Learning Outcomes
Upon successful completion of this course, students will:
1. Broaden their knowledge of the areas of distance learning, collaborative learning and blended learning.
2. Understand the theoretical framework of intelligent technologies in education
3. Acquainted with appropriate applications of intelligent technologies in data modeling and especially in the area of fuzzy logic.
4. Experiment in training scenarios analyzing derived data with intelligent technologies.
Course Content (Syllabus)
L1: Presentation of the Course
L2: Placing the Framework within the Educational Context
L3: Understanding Online Learning Environments
L4: Computer-Supported Collaborative Learning
L5: Towards Blending Potentialities within a LMS: Definitions/Trends
L6: Personal/Cloud Learning Environment/Web 3.0/ Ontologies
L7: Placing the Framework within the Fuzzy Logic World
L8: Fuzzy Logic Essentials/Fuzzy Logic-Based Inference System
L9: Fuzzy Logic/Matlab environment
L10: Massive Open Online Courses
L11: Connecting the Educational and Fuzzy Worlds
Course lectures (L1-L14) content:
L12: Applications of Fuzzy Logic, Part I
L13: Applications of Fuzzy Logic , Part II
L14: Towards a Hybrid Modeling/ Project Guidelines
Keywords
Intelligent technologies, fuzzy logic, distance learning, collaborative learning, blended learning
Course Bibliography (Eudoxus)
Fuzzy Logic-Based Modeling in Collaborative and Blended Learning
Sofia J. Hadjileontiadou (Hellenic Open University, Greece), Sofia B. Dias (Universidade de Lisboa, Portugal), José A. Diniz (Universidade de Lisboa, Portugal) and Leontios J. Hadjileontiadis (Aristotle University of Thessaloniki, Greece)
http://www.igi-global.com/book/fuzzy-logic-based-modeling-collaborative/126419
Additional bibliography for study
Towards an Intelligent Learning Management System Under Blended Learning
Trends, Profiles and Modeling Perspectives
Dias, Sofia B., Diniz, José A., Hadjileontiadis, Leontios J
http://www.springer.com/fr/book/9783319020778