ChatGPT in higher education: Measurement instruments to assess student knowledge, usage, and attitude

Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students’ (1) knowledge about ChatGPT, (2) actual ChatGPT usage and perceived value of use, and (3) attitude towards ChatGPT. Our second aim was to examine the intercorrelations between these scales, and to investigate differences (a) across five academic fields (i.e., human sciences, social sciences, teaching profession, health sciences, and law and economics) and (b) between stages of education (i.e., number of semesters). <i>N</i> = 693 students from various German universities participated in our online survey. Quality checks (Cronbach’s alpha, MacDonald’s omega, and confirmatory factor analyses) show satisfactory results for all scales. The scales all positively relate to each other, except for the knowledge and attitude scales. This means that more knowledge about ChatGPT is connected to a less favorable attitude regarding the generative AI tool. Lastly, MANOVA and subsequent Bonferroni corrected ANOVA tests show that ChatGPT is mostly used by law and economics students, and most frequently by students in the third year of higher education.

Authors

Institutions

Publication Details

Journal
Contemporary Educational Technology
Published
2024-09-10
DOI
https://doi.org/10.30935/cedtech/15144
Citations
13
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.56

Funders

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

ChatGPT in higher education: Measurement instruments to assess student knowledge, usage, and attitude

Johannes Hartig, Carmen Köhler
13 citations
Contemporary Educational Technology
Artificial Intelligence in Healthcare and Education
1.56
article

ChatGPT in higher education: Measurement instruments to assess student knowledge, usage, and attitude

Johannes Hartig, Carmen Köhler
article en
13 citations

Abstract

Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students’ (1) knowledge about ChatGPT, (2) actual ChatGPT usage and perceived value of use, and (3) attitude towards ChatGPT. Our second aim was to examine the intercorrelations between these scales, and to investigate differences (a) across five academic fields (i.e., human sciences, social sciences, teaching profession, health sciences, and law and economics) and (b) between stages of education (i.e., number of semesters). <i>N</i> = 693 students from various German universities participated in our online survey. Quality checks (Cronbach’s alpha, MacDonald’s omega, and confirmatory factor analyses) show satisfactory results for all scales. The scales all positively relate to each other, except for the knowledge and attitude scales. This means that more knowledge about ChatGPT is connected to a less favorable attitude regarding the generative AI tool. Lastly, MANOVA and subsequent Bonferroni corrected ANOVA tests show that ChatGPT is mostly used by law and economics students, and most frequently by students in the third year of higher education.

Contemporary Educational TechnologyVol. 16(4)
DIPF | Leibniz Institute for Research and Information in Education (DE)
Deutsche Forschungsgemeinschaft, Leibniz-Gemeinschaft
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
1.56
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.