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Showing 1 to 15 of 43 results Save | Export
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Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
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Wang, Jen-Hang; Chang, Li-Ping; Chen, Sherry Y. – Journal of Educational Computing Research, 2018
Mobile devices (MDs) change the way of teaching and learning. However, not every student can appreciate the value of MDs. Thus, it is necessary to consider individual differences. Among various individual differences, cognitive styles particularly affect student learning because they refer to individuals' information processing habits. In this…
Descriptors: Cognitive Style, Web Based Instruction, Handheld Devices, Computers
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Alomyan, Hesham Raji – Australian Educational Computing, 2016
This paper reports a study, which investigated whether different instructional strategies might interact with individual's cognitive style in learning. A web-based learning package was designed employing three strategies, Interactive Concept Maps, Illustration with Embedded Text and Text-Only. Group Embedded Figure Test was administered to 178…
Descriptors: Web Based Instruction, Teaching Methods, Cognitive Style, Concept Mapping
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Kuo, Ping-Hong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Technology and innovation are the power of human civilization. In face of such a changeable era, the rapid development and circulation of information technology has hastened the diversification of society. To cope with the approach of information society, teaching methods should also be changed, as traditional injection education could no longer…
Descriptors: Foreign Countries, Synchronous Communication, Web Based Instruction, Creative Thinking
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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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Mejia, Carolina; Florian, Beatriz; Vatrapu, Ravi; Bull, Susan; Gomez, Sergio; Fabregat, Ramon – IEEE Transactions on Learning Technologies, 2017
Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called…
Descriptors: Clinical Diagnosis, Dyslexia, Visualization, Metacognition
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Huang, Yueh-Min; Hwang, Jan-Pan; Chen, Sherry Y. – Interactive Learning Environments, 2016
Cognitive styles have been regarded as a crucial factor that affects the effectiveness of web-based learning (WBL). Previous research indicated that educational settings that match with students' cognitive styles can enhance students' learning performance, which is, however, linked to their emotion. Various physiological signals can be applied to…
Descriptors: Web Based Instruction, Cognitive Style, Educational Environment, Emotional Response
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Sullivan, Jay; Bush, Francis; Squire, James; Walsh, Vonda – Journal of College Teaching & Learning, 2013
The use of interactive web-based teaching materials has become an indelible feature of the educational landscape over the last decade especially for technical subjects such as engineering and mathematics. While web-based simulations present great opportunity to provide students with the feedback needed for the acquisition of new concepts, it has…
Descriptors: Higher Education, College Students, Web Based Instruction, Longitudinal Studies
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Chen, L.; Zhang, R.; Liu, C. – Journal of Computer Assisted Learning, 2014
This study investigates second and foreign language (L2) learners' listening strategy use and factors that influence their strategy use in a Web-based computer assisted language learning (CALL) system. A strategy inventory, a factor questionnaire and a standardized listening test were used to collect data from a group of 82 Chinese students…
Descriptors: Web Based Instruction, Second Language Instruction, Listening, Influences
Santally, Mohammad Issack; Senteni, Alain – European Journal of Open, Distance and E-Learning, 2013
Personalisation of e-learning environments is an interesting research area in which the learning experience of learners is generally believed to be improved when his or her personal learning preferences are taken into account. One such learning preference is the V-A-K instrument that classifies learners as visual, auditory or kinaesthetic. In this…
Descriptors: Learning Experience, Student Experience, Instructional Effectiveness, Individualized Instruction
Featro, Susan Mary – ProQuest LLC, 2012
The study gathered data on learning styles, technical comfort level, age, gender, and undergraduate or graduate status to determine if these are predictors of student satisfaction in online learning environments. Student satisfaction was considered in terms of learner-content interaction, learner-instructor interaction, learner-learner…
Descriptors: Interaction, Cognitive Style, Electronic Learning, Online Courses
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Cheng, Li – Excellence in Education Journal, 2014
Self-directed learning has been researched by scholars for many years. However, there is a lack of literature on web-based self-directed Mandarin learning. This research was aimed to investigate how students can learn Mandarin through self-directed study with Internet resources, what the advantages and challenges are, and what strategies students…
Descriptors: Mandarin Chinese, Independent Study, Student Attitudes, College Students
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Pernas, Ana Marilza; Diaz, Alicia; Motz, Regina; de Oliveira, Jose Palazzo Moreira – Interactive Technology and Smart Education, 2012
Purpose: The broader adoption of the internet along with web-based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching-controlled learning style has given up space to a new…
Descriptors: Electronic Learning, Student Needs, Cognitive Style, Internet
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Lopez, Salvador; Patron, Hilde – Journal of Educators Online, 2012
According to Howard Gardner, Professor of Cognition and Education at Harvard University, intelligence of humans cannot be measured with a single factor such as the IQ level. Instead, he and others have suggested that humans have different types of intelligence. This paper examines whether students registered in online or mostly online courses have…
Descriptors: Online Courses, Statistics, Multiple Intelligences, Teaching Styles
Brown, Victoria – Online Submission, 2011
Professors of online courses often consider the type of learning styles the students may have when designing online learning opportunities. This study explored different issues that may impact the learning styles of learners who self-select online courses. The "Grasha-Riechmann student learning style scales" was used to determine the…
Descriptors: Electronic Learning, Cognitive Style, Online Courses, Conventional Instruction
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