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Martin, Florence; Chen, Yan; Moore, Robert L.; Westine, Carl D. – Educational Technology Research and Development, 2020
This systematic review of research on adaptive learning used a strategic search process to synthesize research on adaptive learning based on publication trends, instructional context, research methodology components, research focus, adaptive strategies, and technologies. A total of 61 articles on adaptive learning were analyzed to describe the…
Descriptors: Electronic Learning, Educational Research, Journal Articles, Computer Science
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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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Li, Wei; Chiu, Chuang-Kai; Tseng, Judy C. R. – Educational Technology & Society, 2019
In context-aware ubiquitous learning, the learning resources of the learning environment are limited, and the learners need to frequently move between learning targets. Therefore, how to provide appropriate learning paths for students in the real world is essential in context-aware ubiquitous learning. In this study, a personalized navigation…
Descriptors: Cognitive Style, Navigation, Electronic Learning, Educational Technology
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Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
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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Chen, Sherry Y.; Huang, Pei-Ren; Shih, Yu-Cheng; Chang, Li-Ping – Interactive Learning Environments, 2016
In the past decade, a number of personalized learning systems have been developed and they mainly focus on learners' prior knowledge. On the other hand, previous research suggested that gender differences and cognitive styles have great effects on student learning. To this end, this study examines how human factors, especially gender differences…
Descriptors: Prior Learning, Student Characteristics, Gender Differences, 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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Bak, Peter; Meyer, Joachim – Behaviour & Information Technology, 2011
Information systems increasingly provide options for visually inspecting data during the process of information discovery and exploration. Little research has dealt so far with user interactions with these systems, and specifically with the effects of characteristics of the displayed data and the user on performance with such systems. The study…
Descriptors: Foreign Countries, Graphs, Criteria, Information Retrieval
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Somyürek, Sibel; Güyer, Tolga; Atasoy, Bilal – Turkish Online Journal of Educational Technology - TOJET, 2008
One of the major features of a computer based instruction (CBI) is its non-linear structure allowing learners the opportunity of flexible navigation to accommodate their own needs. However, this non-linear structure may cause problems such as inefficient navigation, being lost or cognitive overhead for some learners. The aim of this study is to…
Descriptors: Undergraduate Students, Cognitive Style, Computer Assisted Instruction, Prior Learning
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Ford, Nigel; Chen, Sherry Y. – Journal of Educational Multimedia and Hypermedia, 2000
Describes a study conducted at the University of Sheffield (United Kingdom) that measured the learning behavior and performance of 65 postgraduate students using a hypermedia-based tutorial. Considers cognitive style, levels of prior experience, motivation, age, gender, and navigation patterns. (Author/LRW)
Descriptors: Academic Achievement, Age Differences, Cognitive Style, Computer Assisted Instruction
Chou, Chien; Lin, Hua – 1997
A study of first-year college students (n=121) in Taiwan investigated the effects of navigation maps and learner cognitive styles on performance in searches for information, estimation of course scope, and the development of cognitive maps within a hypertext learning course. Students were tested to determine level of perceptual field dependence…
Descriptors: Cognitive Mapping, Cognitive Style, College Students, Computer Networks
Neumann, Gustaf; Zirvas, Jana – 1998
This paper describes the architecture and discusses implementation issues of a scalable Internet-based teaching and learning system (SKILL) being developed at the University of Essen (Germany). The primary objective of SKILL is to cope with the different knowledge levels and learning preferences of the students, providing them with a collaborative…
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer System Design, Cooperative Learning