Technology Description

The technology presents the design of an Adaptive e-Learning System. This design could lead to the development of a software tool for e-learning that could adapt to the learning potential of every individual user. The proposed technology deals with the design and development of an Adaptive e-Learning System for personalised learning. The technology is an integration of Learning models, Optimization techniques and Semantic analysis, thereby making it a novel and innovative technology for adaptive e-learning. The proposed technology could also be extended to support collaborative and distributed e-learning thereby creating a social connectedness between learners.

Applications

The internationally flourishing e-learning industry could integrate the proposed technology to help educate our society more effectively.

Benefits

Most of the existing adaptive e-learning systems use predefined or adaptive tests to decide the learning path making them static adaptation models. It is sometimes easier to judge the understanding level of a student from the question he raises rather than from the answer he gives for a question put forth by the teacher. This technology would help to customize the content based on the questions raised by the user.

Contact details:

Information Manager
Email: timeis@ficci.com