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Technology has dramatically changed the way in which knowledge is shared within and outside of traditional classroom settings. The application of fuzzy logic to new forms of technology-centered education has presented new opportunities for analyzing and modeling learner behavior. Fuzzy Logic-Based Modeling in Collaborative and Blended Learning explores the application of the fuzzy set theory to educational settings in order to analyze the learning process, gauge student feedback, and enable quality learning outcomes. Focusing on educational data analysis and modeling in collaborative and blended learning environments, this publication is an essential reference source for educators, researchers, educational administrators and designers, and IT specialists. This premier reference monograph presents key research on educational data analysis and modeling through the integration of research on advanced modeling techniques, educational technologies, fuzzy concept maps, hybrid modeling, neuro-fuzzy learning management systems, and quality of interaction.
This is a digital product.
Additional ISBNs
1466687053, 146668707X, 9781466687059, 9781466687073
Fuzzy Logic-Based Modeling in Collaborative and Blended Learning is written by Sofia J. Hadjileontiadou; Sofia B. Dias; José A. Diniz; Leontios J. Hadjileontiadis and published by Information Science Reference. The Digital and eTextbook ISBNs for Fuzzy Logic-Based Modeling in Collaborative and Blended Learning are 9781466687066, 1466687061 and the print ISBNs are 9781466687059, 1466687053. Additional ISBNs for this eTextbook include 1466687053, 146668707X, 9781466687059, 9781466687073.
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