Abstract
It might be highly effective if students could transition dynamically between individual and collaborative learning activities, but how could teachers manage such complex classroom scenarios? Although recent work in AIED has focused on teacher tools, little is known about how to orchestrate dynamic transitions between individual and collaborative learning. We created a novel technology ecosystem that supports these dynamic transitions. The ecosystem integrates a novel teacher orchestration tool that provides monitoring support and pairing suggestions with two AI-based tutoring systems that support individual and collaborative learning, respectively. We tested the feasibility of this ecosystem in a classroom study with 5 teachers and 199 students over 22 class sessions. We found that the teachers were able to manage the dynamic transitions and valued them. The study contributes a new technology ecosystem for dynamically transitioning between individual and collaborative learning, plus insight into the orchestration functionality that makes these transitions feasible.
Original language | English |
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Title of host publication | Artificial Intelligence in Education - 23rd International Conference, AIED 2022 Durham, UK, July 27–31, 2022 Proceedings, Part I |
Editors | Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova |
Place of Publication | Cham Switzerland |
Publisher | Springer |
Pages | 673-678 |
Number of pages | 6 |
ISBN (Electronic) | 9783031116445 |
ISBN (Print) | 9783031116438 |
DOIs | |
Publication status | Published - 2022 |
Externally published | Yes |
Event | International Conference on Artificial Intelligence in Education 2022 - Durham, United Kingdom Duration: 27 Jul 2022 → 31 Jul 2022 Conference number: 23rd https://link.springer.com/book/10.1007/978-3-031-11644-5 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 13355 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Artificial Intelligence in Education 2022 |
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Abbreviated title | AIED 2022 |
Country/Territory | United Kingdom |
City | Durham |
Period | 27/07/22 → 31/07/22 |
Internet address |
Keywords
- Classroom orchestration
- Collaborative learning
- Differentiated learning
- Dynamic transitions