Boundary-work
Definition
Boundary-work refers to the active process through which students negotiate, define, and maintain the boundaries between human and AI contributions in collaborative knowledge construction. It encompasses the decisions students make about:
- What tasks to delegate to AI vs. complete themselves
- Where to draw lines of authority and responsibility
- How to integrate, modify, or reject AI outputs
- When to intervene in or override AI suggestions
Theoretical Foundation
The concept of boundary-work in this research draws from:
- Gieryn's (1983) boundary-work in science studies - How actors demarcate legitimate from illegitimate knowledge
- Human-AI collaboration literature - Particularly around maintaining "human in the loop" principles
- Mollick & Mollick (2023) - The imperative that students must remain the human in the loop and actively oversee AI outputs
Evidence of Boundary-work in This Study
Boundary-work manifests in observable student actions:
Types of Boundary-work Actions
| Action | Description | Evidence of |
|---|---|---|
| Restriction | Limiting what the AI can do through prompt constraints | High boundary awareness |
| Correction | Identifying and fixing AI errors or bias | Critical evaluation |
| Refusal | Rejecting AI output entirely | Strong epistemic stance |
| Modification | Transforming AI text before use | Active authorship |
| Attribution | Explicitly marking AI vs. human contributions | Ethical transparency |
Relationship to Framework Components
Boundary-work appears throughout the analytic framework:
- Co-Constructing AI Boundaries Framework Component - Inputs - Boundaries set through source curation
- Co-Constructing AI Boundaries Framework Component - Prompts - Boundaries enacted through prompt constraints
- Co-Constructing AI Boundaries Framework Component - Outputs - Boundaries triggered by output quality assessment
- Co-Constructing AI Boundaries Framework Component - Integration - Boundaries made visible in modification/rejection
- Co-Constructing AI Boundaries Framework Component - Reflection - Boundaries articulated through metacognition
Connection to Other Concepts
- Agency - Boundary-work is an expression of student agency
- Epistemic Stance - The boundaries students draw reveal their stance on knowledge authority
Key Quotes from Data
[Add relevant quotes from student reflections showing boundary-work]
Implications
Strong boundary-work practices indicate:
- Critical engagement with AI tools
- Maintenance of intellectual responsibility
- Ethical awareness of AI limitations
- Resistance to automation bias
Related Notes
- Analytic Framework for AI Human Meaning-Making Practices
- How learners should engage Large Language Models framework
- Tracing the AI-Human Conversation Framework