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Kristal Lee; John McInerney – Interactive Learning Environments, 2024
Simulation has an ever-increasing role in health professions' education, however there is limited evidence on the transferability of learning to practice. In this study, a pragmatic approach using a convergent mixed methods design explored the use of a virtual high-fidelity Computed Tomography (CT) simulator in preparing students for clinical…
Descriptors: Simulation, Radiology, Transfer of Training, Foreign Countries
Vlasios Kasapakis; Elena Dzardanova; Spyros Vosinakis; Androniki Agelada – Interactive Learning Environments, 2024
Non-Verbal Cues (NVCs) add to communication effectiveness among individuals in both real and virtual world. Thus, NVCs transference between the two receives increased attention from both the industry and research community. Their efforts lead to sophisticated technological solutions which allow high fidelity NVCs to be transferred from real…
Descriptors: Sign Language, Nonverbal Communication, Cues, Computer Simulation
Tang, Anne L. L.; Tung, Vincent Wing Sun; Cheng, Tiffany O. – Interactive Learning Environments, 2023
There is increasing interest in the potential use of educational robotics (ER) in higher education. Few studies have considered teachers' perceptions of using ER outside science and engineering. This qualitative research aims to investigate university teachers' perceived opportunities and challenges of using ER in management education from three…
Descriptors: Teacher Attitudes, Administrator Education, Educational Technology, Robotics
Cathy Weng; Kifle Kassaw; Melese Astatke; Chichuan Yang – Interactive Learning Environments, 2024
This review examined the impact of online learning environments (OLE) on acquiring transferable skills (TS) through an analysis of 31 papers from the Web of Science database. Significant attention is given to critical thinking and communication skills, with moderate consideration given to creativity, problem-solving, and cooperation skills. Lesser…
Descriptors: Electronic Learning, Educational Environment, Transfer of Training, Skill Development
Bin Jing; Jinrong Liu; Xue Gong; Yangli Zhang; Haojie Wang; Changcheng Wu – Interactive Learning Environments, 2024
An increasing number of MOOCs use learning videos featuring an instructor and slides, but there are few specific guidelines for the design of instructor images for these videos. A pedagogical agent (PA) is a kind of virtual instructor image in a learning video, and its image design is mostly guided by anthropomorphism. Our research attempts to…
Descriptors: Video Technology, Educational Technology, MOOCs, Imagery
Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Interactive Learning Environments, 2023
This paper presents the design and initial learning research with the MMM modeling platform, seeking to advance middle school students' learning through constructing computational models of complex physical and chemical systems. A complexity-based structure of an MMM interface is introduced. It suggests that a complex system can be described and…
Descriptors: Motion, Chemistry, Physics, Grade 7
Marta-Lazo, Carmen; Frau-Meigs, Divina; Osuna-Acedo, Sara – Interactive Learning Environments, 2019
This research reviews the formative model of the sMOOCs (social MOOC) characterized by the interaction and the implication of the participants who, relying on collective intelligence, look for the co-creation of knowledge in every educational action. The fieldwork focuses on the analysis of the "Step by Step" sMOOC of ECO Project (the…
Descriptors: Foreign Countries, Cooperative Learning, Lifelong Learning, Online Courses
Cai, Su; Zhu, Gaoxia; Wu, Ying-Tien; Liu, Enrui; Hu, Xiaoyi – Interactive Learning Environments, 2018
Children with Autism Spectrum Disorder (ASD) perform poorly in complex fine motor skills and recognition, and they have difficulties in learning complex and multistep motor skills. Gestures-based games, which enable users to get timely feedback, to learn from failure, to engage in games at every moment, and to interact with computers intuitively…
Descriptors: Autism, Pervasive Developmental Disorders, Psychomotor Skills, Nonverbal Communication
Huang, Xiaoxia – Interactive Learning Environments, 2017
Previous research has indicated the disconnect between example-based research focusing on worked examples (WEs) and that focusing on modeling examples. The purpose of this study was to examine and compare the effect of four different types of examples from the two separate lines of research, including standard WEs, erroneous WEs, expert (masterly)…
Descriptors: Teaching Methods, Problem Solving, Academic Achievement, Cognitive Processes
Damnik, Gregor; Proske, Antje; Körndle, Hermann – Interactive Learning Environments, 2017
When teachers or instructors create computer-based learning environments, they often solely consider technical aspects of interactivity. As a consequence, learners' main role is to respond to requests of the learning environment (e.g. by answering multiple-choice questions). This aspect of interactivity is, however, not sufficient to understand…
Descriptors: Learning Activities, Constructivism (Learning), Interaction, Perspective Taking
van den Berge, Kees; van Gog, Tamara; Mamede, Silvia; Schmidt, Henk G.; van Saase, Jan L. C. M.; Rikers, Remy M. J. P. – Interactive Learning Environments, 2013
Research has shown that for acquiring problem-solving skills, instruction consisting of studying worked examples is more effective and efficient for novice learners than instruction consisting of problem-solving. This study investigated whether worked examples would also be a useful instructional format for the acquisition of visual perceptual…
Descriptors: Skill Development, Visual Perception, Diagnostic Tests, Heart Disorders
Zitter, Ilya; de Bruijn, Elly; Simons, Robert-Jan; ten Cate, Olle – Interactive Learning Environments, 2012
We study project-based, technology-enhanced learning environments in higher education, which should produce, by means of specific mechanisms, learning outcomes in terms of transferable knowledge and learning-, thinking-, collaboration- and regulation-skills. Our focus is on the role of objects from professional practice serving as boundary objects…
Descriptors: Foreign Countries, Educational Technology, Instructional Design, Computer Mediated Communication
Peer reviewedMitchell, Christine M.; Govindaraj, T. – Interactive Learning Environments, 1990
Discusses the use of intelligent tutoring systems as opposed to traditional on-the-job training for training operators of complex dynamic systems and describes the computer architecture for a system for operators of a NASA (National Aeronautics and Space Administration) satellite control system. An experimental evaluation with college students is…
Descriptors: Analysis of Variance, Artificial Intelligence, Computer Assisted Instruction, Computer Simulation
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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