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Cynthia Y. Delgado; Richard E. Mayer – Journal of Educational Computing Research, 2025
This study examined whether answering focused explanative questions during pauses in an immersive virtual reality (IVR) lesson on pipetting procedures could enhance learning. The goal was to take a generative learning activity, known to be effective for declarative knowledge with conventional media, to the context of procedural knowledge with…
Descriptors: Computer Simulation, Computer Uses in Education, Laboratory Procedures, Learning Activities
Ling Wu; Shuxin Wang – Education and Information Technologies, 2025
Contemporary technological advancements offer new possibilities for enhancing user creativity. We aimed to explore how technology can boost student creativity to meet the twenty-first century's demand for innovative talent. Based on the 4P model of creativity (person, process, product, and press) and constructivist theory, a virtual reality (VR)…
Descriptors: Computer Simulation, Brain, Biofeedback, Creativity
Daniel Laumann; Paul Schlummer; Adrian Abazi; Rasmus Borkamp; Jonas Lauströer; Wolfram Pernice; Carsten Schuck; Reinhard Schulz-Schaeffer; Stefan Heusler – Journal of Science Education and Technology, 2024
For nearly two decades, augmented reality (AR) has found diverse applications in education, particularly in science education, where its efficacy has been supported by relevant theories and many empirical studies. However, previous studies have revealed the following research deficit: While AR technology appears to influence learning-related…
Descriptors: Computer Simulation, Physics, Science Laboratories, Science Experiments
Ajay Shankar Tiwari; Kaushal Kumar Bhagat – Australasian Journal of Educational Technology, 2024
This study examined the impact of augmented reality (AR) on engineering education, focusing on spatial visualisation skills and cognitive load in an engineering drawing course. The research is based on cognitive load theory and spatial visualisation frameworks. It compares three AR methods--marker-based (MBAR), markerless (MLAR) and Web-based…
Descriptors: Computer Simulation, Engineering Education, Drafting, Visualization
Rui Zhu – Educational Technology & Society, 2024
With an increase in interactions with non-human agents, understanding and forecasting the consequences of human interactions with them have become increasingly crucial. The present study focused on a subset of non-human agents known as virtual characters. To investigate whether people respond in the same way to a virtual character as they do to a…
Descriptors: Foreign Countries, College Students, Computer Simulation, Interpersonal Relationship
Kai-Yi Chin; Ching-Sheng Wang – Interactive Learning Environments, 2024
This study developed a VR-based mobile learning system to simulate the natural environment of a geopark for university students to learn geological knowledge. This learning method used a Google cardboard equipped with smartphones, where students can watch stereoscopic scenes and experience virtual environments as if visiting the geopark. In order…
Descriptors: Foreign Countries, Computer Simulation, Handheld Devices, Geology
Xiaozhe Yang; Pei-Yu Cheng; Xin Liu; Sheng-Pao Shih – Education and Information Technologies, 2024
This paper presents a new art metaverse prototype, constructed using virtual reality technology to create an immersive scene with a specific artistic style and integrate virtual avatar technology to allow interaction with characters in the art painting. Ninety-six college students participated in the study, divided into two groups: the virtual…
Descriptors: Computer Simulation, Simulated Environment, Art Education, Technology Uses in Education
Xiaoxia Huang; Qin Zhao; Yang Liu; Desmond Harris; Melissa Shawler – Journal of Educational Technology Systems, 2024
In an immersive virtual reality (IVR) environment, this study investigated: (1) the role of learner characteristics in various learning and psychological outcomes, including knowledge retention, perceived learning, cognitive load, self-efficacy, enjoyment, presence, and usefulness; and (2) the relationship among these intended outcomes. Forty…
Descriptors: College Students, Adults, Computer Simulation, Forestry
Wang, Wei-Tsong; Lin, Ying-Lien; Lu, Hsin-En – Education and Information Technologies, 2023
Students are commonly in a high cognitive load state when they encounter sophisticated knowledge. Whether the novel augmented reality (AR) technology can be utilized in an online learning course to explain complicated scientific concepts in a more understandable manner to students during the COVID-19 period is an unaddressed issue. This study aims…
Descriptors: Computer Simulation, Online Courses, COVID-19, Pandemics
Essmiller, Kathy; Asino, Tutaleni I.; Ibukun, Ayodeji; Alvarado-Albertorio, Frances; Chaivisit, Sarinporn; Do, Thanh; Kim, Younglong – Research in Learning Technology, 2020
This study addresses the question of how to facilitate instruction and practice with virtual reality to mitigate the detrimental impact of cognitive load associated with use in simple procedural tasks. The study collected data from 63 college students aged 18 years and above from a university in the southern part of the USA. Each study participant…
Descriptors: Computer Simulation, Self Efficacy, Student Motivation, College Students
Zhao, Jian; Lin, Lijia; Sun, Jiangshan; Liao, Yuan – Asia-Pacific Education Researcher, 2020
According to the current literature, it is unknown whether summarizing can enhance learning and engagement in an immersive environment. To fill this gap, we conducted an experimental study to investigate the potential effects of using summarizing strategy in an immersive virtual reality learning environment on comprehension, cognitive load, and…
Descriptors: Learner Engagement, Computer Simulation, Reading Comprehension, Cognitive Processes
Yau, Hon Keung; Chan, Chui Fan – Turkish Online Journal of Educational Technology - TOJET, 2023
Simulation software has been integrated into education delivery process in order to provide an effective learning environment for students such as FlexSim and Arena. This study investigated Hong Kong engineering students' help-seeking perception and attitudes towards learning simulation software at their university education institution. Students…
Descriptors: Engineering Education, College Students, Computer Simulation, Educational Technology
Lin, Hota Chia-Sheng; Yu, Shih-Jou; Sun, Jerry Chih-Yuan; Jong, Morris Siu Yung – Interactive Learning Environments, 2021
This study aimed to investigate differences in students' situational interest (exploration intention, instant enjoyment, novelty, attention demand, challenge, and total interest) and cognitive load (intrinsic, extraneous, and germane) of VR-guide and map-guide groups in a university library. The VR-guide group used wearable spherical video-based…
Descriptors: College Students, Library Instruction, Student Interests, Cognitive Processes
Biswas, Gautam; Rajendran, Ramkumar; Mohammed, Naveeduddin; Goldberg, Benjamin S.; Sottilare, Robert A.; Brawner, Keith; Hoffman, Michael – IEEE Transactions on Learning Technologies, 2020
Intelligent learning environments can be designed to support the development of learners' cognitive skills, strategies, and metacognitive processes as they work on complex decision-making and problem-solving tasks. However, the complexity of the tasks may impede the progress of novice learners. Providing adaptive feedback to learners who face…
Descriptors: Decision Making, Difficulty Level, Hierarchical Linear Modeling, Cognitive Processes
Lubrick, Mark; Zhou, George; Zhang, Jingsheng – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Lightboard technology has only been around since 2013, but has already shown up on numerous campuses worldwide. There is a dearth of research related to lightboard videos, so there is a need to systematically explore its potential and best practices. This paper explores the pedagogical potential of lightboards for higher education through…
Descriptors: Educational Technology, Video Technology, Academic Achievement, Learner Engagement
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