Abstract
This paper presents a new concept of an e-learning system with intelligent two-way speech communication between the system and its users. Computational intelligence methods allow for analysis, evaluation and assessment of user’s knowledge and skills and user’s ability for efficient information processing. The system is also capable of control, supervision and optimization of the e-learning process. Developed as a prototype for mobile technologies, the communication system by speech and natural language between the e-learning system and external users consists of biometric user identification, speech recognition, word and sentence recognition, sentence meaning analysis, and user reaction assessment. Also discussed are selected new concepts of intelligent e-learning systems using speech communication. The discussion focuses on recognition and evaluation of spoken natural language sentences with hybrid neural networks.
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Kacalak, W., Majewski, M., Zurada, J.M. (2010). Intelligent E-Learning Systems for Evaluation of User’s Knowledge and Skills with Efficient Information Processing. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_62
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DOI: https://doi.org/10.1007/978-3-642-13232-2_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13231-5
Online ISBN: 978-3-642-13232-2
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