AI-Generated Text Detection and Prevention of Unethical AI Use in Student Exams

The widespread use of Artificial Intelligence (AI) technologies based on Large Language Models (LLM) is significantly transforming the educational landscape. While AI is proving its benefits for personalized learning, it also poses serious challenges, especially in terms of assessing students' knowledge during exams and independent work. Tools like ChatGPT can help students generate or refine text, which raises questions about academic honesty.This paper examines the effectiveness of AI text detectors, as well as ways to circumvent them. The focus of the research is on Bulgarian language texts, as there is currently a dearth of such data and revised English and Bulgarian texts in terms of grammar and style only.Effective examination practices should include anti-manipulation measures such as proctoring technologies and authentication. Attendance exam remains the most reliable method of ensuring both academic honesty and important social interactions critical to students' future career development.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/ciees62939.2024.10811427
Citations
2
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
4.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Generated Text Detection and Prevention of Unethical AI Use in Student Exams

Tsvetozar Georgiev, Kalina Nikiforova-Ilieva
2 citations
Artificial Intelligence in Law
4.46
article

AI-Generated Text Detection and Prevention of Unethical AI Use in Student Exams

Tsvetozar Georgiev, Kalina Nikiforova-Ilieva
article en
2 citations

Abstract

The widespread use of Artificial Intelligence (AI) technologies based on Large Language Models (LLM) is significantly transforming the educational landscape. While AI is proving its benefits for personalized learning, it also poses serious challenges, especially in terms of assessing students' knowledge during exams and independent work. Tools like ChatGPT can help students generate or refine text, which raises questions about academic honesty.This paper examines the effectiveness of AI text detectors, as well as ways to circumvent them. The focus of the research is on Bulgarian language texts, as there is currently a dearth of such data and revised English and Bulgarian texts in terms of grammar and style only.Effective examination practices should include anti-manipulation measures such as proctoring technologies and authentication. Attendance exam remains the most reliable method of ensuring both academic honesty and important social interactions critical to students' future career development.

Angel Kanchev University of Ruse (BG)
University of Ruse
Openalex Percentile: Top 5%
Artificial Intelligence in Law
4.46
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.