Three-condition within-subjects teacher study of AI-assisted learning design¶
Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 causal),q3· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
A within-subjects study in which thirteen higher education teachers designed learning activities under three conditions: without AI, with AI access, and with AI after training on effective AI interaction strategies. Design artifacts were evaluated for attainment of predefined pedagogical goals and complemented with measures of cognitive effort, training evaluation, and adoption intentions.
Design Implications¶
Context¶
Requirements¶
- Design artifacts evaluated against predefined pedagogical goals
- Cognitive effort, training evaluation, and adoption-intention measures
Constraints¶
- Small sample of thirteen higher education teachers
- Findings reported at study level for this population and task
Target Learners¶
- higher education teachers
Learning Goals¶
- learning design quality
- teacher cognitive experience with AI tools
Claims¶
- Ai Access Improves Learning Design Quality [+M]
- Ai Access Lowers Cognitive Effort Learning Design [+M]
Related Designs¶
Examples¶
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Key Sources¶
- Pishtari, G., Gnadlinger, F., Ley, T. (2027). When Teachers Use AI Chatbots and Are Trained for It: Impact on Learning Design Quality and Cognitive Effort. In: Blanchard, E.G., Chen, G., Chi, M., Isotani, S. (eds) Artificial Intelligence in Education. AIED 2026. Lecture Notes in Computer Science, vol 16585. Springer, Cham. https://doi.org/10.1007/978-3-032-29770-9_28
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
three-condition-ai-learning-design-teacher-study |
title |
Three-condition within-subjects teacher study of AI-assisted learning design |
description |
A within-subjects study in which thirteen higher education teachers designed learning activities under three conditions: without AI, with AI access, and with AI after training on effective AI interaction strategies. |
status |
review |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — pishtari-2027 |
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