Studenters uppfattning och användning av generativ AI : En jämförande studie mellan Sverige och Botswana

This study aimed to identify similarities and differences in the perception and use of generative AI between students in two different countries with potentially different conditions for the diffusion of these tools. The question for the study was: “How do students’ perception and use of generative AI in education differ between Botswana and Sweden?”, with a sub-question: “What further initiatives could be valuable to reduce the risk of an AI divide between students in Botswana and Sweden?”. To investigate the question, a survey study was conducted, with 91 respondents, with questions about access, use and perception of generative AI, which were analyzed quantitatively, and an interview study with questions designed according to the UTAUT framework. The results show that students in Botswana and Sweden have similar knowledge of, use of and trust in generative AI, although use and perception differ in some areas. These differences include the number of tools used, the tools used, their applications, as well as perceptions of risks and the impact that generative AI may have on society. Students from Botswana reported using a greater number and variety of generative AI tools, while students in Sweden reported using generative AI tools for a wider range of applications.

Publication Details

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

Studenters uppfattning och användning av generativ AI : En jämförande studie mellan Sverige och Botswana

KTH Publication Database DiVA (KTH Royal Institute of Technology)
AI in Service Interactions
article

Studenters uppfattning och användning av generativ AI : En jämförande studie mellan Sverige och Botswana

article en

Abstract

This study aimed to identify similarities and differences in the perception and use of generative AI between students in two different countries with potentially different conditions for the diffusion of these tools. The question for the study was: “How do students’ perception and use of generative AI in education differ between Botswana and Sweden?”, with a sub-question: “What further initiatives could be valuable to reduce the risk of an AI divide between students in Botswana and Sweden?”. To investigate the question, a survey study was conducted, with 91 respondents, with questions about access, use and perception of generative AI, which were analyzed quantitatively, and an interview study with questions designed according to the UTAUT framework. The results show that students in Botswana and Sweden have similar knowledge of, use of and trust in generative AI, although use and perception differ in some areas. These differences include the number of tools used, the tools used, their applications, as well as perceptions of risks and the impact that generative AI may have on society. Students from Botswana reported using a greater number and variety of generative AI tools, while students in Sweden reported using generative AI tools for a wider range of applications.

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Quality Education
Openalex Percentile: Top 72%
AI in Service Interactions
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.

Studenters uppfattning och användning av generativ AI : En jämförande studie mellan Sverige och Botswana · KTH Publication Database DiVA (KTH Royal Institute of Technology) (2025) | TGRS Research Map | TGRS