Fuzzy Logic-Based Modeling in Collaborative and Blended Learning
Nonfiction, Reference & Language, Education & Teaching, Teaching, Computers & Technology, Educational Theory
| Author: | Sofia J. Hadjileontiadou, Sofia B. Dias, José A. Diniz, Leontios J. Hadjileontiadis | ISBN: | 9781466687073 |
| Publisher: | IGI Global | Publication: | July 31, 2015 |
| Imprint: | Information Science Reference | Language: | English |
| Author: | Sofia J. Hadjileontiadou, Sofia B. Dias, José A. Diniz, Leontios J. Hadjileontiadis |
| ISBN: | 9781466687073 |
| Publisher: | IGI Global |
| Publication: | July 31, 2015 |
| Imprint: | Information Science Reference |
| Language: | English |
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.
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.
