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Namdar, Bahadir; Shen, Ji – Interactive Learning Environments, 2018
Computer-supported collaborative learning (CSCL) environments provide learners with multiple representational tools for storing, sharing, and constructing knowledge. However, little is known about how learners organize knowledge through multiple representations about complex socioscientific issues. Therefore, the purpose of this study was to…
Descriptors: Knowledge Management, Computer Assisted Instruction, Cooperative Learning, Science and Society
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Pribeanu, Costin; Balog, Alexandru; Iordache, Dragos Daniel – Interactive Learning Environments, 2017
Augmented reality (AR) technologies could enhance learning in several ways. The quality of an AR-based educational platform is a combination of key features that manifests in usability, usefulness, and enjoyment for the learner. In this paper, we present a multidimensional model to measure the quality of an AR-based application as perceived by…
Descriptors: Computer Simulation, Educational Technology, Measurement, Educational Quality
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Lahav, Orly; Hagab, Noha; Levy, Sharona Tal; Talis, Vadim – Interactive Learning Environments, 2019
Access to curriculum learning materials is a central need for students who are blind. This research examined the use of Listening-to-Complexity (L2C) based on NetLogo, an agent-based modeling language enabling exploration and construction of models of complex systems. L2C, designed for users who are blind, provides several auditory streams…
Descriptors: Blindness, STEM Education, Computer Assisted Instruction, Accessibility (for Disabled)
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Huang, Chenn-Jung; Chang, Shun-Chih; Chen, Heng-Ming; Tseng, Jhe-Hao; Chien, Sheng-Yuan – Interactive Learning Environments, 2016
Structured argumentation support environments have been built and used in scientific discourse in the literature. However, to the best our knowledge, there is no research work in the literature examining whether student's knowledge has grown during learning activities with asynchronous argumentation. In this work, an intelligent computer-supported…
Descriptors: Learning Activities, Cooperative Learning, Natural Sciences, Science Education
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Baloian, Nelson; Pino, Jose A.; Hardings, Jens – Interactive Learning Environments, 2011
The discovery or re-construction of scientific explanations and understanding based on experience is a complex process, for which school learning often uses shortcuts. On the basis of the example of analyzing real seismic measurements, we propose a computer-facilitated collaborative learning scenario which meets many of the requirements for…
Descriptors: Computer Assisted Instruction, Seismology, Educational Environment, Models
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Murray, Tom; And Others – Interactive Learning Environments, 1990
Describes an intelligent tutoring system designed to help students remedy misconceptions of physics concepts based on a teaching strategy called bridging analogies. Highlights include tutoring strategies; misconceptions in science education; the example situation network; confidence checking; formative evaluation with college students, including…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Confidence Testing, Formative Evaluation
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Newman, Denis; And Others – Interactive Learning Environments, 1993
Discusses the integration of technology into the curriculum and how to design an interactive technological learning environment based on the concept of scientific sense-making. Highlights include the importance of sense-making in science education and an experiment on curriculum design for a fifth- to sixth-grade unit on seasonal change. (Contains…
Descriptors: Computer Assisted Instruction, Computer Networks, Computer Simulation, Curriculum Development