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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
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El Aissaoui, Ouafae; El Alami El Madani, Yasser; Oughdir, Lahcen; El Allioui, Youssouf – Education and Information Technologies, 2019
Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and questionnaires. This approach presents several weaknesses including the lack of self-awareness of…
Descriptors: Classification, Cognitive Style, Models, Electronic Learning
Reima Al-Jarf – Online Submission, 2024
Multimodal learning refers to teaching strategies that involve multiple sensory systems simultaneously. Teachers can create materials for students with different learning styles (auditory, visual, kinesthetic reading, and writing). Multimodal learning keeps students engaged, encourages them to apply what they learn in real-life situations,…
Descriptors: Grammar, Multimedia Instruction, Problem Solving, Student Projects
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Banire, Bilikis; Jomhari, Nazean; Ahmad, Rodina – Journal of Autism and Developmental Disorders, 2015
The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid…
Descriptors: Autism, Children, Visual Learning, Instructional Design
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Evale, Digna S. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: This study is an attempt to enhance the existing learning management systems today through the integration of technology, particularly with educational data mining and recommendation systems. Background: It utilized five-year historical data to find patterns for predicting student performance in Java Programming to generate…
Descriptors: Integrated Learning Systems, Technology Integration, Educational Technology, Technology Uses in Education
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Tran, Xuan; Williams, Janae; Mitre, Bridget; Walker, Victoria; Carter, Kala – Journal of Teaching in International Business, 2017
Purpose: The purpose of this study is to develop a model of motives and career choice based on learning styles in order to apply the model in teaching business. Although the relationship between learning and McClelland's (1961) three motives (achievement, affiliation, and power) as confirmed that motives are "learned," little research…
Descriptors: Cognitive Style, Career Choice, Models, Teaching Methods
Angeli, Charoula; Valanides, Nicos; Polemitou, Eirini; Fraggoulidou, Elena – International Association for Development of the Information Society, 2014
The study examined the interaction between field dependence-independence (FD/I) and learning with modeling software and simulations, and their effect on children's performance. Participants were randomly assigned into two groups. Group A first learned with a modeling tool and then with simulations. Group B learned first with simulations and then…
Descriptors: Cognitive Style, Computer Simulation, Models, Computer Uses in Education
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Hsu, Liwei – Computer Assisted Language Learning, 2016
This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…
Descriptors: Pronunciation, Pronunciation Instruction, Cognitive Style, Statistical Analysis
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Barakat, Asia; Othman, Afaf – Journal of Education and Practice, 2015
The present study aims to identify the relationship between the five-factor model of personality and its relationship to cognitive style (rush and prudence) and academic achievement among a sample of students. The study is based on descriptive approach for studying the relationship between the variables of the study, results and analysis. The…
Descriptors: Foreign Countries, Cognitive Style, Academic Achievement, Correlation
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Duran, E. B.; Amandi, A. – Interactive Learning Environments, 2011
Student models are crucial components in personalised distance learning environments. These models usually include individual characteristics such as the level of knowledge of a given topic, the learning style or the type of personality, the level of participation and so on. However, when the focus is on group activities, these learning…
Descriptors: Cognitive Style, Individual Characteristics, Group Activities, Knowledge Level
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Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
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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
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Sommer, Lutz – Electronic Journal of Research in Educational Psychology, 2013
Introduction: The paper at hand examines the influence of Cognitive Style (CS) and International Experience (IE) on International Entrepreneurial Self-Efficacy (IESE) and International Entrepreneurial Intention (IEI) as well as the role of Academic Education (AE) in this context. Method: Based on a survey that was conducted among 111 students the…
Descriptors: Entrepreneurship, Cognitive Style, Academic Education, Models
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Lau, Wilfred W. F.; Yuen, Allan H. K. – Computers & Education, 2010
It has been advocated that pedagogical content knowledge as well as subject matter knowledge are important for improving classroom instructions. To develop pedagogical content knowledge, it is argued that understanding of students' mental representations of concepts is deemed necessary. Yet assessing and comparing mental model of each individual…
Descriptors: Identification, Mathematics Instruction, Pedagogical Content Knowledge, Cognitive Style
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Othman, Mahfudzah; Othman, Muhaini – Turkish Online Journal of Distance Education, 2012
This paper discusses the proposed model of the collaborative virtual learning system for the introductory computer programming course which uses one of the collaborative learning techniques known as the "Think-Pair-Share". The main objective of this study is to design a model for an online learning system that facilitates the…
Descriptors: Foreign Countries, Electronic Learning, Cognitive Style, Computer Assisted Instruction
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