Claims

Value-added studies combining IVR with generative learning strategies (learning-by-teaching, enactment) found particular benefits, suggesting theoretically driven design elements maximize the medium's affordances

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q2
Currency · newest study 2024 · 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? De Lorenzis et al. (2023) and Makransky et al. (2021) both found particular benefits for IVR combined with generative learning strategies. → Jongbloed 2024

Evidence

Jongbloed 2024

Jongbloed, J., Chaker, R., & Lavoué, E. (2024). Immersive procedural training in virtual reality: A systematic literature review. Computers & Education, 221, 105124. https://doi.org/10.1016/j.compedu.2024.105124

q2 · i? · quant-synthesis · r2

The review attributes this to two value-added studies it describes: De Lorenzis et al. (2023) with learning-by-teaching and Makransky et al. (2021) with enactment using physical props, both based on generative learning strategies.

"Both found particular benefits for IVR combined with these GLS, showing that the inclusion of theoretically driven design elements can maximize technological affordances."

Discussion

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