Explicit algorithmic approaches were identified in 13 of the 33 reviewed studies¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2026 · not yet checked against its sources · 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? Of the 33 articles reviewed, 13 identified explicit algorithmic approaches. → Long Zhang 2026
Evidence¶
Long Zhang 2026¶
Long Zhang, Khe Foon Hew & Gulipari Maimaiti. (2026). Enhancing self-regulated learning in online environments: challenges and opportunities for recommender system algorithms. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10618-x
q2 · i? · review · r2
Meta-synthesis of 33 empirical studies. The review reports that "13 identified explicit algorithmic approaches".
"All of the 33 articles reviewed discussed various challenges and 13 identified explicit algorithmic approaches."
Discussion¶
Related Claims¶
- Current algorithmic approaches typically address isolated problems and fail to break the recursive constraint — related
- Adaptive learning functions as the algorithmic engine that operationalizes personalized learning — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
13-of-33-studies-explicit-algorithmic-approaches |
title |
Explicit algorithmic approaches were identified in 13 of the 33 reviewed studies |
description |
Explicit algorithmic approaches were identified in 13 of the 33 reviewed studies |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — long-zhang-2026 |
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