Abstract
During the last decade, learning management systems (LMS) have become a useful tool for students and teachers seeking to assist virtual learning processes. The aim of this paper is to present a proposal for the design and integration of a learning companion agent within the Claroline LMS intended to foster collaboration, assistance, support, and motivation of students. Using a role-based design method a learning companion agent was built having three main roles: Competitor, Fault Detector, and Collaborator. Through these roles the platform provides student-centered responses, educational resources, and the possibility to interact within a healthy competition learning environment. The companion agent was implemented and validated through a case study that includes a test virtual course and assessments for several registered students. It can be concluded that using a companion agent students become aware of their learning failures and overall performance of the virtual course.
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References
Kim, Y., Wei, Q.: The impact of learner attributes and learner choice in an agent-based environment. Comput. Educ. 56(2), 505–514 (2011)
Cheng, B., Wang, M., Yang, S.J.H., Kinshuk, Peng, J.: Acceptance of competency-based workplace e-learning systems: effects of individual and peer learning support. Comput. Educ. 57(1), 1317–1333 (2011)
Chou, C., Chan, T., Lin, C.: Redefining the learning companion: the past, present, and future of educational agents. Comput. Educ. 40(3), 255–269 (2003)
Moreno, J., Zapata, F.A., Duque, N.D.: Towards the design of an educational agent within a game-based learning environment. In: Workshop MASLE - Multiagent System Based Learning Environments in ITS Conference, Hawaii (2014)
Consortium Claroline, Claroline, http://claroline.net/type/clarolinev (January 2014)
Butakov, S., Smolin, D.: Integration platform for a learning environment. In: 2013 IEEE 13th International Conference on Advanced Learning Technologies (ICALT). IEEE July 2013
Bokhari, M.U., Ahmad, S.: Detailed analysis of existing multi-agent based e-learning systems. In: 2014 International Conference on Computing for Sustainable Global Development (INDIACom). IEEE March 2014
Bhaskaran, S., Swaminathan, P.: Intelligent adaptive e-learning model for learning management system. Int. J. Technol. Policy Manag 14, 99–109 (2014)
Chen, Z.-H., Chen, S.Y.: When educational agents meet surrogate competition: impacts of competitive educational agents on students’ motivation and performance. Comput. Educ. 75, 274–281 (2014)
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© 2015 Springer International Publishing Switzerland
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Ovalle, D.A., Hernández, M., Moreno, J. (2015). A Proposal to Integrate a Learning Companion Agent Within Claroline LMS. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection. PAAMS 2015. Communications in Computer and Information Science, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-319-19033-4_30
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DOI: https://doi.org/10.1007/978-3-319-19033-4_30
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