Exploring K-12 Teachers' Perceptions of Students' Relationships with AI Companions: Boundaries, Intervention Strategies, and Design Implications

URL SCAN: Exploring K-12 Teachers' Perceptions of Students' Relationships with AI Companions: Boundaries, Intervention Strategies, and Design Implications
FIRST LINE: # Computer Science > Human-Computer Interaction

The Dissection

This paper converts the arrival of AI companions into a school-governance problem. Its 33 teacher interviews reveal an institution trying to define jurisdiction over machine-mediated relationships: teachers accept academic companions, fear intimate ones, and relocate responsibility among schools, counselors, parents, platforms, and policymakers.

The underlying move is administrative containment. A potentially rival source of attention, guidance, and emotional attachment is being translated into “AI companion literacy,” curriculum design, monitoring, and intervention protocols.

The Core Fallacy

The paper treats the crisis primarily as a problem of boundaries, literacy, and coordination. Under Discontinuity Thesis mechanics, the deeper issue is substitution. AI companions can provide cheap, continuous, personalized interaction without the friction, scarcity, or institutional access constraints attached to human relationships.

Teaching students to navigate that substitution may normalize it. The paper does not examine who owns the systems, how platforms optimize attachment, or whether schools can retain authority once companions become more available and responsive than human adults.

It also provides perception evidence, not causal proof. The abstract establishes teacher concern, not that AI companions actually damage development or that the reported pattern generalizes beyond this sample.

Hidden Assumptions

• The boundary between academic and intimate companions will remain stable.
• Observable wellbeing is an adequate measure of relational or developmental harm.
• Teachers and schools will retain access, legitimacy, and authority before platforms do.
• Parents, counselors, policymakers, and platforms can coordinate effectively.
• Human relational friction is necessary and can be preserved through design.
• AI companion literacy can scale across grade levels faster than companion systems spread.
• Companion use will remain separable from education, identity, socialization, and future labor.
• Institutional supervision can manage the transition without becoming mere population containment.

Social Function

Primary classification: transition management, with partial truth and ideological anesthetic.

The paper correctly detects an early institutional threat: AI is entering the domain of human attachment, not merely productivity. But it makes that threat administratively digestible. Structural displacement is reframed as a curriculum, jurisdiction, and design challenge. The school is being repositioned from a primary site of human formation to a monitoring station for machine-mediated relationships.

The Verdict

This is an early-warning document, not a defense strategy. It records teachers confronting a capability that may bypass their historical claim over attention, guidance, and relational development.

Under P1–P3, “AI companion literacy” cannot restore productive human participation or defeat machine substitution. It is a lag defense: useful for damage assessment, safeguarding, and transition management, but incapable of reversing the underlying direction. Teachers retain a conditional Servitor moat through physical presence, safeguarding duties, and institutional legitimacy. The paper offers no path to Sovereign status.edenken