Problems and Countermeasures in University Students' Use of AI for Writing Undergraduate Dissertations

The proliferation of artificial intelligence (AI) technology has led to an increasing number of undergraduate students relying on AI tools to write their graduation theses, thereby sparking controversies over academic integrity and educational quality. Research indicates this phenomenon has resulted in the following key issues: blurred boundaries of academic integrity and lagging regulatory frameworks‌; decline in critical thinking and weakening of research capabilities‌; defects in detection technologies and misalignment in evaluation systems‌. To address these challenges, countermeasures should focus on three dimensions: constructing a tiered supervision system‌ to clarify ethical academic boundaries; strengthening formative assessment‌ to force strengthened research skills training; developing reliable detection technologies‌ to eradicate superficial evaluations.

Authors

Institutions

Publication Details

Journal
International Journal of Education and Humanities
Published
2025-07-04
DOI
https://doi.org/10.54097/ey9k0w70
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

Problems and Countermeasures in University Students' Use of AI for Writing Undergraduate Dissertations

Yonglong Wang
International Journal of Education and Humanities
Online Learning and Analytics
article

Problems and Countermeasures in University Students' Use of AI for Writing Undergraduate Dissertations

Yonglong Wang
article en

Abstract

The proliferation of artificial intelligence (AI) technology has led to an increasing number of undergraduate students relying on AI tools to write their graduation theses, thereby sparking controversies over academic integrity and educational quality. Research indicates this phenomenon has resulted in the following key issues: blurred boundaries of academic integrity and lagging regulatory frameworks‌; decline in critical thinking and weakening of research capabilities‌; defects in detection technologies and misalignment in evaluation systems‌. To address these challenges, countermeasures should focus on three dimensions: constructing a tiered supervision system‌ to clarify ethical academic boundaries; strengthening formative assessment‌ to force strengthened research skills training; developing reliable detection technologies‌ to eradicate superficial evaluations.

International Journal of Education and HumanitiesVol. 20(1)
Chongqing Technology and Business University (CN)
Openalex Percentile: Top 82%
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.