Mellan stöd och fusk: En studie om studenters etiska AI användning och behovet av institutionellt stöd

This study examines how university students perceive and ethically engage with generative AI-tools, particularly ChatGPT, within higher education. Using qualitative semi-structured interview, the research explores students’ motivation, usage pattern, and ethical reflections regarding these tools. The findings reveal a diverse range of ChatGPT, from assistance with structuring and understanding academic tasks to creating entire texts and solutions. Students highlight the tool’s potential for increasing efficiency and time-saving benefits, yet simultaneously express concern about its implications for academic integrity and the difference between acceptable support and unacceptable cheating. Interpreting the results through the lens of sociotechnical systems theory (STS), the study shows how ethical usage depends on the interplay between technological availability, individual decision-making, and institutional governance. The study contributes by emphasizing and highlighting students’ need for clear transparent institutional guidelines and contextualized ethical support for AI use in higher education, and proposes the integration of explainable AI-support (XAI) features into learning management systems (LMS) to provide accessible and contextual ethical guidance on AI use.

Publication Details

Journal
KTH Publication Database DiVA (KTH Royal Institute of Technology)
Published
2025-01-01
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mellan stöd och fusk: En studie om studenters etiska AI användning och behovet av institutionellt stöd

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Geochemistry and Geologic Mapping
article

Mellan stöd och fusk: En studie om studenters etiska AI användning och behovet av institutionellt stöd

article en

Abstract

This study examines how university students perceive and ethically engage with generative AI-tools, particularly ChatGPT, within higher education. Using qualitative semi-structured interview, the research explores students’ motivation, usage pattern, and ethical reflections regarding these tools. The findings reveal a diverse range of ChatGPT, from assistance with structuring and understanding academic tasks to creating entire texts and solutions. Students highlight the tool’s potential for increasing efficiency and time-saving benefits, yet simultaneously express concern about its implications for academic integrity and the difference between acceptable support and unacceptable cheating. Interpreting the results through the lens of sociotechnical systems theory (STS), the study shows how ethical usage depends on the interplay between technological availability, individual decision-making, and institutional governance. The study contributes by emphasizing and highlighting students’ need for clear transparent institutional guidelines and contextualized ethical support for AI use in higher education, and proposes the integration of explainable AI-support (XAI) features into learning management systems (LMS) to provide accessible and contextual ethical guidance on AI use.

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Peace, Justice and strong institutions
Openalex Percentile: Top 68%
Geochemistry and Geologic Mapping
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.