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- Title
Users' domain knowledge prediction in e-learning with speech-interfaced augmented and virtual reality contents.
- Authors
Sathia Bhama, Ponsy R. K.; Hariharasubramanian, Vigneshwaran; Mythili, O. P.; Ramachandran, Murugesh
- Abstract
E-learning provides an individualized course path which provides a user the convenience of pacing ones way through a particular course. One of the key privileges it offers is the flexibility of the course and consistent delivery of the material. The proposed system predicts the user's domain knowledge with the help of the lectures knowledge that a particular user completes and also a lecture's knowledge gets updated with respect to the users' knowledge who searches for it. The dependency among the domains also plays a vital role in updating ones' domain knowledge. The dependencies can be determined by constructing a fuzzy cognitive map. This helps in determining the user's knowledge in other domains also. The lectures of the proposed system include Augmented Reality and Virtual Reality contents which give an interactive learning experience to the users. The user commands are accepted as audio signals, processed, classified and mapped to the system commands to make it to respond. This proposed work uses the combination of discrete wavelet transform and wavelet packet decomposition for feature extraction and artificial neural network for classification.
- Subjects
AUGMENTED reality; VIRTUAL reality; FEATURE extraction; DISCRETE wavelet transforms; ARTIFICIAL neural networks; LEARNING Management System
- Publication
Virtual Reality, 2020, Vol 24, Issue 1, p163
- ISSN
1359-4338
- Publication type
Article
- DOI
10.1007/s10055-017-0321-4