Claims

Using AR did not produce a statistically significant difference in primary students' academic performance

Claim · All claims
Evidence · 1 study · causal r? · q3
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.

q3 i? In the quasi-experiment, there was no statistically significant difference in students' academic performance when AR was used. → Wen 2023

Evidence

Wen 2023

Wen, Y., Wu, L., He, S., Ng, N. H.-E., Teo, B. C., Looi, C. K., & Cai, Y. (2023). Integrating augmented reality into inquiry-based learning approach in primary science classrooms. Education Tech Research Dev, 71, 1631–1651. https://doi.org/10.1007/s11423-023-10235-y

q3 · i? · causal · r?

Quasi-experimental study with 117 primary 5 students across three conditions (AR and QIMS; QIMS; Non-AR and Non-QIMS). The article reports "no statistically significant difference in students’ academic performance when AR was used"; equivalence was not tested.

"The quantitative results showed that although there was no statistically significant difference in students’ academic performance when AR was used, students’ self-directed learning and creative thinking skills increased significantly after partaking in the QIMS inquiry-based lessons."

Discussion

Page metadata
Field Value
type claim
id ar-no-significant-academic-performance-difference
title Using AR did not produce a statistically significant difference in primary students' academic performance
description Using AR did not produce a statistically significant difference in primary students' academic performance
status review
evidence_strength moderate
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — wen-2023

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