Work

Age Cohort Effects in Ai Supported Learning: an Analysis of Grades for 2021–2023 Entrants at Japan Digital University

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16605895

Authors: Boboyev, Lochinbek, Ziyodullayev, Amirbek

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W6912221538

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