THE ROLE OF AI IN ENHANCING PERSONALISED LEARNING, AUTOMATED ASSESSMENT, INTELLIGENT TUTORING, AND STUDENT ENGAGEMENT

This study investigates the impact of artificial intelligence (AI) on personalized learning, automated assessment and feedback, intelligent tutoring systems, and student engagement in online learning environments. The research focuses on fourth-year English major students at a university in the Mekong Delta region, utilizing a mixed-methods approach with both quantitative and qualitative data collection. A questionnaire was administered to 155 participants to gather quantitative insights into their perceptions of AI tools in enhancing learning experiences, while semi-structured interviews provided qualitative data to explore students’ experiences in more depth. The findings reveal that AI-driven tools significantly improve personalized learning by adapting content to individual needs, provide timely and effective feedback, enhance tutoring support, and boost student engagement through interactive and gamified elements. The study contributes to the growing body of literature on AI in education, highlighting its potential to transform learning outcomes and student experiences in higher education.

Authors

Institutions

Publication Details

Journal
Turkish Online Journal of Distance Education
Published
2025-10-01
DOI
https://doi.org/10.17718/tojde.1612295
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE ROLE OF AI IN ENHANCING PERSONALISED LEARNING, AUTOMATED ASSESSMENT, INTELLIGENT TUTORING, AND STUDENT ENGAGEMENT

Lam Ky Nhan
Turkish Online Journal of Distance Education
Online Learning and Analytics
article

THE ROLE OF AI IN ENHANCING PERSONALISED LEARNING, AUTOMATED ASSESSMENT, INTELLIGENT TUTORING, AND STUDENT ENGAGEMENT

Lam Ky Nhan
article en

Abstract

This study investigates the impact of artificial intelligence (AI) on personalized learning, automated assessment and feedback, intelligent tutoring systems, and student engagement in online learning environments. The research focuses on fourth-year English major students at a university in the Mekong Delta region, utilizing a mixed-methods approach with both quantitative and qualitative data collection. A questionnaire was administered to 155 participants to gather quantitative insights into their perceptions of AI tools in enhancing learning experiences, while semi-structured interviews provided qualitative data to explore students’ experiences in more depth. The findings reveal that AI-driven tools significantly improve personalized learning by adapting content to individual needs, provide timely and effective feedback, enhance tutoring support, and boost student engagement through interactive and gamified elements. The study contributes to the growing body of literature on AI in education, highlighting its potential to transform learning outcomes and student experiences in higher education.

Turkish Online Journal of Distance EducationVol. 26(4)
Can Tho University (VN)
Openalex Percentile: Top 70%
Online Learning and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.