Most AI-motivation studies lasted less than 10 weeks, raising novelty-effect concerns and leaving long-term effects unexamined¶

Claim · All claims
Evidence · 1 study (2 entries) · review r2–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? 96 of 156 studies (61.5%) lasted less than 10 weeks, so findings may be clouded by a novelty effect. → Jiajing Li 2026 q2 i? No reviewed study employed longitudinal statistical techniques such as cross-lagged SEM, latent growth modeling, or latent transition analysis. → Jiajing Li 2026 (2)

Evidence¶

Jiajing Li 2026¶

Jiajing Li, Ronnel B. King, Ching Sing Chai, Vivian WY Lee & Ruyi Li. (2026). AI and student motivation: A scoping review. Journal of Research on Technology in Education. https://doi.org/10.1080/15391523.2026.2672515

q2 · i? · review · r3

The review's charting of study durations across the 156 included studies, ranging from 80 minutes to 11 months. It reports 61.5% lasted under 10 weeks and flags possible novelty effects.

"Notably, as most studies lasted less than 10 weeks ( n = 96; 61.5%), their findings may have been clouded by a novelty effect."

Jiajing Li 2026 (2)¶

q2 · i? · review · r2

The review's analysis of statistical approaches used in the included studies. It reports that no study employed longitudinal techniques to reveal long-term effects of AI on motivation.

"statistical techniques more suitable for longitudinal work, such as cross-lagged structural equation models, latent growth modeling, and latent transition analysis, were not employed in any of the studies to reveal the long-term longitudinal effects of AI on motivation."

Discussion¶

AI-motivation research is geographically and educationally concentrated: over half of reviewed studies were conducted in China and most in higher education — related
General academic motivation, engagement, and self-efficacy are the most studied motivational factors in AI-supported learning research — related
Only 34 of 156 AI-motivation studies explicitly named a pedagogical approach; game-based learning was the most common — related

Page metadata

Field	Value
`type`	`claim`
`id`	`ai-motivation-studies-short-duration-novelty-effect`
`title`	`Most AI-motivation studies lasted less than 10 weeks, raising novelty-effect concerns and leaving long-term effects unexamined`
`description`	`Most AI-motivation studies lasted less than 10 weeks, raising novelty-effect concerns and leaving long-term effects unexamined`
`status`	`review`
`evidence_strength`	`moderate`
`newest_evidence`	`2026`
`generated`	by `process:wiki-ingest` on `2026-10-12`
`trust`	unverified — no one has confirmed this page's content
`sources`	2 — `jiajing-li-2026`, `jiajing-li-2026-2`

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