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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM33676
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The impact of Artificial Intelligence (AI) on higher education is a topic of increasing significance in today’s rapidly evolving technological landscape. AI, characterized by machines mimicking human cognitive functions such as learning, reasoning, and problem-solving, has the potential to revolutionize various aspects of higher education, from teaching and learning methodologies to administrative processes and student support services. This aims to provide a comprehensive overview of the key areas where AI is transforming higher education and the implications of these transformations. One of the primary areas where AI is making significant strides is in personalized learning. AI-powered learning systems can analyse vast amounts of data on student behaviour, performance, and preferences to tailor educational content and delivery methods to individual needs. This personalization enhances student engagement, motivation, and outcomes by providing customized learning experiences that address each student’s strengths, weaknesses, and learning styles. AI is reshaping the role of educators by augmenting their capabilities and effectiveness. Intelligent tutoring systems, chatbots, and virtual assistants can assist educators in tasks such as grading assignments, providing instant feedback to students, and managing administrative tasks. This frees up educators’ time to focus more on designing innovative curricula, engaging with students on higher-order learning activities, and fostering critical thinking and problem-solving skills. AI is revolutionizing research and knowledge discovery in higher education. AI algorithms can analyse vast amounts of scholarly publications, data sets, and research trends to identify patterns, correlations, and new research avenues. This accelerates the pace of discovery, facilitates interdisciplinary collaboration, and enhances the quality and relevance of research outputs. In the realm of administrative processes, AI-driven systems are st
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Publication Date
12/31/45421
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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