The European Educational Researcher

A Short Review of AI in Education: Perspectives from the Web of Science Database

Nuri Balta 1
1 SDU University
Download PDF
The European Educational Researcher, Volume 7, Issue 2, June 2024, pp. 41-43
OPEN ACCESS VIEWS: 961 DOWNLOADS: 372 Publication date: 15 Jun 2024
ABSTRACT
The advent of artificial intelligence (AI) in education marks a significant shift in pedagogical approaches and learning experiences. This editorial explores recent advancements, challenges, and future directions of AI in education, drawing on key findings from the Web of Science database.
KEYWORDS
---
CITATION (APA)
Balta, N. (2024). A Short Review of AI in Education: Perspectives from the Web of Science Database. The European Educational Researcher, 7(2), 41-43. https://doi.org/10.31757/euer.723
REFERENCES
  1. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278.
  2. Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers & Education, 146, 103751.
  3. Lindgren, R., & Johnson-Glenberg, M. (2013). Emboldened by Embodiment: Six Precepts for Research on Embodied Learning and Mixed Reality. Educational Researcher, 42(8), 445-452.
  4. Ma, W., Adesope, O. O., & Nesbit, J. C. (2014). Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis. Journal of Educational Psychology, 106(4), 901-918.
  5. McNamara, D. S., Crossley, S. A., Roscoe, R. D., Allen, L. K., & Dai, J. (2015). A hierarchical classification approach to automated essay scoring. Assessing Writing, 23, 35-59.
  6. Romero, C., & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. Wiley interdisciplinary reviews: Data mining and knowledge discovery, 10(3), e1355.
  7. Schiff, D. (2022). Education for AI, not AI for education: The role of education and ethics in national AI policy strategies. International Journal of Artificial Intelligence in Education, 32(3), 527-563.
  8. West, S. M. (2019). Data Capitalism: Redefining the Logics of Surveillance and Privacy. Business & Society, 58(1), 20-41.
  9. Woolf, B. P., Burleson, W., Arroyo, I., Dragon, T., Cooper, D. G., & Picard, R. W. (2013). Affect-aware tutors: recognising and responding to student affect. International Journal of Learning Technology, 4(3-4), 129-164.
  10. Yang, T. C., Hwang, G. J., & Yang, S. J. H. (2013). Development of an adaptive learning system with multiple perspectives based on students' learning styles and cognitive styles. Journal of Educational Technology & Society, 16(4), 185-200.
  11. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27.
  12. Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1), 8812542.
LICENSE
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.