Qualitative themes: efficiency and peer influence drive AI use, while confidence and rule ambiguity shape students' perceptions of dependence¶

Claim · All claims
Evidence · 1 study · qualitative r3 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? Thematic analysis of interviews and open-ended responses yielded two motivation themes (efficiency, peer influence) and two dependence-perception themes (confidence, rule ambiguity). → Liu L 2026

Evidence¶

Liu L 2026¶

Liu L, Zhuang M and Wang J (2026). Are students dependent on AI in writing courses? Analyzing factors influencing dependence on generative AI through the I-PACE model. Front. Psychol. 17:1905037. https://doi.org/10.3389/fpsyg.2026.1905037

q1 · i? · qualitative · r3

Semi-structured interviews with eight purposively selected respondents, each lasting approximately 30 minutes, were transcribed and analyzed via thematic analysis with independent open coding by two researchers; word-frequency analysis of open-ended responses also flagged AI-forged data as the biggest perceived flaw. No effect sizes apply to this qualitative finding.

"Under the category of generative AI usage motivation, two themes were revealed: efficiency and peer influence."

Discussion¶

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