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:


Theoretical Foundation

The concept of boundary-work in this research draws from:

  1. Gieryn's (1983) boundary-work in science studies - How actors demarcate legitimate from illegitimate knowledge
  2. Human-AI collaboration literature - Particularly around maintaining "human in the loop" principles
  3. 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:


Connection to Other Concepts


Key Quotes from Data

[Add relevant quotes from student reflections showing boundary-work]


Implications

Strong boundary-work practices indicate:



Tags

#concept #boundary-work #AI-literacy #agency #ethics