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Teachable Agents in Virtual Learning Environments: a Case Study
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, , , , , , Nanyang Technological University, Singapore ; , Victoria University Australia, Australia

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Vancouver, Canada ISBN 978-1-880094-76-1 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

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Abstract

As intelligent agent and virtual world technologies advanced to new heights in the current decade, researchers from diverse fields have started to look into possible ways of applying these emerging technologies to improve e-learning systems. Nevertheless, most attempts focused on using pedagogical agents to achieve traditional e-learning goals which place heavy emphasis on learning outcomes. In this paper, we leverage on our previous research results – the Multi-Agent Development Environment (MADE) - which drastically reduced to the technical hurdle of incorporating pedagogical agents into VLEs. We present a VLE augmented with teachable agents designed based on the experiential learning model (ELM) to facilitate the learning of high school science topics and demonstrate the efficacy of MADE in designing complex learning activities, designing teachable agents that complement immersive experiential learning and supporting the design based research (DBR) development model.

Citation

Yu, H., Miao, C., Tao, X., Shen, Z., Cai, Y., Li, B. & Miao, Y. (2009). Teachable Agents in Virtual Learning Environments: a Case Study. In T. Bastiaens, J. Dron & C. Xin (Eds.), Proceedings of E-Learn 2009--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1088-1096). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved August 15, 2024 from .

© 2009 Association for the Advancement of Computing in Education (AACE)

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References

View References & Citations Map
  1. 2. Baylor, A.L. (2002). Agent-based learning environments as a research tool for investigating teaching and learning. Journal of Educational Computing Research, 26(3), 249-270.
  2. 3. Baylor, A.L. (2003). The Impact of Three Pedagogical Agent Roles, International Conference on Autonomous Agents and Multi-agent Systems. Melbourne, Australia.
  3. 4. Blair, K., Schwartz, D.L., Biswas, G., & Leelawong, K. (2006). Pedagogical Agents for Learning by Teaching: Teachable Agents. Educational Technology& Society(Special Issue on Pedagogical Agents).
  4. 5. Chan, T.-W., & Chou, C.-Y. (1997). Exploring the Design of Computer Supports for Reciprocal Tutoring. International Journal of Artificial Intelligence in Education, 8, 1-29.
  5. 6. Cohen, P.A., Kulik, J.A., & Kulik, C.-L.C. (1982). Educational Outcomes of Peer Tutoring: A Meta-analysis of Findings. American Educational Research Journal, 19, 237-248.
  6. 7. Dede, C. (2009). Immersive Interfaces for Engagement and Learning. Science, 323(5910), 66-69.
  7. Johnson, W.L. (1998). Integrating Pedagogical Agents into Virtual Environments. Presence: Teleoperators and Virtual Environments, 7(6), 523-546.
  8. 9. Kolb, D.A. (1984). Experiential Learning. Englewood Cliffs.
  9. 10. Linn, J.G., Segedy, J., Jeong, H., Podgursky, B., & Biswas, G. (2009). Reconfigurable Architecture for building Intelligent Learning Environments, The 14th International Conference on Artificial Intelligence in Education. Brighton, United Kingdom.
  10. 11. Shen, Z., Miao, C., & Gay, R. (2006). Goal-oriented Methodology for Agent-oriented Software Engineering. IEICE Transactions on Information and Systems, Special Issue on Knowledge-based Software Engineering, E89-D(4).
  11. 12. Sherin, M. (2002). When Teaching Becomes Learning. Cognition& Instruction, 20, 119-150.
  12. 13. Sinclair, G., & Beverley, H. (1989). Peer Tutoring-A Guide to Learning by Teaching: Nichols Publishing.
  13. 14. Yu, H., Shen, Z., Low, C.P., & Miao, C. (2008). Transforming Learning through Agent Augmented Virtual World, the 8th IEEE International Conference on Advanced Learning (ICALT 2008) (pp. 933-937).
  14. 15. Yu, H., Shen, Z., & Miao, C. (2008). A Goal-oriented Development Tool to Automate the Incorporation of Intelligent Agents into Interactive Digital Media Applications ACM Computers in Entertainment (CIE) Magazine, 6.-1096 DASHDASH

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