AI-featured methods significantly increased motivation across all four ARCS categories for computational problem-solving activities¶
Claim · All claims
Evidence · 1 study · causalr1·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? Participants' motivation was significantly higher in all Attention, Relevance, Confidence, and Satisfaction categories when using AI-featured methods for solving computational problems. → Jung Sun Sung · Wenhao David Huang 2026
Evidence¶
Jung Sun Sung · Wenhao David Huang 2026¶
Jung Sun Sung · Wenhao David Huang. (2026). Digital learning innovation: engineering students’ learning motivation for AI scaffolding. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10576-w
q3 · i? · causal · r1
Paired t-test comparing post-survey motivational means between conventional (Activity #1) and AI-featured (Activity #1.1) computational problem-solving activities among 103 engineering students. All four ARCS categories showed significantly increased motivation (p < .001).
"All four categories show significantly increased participants’ motivation (p < .001) when they use AI-featured methods, which implies that AI-featured methods had a substantial impact on various aspects of participants learning motivation."
Discussion¶
Related Claims¶
- AI-featured methods significantly increased motivation only in Attention and Confidence categories for essay-writing activities — related
- Lack of active involvement in problem-solving decreased participants' satisfaction with AI-generated essays — related
- Instruction should present the learning task as engaging and meaningful and promote positive expectations of success, because effort requires that learners value the task and believe they can succeed — a broader claim this one bears on
- ARPS scores are positively and significantly correlated with all four RIMMS motivation dimensions — related
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