AI-based assessment practices within PBL contexts remain underdeveloped, with limited empirical evidence on automated feedback, formative assessment, and learning analytics¶

Claim · All claims
Evidence · 1 study · review r? · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? AI-based assessment practices within PBL contexts remain underdeveloped, indicating a lack of robust empirical evidence on automated feedback, formative assessment, and learning analytics integration. → MOHAMMAD ANIQ AMDAN 2026

Evidence¶

MOHAMMAD ANIQ AMDAN 2026¶

MOHAMMAD ANIQ AMDAN, AMDAN ASIM, NUR FIRZANA ROSMAN, NALDO JANIUS, FAIZUL HAFIZZIE DASUKI, NICHOLAS KAMARAU JOHNNY. (2026). A SYSTEMATIC REVIEW OF EDUCATORS’ ENGAGEMENT WITH AI IN PROBLEM-BASED LEARNING. Quantum Journal of Social Sciences and Humanities, 7(1), 1-14. https://doi.org/10.55197/qjssh.v7i1.787

q2 · i? · review · r?

The review's third dominant theme, from thematic analysis of the 50 included studies: it reports a research gap in AI-based assessment within PBL, described as "a lack of robust empirical evidence".

"Third, AI-based assessment practices within PBL contexts remain underdeveloped, indicating a lack of robust empirical evidence on automated feedback, formative assessment, and learning analytics integration."

Discussion¶

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