Claims

Four ICT-enabled learning approaches are used in empirical studies of schoolgirls' learning in Asia, with computer-assisted learning the most common

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2023 · 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? The 30 reviewed studies cluster into four ICT-enabled learning approaches: emerging technologies-enabled learning (3 studies), digital game-based learning (6), mobile-enabled learning (7), and computer-assisted learning (14), with CAL the most common. → Liang 2023

Evidence

Liang 2023

Liang, M., Lim, C. P., Park, J., & Mendoza, N. B. (2023). A review of ICT-enabled learning for schoolgirls in Asia and its impacts on education equity. Education Tech Research Dev. https://doi.org/10.1007/s11423-022-10178-w

q2 · i? · review · r2

Systematic review of 30 empirical studies identified through three-round screening of four databases, with open, axial and selective coding of each study's key ICT usage. The review reports the four approaches and their study counts, noting "CAL is the most common approach among the included studies".

"These inter-related approaches are: (1) Emerging technologies-enabled learning (3 studies); (2) Digital game-based learning (6 studies); (3) Mobile-enabled learning (7 studies); and (4) Computer-assisted learning (14 studies)."

Discussion

Page metadata
Field Value
type claim
id four-ict-approaches-schoolgirls-asia
title Four ICT-enabled learning approaches are used in empirical studies of schoolgirls' learning in Asia, with computer-assisted learning the most common
description Four ICT-enabled learning approaches are used in empirical studies of schoolgirls' learning in Asia, with computer-assisted learning the most common
status review
evidence_strength moderate
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — liang-2023

Frontmatter is the page's machine-readable record — see the Schema & Guide.