Technology ecosystem for orchestrating dynamic transitions between individual and collaborative AI-tutored problem solving

Kexin Bella Yang, Zijing Lu, Vanessa Echeverria, Jonathan Sewall, Luettamae Lawrence, Nikol Rummel, Vincent Aleven

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationArtificial Intelligence in Education - 23rd International Conference, AIED 2022 Durham, UK, July 27–31, 2022 Proceedings, Part I
EditorsMaria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova
Place of PublicationCham Switzerland
PublisherSpringer
Pages673-678
Number of pages6
ISBN (Electronic)9783031116445
ISBN (Print)9783031116438
DOIs
Publication statusPublished - 2022
Externally publishedYes
EventInternational Conference on Artificial Intelligence in Education 2022 - Durham, United Kingdom
Duration: 27 Jul 202231 Jul 2022
Conference number: 23rd
https://link.springer.com/book/10.1007/978-3-031-11644-5

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume13355
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Artificial Intelligence in Education 2022
Abbreviated titleAIED 2022
Country/TerritoryUnited Kingdom
CityDurham
Period27/07/2231/07/22
Internet address

Keywords

  • Classroom orchestration
  • Collaborative learning
  • Differentiated learning
  • Dynamic transitions

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