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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
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
Eyuboglu, Filiz; Orhan, Feza – British Journal of Educational Technology, 2011
This study investigates the navigational patterns and learning achievement of university students with different cognitive styles, on hypermedia learning environments using paging or scrolling. The global-local subscales of Sternberg's Thinking Styles Inventory, two hypermedia, one using paging, the other using scrolling, a multiple choice…
Descriptors: Cognitive Style, Achievement Tests, Cognitive Measurement, Satisfaction
Liu, Ming-Chi; Huang, Yueh-Min; Kinshuk; Wen, Dunwei – Educational Technology Research and Development, 2013
It is critical that students learn how to retrieve useful information in hypermedia environments, a task that is often especially difficult when it comes to image retrieval, as little text feedback is given that allows them to reformulate keywords they need to use. This situation may make students feel disorientated while attempting image…
Descriptors: Navigation (Information Systems), Online Searching, Hypermedia, Predictor Variables