Engage teachers in participatory design with low-fidelity paper prototypes to surface LLM chatbot design considerations¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The study's method is an implementable strategy: engage teachers as domain experts in participatory design of LLM-powered tools. The authors "engaged six secondary teachers in creating low-fidelity paper prototypes and discussing design considerations for LLM-powered chatbots". Low-fidelity prototyping keeps the focus on authority distribution, safety, and supervision rather than technical implementation, and the article states participatory design methodologies can surface practical solutions to abstract AI deployment challenges.

Design Implications¶

Context¶

Requirements¶

• Teachers with domain expertise must be recruited as design participants

Constraints¶

• Demonstrated with six secondary teachers using paper prototypes

Target Learners¶

• secondary school students

Target Learning Goals¶

• design of safe, teacher-supervised AI chatbots that support student learning

Related Strategies¶

• Youth Participatory Action Research (YPAR)

Examples¶

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Key Sources¶

• 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