Artificial Intelligence and Evaluation in the Teaching-Learning Process: Emerging Paradigms and Directions
DOI:
https://doi.org/10.5281/zenodo.17284924Keywords:
artificial intelligence, assessment and evaluation, grading system, data analytics, ai ethics, teaching methods, classroom learning, automated and adaptive assessmentAbstract
In recent educational setup Artificial Intelligence is growing faster which is changing the whole perspective of the education sector. Now the teaching – learning process is equipped with new technological advancement. In this research paper researchers intended to mention all AI enhanced features which are affecting educational setup in various ways. In this critical evaluative research study researcher conducted this research study in a specific domain of evaluation and assessment process with teaching learning advancements. In this research study recent reviews, feedback analysis and interpreting techniques with AI applications being involved for better comprehensive research. Other various strategies such as adaptive learning, data analytics and automated based learning which are induced with AI applications are also those evaluation and assessment areas. A bonding between AI and human resources is a new thing for every field, same for education as well. At one end this union makes things exploring and advanced, but on the other hand it is also adversely affecting human natural intellect and originality. Professional growth with AI advancement is also a new thought-provoking aspect which is affecting the teaching-learning process in different ways. For better development and advancement of the education sector depends upon genuine utility of AI with creative transformation of human skills. This research study will emphasise on all possible aspects of AI based evaluation and assessment in the teaching- learning process.
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Chiu, T. K. F. (2023). Challenges and opportunities of AI in schools: A meta-review on artificial intelligence in education. Computers & Education, 199, 104860. https://doi.org/10.1016/j.compedu.2023.104860
Frontiers in Artificial Intelligence. (2024). Educational evaluation in the age of artificial intelligence: Challenges and innovations. Frontiers in AI, 7. https://www.frontiersin.org/research-topics/60399
Georgieva, M., & Stuart, J. (2025). Ethics is the edge: The future of AI in higher education. EDUCAUSE Review. https://er.educause.edu/articles/2025/6/ethics-is-the-edge-the-future-of-ai-in-higher-education
Gligorea, I., Smeureanu, G., Marinica, C., & Smeureanu, M. (2023). Adaptive learning using artificial intelligence in e-learning. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216
Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Hurix Digital. (2025). AI in education: Revolutionizing assessment now!. Retrieved from: https://www.hurix.com/ai-in-education-revolutionizing-assessment-now/
Ihichr, A., El Azhari, J., El Barhoumi, A., & Benhaddou, D. (2024). A systematic review on assessment in adaptive learning. International Journal of Advanced Computer Science and Applications, 15(7), 855–870. https://thesai.org/Publications/ViewPaper?Volume=15&Issue=7&Code=IJACSA&SerialNo=103
Johnson, C. G., Green, J. A., & Boyer, K. E. (2023). Adaptive assessment systems in K–12 education: A review of recent advances and trends. Journal of Computer Assisted Learning, 39(1), 1–20. https://doi.org/10.1111/jcal.12685
Minn, S., Cho, S., Park, H., & Lee, H. (2022). AI-assisted knowledge assessment techniques for adaptive learning. Intelligent Education Systems, 4(2), 55–68. https://doi.org/10.1016/j.ies.2022.02.005
Papamitsiou, Z., & Economides, A. A. (2022). Learning analytics and data-driven decision making in education: A systematic literature review. Educational Technology & Society, 25(2), 20–39.
Perrotta, C., & Selwyn, N. (2020). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 159, 113676. https://doi.org/10.1016/j.eswa.2020.113676
UNESCO. (2024). Guidelines for the ethical use of artificial intelligence in education. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000380455
U.S. Department of Education, Office of Educational Technology. (2023). Artificial intelligence and the future of teaching and learning. https://tech.ed.gov/artificial-intelligence
Wang, S. (2024). Artificial intelligence in education: A systematic review. Journal of Educational Technology & Society, 27(1), 45–60.
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Copyright (c) 2025 Neeraj Kumar, Anukampa
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Research Articles in 'Social Science Journal for Advanced Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
