dc.contributor.author | Wang, Xu | |
dc.contributor.author | Thompson, Meredith | |
dc.contributor.author | Yang, Kexin | |
dc.contributor.author | Roy, Dan | |
dc.contributor.author | Koedinger, Kenneth R | |
dc.contributor.author | Rose, Carolyn P | |
dc.contributor.author | Reich, Justin | |
dc.date.accessioned | 2022-08-11T17:53:15Z | |
dc.date.available | 2022-08-11T17:53:15Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/144319 | |
dc.description.abstract | <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> | en_US |
dc.language.iso | en | |
dc.publisher | Association for Computing Machinery (ACM) | en_US |
dc.relation.isversionof | 10.1145/3449125 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | ACM | en_US |
dc.title | Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge | en_US |
dc.type | Article | en_US |
dc.identifier.citation | 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). | |
dc.contributor.department | Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing | |
dc.relation.journal | Proceedings of the ACM on Human-Computer Interaction | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2022-08-11T17:41:11Z | |
dspace.orderedauthors | Wang, X; Thompson, M; Yang, K; Roy, D; Koedinger, KR; Rose, CP; Reich, J | en_US |
dspace.date.submission | 2022-08-11T17:41:14Z | |
mit.journal.volume | 5 | en_US |
mit.journal.issue | CSCW1 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |