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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
Dongyu Yu; Xing Yao; Kaidi Yu; Dandan Du; Jinyi Zhi; Chunhui Jing – Interactive Learning Environments, 2024
The objective of this study was to determine the differential effects of the presentation position of the augmented reality--head worn display (AR-HWD) interface and the audiovisual-dominant multimodal learning material on learning performance and cognitive load across different learning tasks in training for high-speed train driving. We selected…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Peripherals, Computer Interfaces
Jon-Chao Hong; Jhen-Ni Ye; Jian-Hong Ye; Ling-Wen Kung – Interactive Learning Environments, 2024
Attentional control theory indicates that concentration is considered an important variable that contributes to learning. There are some devices for players to practice their concentration, but there are few virtual reality (VR) designs which can increase the level of difficulty for students to discipline their mental concentration with…
Descriptors: Attention Control, Predictor Variables, Cognitive Processes, Difficulty Level
Zhong, Baichang; Zheng, Jijun; Zhan, Zehui – Interactive Learning Environments, 2023
This study examined the effects of virtual and physical robots (VPR) using in different learning stages (simple session/complex session) in a robotics programming course. A quasi-experimental design was implemented with 84 junior high school students from two classes. One class with 44 students used combination of VPR strategy for learning,…
Descriptors: Robotics, Programming, Junior High School Students, Educational Technology
Chang, Kuo-En; Zhang, Jia; Huang, Yang-Sheng; Liu, Tzu-Chien; Sung, Yao-Ting – Interactive Learning Environments, 2020
Physical education is a course that integrates knowledge of sports with skill drilling. Augmented Reality (AR)-assisted instruction has infrequently been applied in sport skill drilling. Video-assisted instruction has frequently applied to physical sports; however, it neither involves interactive practice nor embodies both textbook learning and…
Descriptors: Computer Simulation, Physical Education, Exercise, Video Technology
Xiao-Fan Lin; Gwo-Jen Hwang; Jing Wang; Yue Zhou; Wenyi Li; Jiachun Liu; Zhong-Mei Liang – Interactive Learning Environments, 2023
Augmented reality (AR) can represent a contextualised scientific inquiry environment in which students may explore the real world and develop science process skills via interacting with rich information from virtual systems. However, it remains a challenge for most students to complete scientific inquiry tasks without proper support. Research…
Descriptors: Computer Simulation, Active Learning, Inquiry, Behavior Patterns
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
Goh, Joelene; Truman, Barbara; Barber, Daniel – Interactive Learning Environments, 2019
Identifying characteristics of individuals who will be negatively impacted by interactive learning environments (ILE) was explored in a field study conducted among learners whose high-stakes performance depended upon grasping training scenarios quickly. Gauging the appropriateness of computer-based simulations for individuals became a pedagogical…
Descriptors: Individual Differences, Computer Assisted Instruction, Educational Technology, Self Efficacy
Chang, Shao-Chen; Hsu, Ting-Chia; Chen, Yen-Ni; Jong, Morris Siu-yung – Interactive Learning Environments, 2020
With the continuous development and innovation of information technology, virtual reality (VR) has become an important topic of education technology in recent years. VR is not only applied in many industries, but is also used by scholars for education applications as it enables students to have an immersive learning experience to enhance their…
Descriptors: Video Technology, Computer Simulation, Science Instruction, Instructional Effectiveness
Wu, Po-Han; Hwang, Gwo-Jen; Yang, Mei-Ling; Chen, Chih-Hung – Interactive Learning Environments, 2018
Augmented reality (AR) offers potential advantages for intensifying environmental context awareness and augmenting students' experiences in real-world environments by dynamically overlapping digital materials with a real-world environment. However, some challenges to AR learning environments have been described, such as participants' cognitive…
Descriptors: Simulated Environment, Teaching Methods, Computer Simulation, Elementary School Students
Liu, Han-Chin; Chuang, Hsueh-Hua – Interactive Learning Environments, 2011
This study investigated how the format of verbal instructions in computer simulations and prior knowledge (PK) affected 8th graders' cognitive load (CL) level and achievement in a multimedia learning environment. Although PK was not found to significantly affect student performance and CL level, instruction format was found to impact both.…
Descriptors: Electronic Learning, Instructional Design, Prior Learning, Grade 8