Individual computer vision constructs showed notable mean increases and cluster shifts, including sensing the surroundings (26% increase, cluster 4 to 2) and able to detect objects (18% increase, cluster 3 to 1)¶

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

Subclaims¶

q2 i? Specific computer vision constructs showed large mean increases and upward cluster shifts post-PD: sensing the surroundings (+26%, cluster 4 to 2), able to detect objects (+18%), able to recognize unique features (+29%), and interpreting what is shown (+19%, all cluster 3 to 1). → Kurz 2026

Evidence¶

Kurz 2026¶

Kurz, T. L., Jayasuriya, S., Swisher, K., Mativo, J., Pidaparti, R., & Robinson, D. T. (2026). Computer vision versus human vision: analyzing middle school teachers' construct restructuring following computer vision professional development. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10594-2

q2 · i? · causal · r1

Discussion-section analysis of individual construct trajectories in the repertory grid data reports percentage mean increases and cluster movements for four computer vision constructs, e.g., "a 26% mean increase, with an increase from cluster 4 to cluster 2" for sensing the surroundings. These shifts indicate increased perceived descriptiveness of specific computer vision features.

"Construct 15, "computer vison can be described as…sensing the surroundings," had a 26% mean increase, with an increase from cluster 4 to cluster 2. The shift likely indicates more awareness regarding how computer vision can sense surroundings. Construct 2, "…able to detect objects," (18% mean increase), Construct 3, "…able to recognize unique features," (29% mean increase), and Construct 12, "…interpreting what is shown," (19% mean increase) all shifted from cluster 3 to cluster 1."

Discussion¶

Related Claims¶

• All computer vision cluster means increased post-PD and the most descriptive cluster became more detailed, indicating teachers viewed computer vision constructs as more descriptive after PD — a broader claim this one bears on
• After a two-to-three-week computer vision professional development program, 13 of 18 (72%) of middle school teachers' computer vision constructs shifted clusters, which the authors read as restructured perceptions (pre/post, no comparison group) — a broader claim this one bears on
• After PD, teachers rated computer vision as more similar to human vision, with computer vision cluster 1 matching human vision cluster 1 on seven constructs post-PD versus one pre-PD — related
• Teachers' perceptions of human vision remained largely stable following computer vision PD, with only one construct (6%, n = 1) shifting clusters — related
• Teachers' construct for computer vision 'sensing the surroundings' was initially viewed as not descriptive of computer vision but became more descriptive after PD — a narrower finding that bears on this claim