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TeachingCoach

Product or Programme · All products and programmes
Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

TeachingCoach is an AI-based conversational coaching system developed by Isabel Molnar and colleagues to help higher-education instructors diagnose teaching challenges, develop strategies, plan next steps, and reflect through evidence-grounded multi-turn dialogue.

Components

  • TeachingCoach data-centric pipeline: rule extraction, synthetic dialogue generation, expert filtering, and fine-tuning: TeachingCoach is built through a pipeline in which experts extract pedagogical rules from authoritative education resources, GPT-4o generates teacher profiles, teaching challenges, and multi-turn synthetic dialogues, human experts filter the dialogues, and the curated data fine-tune a LLaMA-2-13B-Chat model. The article states that "experts extract 36 core instructional rules and encode them as structured system prompts," anchoring conversations in evidence-based practices. Dialogues progress through clarifying the challenge, exploring strategies, planning next steps, and reflecting. (Isabel Molnar et al. (2026))

Claims

Key Sources

  • Isabel Molnar, Peiyu Li, Si Chen, Sugana Chawla, James Lang, Ronald Metoyer, Ting Hua, Nitesh V. Chawla. (2026). TeachingCoach: A Fine-Tuned Scaffolding Chatbot for Instructional Guidance to Instructors. https://arxiv.org/abs/2603.18189
Page metadata
Field Value
type product
id teachingcoach
title TeachingCoach
description TeachingCoach is an AI-based conversational coaching system developed by Isabel Molnar and colleagues to help higher-education instructors diagnose teaching challenges, develop strategies, plan next steps, and reflect through evidence-grounded multi-turn dialogue.
status review
product_kind software
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content

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