Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge
<jats:p>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 communica...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM)
2022
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Online Access: | https://hdl.handle.net/1721.1/144319 |
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author | Wang, Xu Thompson, Meredith Yang, Kexin Roy, Dan Koedinger, Kenneth R Rose, Carolyn P Reich, Justin |
author2 | Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing |
author_facet | Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing Wang, Xu Thompson, Meredith Yang, Kexin Roy, Dan Koedinger, Kenneth R Rose, Carolyn P Reich, Justin |
author_sort | Wang, Xu |
collection | MIT |
description | <jats:p>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 have tentative evidence that a combination of role-play and evaluating conversation moves may be more effective for learning. We contribute design implications of using role-play systems for communication strategy training.</jats:p> |
first_indexed | 2024-09-23T14:46:20Z |
format | Article |
id | mit-1721.1/144319 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T14:46:20Z |
publishDate | 2022 |
publisher | Association for Computing Machinery (ACM) |
record_format | dspace |
spelling | mit-1721.1/1443192023-04-20T19:37:15Z Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge Wang, Xu Thompson, Meredith Yang, Kexin Roy, Dan Koedinger, Kenneth R Rose, Carolyn P Reich, Justin Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing <jats:p>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 have tentative evidence that a combination of role-play and evaluating conversation moves may be more effective for learning. We contribute design implications of using role-play systems for communication strategy training.</jats:p> 2022-08-11T17:53:15Z 2022-08-11T17:53:15Z 2021 2022-08-11T17:41:11Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/144319 Wang, Xu, Thompson, Meredith, Yang, Kexin, Roy, Dan, Koedinger, Kenneth R et al. 2021. "Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge." Proceedings of the ACM on Human-Computer Interaction, 5 (CSCW1). en 10.1145/3449125 Proceedings of the ACM on Human-Computer Interaction Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Association for Computing Machinery (ACM) ACM |
spellingShingle | Wang, Xu Thompson, Meredith Yang, Kexin Roy, Dan Koedinger, Kenneth R Rose, Carolyn P Reich, Justin Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge |
title | Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge |
title_full | Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge |
title_fullStr | Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge |
title_full_unstemmed | Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge |
title_short | Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge |
title_sort | practice based teacher questioning strategy training with elk a role playing simulation for eliciting learner knowledge |
url | https://hdl.handle.net/1721.1/144319 |
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