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The 5P Reflection Model for Education in the Generative Artificial Intelligence (GenAI) Era

Author
Aziz Shuaib Ausi
Published
7 September 2026
Reading time
1 min
Publication type
Knowledge Resource
Availability
Open access
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The emergence of Generative Artificial Intelligence (GenAI) has introduced significant challenges for academic institutions globally, particularly concerning academic integrity and the scholarship of teaching and research. Traditional reflection models are proving inadequate in authenticating student reflection due to GenAI's integration into educational processes. This research proposes the '5P Reflection Model' as an integrated, GenAI-aware framework designed to address these challenges and leverage the opportunities presented by GenAI in education.

Why it matters

The integration of Generative AI profoundly impacts educational frameworks, necessitating a re-evaluation of pedagogical approaches and assessment methodologies. Developing GenAI-aware models for reflective learning is critical for maintaining academic standards and fostering genuine skill development in an evolving technological landscape.

Key insights

  • GenAI is impacting academic integrity and the scholarship of teaching and research within universities.
  • Traditional reflection models are insufficient for authenticating student reflections in a GenAI-integrated educational environment.
  • A GenAI-aware reflection model is necessary to navigate the challenges and opportunities presented by this technology.
  • The proposed '5P Reflection Model' is an integrated framework that incorporates features from existing models and addresses technological aspects of GenAI.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2609.03413

Citation

Cite this publication (APA 7)

Aziz Shuaib Ausi (2026). The 5P Reflection Model for Education in the Generative Artificial Intelligence (GenAI) Era. Knowledge Resource. Aziz Shuaib Ausi. https://www.azizshuaib.com/verify/ASA-EXE-2026-00162

Verification

This is an authenticated institutional record.

Verification ID
ASA-EXE-2026-00162
Version
v1.0 · r0
Issued
7 September 2026
Publisher
Aziz Shuaib Ausi
Licence
All rights reserved. Reproduction requires written permission.

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