mlsanityData to 7 Oct 2026

A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education

arXiv 2402.17456 ↗First posted 27 Feb 2024cs.HC cs.AI cs.CLcited by 10

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Abstract (arXiv)

Cyberbullying harms teenagers' mental health, and teaching them upstanding intervention is crucial. Wizard-of-Oz studies show chatbots can scale up personalized and interactive cyberbullying education, but implementing such chatbots is a challenging and delicate task. We created a no-code chatbot design tool for K-12 teachers. Using large language models and prompt chaining, our tool allows teachers to prototype bespoke dialogue flows and chatbot utterances. In offering this tool, we explore teachers' distinctive needs when designing chatbots to assist their teaching, and how chatbot design tools might better support them. Our findings reveal that teachers welcome the tool enthusiastically. Moreover, they see themselves as playwrights guiding both the students' and the chatbot's behaviors, while allowing for some improvisation. Their goal is to enable students to rehearse both desirable and undesirable reactions to cyberbullying in a safe environment. We discuss the design opportunities LLM-Chains offer for empowering teachers and the research opportunities this work opens up.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 15 of its 82 references that are in the map. First posted on arXiv 27 Feb 2024.

Builds on

15 of 82 references.

References · 15

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
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3 more
  1. 2023WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Modelscited by 42
  2. 2020ALONE: A Dataset for Toxic Behavior among Adolescents on Twittercited by 17
  3. 2022Controlled Language Generation for Language Learning Itemscited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 4; 2026: 3.

10 papers.