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Alyssa P. Lawson; Richard E. Mayer – Journal of Computer Assisted Learning, 2024
Background: Immersive virtual reality (IVR) is a new technology that could motivate learners, but also could contain distracting elements that increase cognitive demands on learners. In contrast, learning with conventional media, such as a narrated slideshow could be less motivating, but also less distracting. Objectives: This experiment…
Descriptors: Computer Simulation, Individual Differences, Learning, Executive Function
Shenglin Cao; Juan Chu; ZuoChen Zhang; Liyan Liu – Interactive Learning Environments, 2024
VR technology is being widely used in education due to it's a sense of immersion, real-time interaction, and ability to stimulate imagination. However, there is a lack of research comparing students at different stages. This study used a quasi-experimental design involving 73 fourth-grade and 86 eighth-grade students in two schools in northwest…
Descriptors: Computer Simulation, Technology Uses in Education, Instructional Effectiveness, Elementary School Students
Tsivitanidou, Olia E.; Georgiou, Yiannis; Ioannou, Andri – Journal of Science Education and Technology, 2021
The integration of immersive virtual reality (VR) in authentic science classrooms can result in a totally new learning experience for the students. However, the effect of such a learning experience on students' conceptual learning gains and their perceptions of the experience, while considering students' pre-existing science- and digital…
Descriptors: Learning Experience, Inquiry, Active Learning, Physics
Ling, Yizhou; Zhu, Pengfei; Yu, Jiayan – Educational Technology Research and Development, 2021
Considering the individual differences in previous content knowledge, skill, and attitude, which types of learners are suitable for AR is a valuable but complex question. The study used quasi-experimental design, and divided 97 10th-grade students into two groups: traditional group (N = 48) and AR group (N = 49), who participated in 4-week organic…
Descriptors: Computer Simulation, Technology Integration, Organic Chemistry, Science Instruction
Rogers, James W.; Cox, James R. – Journal of College Science Teaching, 2008
At RMIT University, students may now elect to study infectious diseases through a course called Outbreak--The Detection and Control of Infectious Disease. Outbreak was designed to simulate in an online class the effective teamwork required to bring resolution to outbreak crises and enable frameworks for future prevention. The appropriateness of…
Descriptors: Action Research, Online Courses, Communicable Diseases, Epidemiology
The Impact of Learner's Prior Knowledge on Their Use of Chemistry Computer Simulations: A Case Study
Liu, Han-Chin; Andre, Thomas; Greenbowe, Thomas – Journal of Science Education and Technology, 2008
It is complicated to design a computer simulation that adapts to students with different characteristics. This study documented cases that show how college students' prior chemistry knowledge level affected their interaction with peers and their approach to solving problems with the use of computer simulations that were designed to learn…
Descriptors: Science Instruction, Individual Differences, Knowledge Level, Prior Learning
Peer reviewedLipson, Joseph I. – Journal of College Science Teaching, 1981
Describes personal contributions made by the author in individualized instruction, including: Individually Prescribed Instruction (IPI), the Doctor of Arts program, and the development of educational videodiscs. Innovations in these areas are discussed: education for the handicapped, personal development education, industrial and military…
Descriptors: College Science, Disabilities, Doctor of Arts Degrees, Higher Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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