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Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
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Bahari, Akbar – Interactive Learning Environments, 2023
Second language teaching approaches that were originally proposed for classroom context are used for blended learning context as well as distance learning contexts regardless of their fundamental differences in terms of applicability, accessibility, objectives, designs and theoretical bases. Such theoretical and practical incompatibilities served…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Second Language Learning, English (Second Language)
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Chen, Mei-Rong Alice; Hwang, Gwo-Jen – Interactive Learning Environments, 2022
English speaking is a challenging learning objective for EFL (English as Foreign Language) learners owing to the lack of practicing environments. In this study, Interactive Spherical Video-based Virtual Reality (ISVVR) was adopted as the learning mode to provide realistic sociocultural contexts for English speaking. In addition, an experiment was…
Descriptors: English (Second Language), Educational Technology, Computer Simulation, Program Effectiveness
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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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Chin, Kai-Yi; Lee, Ko-Fong; Chen, Yen-Lin – Interactive Learning Environments, 2018
This paper proposes a novel interactive ubiquitous learning system (IULS) for authentically teaching a cultural heritage course and imparting relevant concepts to students. Experimental results demonstrated that learning performance was significantly improved after students used the IULS. This study also demonstrated that students using the IULS…
Descriptors: Heritage Education, Cultural Background, Electronic Learning, Educational Technology
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Chen, Chih-Ming; Tan, Chia-Chen; Lo, Bey-Jane – Interactive Learning Environments, 2016
Oral reading fluency is an indicator of overall reading competence. Many studies have claimed that repeated reading can promote oral reading fluency. Currently, novel Web- or computer-based reading technologies offer interactive digital materials that promote English oral reading fluency using the repeated reading strategy; however, paper-based…
Descriptors: English Language Learners, Oral Reading, Reading Fluency, Educational Technology
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Chen, Bryan H.; Chiou, Hua-Huei – Interactive Learning Environments, 2014
The purpose of this study is to investigate how hybrid learning instruction affects undergraduate students' learning outcome, satisfaction and sense of community. The other aim of the present study is to examine the relationship between students' learning style and learning conditions in mixed online and face-to-face courses. A quasi-experimental…
Descriptors: Blended Learning, Cognitive Style, Educational Technology, Conventional Instruction
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Hsu, Ching-Kun; Hwang, Gwo-Jen – Interactive Learning Environments, 2014
Personal computer assembly courses have been recognized as being essential in helping students understand computer structure as well as the functionality of each computer component. In this study, a context-aware ubiquitous learning approach is proposed for providing instant assistance to individual students in the learning activity of a…
Descriptors: Electronic Learning, Educational Technology, Comparative Analysis, Conventional Instruction
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Schellens, T.; Van Keer, H.; De Wever, B.; Valcke, M. – Interactive Learning Environments, 2009
The present study focuses on the use of thinking types as a possible way to structure university students' discourse in asynchronous discussion groups and consequently promote their learning. More specifically, the aim of the study is to determine how requiring students to label their contributions by means of De Bono's (1991) thinking hats…
Descriptors: Discussion Groups, Identification, Critical Thinking, Thinking Skills
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Yannibelli, Virginia; Godoy, Daniela; Amandi, Analia – Interactive Learning Environments, 2006
Learning styles encapsulate the preferences of the students, regarding how they learn. By including information about the student learning style, computer-based educational systems are able to adapt a course according to the individual characteristics of the students. In accomplishing this goal, educational systems have been mostly based on the…
Descriptors: Student Characteristics, Mathematical Models, Genetics, Educational Technology
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Olaniran, Bolanle A. – Interactive Learning Environments, 2009
This article explores Web 2.0 in interactive learning environments. Specifically, the article examines Web 2.0 as an interactive learning platform that holds potential, but is also limited by learning styles and cultural value preferences. The article explores the issue of control from both teacher and learner perspectives, and in particular the…
Descriptors: Learner Controlled Instruction, Cognitive Style, Values, Cultural Influences