Cited by 65Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationIntelligent Tutoring Systems and Adaptive Learning

Examining the Effect of ChatGPT Usage on Students’ Academic Learning and Achievement: A Survey-Based Study in Ajman, UAE

Open access
Youssef, Enaam, Medhat, Mervat, Abdellatif, Soumaya, Al Malek, Mahra·2024·Computers and Education Artificial Intelligence

Abstract

This research examines the use of ChatGPT among university-level students in the United Arab Emirates (UAE) and its effects on their learning experiences . The precise focus remains on the effects of ChatGPT usage on Student Engagement, Critical Thinking Abilities, and Academic Achievement. Using the cross-sectional design, the Constructivism Learning Theory supports this research. Data gathered using 353 structured questionnaires is analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM). Results showed that ChatGPT usage positively affects student engagement in the learning process. The effect of ChatGPT usage on Critical Thinking Abilities also remained significant. Finally, the findings indicated the positive effect of ChatGPT usage on the Academic Achievement of Emirati students. These results imply a robust, positive, and constructive role of AI technology, particularly ChatGPT, in the education and learning journey of university students in the UAE. It is concluded that ChatGPT is a useful tool that helps students by providing resources and suggestions throughout their learning process. It increases engagement, effort, and ambition in academic tasks, enhancing academic achievement. ChatGPT supports educational progress and motivates students to obtain knowledge by improving their interest in learning. Finally, the study's implications and limitations are discussed. Also, recommendations for future studies are proposed.

Integrity signals

Registry

Crossref · 10.1016/j.caeai.2024.100316

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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
Youssef, E., Medhat, M., Abdellatif, S., & Al Malek, M.
Affiliations
  • Ain Shams University (EG)
  • Ajman University (AE)
Corresponding author
Youssef, Enaam
Venue
Computers and Education Artificial Intelligence
Publisher
Elsevier BV
Published
2024-12
Volume
7
Pages
100316
ISSN
2666-920X (ISSN-L)
OpenAlex
W4403740025
Cited by
65
References
40
Citations by year
2026: 27 · 2025: 35 · 2024: 3
FWCI
24.49
Type
journal article
Language
en
Open access
Locations
  • Computers and Education Artificial Intelligence (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Ajman University (201.9.IRG-HB7-7)
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 › Intelligent Tutoring Systems and Adaptive Learning
Keywords
ChatGPT, generative AI in education, university students, student engagement, critical thinking, academic performance, constructivist learning theory, Emirati students, Ajman

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