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.
The many academic areas covered in this publication include, but are not limited to:
Editors Hadjileontiadou, Dias, Diniz, and Hadjileontiadou present students, academics, researchers, and education professionals working in a wide variety of contexts with a collection of academic papers and scholarly articles focused on the application of fuzzy set theory to a range of educational settings. The editors have organized the contributions that make up the main body of the text in sixteen chapters in four parts devoted to the educational-ICT background, the definitions and inference systems of fuzzy logic, FIS-based modeling in approaches to learning, and overall perspectives.
This book provides a valuable contribution to the existing literature of e-learning and related research methodologies. It offers both a breadth and depth of coverage in issues linking fuzzy logic, e-learning, collaborative and blended learning, instructional design and knowledge modelling, along with efficient analytical tools that cannot be easily found elsewhere. This book should be included in any academic and research library since it can serve as a valuable resource and reference book for academics, researchers, educators, post graduate students and practitioners in a full range of e-learning fields.