Abstract
Personalized education in an ICT enabled environment is a contemporary matter today. The adaptation of education to diverse types of student is becoming a big challenge. Proposing personalized learning in the digital era, we obtained a new dimension called an agent based adaptive learning. This has led to adopt knowledge management practices that provide innovation in knowledge clustering for active learning. In the ICT enabled learning, the learners are geographically scattered. Agent-Oriented System simulates the teaching-learning pedagogy by sensing the environment, listing several traits, observing the user behavior, finding pattern and learning pace of the learner. This leads towards imparting intelligence to an agent that helps both learner and the tutor to build a smart teaching-learning environment. This paper proposes an agent which works as a middleware which uses semi supervised learning mechanism with both forward and backward chaining for the inference to impart intelligence in learning environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Vaidya, N., Sajja, P.: Ubiquitous computing agent to determine effective content and recommend curriculum in collaborative learning environment. Recent Trends Comput. Commun. Technol. 1(1), 96–99 (2016a)
Vaidya, N., Sajja, P., Gor, D.: Evaluating learning effectiveness in collaborative learning environment by using multi-objective grey situation decision making theory. Int. J. Sci. Eng. Res. 6(8), 41–45 (2015)
Vaidya, N., Sajja, P.: Learner ontological model for intelligent virtual collaborative learning environment. Int. J. Comput. Eng. Res. 6(2), 20–23 (2016b)
Vaidya, N., Sajja, P.: Feasibility study for assessing readiness to a collaborative e-learning environment. Int. J. Res. Eng. IT Soc. Sci. 6(6), 10–16 (2016c)
Ashabi, A., Khalil, S.: Agent-oriented software engineering characteristics and paradigm. J. Multidiscip. Eng. Sci. Technol. 1(4) (2014). ISSN 3159-0040
Jennings, N., Wooldridge, M.: Agent-Oriented Software Engineering
Chugh, R.: Knowledge sharing with enhanced learning and development opportunities. In: IEEE International Conference on Information Retrieval and Knowledge Management 2012, Kuala Lumpur, Malaysia, pp. 100–104 (2012)
Vafaee, P., Suzuki, Y., Pelzl, E.: How Aptitude-Treatment-interaction Studies Can Benefit Learning-Oriented Assessment, University of Maryland
Reed, Z.: Collaborative Learning in the Classroom. Center for Faculty Excellence, United States Military Academy, West Point (2014)
Kostolányová, K., Šarmanová, J.: Use of adaptive study material in education in elearning environment. Electron. J. e-Learn. 12(2), 172–263 (2014)
Ahmad, N., Tasir, Z. et al.: Automatic detection of learning styles in learning management systems by using literature-based method. In: 13th International Educational Technology Conference, vol. 103, pp. 181–189 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Vaidya, N., Sajja, P. (2018). Use of an Adaptive Agent in Virtual Collaborative Learning Environment. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2. ICTIS 2017. Smart Innovation, Systems and Technologies, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-319-63645-0_65
Download citation
DOI: https://doi.org/10.1007/978-3-319-63645-0_65
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63644-3
Online ISBN: 978-3-319-63645-0
eBook Packages: EngineeringEngineering (R0)