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Maaliw, Renato R., III – Online Submission, 2020
Most virtual learning environment fails to recognize that students have different needs when it comes to learning. With the evolving characteristics and tendencies of students, these learning environments must provide adaptation and personalization features for adaptive learning materials, course content and navigational designs to support…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Individualized Instruction
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Kolekar, Sucheta V.; Pai, Radhika M.; M. M., Manohara Pai – Education and Information Technologies, 2019
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of…
Descriptors: Computer Interfaces, Computer Assisted Instruction, Electronic Learning, Online Courses
Maaliw, Renato R., III – Online Submission, 2016
Virtual Learning Environment (VLE) such as Moodle, Blackboard, and WebCT are commonly and successfully used in E-education. While they focus on supporting educators in creating and holding online courses, they typically do not consider the individual differences of learners. However, learners have different needs and characteristics such as prior…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Cognitive Style
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Farag, Mohammed; Shemy, Nader – International Journal on E-Learning, 2011
This research describes a study that examined the influences of cognitive style (as assessed by the CSA- Riding 1991) and Learners' Prior Knowledge on student recall performance of the contents of online course presented via two navigational formats (linear sequential navigation version versus nonlinear free navigation version). The study was…
Descriptors: Foreign Countries, Educational Research, Cognitive Style, Prior Learning
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Kim, Kyung-Sun – Library & Information Science Research, 2001
This study of undergraduates investigates how cognitive style, online database experience, and task type influence users' search behavior on the Web. Considers time spent, the number of nodes visited, search performance, navigational style, and ways to improve Web interfaces and Web user training programs. (Author/LRW)
Descriptors: Cognitive Style, Computer Interfaces, Higher Education, Information Seeking