What does this research mean for the field?

Defensible higher education assessment in the Generative AI era requires redesigning evaluation frameworks around reasoning transparency to ensure human cognitive ownership remains visible and assessable. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

To address the destabilization of assessment by generative AI through a conceptual framework that restores defensible academic evaluation via visible learner reasoning.

September 8, 2026Social Sciences & Humanities OpenOpen Access

HAICA: A framework for reasoning transparency in AI-enabled higher education assessment

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Authors

JMJawahir Che Mustapha MAMunaisyah Abdullah GKGanesh Kumar

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Overview

Conceptual analysis demonstrates a framework for reasoning transparency in higher education, indicating that defensible assessment requires evaluating human decision-making alongside AI.

Key Points

To address the destabilization of assessment by generative AI through a conceptual framework that restores defensible academic evaluation via visible learner reasoning.
Synthesized principles across constructivism, self-regulated learning, assessment for learning, human-in-the-loop governance, and socio-technical theory.
Formulated the HAICA model around three central mechanisms: Human Ownership, the Human-AI Collaborative Cycle, and Governance Controls.
Developed an implementation-informed illustration alongside explicit design principles and testable empirical propositions.
Reframes assessment challenges under generative AI from technological detection to proactive evidentiary task design.
Establishes reasoning transparency as the crucial construct necessary to preserve valid and defensible academic judgment.
Demonstrates qualitative pathways to ensure human cognitive ownership and decision-making processes remain visible, assessable, and governable.

Cite This Study

Mustapha et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd70a58e84d0ff5b458dd https://doi.org/10.1016/j.ssaho.2026.103601

View Full Paper

Ask AI

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September 8, 2026Social Sciences & Humanities OpenOpen Access

HAICA: A framework for reasoning transparency in AI-enabled higher education assessment

View Full Paper

Ask AI

Bookmark

Authors

JMJawahir Che Mustapha MAMunaisyah Abdullah GKGanesh Kumar

Discussion

Member takes

Overview

Conceptual analysis demonstrates a framework for reasoning transparency in higher education, indicating that defensible assessment requires evaluating human decision-making alongside AI.

Key Points

To address the destabilization of assessment by generative AI through a conceptual framework that restores defensible academic evaluation via visible learner reasoning.
Synthesized principles across constructivism, self-regulated learning, assessment for learning, human-in-the-loop governance, and socio-technical theory.
Formulated the HAICA model around three central mechanisms: Human Ownership, the Human-AI Collaborative Cycle, and Governance Controls.
Developed an implementation-informed illustration alongside explicit design principles and testable empirical propositions.
Reframes assessment challenges under generative AI from technological detection to proactive evidentiary task design.
Establishes reasoning transparency as the crucial construct necessary to preserve valid and defensible academic judgment.
Demonstrates qualitative pathways to ensure human cognitive ownership and decision-making processes remain visible, assessable, and governable.

Cite This Study

Mustapha et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd70a58e84d0ff5b458dd https://doi.org/10.1016/j.ssaho.2026.103601

View Full Paper

Ask AI

Bookmark