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Research Summary: Influence of AI tools across research processes on the research productivity of postgraduate students in Nigerian public universities

Original authors
Attribution requires verification
Original source
Frontiers in Education
Summary & Analysis prepared by
Aziz Shuaib Ausi
Resource type
Research Summary / Knowledge Resource
Resource published on AZIZ OS
3 October 2026
Reading time
1 min
Publication type
Knowledge Resource
Availability
Open access
About this Summary & Analysis

AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.

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A study investigated the impact of Artificial Intelligence (AI) tools on the research productivity of postgraduate students in Nigerian public universities. The research aimed to understand how AI tools, utilized across preparation, analysis, and dissemination stages, influence student research output, within the frameworks of UTAUT2 and Experiential Learning Theory. This study used a descriptive survey design with 312 respondents, but the specific results regarding influence on productivity are not detailed in the provided summary.

Why it matters

The integration of AI tools into academic research processes has significant implications for enhancing research output and quality globally, particularly in developing contexts. Understanding their influence on postgraduate student productivity can inform strategic investments in educational technology and capacity building, directly impacting national innovation and knowledge economies.

Key insights

  • Artificial Intelligence is increasingly transforming research practices in higher education.
  • Empirical evidence on AI's support for student research productivity is limited, especially in developing regions.
  • The study focused on postgraduate students in Nigerian public universities.
  • It examined AI tool usage during research preparation, analysis, and dissemination stages.
  • Theoretical frameworks guiding the study included the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Experiential Learning Theory.
  • A descriptive survey design was employed, involving 312 respondents.
  • Data collection was via the AI Tools Utilisation and Research Productivity Questionnaire (AITURPQ).
  • Data analysis was to be conducted using simple linear regression.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1932631

Citation

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Verification ID
ASA-EXE-2026-01174
Version
v1.0 · r0
Issued
3 October 2026
Resource prepared by
Aziz Shuaib Ausi
Resource status
Research Summary / Knowledge Resource
Underlying work
Influence of AI tools across research processes on the research productivity of postgraduate students in Nigerian public universities
Original authors
Attribution requires verification
Original source
Frontiers in Education
Provenance status
Attribution requires verification
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