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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
Wang, Chao; Lu, Hong – Educational Technology & Society, 2018
This study focused on the effect of examinees' ability levels on the relationship between Reflective-Impulsive (RI) cognitive style and item response time in computerized adaptive testing (CAT). The total of 56 students majoring in Educational Technology from Shandong Normal University participated in this study, and their RI cognitive styles were…
Descriptors: Item Response Theory, Computer Assisted Testing, Cognitive Style, Correlation
Filippidis, Stavros K.; Tsoukalas, Ioannis A. – Interactive Learning Environments, 2009
An adaptive educational system that uses adaptive presentation is presented. In this system fragments of different images present the same content and the system can choose the one most relevant to the user based on the sequential-global dimension of Felder-Silverman's learning style theory. In order to retrieve the learning style of each student…
Descriptors: Cognitive Style, Questionnaires, Instructional Materials, Statistical Analysis
Peer reviewedRothen, Wolfgang; Tennyson, Robert D. – Journal of Educational Psychology, 1977
Three strategies for selecting number of instances needed to learn legal concepts were compared. An adaptive strategy required 25 percent less time and resulted in better post test performance than a partially adaptive strategy. The partially adaptive strategy was 16 percent more efficient than the nonadaptive strategy, and resulted in better…
Descriptors: Adaptive Testing, Cognitive Style, Computer Assisted Instruction, Concept Formation
Woodrow, Lindy J. – 2001
This paper introduces a model of adaptive learning relevant to adult learners of English for academic purposes (EAP) in Australia. Adaptive learning refers to latent variables hypothesized to contribute to optimal performance in the language. The model comprises motivation, self-efficacy, language learning anxiety, language learning strategies,…
Descriptors: Adaptive Testing, Adult Education, Cognitive Style, Communication Apprehension
Carlson, Jerry S.; Wiedl, Karl Heinz – 1980
Through dynamic testing (the notion that tailored testing can be extended to the use of a learning oriented approach to assessment), analysis were made of how motivational, personality, and cognitive style factors interact with assessment approaches to yield performance data. Testing procedures involving simple feedback, elaborated feedback, and…
Descriptors: Adaptive Testing, Black Students, Cognitive Style, Conceptual Tempo
Lazinica, Aleksandar, Ed.; Calafate, Carlos, Ed. – InTech, 2009
The widespread deployment and use of Information Technologies (IT) has paved the way for change in many fields of our societies. The Internet, mobile computing, social networks and many other advances in human communications have become essential to promote and boost education, technology and industry. On the education side, the new challenges…
Descriptors: Academic Achievement, Higher Education, Educational Technology, Experiential Learning

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