Bibliometric Review of Research Trends in Artificial Intelligence in Education
Keywords:
Artificial Intelligence (AI), education, trends, blibiometrikAbstract
This study provides an overview of research trends in the application of Artificial Intelligence (AI) in education over the period 2019-2023. Through a bibliometric review of 3000 publications in the Scopus database, we identified several key focus areas including personalization of learning, data mining, and ethical and practical challenges in the application of AI in education. Results show a growing interest in these topics with an increasing number of publications each year. While this study provides important insights, there are limitations such as limited data sources on Scopus and challenges in classifying and interpreting certain data. The findings show potential for further research on how to apply AI in education as well as implications for educational practitioners.
References
Russell S.J., & Norvig P. (2016). Artificial Intelligence: A Modern Approach. Pearson Education Limited.
Luckin R., Holmes W., Griffiths M., Forcier L.B. (2016). Intelligence Unleashed: An argument for AI in Education. Baker R.S.J.D., & Yacef K. (2009).The state of educational data mining in 2009: A review and future visions.
Zawacki-Richter O., Marín V.I., Bond M.Otherset al(2020).Systematic review of research on artificial intelligence applications in higher education - where are the educators?
Pena-Ayala A. (2014) Educational data mining: A survey and a data mining-based analysis of recent works. Russell S.J., & Norvig P. (2016). Artificial Intelligence: A Modern Approach. Pearson Education Limited.
Luckin R., Holmes W., Griffiths M., Forcier L.B. (2016). Intelligence Unleashed: An argument for AI in Education. Baker R.S.J.D., & Yacef K. (2009).The state of educational data mining in 2009: A review and future visions.
Zawacki-Richter O., Marín V.I., Bond M.Otherset al(2020).Systematic review of research on artificial intelligence applications in higher education - where are the educators?
Pena-Ayala A. (2014) Educational data mining: A survey and a data mining-based analysis of recent works. Russell S.J., & Norvig P. (2016). Artificial Intelligence: A Modern Approach. Pearson Education Limited.
Luckin R., Holmes W., Griffiths M., Forcier L.B. (2016). Intelligence Unleashed: An argument for AI in Education. Baker R.S.J.D., & Yacef K. (2009).The state of educational data mining in 2009: A review and future visions.
Zawacki-Richter O., Marín V.I., Bond M.Otherset al(2020).Systematic review of research on artificial intelligence applications in higher education - where are the educators?
Pena-Ayala A. (2014) Educational data mining: A survey and a data mining-based analysis of recent works. Smith J., Johnson L., Brown S. (2020) The Role of AI in Education and the Changing Face of Classrooms. Russell S.J., & Norvig P. (2016). Artificial Intelligence: A Modern Approach. Pearson Education Limited.
Luckin R., Holmes W., Griffiths M., Forcier L.B. (2016). Intelligence Unleashed: An argument for AI in Education. Baker R.S.J.D., & Yacef K. (2009).The state of educational data mining in 2009: A review and future visions.
Zawacki-Richter O., Marín V.I., Bond M.Otherset al(2020).Systematic review of research on artificial intelligence applications in higher education - where are the educators?
Pena-Ayala A. (2014) Educational data mining: A survey and a data mining-based analysis of recent works. Smith J., Johnson L., Brown S. (2020) The Role of AI in Education and the Changing Face of Classrooms.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Moh. Ferdi Hasan
This work is licensed under a Creative Commons Attribution 4.0 International License.
