Learning with Digital Agents: An Analysis based on the Activity Theory

• 成果类型: Article
• 署名作者: Dolata, Mateusz; Katsiuba, Dzmitry; Wellnhammer, Natalie; Schwabe, Gerhard
• 署名单位: University of Zurich; University of Zurich
• 刊物名称: JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
• ISSN/ISSBN: 0742-1222
• DOI: 10.1080/07421222.2023.2172775
• 发表日期: 2023
• 页码: 56-95
• 关键词: intelligent tutoring systems; animated pedagogical agents; design science research; media richness theory; information-systems; natural-language; higher-education; Cognitive load; TECHNOLOGY USE; IMPACT

摘要

Digital agents are considered a general-purpose technology. They spread quickly in private and organizational contexts, including education. Yet, research lacks a conceptual framing to describe interaction with such agents in a holistic manner. While focusing on the interaction with a pedagogical agent, that is, a digital agent capable of natural-language interaction with a learner, we propose a model of learning activity based on activity theory. We use this model and a review of prior research on digital agents in education to analyze how various characteristics of the activity, including features of a pedagogical agent or learner, influence learning outcomes. The analysis leads to identification of information systems research directions and guidance for developers of pedagogical agents and digital agents in general. We conclude by extending the activity theory-based model beyond the context of education and show how it helps designers and researchers ask the right questions when creating a digital agent.