Meta-Study of the Evolutionary Transformative Academic Landscape by Artificial Intelligence and Machine Learning

International Journal of Education Teaching and Social Sciences, Journal Year: 2024, Volume and Issue: 4(1), P. 20 - 35

Published: Jan. 31, 2024

This article titled “The Evolutionary Transformative Academic Landscape by Artificial Intelligence and Machine Learning (Meta-Study)" explores the profound impact of AI ML on education, particularly in context remote learning COVID-19 pandemic. The study systematically reviews literature higher aiming to understand its pedagogical advantages ethical implications. objectives include assessing digital transformation classrooms, evaluating effectiveness enhancing outcomes, examining their role personalized identifying areas for improvement. research questions focus contribution supporting individualized learning. review delves into ML's academia, teaching, learning, research, considerations application. employs a meta-systematic approach, incorporating statistical analyses addressing concerns ensure AI's effective utilization education. study's findings indicate positive correlation between implementing technologies improving student engagement, academic performance, productivity, teacher satisfaction. It highlights necessity further optimize use considering software quality, styles, integration skills. contributes understanding transformative reshaping education fostering more advanced, dynamic environment.

Language: Английский

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Published: Jan. 1, 2024

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Language: Английский