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Cook, David A.; Aljamal, Yazan; Pankratz, V. Shane; Sedlack, Robert E.; Farley, David R.; Brydges, Ryan – Advances in Health Sciences Education, 2019
Self-regulated learning is optimized when instructional supports are provided. We evaluated three supports for self-regulated simulation-based training: practice schedules, normative comparisons, and learning goals. Participants practiced 5 endoscopy tasks on a physical simulator, then completed 4 repetitions on a virtual reality simulator. Study…
Descriptors: Metacognition, Medical Students, Teaching Methods, Medical Education
Teng, Chin-Hung; Chen, Jr-Yi; Chen, Zhi-Hong – Journal of Educational Computing Research, 2018
Although the learning of programming language is critical in science and technology education, it might be difficult for some students, especially novices. One possible reason might be the fact that programming language, especially for three-dimensional (3D) applications, is too complex and abstract for these students to understand. Programming…
Descriptors: Computer Simulation, Simulated Environment, Programming, Computer Science Education
Schroeder, Noah L. – Educational Technology & Society, 2017
According to cognitive load theorists, the incorporation of extraneous features, such as pedagogical agents, into the learning environment can introduce extraneous cognitive load and thus interfere with learning outcome scores. In this study, the influence of a pedagogical agent's presence in an instructional video was compared to a video that did…
Descriptors: Teaching Methods, Cognitive Processes, Difficulty Level, Teacher Influence
Tanner, Patricia; Karas, Carly; Schofield, Damian – Journal of Information Technology Education: Research, 2014
This study investigates the classroom integration of an innovative technology, augmented reality. Although the process of adding new technologies into a classroom setting can be daunting, the concept of augmented reality has demonstrated the ability to educate students and to assist with their comprehension of a procedural task. One half of the…
Descriptors: Computer Simulation, Handheld Devices, Computer Uses in Education, Robotics
Penfield, Randall D. – Applied Measurement in Education, 2006
This study applied the maximum expected information (MEI) and the maximum posterior-weighted information (MPI) approaches of computer adaptive testing item selection to the case of a test using polytomous items following the partial credit model. The MEI and MPI approaches are described. A simulation study compared the efficiency of ability…
Descriptors: Bayesian Statistics, Adaptive Testing, Computer Assisted Testing, Test Items
Wang, Wen-Chung; Chen, Po-Hsi – Applied Psychological Measurement, 2004
Multidimensional adaptive testing (MAT) procedures are proposed for the measurement of several latent traits by a single examination. Bayesian latent trait estimation and adaptive item selection are derived. Simulations were conducted to compare the measurement efficiency of MAT with those of unidimensional adaptive testing and random…
Descriptors: Item Analysis, Adaptive Testing, Computer Assisted Testing, Computer Simulation