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Maimaiti, Gulipari; Jia, Chengyuan; Hew, Khe Foon – Interactive Learning Environments, 2023
The COVID-19 pandemic has forced many educators and students to embrace a "new normal" in learning that relies on online-learning approaches to alleviate the disruptions caused by the outbreak. In this context, the use of Web-based videoconferencing supported online lessons (WVCOL) has been offered as a solution to provide a learning…
Descriptors: Learner Engagement, Web Based Instruction, Videoconferencing, Electronic Learning
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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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Chuang, Chien-Pen; Jou, Min; Lin, Yen-Ting; Lu, Cheng-Tien – Interactive Learning Environments, 2015
Electronic engineering industries require technical specialists to operate precision electronic instruments. However, limitations in course designs and equipment availability mean that only a few students are able to use the equipment in practical lessons within a limited timeframe. Also, instruction of techniques and skills are still mostly…
Descriptors: Foreign Countries, Engineering Education, Technical Education, Context Effect
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Jou, Min; Lin, Yen-Ting; Wu, Din-Wu – Interactive Learning Environments, 2016
With the development of information technology and popularization of web applications, students nowadays have grown used to skimming through information provided through the Internet. This reading habit led them to be incapable of analyzing or integrating information they have received. Hence, knowledge management and critical thinking (CT) have,…
Descriptors: Blended Learning, Critical Thinking, Educational Environment, Teaching Methods
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Capuruco, Renato A. C.; Capretz, Luiz F. – Interactive Learning Environments, 2009
There have been a number of frameworks and models developed to support different aspects of interactive learning. Some were developed to deal with course design through the application of authoring tools, whereas others such as conversational, advisory, and ontology-based systems were used in virtual classrooms to improve and support collaborative…
Descriptors: Learning Activities, Web Based Instruction, Online Courses, Computer Assisted Instruction
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Kenny, Claire; Pahl, Claus – Interactive Learning Environments, 2009
Active learning facilitated through interactive and adaptive learning environments differs substantially from traditional instructor-oriented, classroom-based teaching. We present a web-based e-learning environment that integrates knowledge learning and skills training. How these tools are used most effectively is still an open question. We…
Descriptors: Feedback (Response), Active Learning, Educational Technology, Evaluation Methods
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Falconer, Liz – Interactive Learning Environments, 2008
Metaphor appears to be an innate tendency in human communication and can be shown to have significant potential when applied to the design of online learning environments. This paper describes and discusses an example of an online research methods learning resource that employs metaphoric navigation. Feedback from the tutors who design and…
Descriptors: Feedback (Response), Neurological Impairments, Autism, Figurative Language
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Smits, Marieke H. S. B.; Boon, Jo; Sluijsmans, Dominique M. A.; van Gog, Tamara – Interactive Learning Environments, 2008
This study investigated the effectiveness of different types of feedback content (elaborate versus global) and feedback timing (immediate versus delayed) for learning genetics in a web-based learning environment as a function of learners' prior knowledge. It was hypothesized that learning outcomes of students with low prior knowledge would be…
Descriptors: Feedback (Response), Student Attitudes, Computer Assisted Instruction, Prior Learning