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Lisa Stark; Andreas Korbach; Roland Brünken; Babette Park – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Metacognition, Multimedia Instruction, Multimedia Materials, Eye Movements
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Lee, Sungeun; Choi, Bokgiu; Maia, Camilla Cavalcante; Park, Jaewan; Youm, Sang Hoon; Lee, Sangwon – International Journal of Technology and Design Education, 2022
With the growing complexity of design technology and the emergence of intelligent design assistance, architectural studio classes are facing a new pedagogical paradigm. The digital literacy of younger generations and availability of scientific simulation have the potential to transform the traditional master-apprentice model. In our experiment, we…
Descriptors: Teaching Methods, Design, Architectural Education, Technological Literacy
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De Leon, Leticia; Bennett, Kara – Journal of Interactive Learning Research, 2019
This paper describes a qualitative study that examined how preservice teachers engaged in a "Second Life" activity intended to help them reflect on how knowledge of human rights may affect their professional practice. This process utilized a problem-solving strategy to determine their goal-oriented character traits. Therefore, the…
Descriptors: Civil Rights, Protocol Analysis, Problem Solving, Preservice Teachers
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Fang, N.; Tajvidi, M. – Journal of Computer Assisted Learning, 2018
This study focuses on the investigation of the effects of computer simulation and animation (CSA) on students' cognitive processes in an undergraduate engineering course. The revised Bloom's taxonomy, which consists of six categories in the cognitive process domain, was employed in this study. Five of the six categories were investigated,…
Descriptors: Computer Simulation, Animation, Educational Technology, Technology Uses in Education
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Kazak, Sibel; Fujita, Taro; Wegerif, Rupert – Statistics Education Research Journal, 2016
The study explores the development of 11-year-old students' informal inference about random bunny hops through student talk and use of computer simulation tools. Our aim in this paper is to draw on dialogic theory to explain how students make shifts in perspective, from intuition-based reasoning to more powerful, formal ways of using probabilistic…
Descriptors: Inferences, Computer Simulation, Probability, Statistical Distributions
Pirolli, Peter – 1992
Four papers from a project concerning information-processing characterizations of the knowledge and processes involved in design are presented. The project collected and analyzed verbal protocols from instructional designers, architects, and mechanical engineers. A framework was developed for characterizing the problem spaces of design that…
Descriptors: Architecture, Cognitive Processes, Computer Simulation, Design
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Kaplan, Craig A.; Simon, Herbert A. – Cognitive Psychology, 1990
Attaining the insight needed to solve the Mutilated Checkerboard problem, which requires discovery of an effective problem representation (EPR), is described. Performance on insight problems can be predicted from the availability of generators and constraints in the search for an EPR. Data for 23 undergraduates were analyzed. (TJH)
Descriptors: Cognitive Processes, Computer Simulation, Difficulty Level, Heuristics
Biswas, Gautam; And Others – 1994
This report characterizes human problem solving in digital circuit design. Protocols of 11 different designers with varying degrees of training were analyzed by identifying the designers' problem solving strategies and discussing activity patterns that differentiate the designers. These methods are proposed as a tentative basis for assessing…
Descriptors: Classification, Cognitive Processes, Computer Simulation, Computer Software Development
Taylor, David; Clark, Ruth – Performance and Instruction, 1992
Discussion of differences between problem-solving techniques of novices and experts suggests that both the experts' mental model and common novice problems can be derived from analyses of several expert and novice protocols. Three instructional strategies based on these differences are discussed, including the use of a computer simulation to solve…
Descriptors: Cognitive Psychology, Cognitive Structures, Comparative Analysis, Computer Simulation
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Goldman, Susan R.; Zech, Linda K.; Biswas, Gautam; Noser, Tom; Bateman, Helen; Bransford, John; Crews, Thaddeus; Moore, Allison; Nathan, Mitchell; Owens, Stephen – Instructional Science, 1999
Examines mathematics problem solving in a computer software environment using graphical representations of the results of simulations with adolescent students. Discusses the strengths and limitations of inferring goals and plans, the use of verbal protocols, and ways for computer-based learning environments to scaffold acquisition of domain…
Descriptors: Adolescents, Cognitive Processes, Computer Assisted Instruction, Computer Graphics
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Safrit, M. J.; And Others – Journal of Computer Assisted Learning, 1988
Discussion of the evaluation of courseware focuses on a study conducted to evaluate the Health and Fitness Assessment (HAFA) program, which was designed to elicit problem solving skills to assess health and fitness parameters and develop exercise prescriptions. Protocol analysis is described and the analysis of interpretive statements is…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Computer Simulation, Exercise
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Elshout, Jan J.; Veenman, Marcel V. J. – Journal of Educational Research, 1992
The relationship between intellectual ability, working method, and learning was investigated with simulations in both structured and unstructured learning environments. High- and low-intelligence college students' thinking-aloud protocols were analyzed on quality of working method. Results indicated that both intellectual ability and working…
Descriptors: Cognitive Ability, Cognitive Style, College Students, Computer Simulation