Student-AI interaction in a multi-agent learning environment is organized into two significant engagement patterns: co-construction of knowledge and co-regulation¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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q2 i? Lag sequential analysis of student-AI dialogue identified six significant behavioral chains that reduce to two main engagement patterns, co-construction of knowledge and co-regulation, which often appear in combination. → Hao 2025
Evidence¶
Hao 2025¶
Hao, Z.; Cao, J.; Li, R.; Yu, J.; Liu, Z.; Zhang, Y. (2025). Mapping Student-AI Interaction Dynamics in Multi-Agent Learning Environments: Supporting Personalised Learning and Reducing Performance Gaps. https://osf.io/preprints/eduRxiv
q2 · i? · associational · r2
Lag sequential analysis of coded dialogue from the MAIC course (19,365 interaction entries) identified six significant behavioral chains involving AI teacher, AI peers, and human students, from which the authors derived "two main patterns: co-construction of knowledge and co-regulation".
"Based on the significant behavior transition sequences listed above, we have identified two main patterns: co-construction of knowledge and co-regulation. These two patterns may sometimes stand alone, as in (TB1 -> SB4 -> ASB2), but often they can appear in combination"
Discussion¶
Related Claims¶
- High prior knowledge students engaged more in co-regulation behaviors while low prior knowledge students relied more on question-raising and idea-confirming sequences — related
- Epistemic network analysis shows metacognitive behaviors co-occur with invitation actions in DR and DE but with human-initiated reasoning and elaboration in CI — related
- Cluster analysis of student-AI dialogue identifies three distinct collaboration profiles: Delegated Reasoning, Concerted Interpretation, and Delegated Elaboration — related
- Metacognitive regulation in PT clinical reasoning is relational and often co-constructed in interaction with the self, patient, family, professionals and peers — related
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