AGE COHORT EFFECTS IN AI SUPPORTED LEARNING: AN ANALYSIS OF GRADES FOR 2021–2023 ENTRANTS AT JAPAN DIGITAL UNIVERSITY
Аннотация
This paper investigates the transformative impact of artificial intelligence (AI) on higher education, with a specific focus on Japan Digital University between 2021 and 2023. Drawing on empirical data, cohort-based performance trends, and technological developments, the study explores how the systematic integration of AI tools—such as adaptive learning platforms, intelligent tutoring systems, and automated feedback mechanisms—contributed to measurable academic improvements. During the three-year period, the percentage of students receiving top grades significantly increased, while failure rates declined, indicating a positive shift in learning outcomes.
Ключевые слова
Artificial Intelligence (AI), Higher Education, Japan Digital University, Student Performance, Educational Technology, Digital Learning, Academic Achievement, Generative AI, Grade Trends, Post-Pandemic Education
Библиографические ссылки
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