A four-cluster solution is optimal for segmenting higher education users' GenAI chatbot adoption perceptions¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Dendrogram and silhouette analyses support k = 4 as a balanced, theoretically justifiable number of adoption personas. → Afef Saihi and Vian Ahmed 2026

Evidence¶

Afef Saihi and Vian Ahmed 2026¶

Afef Saihi and Vian Ahmed. (2026). Uncovering adoption personas for generative AI in higher education: a clustering-based segmentation approach. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00583-z

q2 · i? · associational · r2

Numerical clustering analysis of the standardized 13-variable dataset. The silhouette coefficient was computed for k from 2 to 10; the highest score occurred at k = 2, but the authors report that "k = 4 emerges as a strong contender, displaying a visible 'elbow'" and selected it for interpretability.

"This combination of dendrogram and silhouette-based evidence supports k = 4 as a balanced and theoretically justifiable solution. Accordingly, k = 4 was selected for the final clustering analysis."

Discussion¶

Related Claims¶

• Demographic and contextual variables meaningfully differentiate the four GenAI adoption personas — a narrower finding that bears on this claim
• Four distinct GenAI chatbot adoption personas emerge: Cautious Achievers, Skeptical Utilitarians, Disengaged Doubters, and Engaged Enthusiasts — possibly the same claim (merge candidate)
• Exploratory K-means clustering identifies four heterogeneous student AI-user profiles differing in experience, competence, usefulness, trust, and control, but the solution's optimality and stability are not established — related
• Cluster analysis identifies three stable learner profiles: Engaged and Literate, Uncritical Reliant, and Skeptical Minimal users — related
• Cluster analysis identifies four tentative moral response profiles: Comfortable Adopters, Guilty Non-Users, Cautious Users, and Morally Distressed Avoiders — related