Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge

要旨

Practice is essential for learning. However, for many interpersonal skills, there often are not enough opportunities and venues for novices to repeatedly practice. Role-playing simulations offer a promising framework to advance practice-based professional training for complex communication skills, in fields such as teaching. In this work, we introduce ELK (Eliciting Learner Knowledge), a role-playing simulation system that helps K-12 teachers develop effective questioning strategies to elicit learners' prior knowledge. We evaluate ELK with 75 pre-service teachers through a mixed-method study. We find that teachers demonstrate a modest increase in effective questioning strategies and develop sympathy towards students after using ELK for 3 rounds. We implement a supplementary activity in ELK in which users evaluate transcripts generated from past role-play sessions. We demonstrate that evaluating conversation moves is as effective for learning as role-playing, while without requiring the presence of a partner. We contribute design implications for role-play systems for communication strategy training.

著者
Xu Wang
University of Michigan, Ann Arbor, Michigan, United States
Meredith Thompson
MIT, Cambridge, Massachusetts, United States
Kexin Yang
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Dan Roy
MIT, Cambridge, Massachusetts, United States
Kenneth R. Koedinger
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Carolyn Rosé
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Justin Reich
MIT, Cambridge, Massachusetts, United States
論文URL

https://doi.org/10.1145/3449125

会議: CSCW2021

The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing

セッション: Learning and Mentoring

Papers Room A
8 件の発表
2021-10-27 22:30:00
2021-10-28 00:00:00