A systematic review of AI in problem-based learning reports, as a dominant theme of its 50 studies, that AI tools support adaptive, personalized learning linked to better engagement and problem-solving¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · checked against its sources 2026-10-16 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? AI tools support adaptive and personalized learning experiences that improve learner engagement and problem-solving skills. → 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 · r2

Thematic synthesis of the 50 included studies in this systematic review; the review reports adaptive and personalized learning as its second dominant theme, with benefits "accompanied by persistent ethical concerns" noted separately.

"Second, AI tools support adaptive and personalized learning experiences that improve learner engagement and problem-solving skills."

Discussion¶

Learner Variables¶

Problem Solving — outcome: instruction changes it

Included studies suggest engagement increases when adaptive platform activities are tailored to learners' personal needs and emotional state — the general claim this finding bears on, with the studies behind it
A systematic review of 14 studies (8,305 participants) found AI-based tools enhanced comprehension, engagement, problem-solving, and critical thinking by personalizing learning experiences — possibly the same claim (merge candidate)
AI tools can enhance short-term task performance while undermining durable learning (the learning-performance paradox) — reports the opposite
The review found AI was effective for improving basic problem-solving but required teacher mediation to handle more complex mathematical tasks — related
Educators' use of AI in PBL is accompanied by persistent ethical concerns about data privacy, algorithmic bias, and educator autonomy — related
The review identifies scarcity of long-term impact assessment, limited empirical validation of integrity interventions, and missing equity-focused policy research as key research gaps — related
AI raises the ceiling on problem complexity by reducing access complexity rather than cognitive demand — a narrower finding that bears on this claim
Students reported that ChatGPT enhanced engagement, comprehension, problem-solving, and perceived relevance in Quantum Theory — a narrower finding that bears on this claim
AI-driven PBL environments enhance educator and student collaboration via real-time feedback, intelligent scaffolding, and data-informed instructional decisions — related
ChatGPT use in STEAM IBL is reported to enhance learner outcomes including motivation, critical thinking, engagement, and problem-solving — related
AI supporting SRL aims at end outcomes beyond SRL itself, most frequently improved academic performance — related
A systematic review identifies four overarching themes of factors affecting student engagement in adaptive learning platforms: system quality, information quality, learner characteristics and preferences, and affordances that mimic real-life social interactions — related

Page metadata

Field	Value
`type`	`claim`
`id`	`ai-pbl-adaptive-personalized-engagement`
`title`	`A systematic review of AI in problem-based learning reports, as a dominant theme of its 50 studies, that AI tools support adaptive, personalized learning linked to better engagement and problem-solving`
`description`	`A systematic review of AI in problem-based learning reports, as a dominant theme of its 50 studies, that AI tools support adaptive, personalized learning linked to better engagement and problem-solving`
`status`	`review`
`evidence_strength`	`moderate`
`newest_evidence`	`2026`
`source_checked`	`2026-10-16`
`generated`	by `process:wiki-ingest` on `2026-10-10`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `mohammad-aniq-amdan-2026`

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