Teachers reported using AI within planning-monitoring-evaluation-revision cycles interpreted as teacher-level self-regulation¶

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

Subclaims¶

q2 i? Teachers reported using AI to analyze lessons, generate reflective questions, identify difficulties, and revise subsequent plans, a recurring cycle the authors interpret as teacher-level self-regulation concerning professional learning, not measured student self-regulation. → Hochberg N and Waitzman R 2026

Evidence¶

Hochberg N and Waitzman R 2026¶

Hochberg N and Waitzman R (2026). From information providers to learning designers: heutagogical teaching practices in AI-enhanced education. Front. Educ. 11:1905833. https://doi.org/10.3389/feduc.2026.1905833

q2 · i? · qualitative · r2

Qualitative strand findings on self-regulated teaching and reflection from teacher reflections and artifacts in the professional development study. One participant explained, "After lessons, I began asking AI reflective questions about student engagement and learning difficulties." The recurring planning, monitoring, evaluation, and revision cycle was interpreted as teacher-level self-regulation.

"After lessons, I began asking AI reflective questions about student engagement and learning difficulties. It helped me think more critically about my teaching."

Discussion¶

Related Claims¶

• Reading AI-generated scaffolds prompted teachers to reflect on and revise their classroom practices, and shifted initial AI hesitancy toward wanting students to use the tool — related
• Qualitatively, Socratic prompts supported reflective monitoring while directive feedback was associated with overload and resistance — related
• Teachers participating in learning studies develop an increased ability to discern critical features of a learning object and shift from general to content-specific ways of offering the object of learning — related