Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/9260
Title: Supporting Collective Inquiry in a Critical Action Game: A Role for Open AI Conversational Agents
Authors: Zhou, Kathy H.
Pullen, Charlie
Holmes, Jeff
Slotta, James D.
Keywords: CSCL
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Zhou, K. H., Pullen, C., Holmes, J., & Slotta, J. D. (2023). Supporting collective inquiry in a critical action game: A role for open AI conversational agents. In Damșa, C., Borge, M., Koh, E., & Worsley, M. (Eds.), Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023 (pp. 428-431). International Society of the Learning Sciences.
Abstract: This paper presents Fall of Artica (FOA), a whole-class inquiry game set in a dystopian world that engages students to reflect critically and build media literacy through a collective inquiry about the dystopian context. This paper presents an application of cutting-edge AI technologies to create conversational agents using the OpenAI GPT3 large language model. These agents represent a new CSCL research affordance, allowing students to interact using natural language processing through spoken conversation with agents who are Non-Player Characters (NPC) that speak through a “portal into their dystopian world.” The agents allow students to uncover the game narrative and receive clues and quests through natural conversations and inquiry. Here, we describe our initial application of these agents in an 11th-grade visual arts curriculum where students construct a collective visual representation of the dystopian context guided by conversational interactions with the NPCs.
Description: Technology Innovation Paper
URI: https://doi.org/10.22318/cscl2023.922487
https://repository.isls.org//handle/1/9260
Appears in Collections:ISLS Annual Meeting 2023

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