J., Phillips, M., Sharma, U. & Garnier, K. (2020). Innovations in teacher education at the time of COVID19: An Australian perspective. Journal of Education for Teaching, 46(4), 497–506. DOI: 10.1080/02607476.2020.1802701
  32. Sengottuvelan, P., Lokeshkumar, R., & Gopalakrishnan, T. (2017). An improved session identification approach in web log mining for web personalization. Journal of Internet Technology, 18(4), 723–730. DOI: 10.18848/1447-9494/CGP/v17i04/46972
  33. Shavitzky, Z. & Barth, I. (2000). Crossroads along the way. Tel Aviv: Mofet. [in Hebrew]
  34. Sternberg, R. (1985). A triarchic theory of human intelligence beyond I.Q. N.Y.: Cambridge University Press.
  35. Stuhlmann, J. M., & Taylor, H. G. (1998). Analyzing the impact of tele-communications on learning outcomes in elementary classrooms. Journal of Computing in Childhood, 9(1), 79–92.
  36. Suhua, H., Pelusa, O., & Matthew, C. (2016). U.S. and Chilean college students' reading practices: A cross-cultural perspective. Reading Research Quarterly, 51(4), 455–471.
  37. Tikochinsky, M. (2002). Habitss of student participation in forums in online academic courses. Research supervised by Prof. Rafi Nachmias, Tel Aviv University, Department of Education. Accessed January 7, 2012 from http://portal.macam.ac.il/ArticlePage.aspx?id=560. [in Hebrew]
  38. Whitehead, A. N. (1962). The aims of education and other essays. London: Ernest Benn.
  39. Yair, G. (2006). From key experiences to turning points: A study of educational impacts. Bnei Brak: Sifriat Poalim. [in Hebrew]
  40. Zajda, J. (Ed.) (2024). International handbook on globalisation, education and policy research: Global pedagogies and policies. Springer Science & Business Media.
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