The ICAP Framework was found effective for assessing potential for active learning in an asynchronous online environment and identifying where design improvements are needed¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2025 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2028: tool and model accuracy changes quickly
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? The authors found the ICAP Framework very effective as a codified, objective way of assessing the level of active learning required by activities in the audited asynchronous online course. → Pollard 2025
Evidence¶
Pollard 2025¶
Pollard, V., Armatas, C., & Pepe, A. (2025). Feedback is integral: Using a revised ICAP Framework to achieve active learning in an asynchronous online course. Online Learning, 29(3), 236-253. https://doi.org/10.24059/olj.v29i3.4555
q2 · i? · design · r2
Authors' interpretation from the case-study audit addressing their first research question. They report the Framework "provided a codified and objective way of assessing the level of active learning" in the audited course; no effect size is reported.
"We found the Framework to be very effective in this regard as it provided a codified and objective way of assessing the level of active learning required for the activities in the audited course."
Studies bearing on this claim¶
Can a course's activities and learners' talk be coded reliably into ICAP modes, so a designer can audit a design? This table gathers the studies behind this claim and the 3 narrower claims that bear on it: 3 distinct studies (2 design, 1 associational), q2, 0 of 3 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.
| Study | Design | Effect as recorded | Bears on this claim through |
|---|---|---|---|
| Pollard 2025 | q2 · design · r2 | i? | this claim; Engagement modes were unevenly distributed across units, with some units rated Interactive (supports) |
| Lan Anh Do 2026 | q2 · design · r3 | i? | Human and agent framework revisions concentrate on the mid-level engagement categories (Le (qualifies) |
| Chen 2026 | q2 · associational · r2 | i? | Learning-oriented engagement is recurrent but selective in everyday human–LLM conversation (supports) |
Discussion¶
Related Claims¶
- Engagement modes were unevenly distributed across units, with some units rated Interactive and others entirely Passive — related
- The authors argue formative feedback is critical for making student behaviour 'seen' in asynchronous online learning where the teacher is not physically present — related
- Included AI literacy activities spanned all four ICAP modes, with passive modes in nine studies, active in five, constructive in seven, and interactive in eight — related
- Prior frameworks (SOI, ICAP) explain GLA benefits at the category level but cannot specify how distinct GLAs uniquely contribute to sense-making — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
icap-effective-audit-tool-asynchronous-online |
title |
The ICAP Framework was found effective for assessing potential for active learning in an asynchronous online environment and identifying where design improvements are needed |
description |
The ICAP Framework was found effective for assessing potential for active learning in an asynchronous online environment and identifying where design improvements are needed |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
source_checked |
2026-10-20 |
recheck_by |
2028 |
generated |
by process:wiki-ingest on 2026-09-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — pollard-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.