Claims

Perceived usefulness, rather than perceived ease of use, was the primary predictor of LLM adoption across TAM-based studies

Claim · All claims
Evidence · 1 study · review r3 · q2
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.

q2 i? Across seven studies using Technology Acceptance Model scales, perceived usefulness consistently emerged as the primary predictor of LLM adoption among medical students. → Bodke Parag 2026

Evidence

Bodke Parag 2026

Bodke Parag, Jumle Rahul. (2026). Large language models in undergraduate medical education: a systematic review of examination performance, knowledge acquisition, and learner perceptions. BMC Medical Education. https://doi.org/10.1186/s12909-026-09999-7

q2 · i? · review · r3

Synthesis of the seven TAM-based perception studies reported in the review's Discussion. The review attributes the perceived-usefulness finding to its included studies and links it to how technology integration programmes should be designed.

"The Technology Acceptance Model framework applied in seven studies consistently demonstrated that perceived usefulness, rather than perceived ease of use, was the primary predictor of LLM adoption"

Discussion

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generated by process:wiki-ingest on 2026-10-31
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