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Lo, Jia-Jiunn; Chan, Ya-Chen; Yeh, Shiou-Wen – Computers & Education, 2012
This study developed an adaptive web-based learning system focusing on students' cognitive styles. The system is composed of a student model and an adaptation model. It collected students' browsing behaviors to update the student model for unobtrusively identifying student cognitive styles through a multi-layer feed-forward neural network (MLFF).…
Descriptors: College Freshmen, Cognitive Style, Internet, Web Based Instruction
Huang, Eugenia Y.; Lin, Sheng Wei; Huang, Travis K. – Computers & Education, 2012
Learning style is traditionally assumed to be a predictor of learning performance, yet few studies have identified the mediating and moderating effects between the two. This study extends previous research by proposing and testing a model that examines the mediating processes in the relationship between learning style and e-learning performance…
Descriptors: Electronic Learning, Undergraduate Students, Cognitive Style, Computer Mediated Communication
Angeli, Charoula – Computers & Education, 2013
An investigation was carried out to examine the effects of cognitive style on learners' performance and interaction during complex problem solving with a computer modeling tool. One hundred and nineteen undergraduates volunteered to participate in the study. Participants were first administered a test, and based on their test scores they were…
Descriptors: Cognitive Style, Problem Solving, Undergraduate Students, Man Machine Systems
Shaw, Ruey-Shiang – Computers & Education, 2012
This study is focused on the relationships among learning styles, participation types, and learning performance for programming language learning supported by an online forum. Kolb's learning style inventory was used in this study to determine a learner's learning type: "Diverger", "Assimilator", "Converger", and "Accommodator". Social Learning…
Descriptors: Learning Theories, Cognitive Style, Socialization, Programming Languages
Akbulut, Yavuz; Cardak, Cigdem Suzan – Computers & Education, 2012
Implementing instructional interventions to accommodate learner differences has received considerable attention. Among these individual difference variables, the empirical evidence regarding the pedagogical value of learning styles has been questioned, but the research on the issue continues. Recent developments in Web-based implementations have…
Descriptors: Cognitive Style, Hypermedia, Individual Differences, Content Analysis
Ortigosa, Alvaro; Paredes, Pedro; Rodriguez, Pilar – Computers & Education, 2010
One of the main concerns when providing learning style adaptation in Adaptive Educational Hypermedia Systems is the number of questions the students have to answer. Most of the times, adaptive material available will discriminate among a few categories for each learning style dimension. Consequently, it is only needed to take into account the…
Descriptors: Cognitive Style, Questionnaires, Hypermedia, Educational Technology
Chen, Chih-Ming; Tsai, Yen-Nung – Computers & Education, 2012
Due to limited budgets and manpower, most elementary schools in Taiwan do not plan or provide library instruction for students. Although students can use libraries, they typically lack the knowledge needed to use library resources effectively. Consequently, students have difficulty finding the books they need and can easily become overwhelmed by…
Descriptors: Learning Theories, Cognitive Style, Elementary Schools, Libraries
Lorenzo, Gonzalo; Pomares, Jorge; Lledo, Asuncion – Computers & Education, 2013
This paper presents the use of immersive virtual reality systems in the educational intervention with Asperger students. The starting points of this study are features of these students' cognitive style that requires an explicit teaching style supported by visual aids and highly structured environments. The proposed immersive virtual reality…
Descriptors: Intervention, Learning Strategies, Cognitive Style, Asperger Syndrome
Hauptman, Hanoch; Cohen, Arie – Computers & Education, 2011
Students have difficulty learning 3D geometry; spatial thinking is an important aspect of the learning processes in this academic area. In light of the unique features of virtual environments and the influence of metacognitive processes (e.g., self-regulating questions) on the teaching of mathematics, we assumed that a combination of…
Descriptors: Learning Problems, Cognitive Style, Computer Simulation, Metacognition
Hsieh, Sheng-Wen; Jang, Yu-Ruei; Hwang, Gwo-Jen; Chen, Nian-Shing – Computers & Education, 2011
Ubiquitous learning (u-learning), in conjunction with supports from the digital world, is recognized as an effective approach for situating students in real-world learning environments. Earlier studies concerning u-learning have mainly focused on investigating the learning attitudes and learning achievements of students, while the causations such…
Descriptors: Cognitive Style, Teaching Styles, Teacher Characteristics, Ecology
Lai, Chun; Wang, Qiu; Lei, Jing – Computers & Education, 2012
A sound understanding of technology use from the learners' perspective is crucial. This study intends to contribute to our understanding on student technology use by focusing on identifying the factors that influence students' adoption of technology for learning and the relationships between these factors. Students studying at a Hong Kong…
Descriptors: Undergraduate Students, Foreign Countries, Educational Technology, Teaching Methods
Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
Mampadi, Freddy; Chen, Sherry Y.; Ghinea, Gheorghita; Chen, Ming-Puu – Computers & Education, 2011
In the past decade, a number of adaptive hypermedia learning systems have been developed. However, most of these systems tailor presentation content and navigational support solely according to students' prior knowledge. On the other hand, previous research suggested that cognitive styles significantly affect student learning because they refer to…
Descriptors: Cognitive Style, Student Attitudes, Computer Assisted Instruction, Prior Learning
E-Learning Personalization Based on Hybrid Recommendation Strategy and Learning Style Identification
Klasnja-Milicevic, Aleksandra; Vesin, Boban; Ivanovic, Mirjana; Budimac, Zoran – Computers & Education, 2011
Personalized learning occurs when e-learning systems make deliberate efforts to design educational experiences that fit the needs, goals, talents, and interests of their learners. Researchers had recently begun to investigate various techniques to help teachers improve e-learning systems. In this paper, we describe a recommendation module of a…
Descriptors: Electronic Learning, Experimental Groups, Control Groups, Cognitive Style
Calvani, Aomina; Fini, Antonio; Ranieri, Maria; Picci, Patrizia – Computers & Education, 2012
Digital competences amongst the younger generations and the role of schools faced with the spread of new youth practices are topics of increasing interest. Some commentators state that, thanks to the intensive use of digital media, young people are developing significant competences that also correspond to important cognitive processes and new…
Descriptors: Intervention, Student Attitudes, Adolescents, Cognitive Processes