The Integration and Co-Creation of Cognition and Regulation:Exploring Processes and Patterns in Human-AI Interactions Facilitated by Generative Artificial Intelligence
Human-AI Interaction(HAII)represents a novel paradigm of human-computer relationships in the artificial intelligence era,necessitating a clear understanding of its dialogic features,processes,and educational implications.This study focuses on the processes and patterns of collaborative writing dialogues between humans and AI,using epistemic network analysis to reveal the dialogue behaviors and learning mechanisms in HAII.By encoding the HAII discourse text of students in a natural state,the characteristics of learners at different writing dialogue stages and different writing levels are analyzed,different dialogue types are divided,and four HAII dialogue patterns are identified,namely,the Passive Reception type,the Active Searching type,the Shared Regulation Collaboration type,and the Integrative Critical Creation type.These patterns highlight the growing depth of the human-AI relationship and the progressive stages of knowledge transformation and creation.This study advocates for an aspirational model of symbiotic learning dialogue in HAII,which can promote the active decision-making and literacy development of learners through human-AI shared regulation of collaborative learning and participation of higher-order thinking.It calls for future research to expand the exploration of educational scenarios involving HAII,with the aim of fostering a mutually beneficial progression between dialogue education and HAII on both theoretical and practical levels.
human-AI interactiondialogic educationself-regulation and shared regulationargumentative writing
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