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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

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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