Positive and negative AI perceptions are strongly negatively co-related within individuals (τ = −0.819), refuting an ambivalent-attitude reading of aggregate frequencies¶

Claim · All claims
Evidence · 1 study · associational r1 · q2 · i3 large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i3 Kendall's τ between Positive Perception and Negative Perception/Risk is −0.819 (p < .001), indicating evaluative bipolarity: activation of one is associated with suppression of the other. → İsmail Şan and Hanife Gülhan Orhan Karsak 2026

Evidence¶

İsmail Şan and Hanife Gülhan Orhan Karsak 2026¶

İsmail Şan and Hanife Gülhan Orhan Karsak. (2026). Knowing its name, not its nature: word association mapping of student AI cognition and evidence-based micro-credential design in Turkish higher education. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00621-w

q2 · i3 · associational · r1

Kendall's τ relatedness analysis over all 55 category pairs (N = 436, Benjamini-Hochberg FDR correction) found "the strong negative coefficient between Positive Perception (J) and Negative Perception / Risk (K)", with the printed effect size τ = −0.819 (p < .001); by the article's thresholds |τ| ≥ 0.50 is Strong, and this large association supports impact 3.

"The analytically dominant finding is the strong negative coefficient between Positive Perception (J) and Negative Perception / Risk (K): τ = − 0.819 (p < .001)."

Discussion¶

Related Claims¶

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