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Chang-Tik, Chan – Interactive Learning Environments, 2018
In this research, a survey method utilising questionnaires and focus group interviews was employed to determine correlations between students' learning styles and each of the presences in the CoI Framework across disciplines as well as students' blended learning experience. To this end, the linear regression model was the statistical approach used…
Descriptors: Cognitive Style, Communities of Practice, Interdisciplinary Approach, Blended Learning
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Chen, Chia-Chen; Chen, Chien-Yi – Interactive Learning Environments, 2018
In recent years, mobile technology has been developing rapidly and has been widely used. There are many successful cases of mobile technology applied greatly in today's teaching and even combined with sensing devices to overcome the limitations of traditional learning environment. In order to make teaching more diversified, teachers currently…
Descriptors: Museums, Cognitive Style, Academic Achievement, Handheld Devices
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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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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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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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Wongwatkit, Charoenchai; Srisawasdi, Niwat; Hwang, Gwo-Jen; Panjaburee, Patcharin – Interactive Learning Environments, 2017
The advancement of computer and communication technologies has enabled students to learn across various real-world contexts with supports from the learning system. In the meantime, researchers have emphasized the necessity of providing personalized learning guidance or support by considering individual students' status and needs in order to…
Descriptors: Electronic Learning, Web Based Instruction, Educational Diagnosis, Formative Evaluation
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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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Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Lin, Chien-Yu; Hsu, Hsiu-Ling – Interactive Learning Environments, 2015
This study focused on an intelligent robot which was viewed as a language teaching/learning tool to improve children's reading ability, reading interest, and learning behavior. The iRobiQ, with its multimedia contents, was employed to encourage children to read, speak, and answer questions. Fifty-seven pre-kindergarteners participated in this…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Reading Ability
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Chen, Chih-Ming – Interactive Learning Environments, 2013
Despite rapid and continued adoption of mobile devices, few learning modes integrate with mobile technologies and libraries' environments as innovative learning modes that emphasize the key roles of libraries in facilitating learning. In addition, some education experts have claimed that transmitting knowledge to learners is not the only…
Descriptors: Problem Based Learning, Books, Electronic Learning, Maps
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Filippidis, Stavros K.; Tsoukalas, Ioannis A. – Interactive Learning Environments, 2009
An adaptive educational system that uses adaptive presentation is presented. In this system fragments of different images present the same content and the system can choose the one most relevant to the user based on the sequential-global dimension of Felder-Silverman's learning style theory. In order to retrieve the learning style of each student…
Descriptors: Cognitive Style, Questionnaires, Instructional Materials, Statistical Analysis