Table 12.

Linking research clusters to identified gaps in the literature

ClusterKey focusProblem addressedContribution to study purpose
Cluster 1: Gen-AI transforming educationTeaching innovation, personalized learning, academic workflowsFragmented understanding of Gen-AI’s educational impactSynthesizes how Gen-AI reshapes pedagogy, offering clarity to educators and researchers
Cluster 2: Curriculum and pedagogical reformCurriculum design, AI-integrated assessment, educator rolesLack of practical guidance for instructional adaptationProvides examples of instructional shifts and models for AI-enhanced teaching strategies
Cluster 3: Ethics and integrity in higher educationAcademic dishonesty, AI misuse, assessment fairnessLack of ethical clarity and policy directionFrames key ethical issues and aligns with UNESCO’s AI ethics guidelines
Cluster 4: Creativity and knowledge personalizationCreativity, idea generation, personalized learningScattered insights on AI’s role in fostering innovationIntegrates psychological and pedagogical perspectives to support creative, AI-driven learning
Source(s): Table by authors

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