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Çinar, Murat; Dogan, Dilek; Tüzün, Hakan – International Journal of Technology and Design Education, 2022
This study aims to investigate the effects of different design tasks on the cognitive load level of instructional designers during the process of designing a learning activity in a 3D multi-user virtual environment (MUVE). The sample consisted of 16 undergraduate students who were experienced in the areas of instructional design, computer…
Descriptors: Instructional Design, Cognitive Processes, Difficulty Level, Learning Activities
Xiao-Fan Lin; Seng Yue Wong; Wei Zhou; Weipeng Shen; Wenyi Li; Chin-Chung Tsai – International Journal of Science and Mathematics Education, 2024
Research evidence indicated that a specific type of augmented reality-assisted (AR-assisted) science learning design or support might not suit or be effective for all students because students' cognitive load might differ according to their experiences and individual characteristics. Thus, this study aimed to identify undergraduate students'…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Foreign Countries
Çini, Ahsen; Järvelä, Sanna; Dindar, Muhterem; Malmberg, Jonna – Metacognition and Learning, 2023
Metacognitive awareness is knowing about learners' own thinking and learning, facilitated by introspection and self-evaluation. Although metacognitive functions are personal, they cannot be explained simply by individual conceptions, especially in a collaborative group learning context. This study considers metacognitive awareness on multiple…
Descriptors: Metacognition, Video Technology, Measures (Individuals), Problem Solving
Nihalani, Priya K.; Robinson, Daniel H. – Journal of Educational Computing Research, 2022
We sought to identify factors that optimize individual learning in complex, technology-enhanced learning environments. Undergraduates viewed tutorials and played a simulation-based game either alone or in groups and in either high or low cognitive load sequences and later took tests measuring comprehension of tutorials and transfer of computer…
Descriptors: Cognitive Processes, Difficulty Level, Cooperative Learning, Technology Uses in Education
Bogomolova, Katerina; Vorstenbosch, Marc A. T. M.; El Messaoudi, Inssaf; Holla, Micha; Hovius, Steven E. R.; van der Hage, Jos A.; Hierck, Beerend P. – Anatomical Sciences Education, 2023
Binocular disparity provides one of the important depth cues within stereoscopic three-dimensional (3D) visualization technology. However, there is limited research on its effect on learning within a 3D augmented reality (AR) environment. This study evaluated the effect of binocular disparity on the acquisition of anatomical knowledge and…
Descriptors: Anatomy, Visualization, Technology, Difficulty Level
Ying-Lien Lin; Wei-Tsong Wang – Journal of Educational Computing Research, 2025
Virtual-reality business simulation games (VRBSGs) have garnered attention in management education. However, investigating the design of efficient VRBSGs from an integrated perspective of social cognitive, self-determination, and cognitive load theories is crucial but under-addressed. Therefore, this study developed a VRBSG learning system to…
Descriptors: Undergraduate Students, Business Education, Computer Simulation, Game Based Learning
Elford, Daniel; Lancaster, Simon J.; Jones, Garth A. – Journal of Science Education and Technology, 2022
Augmented reality (AR) has the capacity to afford a virtual experience that obviates the reliance on using two-dimensional representations of 3D molecules for teaching stereochemistry to undergraduate students. Using a combination of quantitative instruments and qualitative surveys/interviews, this study explored the relationships between…
Descriptors: Computer Simulation, Simulated Environment, Science Instruction, Chemistry
Elme, Liisalotte; Jørgensen, Maria L. M.; Dandanell, Gert; Mottelson, Aske; Makransky, Guido – Educational Technology Research and Development, 2022
The goal of the current study was to investigate the effects of an immersive virtual reality (IVR) science simulation on learning in a higher educational setting, and to assess whether using self-explanation has benefits for knowledge gain. A sample of 79 undergraduate biology students (40 females, 37 males, 2 non-binary) learned about…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, STEM Education
Daniel Elford; Garth A. Jones; Simon J. Lancaster – Chemistry Education Research and Practice, 2024
Peer Instruction (PI), a student-centred teaching method, engages students during class through structured, frequent questioning, facilitated by classroom response systems. The central feature of PI is the ConcepTest, a question designed to help resolve student misconceptions around the subject content. Within our coordination chemistry PI…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Computer Simulation
Çeken, Burç; Taskin, Nazim – Smart Learning Environments, 2022
Current literature mainly focused on one or two multimedia learning principles in traditional learning environments. Studies on multimedia learning principles in AR and VR environments are also limited. To reveal the current situation and gaps of the multimedia learning principles in different learning environments, it is necessary to extend their…
Descriptors: Multimedia Instruction, Multimedia Materials, Educational Principles, Educational Environment
Lui, Michelle; McEwen, Rhonda; Mullally, Martha – British Journal of Educational Technology, 2020
Educators are recognizing the potential power of immersive virtual reality (IVR) to allow learners to experience previously intangible firsthand phenomena, such as atoms and molecules. In this study, an IVR simulation of a complex gene regulation system was co-designed with an undergraduate microbiology course instructor. The course, with 234…
Descriptors: Computer Simulation, Difficulty Level, Instructional Effectiveness, Undergraduate Students
Munfaridah, Nuril; Avraamidou, Lucy; Goedhart, Martin – EURASIA Journal of Mathematics, Science and Technology Education, 2021
Using multiple representations (MR) such as graphs, symbols, diagrams, and text, is central to teaching and learning in physics classrooms. While different studies have provided evidence of the positive impact of the use of MR on physics learning, a comprehensive overview of existing literature on the use of MR in physics education, especially at…
Descriptors: Undergraduate Students, Physics, Science Instruction, Teaching Methods
PaaBen, Benjamin; Bertsch, Andreas; Langer-Fischer, Katharina; Rüdian, Sylvio; Wang, Xia; Sinha, Rupali; Kuzilek, Jakub; Britsch, Stefan; Pinkwart, Niels – International Educational Data Mining Society, 2021
Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…
Descriptors: Anatomy, Science Instruction, Computer Simulation, Computer Software
Luke, Sara E.; Ford, Deana; Vaughn, Michelle; Fulchini-Scruggs, Angelica – Journal of Technology and Teacher Education, 2021
Scholars have advocated for practice-based experiences, including high-leverage practices and metacognition, to be incorporated within preservice teacher programs, as they have the most pervasive impact on students' learning. One way in which teacher preparation programs have incorporated practice-based experiences is through the use of…
Descriptors: Computer Simulation, Role Playing, Vignettes, Parent Teacher Conferences
Devine, Kevin; Chang, Yi-hsiang Isaac; Klitzing, Gunnar – Engineering Design Graphics Journal, 2019
Recent developments in Virtual Reality (VR) technology has prompted the manufacturing industry and software vendors to investigate VR's potential for process enhancement. In this paper, we present a study to investigate whether using VR could reduce an individual's cognitive workload during the process of programming an industrial robot. The…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Programming