In teacher-AI learning task design studies, GenAI tools are predominantly used for lesson planning, prompt generation, and creative ideation, while traditional AI tools are commonly used for designing analytics and feedback¶

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

Subclaims¶

q2 i? Across 28 reviewed studies, GenAI tools predominantly support lesson planning, prompt generation, and creative ideation, while traditional AI tools are commonly used for designing analytics and feedback design. → Zongran Wang 2026

Evidence¶

Zongran Wang 2026¶

Zongran Wang, Liu Mingzhuo & A.Y.M. Atiquil Islam. (2026). Reimagining teacher-AI co-design in learning task design: trends and perspectives. HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS. https://doi.org/10.1057/s41599-026-06981-y

q2 · i? · review · r2

Thematic synthesis of 28 empirical studies (2015-2025) on teacher-AI co-design of learning tasks. The review's thematic coding found "GenAI tools are predominantly employed to support lesson planning, prompt generation, and creative ideation" with traditional AI used for analytics and feedback design.

"Thematic coding reveals that GenAI tools are predominantly employed to support lesson planning, prompt generation, and creative ideation, and traditional AI tools are commonly used for designing analytics and for feedback design."

Discussion¶

Related Claims¶

• The most common purpose of AI in instructional design is enhancing or assisting the design process itself (22 of 28 studies, 78.5%) — possibly the same claim (merge candidate)
• Educators use AI tools mainly for personalized learning and language support and frequently use generative AI for lesson planning — related
• Teachers find ChatGPT a creative, fast, iterative brainstorming partner that adds specific numbers and details when posing math questions from photos — related
• Teachers' tool preferences are stage-dependent, with pre-gen valued for ideation, mid-gen for structuring, post-gen for finalization, motivating hybrid workflows — related
• A bespoke GenAI image workflow most robustly expanded architecture students' creative search space, while less uniformly supporting refinement of final design decisions — related
• Students rated the flipped-learning component highest and the GenAI module lower, with GenAI rated stronger for ideation than for time saving or direct output use — related
• Teachers adopted three distinct methods for AI-assisted lesson planning, with most (60%) preferring to outline a framework first and then use ChatGPT to refine it — a narrower finding that bears on this claim
• Students found AI effective for ideation and formatting but unreliable for practical experimental details — related
• Trained teachers position AI as supportive across instructional stages: planning, lesson introduction, implementation, assessment and feedback, and out-of-class learning — related
• ChatGPT was the most widely adopted AI platform in undergraduate higher education studies, with applications clustering around assessment automation and personalized learning support — related
• Teachers authoring student-AI dialogue prompts predominantly write highly specific tasks targeting higher-order thinking (92% at DOK 2–3) — related