Self-efficacy has a significant positive effect on motivation among undergraduates using generative AI¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? SE significantly and positively predicts MOV (β = 0.78, p < .001), supporting H8. → Hui Zhao & Huijuan Gu 2026

Evidence¶

Hui Zhao & Huijuan Gu 2026¶

Hui Zhao & Huijuan Gu. (2026). Thoughtless use of generative artificial intelligence and college students’ self-directed learning: a multi-group SEM analysis of gender differences. Scientific Reports. https://doi.org/10.1038/s41598-026-54337-y

q2 · i? · associational · r1

Bootstrapped path coefficient from the PLS-SEM structural model (Table 6). The SE→MOV path was the largest positive coefficient printed, with "β = 0.78, t = 23.56, p < .001".

"Finally, SE exerted a significant positive effect on MOV (β = 0.78, t = 23.56, p < .001), thus supporting Hypothesis H8."

Discussion¶

Related Claims¶

• Learners' task-specific self-efficacy beliefs predict whether they initiate, persist through, and recover from difficulty on academic tasks. — the general claim this finding bears on, with the studies behind it
• The effects of thoughtless GenAI use on motivation, self-efficacy, and self-directed learning differ significantly by gender — related
• Self-efficacy and motivation partially mediate the negative relationship between thoughtless GenAI use and self-directed learning, including a sequential SE→MOV pathway — related
• Self-efficacy and motivation positively predict self-directed learning, with motivation the strongest direct predictor — related
• Thoughtless use of generative AI significantly and negatively predicts both self-efficacy and motivation — related
• Thoughtless use of generative AI is negatively associated with undergraduates' self-directed learning in a cross-sectional survey model (β = −0.42) — related
• Reflective AI use predicts programming self-efficacy and engagement, while PSE does not predict engagement (survey SEM) — related
• Academic self-efficacy was not significantly associated with final test performance — related
• The TUGA, motivation, and self-efficacy jointly explain 75.3% of the variance in undergraduates’ self-directed learning — related