Workshop5:Learning from Nature: Evolutionary and Hybrid E–learning Methodologies in Engineering (E&H-e–L 2011)

Learning from Nature: Evolutionary and Hybrid E –learning Methodologies in Engineering

Evolutionary and bio-logically inspired algorithms have become one of the established artifacts to consolidate the intelligent and adaptive techniques. The groups of algorithms are primarily self organized and adaptive, their collective phenomena lead to global optimization. They envisage from ant, termite, birds, fish, bacteria and swarm schools. It has been observed that the hybridization of these techniques with classical intelligent tools like Fuzzy Set, Rough Set and Genetic Algorithm could perform more deterministic throughput and relevant simulation can accomplish new dimensions. The features of evolutionary and hybrid heuristic provide a good understanding about learning, recommendation and means, and as a result of their experience and educationally related domain knowledge, many of them create primary learning objects (PLO) and gradually these objects could be reinforced by the follower learners, if context, reference and content can match the requirement. This behavior encourages many researchers to focus on developing e-learning systems with personalized learning mechanisms and provide a suitable learning and recommendation path both on the web and off the web paradigm.

This special session will attempt to bring together researchers and practitioners to a common platform and will create a forum to discuss the latest development in this application. Authors are invited to submit their original and unpublished work to this Special Session.

The following are the topics of interests but not limited to:

• Integrated Evolutionary learning and educational environments
• Simulations and virtual learning environments using Hybrid Intelligence
• Asynchronous interaction in Fuzzy Domain of learning
• Structural representations of e-Lessons mimicked from nature
• Uniform Content development strategies
• Pheromone Blended learning approaches and collective learning
• Machine Intelligence based e-Learning portals
• Evolutionary Web 2.0 technologies and the classroom
• Wiki and Open access
• Tutoring e-Learning applications and services
• Cost models for e-learning
• Human resource development using e- Learning and Recommender System
• Contextual and Personalized Learning
• Learning Content Management Systems & Learning Management Systems
• Content Development
• Applications of metadata and virtual reality
• Mobile learning
• Adaptive e-Learning and intelligent apps & tools


• Dr. Soumya Banerjee
Department of Computer Science and Engineering
Birla Institute of Technology, Mesra , Deoghar Campus, Jharkhand, India
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• Dr. Govind Sharan Dangayach
Department of Mechanical Engineering, Malaviya National Institute of
Technology, J L Nehru Marg, Jaipur , India
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• Prof. Monica Chis , Senior Project Manger, FREQUENTIS , FREQUENTIS AG,
Innovationsstraße 1.1100 Vienna, Austria.
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