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Chun-Chun Chang – Journal of Computer Assisted Learning, 2024
Background: Cultivating students' problem-solving knowledge and skills in the workspace has been regarded as a primary goal in technical and vocational education. To this end, students are usually guided to complete the learning of workspace knowledge and skills by following the question, prompt, interaction and evaluation (QPIE) procedure.…
Descriptors: Computer Simulation, Questioning Techniques, Evaluation Methods, Vocational Education
Liberman, Liat; Dubovi, Ilana – Journal of Computer Assisted Learning, 2023
Background: Virtual reality (VR) is considered a promising approach to support learning. An instructional design is essential to optimize cognitive processes. Studies show that VR has unique instructional and pedagogical requirements. Objectives: To evaluate the effectiveness and applicability of the modality principle, which was previously…
Descriptors: Eye Movements, Retention (Psychology), Computer Simulation, Instructional Design
Magana, Alejandra J.; Vieira, Camilo; Fennell, Hayden W.; Roy, Anindya; Falk, Michael L. – Cognition and Instruction, 2020
Modeling is an important element of discovery and design processes because it can help individuals to comprehend and facilitate solutions to problems, mediate among mental and external representations, and off-load cognitive demands. However, engaging in model generation, comprehension, and transformation requires the orchestration of domain…
Descriptors: Undergraduate Students, Problem Solving, Barriers, Simulation
Tatli, Zeynep; Altinisik, Derya; Sen, Hasan; Çakiroglu, Ünal – International Journal of Virtual and Personal Learning Environments, 2021
The aim of study is to compare the contributions of virtual and real museum tours in terms of perceived presence and knowledge retention. The sample of study which was 28 third graders enrolled in a public primary school in an informal instructional process. There were two groups (virtual group and real group); one visited virtual museum (n=14),…
Descriptors: Learning Processes, Computer Simulation, Retention (Psychology), Grade 3
Watson, Sandy White; Dubrovskiy, Anton V.; Peters, Michelle L. – Chemistry Education Research and Practice, 2020
The purpose of this quasi-experimental non-equivalent pretest posttest control group research was to determine whether or not the use of a collaborative pH computer simulation has an impact on the knowledge, confidence, and conceptual understanding of fundamental pH concepts for undergraduate Chemistry II students. A purposeful sample of 59…
Descriptors: Chemistry, Science Instruction, Comparative Analysis, Undergraduate Students
Ojo, Ayodeji Temitope – International Online Journal of Primary Education, 2020
This study was designed to determine the effect of computer simulation instructional strategy on primary school pupils' achievement in basic science in Akure township in Ondo state, Nigeria. Constructivist theory was used as the framework, while the study adopted pretest-posttest control group quasi-experimental design. Four primary schools were…
Descriptors: Computer Simulation, Teaching Methods, Science Achievement, Science Tests
Schumaker, Jean B.; Fisher, Joseph B.; Walsh, Lisa D.; Lancaster, Paula E. – Learning Disabilities Research & Practice, 2020
In each of two studies, teachers were randomly assigned to either a Virtual Workshop (VW) group that used a computerized professional development program or an Actual Workshop (AW) group that participated in face-to-face professional development, including discussion, feedback, and collaboration. In both studies, teachers' posttest scores related…
Descriptors: Teacher Workshops, Computer Simulation, Faculty Development, Feedback (Response)
Yang, Kexin Bella; Echeverria, Vanessa; Wang, Xuejian; Lawrence, LuEttaMae; Holstein, Kenneth; Rummel, Nikol; Aleven, Vincent – International Educational Data Mining Society, 2021
Constructing effective and well-balanced learning groups is important for collaborative learning. Past research explored how group formation policies affect learners' behaviors and performance. With the different classroom contexts, many group formation policies work in theory, yet their feasibility is rarely investigated in authentic class…
Descriptors: Grouping (Instructional Purposes), Cooperative Learning, Teaching Methods, Kindergarten
Takagi, Daisuke; Hayashi, Megumi; Iida, Takatoshi; Tanaka, Yohei; Sugiyama, Shuntaro; Nishizaki, Hitomi; Morimoto, Yoshinari – Educational Gerontology, 2019
Observation training of home dental practice is easily influenced by the site and time, and differences in learning content are likely to occur among students. The aim of the present study is to prototype virtual reality (VR) teaching material for home dental practice to provide dental students with the chance to observe patients receiving home…
Descriptors: Computer Simulation, Dental Schools, Dentistry, Dental Health
He, Qiliang; McNamara, Timothy P.; Bodenheimer, Bobby; Klippel, Alexander – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
In the current study, we investigated the ways in which the acquisition and transfer of spatial knowledge were affected by (a) the type of spatial relations predominately experienced during learning (routes determined by walkways vs. straight-line paths between locations); (b) environmental complexity; and (c) the availability of rotational…
Descriptors: Transfer of Training, Spatial Ability, Computer Simulation, Retailing
Webster, Rustin – Interactive Learning Environments, 2016
The author investigated the interaction effect of immersive virtual reality (VR) in the classroom. The objective of the project was to develop and provide a low-cost, scalable, and portable VR system containing purposely designed and developed immersive virtual learning environments for the US Army. The purpose of the mixed design experiment was…
Descriptors: Virtual Classrooms, Knowledge Level, Comparative Analysis, Lecture Method
Chabalengula, Vivien; Fateen, Rasheta; Mumba, Frackson; Ochs, Laura Kathryn – Journal of Computers in Mathematics and Science Teaching, 2016
This study investigated the effect of an inquiry-based computer simulation modeling (ICoSM) instructional approach on pre-service science teachers' understanding of homeostasis and its related concepts, and their perceived design features of the ICoSM and simulation that enhanced their conceptual understanding of these concepts. Fifty pre-service…
Descriptors: Inquiry, Computer Simulation, Preservice Teachers, Concept Formation
Gunn, Therese; Jones, Lee; Bridge, Pete; Rowntree, Pam; Nissen, Lisa – Interactive Learning Environments, 2018
In recent years, simulation has increasingly underpinned the acquisition of pre-clinical skills by undergraduate medical imaging (diagnostic radiography) students. This project aimed to evaluate the impact of an innovative virtual reality (VR) learning environment on the development of technical proficiency by students. The study assessed the…
Descriptors: Computer Simulation, Medical Students, Simulated Environment, Educational Technology
Fuhrmann, Tamar; Schneider, Bertrand; Blikstein, Paulo – International Journal of Science Education, 2018
The Bifocal Modelling Framework (BMF) is an approach for science learning which links students' physical experimentation with computer modelling in real time, focusing on the comparison of the two media. In this paper, we explore how a Bifocal Modelling implementation supported learning outcomes related to both content and metamodeling knowledge,…
Descriptors: High School Students, Science Instruction, Models, Outcomes of Education
Klingler, Severin; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2015
Modeling student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for modeling the acquisition of knowledge is Bayesian Knowledge Tracing (BKT). Various extensions to the original BKT model have been proposed, among them two novel models that unify BKT and Item Response Theory (IRT). Latent Factor Knowledge…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Item Response Theory, Prediction