AI-powered assessment tools for E-learning: Enhancing feedback and grading systems
Technical Learning Experience Designer
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 792–802.
Article DOI: 10.30574/wjaets.2024.13.1.0497
Publication history:
Received on 04 September 2024; revised on 11 October 2024; accepted on 13 October 2024
Abstract:
Recently, there has been increased incorporation of artificial intelligence in the education system, which has impacted the practice and use of assessment in learning. To this end, the following is a paper discussing the role of AI in grading, instant feedback, and personalized adaptive testing. The paper also covers the ability of AI to minimize bias and introduce fairness while grading, as well as the ability that comes with the mass LMS platforms. Moreover, this paper discusses the issues and guidelines regarding the ethical use of AI in education: data protection, the problem of automated prejudice in AI, and the replacement of human tutors. When these seemingly unimportant problems are solved, and institutions admit that ethical practices are critical, such opportunities for Artificial Intelligence can be harnessed to make learning more efficient and fairer. At last, integrating AI into learning benefits teachers and students: it enhances the teaching and learning processes. It creates the prospects for the future global exposition of technology with human creativity to enrich learners.
Keywords:
Artificial Intelligence (AI); Education; Assessment Tools; Automated Grading; Personalized Feedback; Adaptive Learning
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0