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

Autor/inn/en	Yang, Kexin Bella; Lu, Zijing; Echeverria, Vanessa; Sewall, Jonathan; Lawrence, Luettamae; Rummel, Nikol; Aleven, Vincent
Titel	Technology ecosystem for orchestrating dynamic transitions between individual and collaborative AI-tutored problem solving.
Quelle	Aus: Rodrigo, Maria Mercedes (Hrsg.); Matsuda, Noburu (Hrsg.); Cristea, Alexandra I. (Hrsg.); Dimitrova, Vania (Hrsg.): Artificial intelligence in education. 23rd international conference, AIED 2022, Durham, UK, July 27-31, 2022. Proceedings. 1. Cham: Springer (2022) S. 673-678 PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	Lecture notes in computer science. 13355
Sprache	englisch
Dokumenttyp	gedruckt; online; Sammelwerksbeitrag
ISBN	978-3-031-11643-8; 978-3-031-11646-9
DOI	10.1007/978-3-031-11644-5_66
Schlagwörter	Klassenraum; Gruppenarbeit; Kollaboration
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. (übernommen).
Erfasst von	Externer Selbsteintrag
Update	2025/2