Engineering students perceive AI chatbot benefits as strongest for relief from competence frustration, moderate for autonomy, and weakest for relatedness¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 2 of 2 entries) · not reviewed by a person

Subclaims¶

q2 i? Perceived AI chatbot benefits rank highest for competence-frustration relief, then autonomy, then relatedness. → Kevin Zhongyang Shao 2026 q2 i? The SEM explained far more variance in perceived competence (52.3%) and autonomy (37.5%) than in perceived relatedness (9.7%). → Kevin Zhongyang Shao 2026

Evidence¶

Kevin Zhongyang Shao 2026¶

Kevin Zhongyang Shao, Denise Wilson, Yale Quan, Sep Makhsous. (2026). Designing Needs- and Attention-Aware AI Learning Tools for Engineering Education: Insights from Psychological Outcomes. arXiv. https://arxiv.org/abs/2607.26338 doi:10.48550/arxiv.2607.26338

q2 · i? · associational · r2

Cross-sectional survey SEM of 206 frequent chatbot users among 335 engineering undergraduates. The structural model "explained 52.3% of the variance in perceived competence, 37.5% of the variance in perceived autonomy, and 9.7% of the variance in perceived relatedness."

"Overall, the model explained 52.3% of the variance in perceived competence, 37.5% of the variance in perceived autonomy, and 9.7% of the variance in perceived relatedness."

Kevin Zhongyang Shao 2026 (2)¶

Kevin Zhongyang Shao, Denise Wilson, Yale Quan, Sep Makhsous. (2026). Designing Needs- and Attention-Aware AI Learning Tools for Engineering Education: Insights from Psychological Outcomes. arXiv. https://arxiv.org/abs/2607.26338

q2 · i? · associational · r2

Discussion of the same cross-sectional survey; descriptive means show perceived relief from competence frustration (M = 3.02) and autonomy (M = 2.96) above perceived relatedness (M = 2.52). Students reported "the greatest perceived relief from competence frustration following AI chatbot use."

"students reported the greatest perceived relief from competence frustration following AI chatbot use, more moderate improvements in perceived satisfaction of autonomy needs, and the lowest perceived improvements in satisfaction of relatedness needs."

Discussion¶

Learner Variables¶

• Affect Regulation — outcome: instruction changes it

Related Claims¶

• Higher baseline autonomy and higher baseline competence frustration predict greater perceived relief from competence frustration after AI chatbot use, while higher baseline personal agency predicts less — related
• Inattention moderates how baseline competence frustration and baseline autonomy translate into perceived AI benefits, weakening both positive associations — related
• Students with higher baseline relatedness satisfaction perceive less additional relatedness support from AI chatbot use — related
• Baseline motivational states shape perceived AI benefits more than demographics, with female-coded gender the only significant demographic effect (lower perceived competence relief) — related
• CHAT analysis identified three Type 2 secondary contradictions whose operation through psychological need frustration explained motivational decline despite growing competence — related
• In agentic AI-supported online learning, perceived autonomy, competence, and relatedness are each positively associated with learning motivation — related
• Competence is the strongest independent psychological predictor of AI literacy performance, followed by autonomy; relatedness has no significant independent effect — related
• Managers perceive the greatest AI potential in data analytics, document automation, and quality monitoring, and the least in personalization — related
• Chatbot support systems in online learning are associated with higher learner satisfaction and engagement when perceived as useful — related
• A key divergence: SDT theorizes need thwarting as an active, independent dimension predicting unique negative outcomes, while HET focuses on positive teaching dimensions — related