TY - GEN
T1 - Ruffle&Riley
T2 - 11th ACM Conference on Learning @ Scale, L@S 2024
AU - Schmucker, Robin
AU - Xia, Meng
AU - Azaria, Amos
AU - Mitchell, Tom
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/7/9
Y1 - 2024/7/9
N2 - Conversational tutoring systems (CTSs) offer learning experiences driven by natural language interactions. They are recognized for promoting cognitive engagement and improving learning outcomes, especially in reasoning tasks. Ruffle&Riley is a novel type of CTS that explores the potential of LLMs for efficient AI-assisted content authoring and for facilitating structured free-form conversational tutoring. This interactive event enables participants to engage with the LLM-based CTS introduced in our recent AIED2024 paper in two ways: (1) Attendees will interact with the web application using their personal devices. (2) Attendees will learn how to import learning materials into the system and generate custom tutoring scripts through a detailed tutorial. Ruffle&Riley is an extendable, open-source framework that promotes research on effective instructional design of LLM-based learning technologies. The interactive event will foster related discussions.
AB - Conversational tutoring systems (CTSs) offer learning experiences driven by natural language interactions. They are recognized for promoting cognitive engagement and improving learning outcomes, especially in reasoning tasks. Ruffle&Riley is a novel type of CTS that explores the potential of LLMs for efficient AI-assisted content authoring and for facilitating structured free-form conversational tutoring. This interactive event enables participants to engage with the LLM-based CTS introduced in our recent AIED2024 paper in two ways: (1) Attendees will interact with the web application using their personal devices. (2) Attendees will learn how to import learning materials into the system and generate custom tutoring scripts through a detailed tutorial. Ruffle&Riley is an extendable, open-source framework that promotes research on effective instructional design of LLM-based learning technologies. The interactive event will foster related discussions.
KW - authoring tools
KW - conversational tutoring systems
KW - intelligent tutoring systems
KW - large language models
UR - https://www.scopus.com/pages/publications/85199898225
U2 - 10.1145/3657604.3664719
DO - 10.1145/3657604.3664719
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AN - SCOPUS:85199898225
T3 - L@S 2024 - Proceedings of the 11th ACM Conference on Learning @ Scale
SP - 547
EP - 549
BT - L@S 2024 - Proceedings of the 11th ACM Conference on Learning @ Scale
Y2 - 18 July 2024 through 20 July 2024
ER -