Abstract
Within the scholarly field of academically productive classroom dialogue, several elusive, yet rich and potent discourse moves have received special attention. However, their rarity and complexity also poses significant challenges to meeting interrater reliability thresholds, and they are often omitted from quantitative research efforts. We propose a different approach for coding that circumvents these issues, called DECCA. In this presentation, we showcase this methodology by focusing on teacher revoice. We demonstrate how it is possible to deconstruct this complex phenomenon into smaller and simpler elements. We then code each turn in the corpus for the existence or absence of each element (which we term Dialogue Elements, DEs). Adding a post-coding, pre-analysis stage allows us to extract turns which contain the specific combination of DEs relevant for revoice and distinguish it from similar teacher dialogue facilitation moves. Theoretical and practical implications are discussed.
Original language | English |
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Title of host publication | International Collaboration toward Educational Innovation for All |
Subtitle of host publication | Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022 |
Editors | Clark Chinn, Edna Tan, Carol Chan, Yael Kali |
Publisher | International Society of the Learning Sciences (ISLS) |
Pages | 1265-1268 |
Number of pages | 4 |
ISBN (Electronic) | 9781737330653 |
State | Published - 2022 |
Event | 16th International Conference of the Learning Sciences, ICLS 2022 - Virtual, Online, Japan Duration: 6 Jun 2022 → 10 Jun 2022 |
Publication series
Name | Proceedings of International Conference of the Learning Sciences, ICLS |
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ISSN (Print) | 1814-9316 |
Conference
Conference | 16th International Conference of the Learning Sciences, ICLS 2022 |
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Country/Territory | Japan |
City | Virtual, Online |
Period | 6/06/22 → 10/06/22 |
Bibliographical note
Publisher Copyright:© ISLS.