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Davis, Phillip E.; Fox, Corey J.; DeBode, Jason D.; Peterson, Lori T. – Journal of Educational Computing Research, 2021
A key challenge for educators in business is to incorporate learning tools that mimic the uncertainty and complexity of the real business environment. However, recent advancements in technology have offered new tools that address this challenge. One such increasingly popular tool has been computer simulations. While the use of simulations has…
Descriptors: Competence, Success, Goal Orientation, Achievement Need
Bos, Andreia S.; Herpich, Fabrício; Kuhn, Igor; Guarese, Renan L. M.; Tarouco, Liane M. R.; Zaro, Milton A.; Pizzato, Michelle; Wives, Leandro – Journal of Educational Computing Research, 2019
In the course of a teaching and learning process, different cognitive skills are required for a student. Attention is an important variable to be measured, since it plays a fundamental role in the accumulation of information with the stimulus of the learner's memory in the course of the assimilation of knowledge. The purpose of this article is to…
Descriptors: Educational Technology, Attention, Computer Simulation, Simulated Environment
Weng, Cathy; Otanga, Sarah; Christianto, Samuel Michael; Chu, Regina Ju-Chun – Journal of Educational Computing Research, 2020
The purpose of this study was to investigate the effects of augmented reality (AR) technology on students' learning outcomes (measured according to Bloom's cognitive levels) and attitude toward biology. The print book was redesigned by integrating a form of AR into it. A quasi-experimental pretest and posttest designs were used to test the…
Descriptors: Science Instruction, Biology, Computer Simulation, Physical Environment
Tomara, Marina; Gouscos, Dimitris – Journal of Educational Computing Research, 2019
In this work, we describe an educational approach based on augmented reality (AR) and mobile technology that has been developed with the aim to engage students in a learning procedure regarding the electric forces as well as Coulomb's Law. Initially, we present the AR learning environment and we explain its design principles with respect to the…
Descriptors: Computer Simulation, Simulated Environment, Handheld Devices, Science Education
Klippel, Alexander; Zhao, Jiayan; Jackson, Kathy Lou; La Femina, Peter; Stubbs, Chris; Wetzel, Ryan; Blair, Jordan; Wallgrün, Jan Oliver; Oprean, Danielle – Journal of Educational Computing Research, 2019
The value of field trips is undisputed across disciplines. Field-site visits whether in social or physical sciences provide grounding for place- and discovery-based learning. Yet field trips have limitations that can now be overcome by the promise of immersive technologies that can improve quality and accessibility. This promise is twofold: First,…
Descriptors: Earth Science, Science Education, Field Trips, Educational Technology
Chen, Hsiu-Ling; Liao, Yen-Chun – Journal of Educational Computing Research, 2022
Digital learning has become an inevitable trend with many benefits for students' learning performance and motivation. However, Virtual Reality, a pervasive mode of digital learning nowadays, has incurred ambivalence among teachers over the years due to its high cost and other technical concerns. Panoramic image VR (PIVR) is a cost-efficient…
Descriptors: Computer Simulation, Simulated Environment, Work Environment, Vocational High Schools
Tai, Tzu-Yu; Chen, Howard Hao-Jan – Journal of Educational Computing Research, 2021
Virtual reality via mobile-rendered head-mounted displays (MVR) has emerged as a valuable language learning tool. However, research has yet to fully access its effects on English as a Foreign Language (EFL) listening. Therefore, this study investigated the impact of MVR on EFL learners' listening comprehension. Seventy-two seventh graders in…
Descriptors: Computer Simulation, Simulated Environment, Instructional Effectiveness, English (Second Language)
Teng, Chin-Hung; Chen, Jr-Yi; Chen, Zhi-Hong – Journal of Educational Computing Research, 2018
Although the learning of programming language is critical in science and technology education, it might be difficult for some students, especially novices. One possible reason might be the fact that programming language, especially for three-dimensional (3D) applications, is too complex and abstract for these students to understand. Programming…
Descriptors: Computer Simulation, Simulated Environment, Programming, Computer Science Education
Weng, Cathy; Rathinasabapathi, Abirami; Weng, Apollo; Zagita, Cindy – Journal of Educational Computing Research, 2019
This study aimed to explore whether the integration of virtual reality and augmented reality used in a specially designed science book could improve the students' science concept learning outcomes. A true experimental research design was conducted to check the effectiveness of the specially designed book in terms of learners' achievement. The…
Descriptors: Science Instruction, Computer Simulation, Simulated Environment, Textbooks
Tsai, Fu-Hsing – Journal of Educational Computing Research, 2018
This study developed a computer-simulated science inquiry environment, called the Science Detective Squad, to engage students in investigating an electricity problem that may happen in daily life. The environment combined the simulation of scientific instruments and a virtual environment, including gamified elements, such as points and a story for…
Descriptors: Educational Technology, Technology Uses in Education, Science Education, Inquiry
Cheng, Kun-Hung – Journal of Educational Computing Research, 2017
With the increasing attention to the role of parents in children's learning, what issues parents consider and how they behave when learning with their children when confronted with the emerging augmented reality (AR) technology may be worth exploring. This study was therefore conducted to qualitatively understand parents' conceptions of AR…
Descriptors: Simulated Environment, Computer Simulation, Parent Role, Parent Attitudes
Mohamad Ali, Ahmad Zamzuri; Hamdan, Mohd Najib – Journal of Educational Computing Research, 2017
The aim of this study was to evaluate the effects of various realistic levels of talking-head on students' emotions in pronunciation learning. Four talking-head characters with varying levels of realism were developed and tested: a nonrealistic three-dimensional character, a realistic three-dimensional character, a two-dimensional character, and…
Descriptors: Emotional Response, Questionnaires, Quasiexperimental Design, Statistical Analysis
Ho, Tu-Kuang; Lin, Yu-Tzeng – Journal of Educational Computing Research, 2016
Group identity is a critical component in developing effective classroom management. While there have been numerous studies on group identity, they have primarily focused on its effects on the physical classroom entity. Advances in information technology, however, have enabled the creation of virtual communities, which have become a vital channel…
Descriptors: Group Dynamics, Classroom Techniques, Online Courses, Simulated Environment
Guo, Yan Ru; Goh, Dion Hoe-Lian – Journal of Educational Computing Research, 2015
Over the past decade, computer games and other interactive technologies have shown great potential when used in innovative ways to enhance learning. It is now known that learning is associated not only with cognitive ability but also with affect. The incorporation of affective embodied pedagogical agents (EPAs) in computer programs for learning…
Descriptors: Meta Analysis, Affective Behavior, Educational Technology, Instructional Effectiveness
Craig, Scotty D.; Twyford, Jessica; Irigoyen, Norma; Zipp, Sarah A. – Journal of Educational Computing Research, 2015
Virtual humans are becoming an easily available and popular component of multimedia learning that are often used in online learning environments. There is still a need for systematic research into their effectiveness. The current study investigates the positioning of a virtual human's gestures when guiding the learner through a multimedia…
Descriptors: Multimedia Instruction, Multimedia Materials, Simulated Environment, Electronic Learning