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Mariam Tomori; Omobolanle Ogunseiju – Journal of Civil Engineering Education, 2025
The construction industry is undergoing a significant transformation as the workforce shifts from traditional practices to sensing technology-driven approaches, thereby creating a critical skills gap. Mixed reality learning environments (MRLE) have emerged as a promising solution to prepare the future workforce by providing immersive and…
Descriptors: Expertise, Novices, Decision Making, Computer Simulation
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Azevedo, Roger; Mudrick, Nicholas; Taub, Michelle; Wortha, Franz – Teachers College Record, 2017
Metacognition and emotions play a critical role in learners' ability to monitor and regulate their learning about 21st-century skills related to science, technology, engineering, and mathematics (STEM) content while using advanced learning technologies (ALTs; e.g., intelligent tutoring systems, serious games, hypermedia, augmented reality). In…
Descriptors: Metacognition, Psychological Patterns, STEM Education, Educational Technology
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Lamb, Richard L.; Firestone, Jonah B. – International Journal of Science and Mathematics Education, 2017
Conflicting explanations and unrelated information in science classrooms increase cognitive load and decrease efficiency in learning. This reduced efficiency ultimately limits one's ability to solve reasoning problems in the science. In reasoning, it is the ability of students to sift through and identify critical pieces of information that is of…
Descriptors: Cognitive Processes, Difficulty Level, Science Process Skills, Computation
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van Leeuwen, Anouschka – Journal of Learning Analytics, 2015
Learning analytics (LA) are summaries, visualizations, and analyses of student data that could improve learning in multiple ways, for example by supporting teachers. However, not much research is available yet concerning how LA may support teachers to diagnose student progress and to intervene during student learning activities. There is evidence…
Descriptors: Data Collection, Data Analysis, Student Evaluation, Cognitive Processes
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Katsikopoulos, Konstantinos V.; Schooler, Lael J.; Hertwig, Ralph – Psychological Review, 2010
Heuristics embodying limited information search and noncompensatory processing of information can yield robust performance relative to computationally more complex models. One criticism raised against heuristics is the argument that complexity is hidden in the calculation of the cue order used to make predictions. We discuss ways to order cues…
Descriptors: Heuristics, Computer Simulation, Cues, Prediction
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Lindgren, Robb; Schwartz, Daniel L. – International Journal of Science Education, 2009
Interactive simulations are entering mainstream science education. Their effects on cognition and learning are often framed by the legacy of information processing, which emphasized amodal problem solving and conceptual organization. In contrast, this paper reviews simulations from the vantage of research on perception and spatial learning,…
Descriptors: Information Processing, Spatial Ability, Computer Simulation, Science Instruction
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Depradine, Colin – Computers & Education, 2007
With the rapid development of the information communication and technology (ICT) infrastructure in the Caribbean, there is an increasing demand for skilled software developers to meet the ICT needs of the region. Consequently, the web-based applications course offered at the University of the West Indies, has been redeveloped. One major part of…
Descriptors: Foreign Countries, Educational Technology, Computer Software, Strategic Planning
Casazza, Ornella; Franchi, Paolo – Perspectives in Computing: Applications in the Academic and Scientific Community, 1985
Description of encoding of art works and digitization of paintings to preserve and restore them reviews experiments which used chromatic selection and abstraction as a painting restoration method. This method utilizes the numeric processing resulting from digitization to restore a painting and computer simulation to shorten the restoration…
Descriptors: Computer Oriented Programs, Computer Simulation, Information Processing, Information Storage
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Gruska, Jozef – Education and Computing, 1993
Describes shortcomings of computer science/engineering education and explains a new focus on informatics. Highlights include simulation, visualization, algorithmization, design of information processing models, parallel computing, a history of informatics, informatics versus physics and mathematics, and implications for education. (51 references)…
Descriptors: Algorithms, Computer Science Education, Computer Simulation, Higher Education
Sculley, John – EDUCOM Bulletin, 1988
Discussion of the effects of the new information age and new technologies on business and higher education was originally given as the keynote address at EDUCOM '87. Highlights include new organizational patterns; a new paradigm for lifelong learning; the necessity for integrating research and instruction; hypermedia; simulation; and artificial…
Descriptors: Artificial Intelligence, Computer Simulation, Futures (of Society), Higher Education