NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Alejandra Ruiz-Segura; Andrew Law; Sion Jennings; Alain Bourgon; Ethan Churchill; Susanne Lajoie – Journal of Computer Assisted Learning, 2024
Background: Flying accuracy is influenced by pilots' affective reactions to task demands. A better understanding of task-related emotions and flying performance is needed to enhance pilot training. Objective: Understand pilot trainees' performance and emotional dynamics (intensity, frequency and variability) based on training phase and difficulty…
Descriptors: Foreign Countries, Flight Training, Aviation Technology, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Lämsä, Joni; Mannonen, Joonas; Tuhkala, Ari; Heilala, Ville; Helovuo, Arto; Tynkkynen, Ilkka; Lampi, Emilia; Sipiläinen, Katriina; Kärkkäinen, Tommi; Hämäläinen, Raija – Journal of Computer Assisted Learning, 2023
Background: Cognitive load (CL) management is essential in safety-critical fields so that professionals can monitor and control their cognitive resources efficiently to perform and solve scenarios in a timely and safe manner, even in complex and unexpected circumstances. Thus, cognitive load theory (CLT) can be used to design virtual reality (VR)…
Descriptors: Cognitive Processes, Difficulty Level, Computer Simulation, Flight Training
Peer reviewed Peer reviewed
Direct linkDirect link
Yuko Suzuki; Fridolin Wild; Eileen Scanlon – Journal of Computer Assisted Learning, 2024
Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Physiology
Peer reviewed Peer reviewed
Direct linkDirect link
Hite, Rebecca L.; Jones, Melissa Gail; Childers, Gina M.; Ennes, Megan E.; Chesnutt, Katherine M.; Pereyra, Mariana; Cayton, Emily M. – Journal of Computer Assisted Learning, 2022
Background: Knowledge of the structure and function of the human heart is fundamental to accurately understanding human physiology. As a complex biological system, naïve conceptions abound regarding cardiac anatomy and physiology for K-12 learners and medical students alike. Objective: Textbooks and lectures, as well models and simulations, have…
Descriptors: Computer Simulation, Technology Uses in Education, Human Body, Knowledge Level
Peer reviewed Peer reviewed
Direct linkDirect link
Liberman, Liat; Dubovi, Ilana – Journal of Computer Assisted Learning, 2023
Background: Virtual reality (VR) is considered a promising approach to support learning. An instructional design is essential to optimize cognitive processes. Studies show that VR has unique instructional and pedagogical requirements. Objectives: To evaluate the effectiveness and applicability of the modality principle, which was previously…
Descriptors: Eye Movements, Retention (Psychology), Computer Simulation, Instructional Design