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McCord, Kieren H.; Ayer, Steven K.; Perry, Logan A.; Patil, Karan R.; London, Jeremi S.; Khoury, Vanessa; Wu, Wei – Education Sciences, 2022
In civil and construction engineering education research, a focus has been on using 3D models to support students' design comprehension. Despite this trend, the predominant mode of design communication in the industry relies on 2D plans and specifications, which typically supersede other modes of communication. Rather than focusing on the…
Descriptors: Computer Simulation, Engineering Education, Civil Engineering, Design
Brittney Heibel; Ryan Anderson; Marshall Swafford; Bradley Borges – Journal of Agricultural Education, 2024
Virtual reality (VR) technology is an advanced modern resource commonly integrated into various forms of training. VR training simulations are customizable in that quality-grading parameter settings, physical environment, and user capacity can be modified to personal or professional preference. In this study, VR technology training practices are…
Descriptors: Technology Integration, Computer Simulation, Sequential Approach, Training Methods
Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Educational Technology & Society, 2022
Examining the sequential patterns of self-regulated learning (SRL) behaviors is gaining popularity to understand students' performance differences. However, few studies have looked at the transition probabilities among different SRL behaviors. Moreover, there is a lack of research investigating the temporal structures of students' SRL behaviors…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Metacognition, Sequential Approach
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
Campbell, Robert D. – American Journal of Business Education, 2017
This paper presents an example of an approach to teaching financial theory at the college and post-graduate levels that I call "teaching backwards". In the more traditional approach, instructors begin by explaining financial theory, then proceed to give examples of the way this theory can be applied to a business problem, structuring…
Descriptors: College Students, Teaching Methods, Money Management, Economics Education
Rague, Brian William – ProQuest LLC, 2010
Almost all collegiate programs in Computer Science offer an introductory course in programming primarily devoted to communicating the foundational principles of software design and development. The ACM designates this introduction to computer programming course for first-year students as CS1, during which methodologies for solving problems within…
Descriptors: Control Groups, Introductory Courses, Sequential Approach, Programming Languages
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Hjalmarson, Margret; Diefes-Dux, Heidi A.; Bowman, Keith; Zawojewski, Judith S. – Journal of STEM Education: Innovations and Research, 2006
We have designed model-development sequences using a common context to provide authentic problem-solving experiences for first-year students. The model-development sequence takes a model-eliciting activity a step further by engaging students in the exploration and adaptation of a mathematical model (e.g., procedure, algorithm, method) for solving…
Descriptors: Problem Solving, Learning Experience, College Freshmen, Mathematical Models