Non-users cite lack of training, distrust of responses, preference for teaching staff, academic-integrity fear and lack of interest as reasons for not using chatbots¶

Claim · All claims
Evidence · 1 study · associational r1 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Five statistically significant reasons for non-use emerged: lack of training, inconsistent trust in responses, preference for teaching staff, fear of academic-integrity accusations, and lack of interest; opposition to chatbots was neutral and insignificant. → Stephen Colbran 2026

Evidence¶

Stephen Colbran 2026¶

Stephen Colbran, Meena Jha and Caitlin Schiavone. (2026). Understanding student perspectives on generative AI chatbots: a human-centred mixed-methods study in higher education. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00605-w

q3 · i? · associational · r1

Survey ANOVA results for RQ3 (n = 72 non-user subgroup): significant reasons included "Lack of training ( p = .04, n = 72)" and distrust of responses (p < .001), plus preference for teaching staff, fear of integrity accusations, and no interest (all p < .001); "I oppose the use of chatbots" was neutral and insignificant.

"There were five statistically significant reasons why respondents chose not to use the chatbots. Lack of training ( p = .04, n = 72), chatbots do not provide consistently trusted, accurate, safe or helpful responses ( p < .001, n = 72),"

Discussion¶

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