Human teacher–GenAI collaboration in embodied mathematics learning calls for a complementary interaction model combining AI feedback with human metacognitive guidance¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q1
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? The article reports, citing Cosentino et al., that embodied mathematics learning with GenAI underscores the need for a complementary interaction model enriching educational process stages. → Ronnie Videla 2025
Evidence¶
Ronnie Videla 2025¶
Ronnie Videla, Simon Penny, Wendy Ross. (2025). 'If you can't dance your program, you can't write it': Challenges and Implications for AI in Education. https://doi.org/10.1145/3759257
q1 · i? · theoretical · r2
The article attributes this finding to Cosentino et al.'s study of human teachers and GenAI systems in embodied mathematics learning, describing a model combining GenAI feedback immediacy with human reflective guidance. The article prints no effect sizes for this attributed finding.
"The findings of Cosentino et al. [42] on the relationship between human teachers and GenAi systems in embodied mathematics learning underscore the need for a complementary interaction model, one that enriches various stages of the educational process by combining the immediacy of GenAi-generated feedback wit h the reflective and metacognitive guidance offered by human instructors."
Discussion¶
Related Claims¶
- Outsourcing productive struggle to AI risks cognitive debt, and reactive compliance-focused approaches are insufficient — related
- Students exercise ethical agency in GenAI use through human-AI collaboration strategies, personal ethical frameworks, strategic calibration of use, and resistance to over-reliance — related
- First-year EAP students prefer a hybrid feedback model combining AI-generated comments with instructor feedback over either source alone — related
- Excessive dependence on AI may reduce human interaction and dehumanize adult education — related
- Human–GenAI collaborative interactions show promise for supporting metacognition and sociometacognition, based on an exploratory expert case study — related
- Many current GenAI applications in STEM education conflate learning with performance and feedback, neglecting active, reflective, and embodied learning processes — a broader claim this one bears on
- Personalized learning functions as a collaborative human–AI model in which teachers and AI systems play complementary roles — related
- Students bound their reliance on AI feedback and advocate a hybrid model assigning AI broad language concerns and instructors individualized relational guidance — related
- How students and teachers want to interact with classroom AI largely depends on the teacher-student relationships that exist outside of AI use — related
- Embodied GenAI agents in mixed reality raised engagement and lowered cognitive load for 26 post-secondary learners during collaborative problem-solving — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
complementary-human-genai-interaction-model |
title |
Human teacher–GenAI collaboration in embodied mathematics learning calls for a complementary interaction model combining AI feedback with human metacognitive guidance |
description |
Human teacher–GenAI collaboration in embodied mathematics learning calls for a complementary interaction model combining AI feedback with human metacognitive guidance |
status |
review |
evidence_strength |
weak |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ronnie-videla-2025 |
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