Claims

Adaptive learning systems report academic performance gains of 15–25% and engagement increases of up to 40%

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2026 · checked against its sources 2026-10-13 (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? A systematic review of AI-driven adaptive learning systems in higher education reports academic performance gains of 15–25% and improved learner engagement of up to 40%. → Simon Baradziej 2026

Evidence

Simon Baradziej 2026

Simon Baradziej. (2026). A systematic review of the roles of agentic AI in higher education. Social Sciences & Humanities Open. https://doi.org/10.1016/j.ssaho.2026.103418

q2 · i? · review · r3

The review reports, citing Yuensook et al. (2025), a synthesis of AI-driven adaptive learning systems in higher education finding "academic per - formance gains of 15–25%" and engagement improvements of up to 40%. These are second-hand percentages, not effect sizes, and the review notes methodological limitations temper causal claims.

"Yuensook et al. (2025), in their systematic review of AI-driven adaptive learning systems in higher education, report academic per - formance gains of 15–25% and improved learner engagement of up to 40% across the studies included in their synthesis."

Discussion

Page metadata
Field Value
type claim
id adaptive-learning-gains-15-25-percent
title Adaptive learning systems report academic performance gains of 15–25% and engagement increases of up to 40%
description Adaptive learning systems report academic performance gains of 15–25% and engagement increases of up to 40%
status review
evidence_strength weak
newest_evidence 2026
source_checked 2026-10-13
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — simon-baradziej-2026

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