Abstract
E-Learning across all environments, whether it may be profit-making, educational or personal, it can be greatly used if the learning experience fulfilled both without delay and contextually. This paper presents the neuro-fuzzy based approach for dynamic content generation. Fast expansion of technology convert newly generated information into previous and invalidates it. This circumstance makes educators, trainers and academicians to use information suitably and efficiently. To achieve this objective, there must be several ways that is used by broad variety of educationists in a quick and efficient manner. These tools must permit generating the information and distributing it. In this paper, a web-based lively content generation system for educationists is presented. Neuro-fuzzy approach is used for developing this system. So that by considering performance of the learners the system will provide the content based on the knowledge level of that particular learner. It will help to individual learners to improve their knowledge level. Instructors can rapidly gather, bundle, and reorder web-based educational content, effortlessly import prepackaged content, and conduct their courses online. Learners study in an easily reached, adaptive, shared learning atmosphere.
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Tingane, M., Bhagat, A., Khodke, P., Ali, S. (2016). Neuro-Fuzzy Approach for Dynamic Content Generation. In: Corchado Rodriguez, J., Mitra, S., Thampi, S., El-Alfy, ES. (eds) Intelligent Systems Technologies and Applications 2016. ISTA 2016. Advances in Intelligent Systems and Computing, vol 530. Springer, Cham. https://doi.org/10.1007/978-3-319-47952-1_39
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DOI: https://doi.org/10.1007/978-3-319-47952-1_39
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