Claims

An AR application produced smaller test-score gains than cross-section study and higher extraneous cognitive load (Henssen et al.)

Claim · All claims
Evidence · 1 study · review r3 · q3
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.

q3 i? In a randomised study of 31 students, the cross-section group improved test scores significantly more than the GreyMapp-AR group, and the cross-section group reported greater relevance and extraneous cognitive load; motivation did not differ. → K Anniesmitha 2026

Evidence

K Anniesmitha 2026

K Anniesmitha, Rao K G Mohandas, Aithal P Ashwini, Bandekar Nikita N., Mandal Tatiyana, George Bincy M. (2026). Effectiveness of technology-enhanced learning in neuroanatomy education among health professionals - a systematic review. BMC Medical Education. https://doi.org/10.1186/s12909-026-09764-w

q3 · i? · review · r3

Randomised study of 31 medical and biomedical students comparing an AR app (GreyMapp-AR, n = 15) with brain cross-section study (n = 16). The cross-section group "improved their test scores much more (P = 0.035)"; the review codes this as decreased learning with AR.

"Compared with the students with GreyMapp-AR, the students who worked with cross-sections (n = 16) improved their test scores much more (P = 0.035) (n = 15)."

Discussion

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