Level-Up your Learning – Introducing a Framework for Gamified Educational Conversational Agents

Autor(en): Benner, Denis
Schöbel, Sofia 
Suess, Christoph
Baechle, Vera
Janson, Andreas
Stichwörter: Chatbots; Conversational Agents; Conversational learning; Digital-learning; Education; Framework; Game elements; Gamification; Learning agents; Learning process; Self-regulated learning
Erscheinungsdatum: 2022
Herausgeber: Association for Information Systems
Enthalten in: 17th International Conference on Wirtschaftsinformatik, WI 2022
Zusammenfassung: 
Driven by circumstances like the global pandemic many learners and educators realize the importance and value of self-regulated digital learning. To better support self-regulated learning, conversational agents have become more relevant. Conversational agents can act as tutor or as learning mate for learners. Although conversational agents have potential to better support self-regulated learning processes, challenges exist requiring implications about how to make these interactions more engaging and supportive. This study discusses the value of gamified conversational learning chatbots that use game elements to engage learners to guide researchers and practitioners to design conversational agents that effectively motivate learners and provide self-regulated learning at the same time. Therefore, we propose a systematically developed framework for gamifying educational conversational agents and contribute to theory by consolidating several theories about games, digital learning, and conversational agents and support practitioners by providing implications about what to care about when gamifying conversational agents. © 2022 17th International Conference on Wirtschaftsinformatik, WI 2022. All rights reserved.
Beschreibung: 
Cited by: 0; Conference name: 17th International Conference on Wirtschaftsinformatik, WI 2022; Conference date: 21 February 2022 through 23 February 2022; Conference code: 191912
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172008559&partnerID=40&md5=4ce1af738dea5d7f9dd91ce12932acf3

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