This study offers a holistic bibliometric review of the developing part of artificial intelligence tools in educational assessment. The study aims at understanding how AI tools like GPT-4 are helping in solving assessment problems and how they are improving the quality, time, and individualization of education. Through an analysis of 126 academic publications, the research identifies the important writers, countries, and institutions that have shaped the growing scholarship in this area. The study reveals both the advantages and the pitfalls of AI, with specific focus on the ethical issues of data collection, prejudice, and equity. Furthermore, the study stresses the necessity of an international approach and interdisciplinary research to enhance the impact of AI in educational contexts. The results show that the studied AI tools are still under development, but they have a great potential to change the current practices of educational assessment. Results show that research on application of AI in educational assessment has increased in the past two years especially in 2024, the most frequent references are to sources from the field of computer science and medicine, the United States of America and the People’s Republic of China are leading in publication and citation of articles, articles are mainly presented in lecture notes, research collaborations are limited to small groups and all groups studied are from the same country, and; it is expected that in future, studies will continue to explore automated grading, authomated assessment, open ended questions and feedback. Findings provide a useful starting point for researchers.

Authors:
Erdem Aksoy, TED University, Turkey

---

Conference Comments & Feedback

Place a comment using your LinkedIn profile

Comments

Share on activity feed

Post with LinkedIn

Powered by WP LinkPress

Share this Presentation

Share this...

Facebook

Pinterest

Twitter

Linkedin

Posted by James Alexander Gordon

Last updated: 2023-02-23 23:45:00

All Posts