Cited by 8Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationAI in Service Interactions

Exploring ChatGPT's Potential and Concerns in Higher Education

Tick, Andrea·2024·2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY)

Abstract

The present quantitative study investigates the initial application of ChatGPT, an AI-powered chatbot, in higher education. Employing a two-stage survey approach with 133 participants, ChatGPT's awareness, usage patterns, and perceived benefits for educational purposes are assessed. While high awareness was evident, diverse usage patterns and attitude emerged. Most participants engaged with ChatGPT sporadically or not at all, with a minority relying heavily on it, even for homework and exam assistance. Overall responses showed dubious and careful, rather negative attitude towards ChatGPT. However, traditional learning methods remained crucial for the majority, these findings reveal a mixed picture. ChatGPT holds potential to supplement and enhance learning, but it has not replaced traditional methods yet.

Integrity signals

Registry

Crossref · 10.1109/sisy62279.2024.10737595

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Tick, A.
Affiliations
Obuda University (HU)
Corresponding author
Tick, Andrea
Venue
2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY)
Publisher
IEEE
Published
2024-09-19
Pages
000447-000454
OpenAlex
W4404057339
Cited by
8
References
28
Citations by year
2026: 1 · 2025: 7
FWCI
3.05
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Symposium on Intelligent Systems and Informatics (SISY) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
ChatGPT, large language models, AI chatbots in education, higher education, student attitudes toward AI, usage patterns, traditional learning methods

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review