Secondary teachers conceptualize LLM-powered chatbots as bounded experts operating under human supervision¶

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Teachers consistently conceptualized AI systems as bounded experts operating under human supervision. → Reichert 2026

Evidence¶

Reichert 2026¶

Reichert, H., Briceno, D., Tabarsi, B., Barnes, T. (2026). Human-Centered Design of LLM-Powered Educational Chatbots: A Study with Secondary Teachers. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2026. LNCS vol 16746. Springer, Cham. https://doi.org/10.1007/978-3-032-31048-4_32

q2 · i? · qualitative · r2

Qualitative analysis of participatory design sessions in which six secondary teachers created paper prototypes and discussed LLM chatbot design; the study reports teachers consistently framed AI as "bounded experts" operating under human supervision. No effect size is reported.

"Teachers consistently conceptualized AI systems as “bounded experts” operating under human supervision."

Discussion¶

Related Claims¶

• Teachers retain ultimate control over AI systems because professional responsibility cannot be delegated — a narrower finding that bears on this claim
• Teachers sought to preserve student thinking and authorship by bounding chatbot answer-giving and maintaining teacher control over scope — a narrower finding that bears on this claim
• Lab supervision, staffing, scheduling, and sustainability are key challenges for school AI labs — related