Cited by 2Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Perceptions of the Use of Generative AI in Higher Education: A Survey of Tanzanian Universities

Maro, Salome, Kondoro, Aron, Mtebe, Joel·2025·2025 IST-Africa Conference (IST-Africa)

Abstract

Generative Artificial Intelligence (AI) presents various opportunities in the education domain. It is gaining popularity due to capabilities such as automated content creation and grading systems aimed at enhancing teaching and streamlining administrative tasks. This study investigates the perceptions of lecturers from Tanzanian universities regarding the usefulness of Generative AI in their teaching and research activities. The study used a quantitative survey which attracted 113 responses from lectures of ten higher learning institutions in Tanzania from various disciplines. The findings indicate that lecturers see AI as beneficial for enhancing academic activities, particularly content generation, research and grading. However, survey respondents expressed concerns over job displacement, ethical implications, and the potential reduction of critical thinking skills among students. Understanding lecturers' perceptions of the usefulness of AI tools is essential, as their views directly influence how effectively AI tools can be integrated into teaching and academic tasks. Insights from this study can inform policies, training and institutional strategic planning to maximize AI potential benefits in higher education.

Overview

Integrity signals

Registry

Crossref · 10.23919/ist-africa67297.2025.11060468

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

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.

Citations

Cites

Flagged first, then by citations

Show all 10 references

Research works printed but not linked: 3

  1. Chiu, Empowering education with generative artificial intelligence tools: Approach with an instructional design matrix
  2. Rogers, 2003, Diffusion of innovations
  3. 2024, List of approved university institutions

Cited by

Sorted by citations

See all 2

Metadata

Authors
Maro, S., Kondoro, A., & Mtebe, J.
Affiliations
  • University of Dar es Salaam (TZ)
  • Mwalimu Julias Nyerere University of Agriculture and Technology,Mara,Tanzania,P.O. Box 976
Venue
2025 IST-Africa Conference (IST-Africa)
Publisher
IEEE
Published
2025-05-28
Pages
1-9
OpenAlex
W4412346830
Cited by
2
References
10
Citations by year
2026: 1 · 2025: 1
FWCI
2.29
Type
conference paper
Language
en
Open access
closed
Locations
IST-Africa Conference (IST-Africa) (publishedVersion)
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
generative AI, lecturer perceptions, higher education, Tanzanian universities, automated grading, content creation, artificial intelligence in research, job displacement, AI ethics, critical thinking, AI in teaching

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