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Assessment and evaluation are indeed chief ways through which student learning can be measured, downtrend areas of their performances perfected, and instructional strategies shaped. The incorporation of Artificial Intelligence into these processes may completely revolutionize traditional approaches: more accurate, efficient, and individualized assessment. The in-depth review herein makes a case for how AI technologies are potentially going to revolutionize educational assessment and evaluation. Some of the salient findings that come out are that AI can provide instant feedback; it is "highly accurate in assessments using advanced data analytics"; it facilitates personalized learning experiences, meeting the requirements of each student. The review also looks at a number of challenges and ethical concerns concerning AI adoption in education, and provides insights into how these technologies can be implemented effectively and responsibly to improve educational outcomes.
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Apetorgbor et al. (2024) studied this question.
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