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Showing 1 to 15 of 20 results Save | Export
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Lopes, Aldo Peres Campos e – Teaching Mathematics and Its Applications, 2023
This paper presents results of a study aimed at describing and discussing evidence/features of advanced algebraic thinking processes. To achieve these objectives, we analysed the written production of students enrolled in engineering courses working on mathematical modelling tasks related to differential equations. Our guiding question was as…
Descriptors: Algebra, Mathematics Skills, Cognitive Processes, Equations (Mathematics)
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Oguz Unver, Ayse; Okulu, Hasan Zuhtu – International Journal of Research in Education and Science, 2022
One of the most challenging tasks for teachers in projects is to develop creative ideas. Due to the linear system perspective of education, fostering students' creativity is restricted. However, engineering design and scientific process skills that comprise creativity have an iterative structure. An iterative process-oriented education enables…
Descriptors: Science Instruction, Engineering Education, Teaching Methods, Creativity
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Barlow, Allyson; Brown, Shane; Lutz, Benjamin; Pitterson, Nicole; Hunsu, Nathaniel; Adesope, Olusola – International Journal of STEM Education, 2020
Evidence shows that students who are actively engaged with learning materials demonstrate greater learning gains than those who are passively engaged. Indeed, cognitive engagement is often cited as a critical component of an educational experience. However, understanding how and in what ways cognitive engagement occurs remains a challenge for…
Descriptors: College Students, Engineering Education, Learner Engagement, Active Learning
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Farrow, Elaine; Moore, Johanna D.; Gaševic, Dragan – Journal of Learning Analytics, 2022
By participating in asynchronous course discussion forums, students can work together to refine their ideas and construct knowledge collaboratively. Typically, some messages simply repeat or paraphrase course content, while others bring in new material, demonstrate reasoning, integrate concepts, and develop solutions. Through the messages they…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Group Discussion, Learning Analytics
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Osler, James Edward, II – Journal of Educational Technology, 2018
This monograph provides in-depth mathematical logic as the foundational rationale for the novel and innovative online instructional methodology called the 4A Metric Algorithm. The 4A Metric has been designed to address and meet the meta-competency-based education challenges faced by 21st century students who must now adapt to and learn in a…
Descriptors: Geometric Concepts, Geometry, Mathematics Instruction, Electronic Learning
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Pande, Prajakt; Chandrasekharan, Sanjay – Studies in Science Education, 2017
Multiple external representations (MERs) are central to the practice and learning of science, mathematics and engineering, as the phenomena and entities investigated and controlled in these domains are often not available for perception and action. MERs therefore play a twofold constitutive role in reasoning in these domains. Firstly, MERs stand…
Descriptors: STEM Education, Visualization, Imagination, Cognitive Processes
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Lammi, Matthew D.; Denson, Cameron D. – Advances in Engineering Education, 2017
In this paper we examine a case study of a pedagogical strategy that focuses on the teaching of modeling as a habit of mind and practice for novice designers engaged in engineering design challenges. In an engineering design course, pre-service teachers created modeling artifacts in the form of conceptual models, graphical models, mathematical…
Descriptors: Preservice Teachers, Engineering Education, Case Studies, Educational Strategies
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Czocher, Jennifer A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
This study utilized an innovative data analysis approach to examine how engineering undergraduates engaged in mathematical modelling. Individual modelling routes were constructed via modelling activity diagrams and were used to critically examine the theoretical framework. Implications for the theoretical model are offered along with implications…
Descriptors: Undergraduate Students, Engineering Education, Mathematical Models, Mathematics Skills
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Yurtseven, M. Kudret; Buchanan, Walter W. – American Journal of Engineering Education, 2016
Decision making in most universities is taught within the conventional OR/MS (Operations Research/Management Science) paradigm. This paradigm is known to be "hard" since it is consisted of mathematical tools, and normally suitable for solving structured problems. In complex situations the conventional OR/MS paradigm proves to be…
Descriptors: Decision Making, Models, Industrial Education, Engineering Education
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De Clercq, Mikael; Galand, Benoit; Frenay, Mariane – Studies in Educational Evaluation, 2013
The aim of this study was to investigate the direction of the effect between goal orientation, self-regulation and deep processing strategies in order to understand the impact of these three constructs on students' achievement. The participants were 110 freshmen from the engineering faculty at the Universite catholique de Louvain in Belgium, who…
Descriptors: Foreign Countries, Goal Orientation, Self Control, Cognitive Processes
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Fazio, Claudio; Battaglia, Onofrio Rosario; Di Paola, Benedetto – Physical Review Special Topics - Physics Education Research, 2013
This paper describes a method aimed at pointing out the quality of the mental models undergraduate engineering students deploy when asked to create explanations for phenomena or processes and/or use a given model in the same context. Student responses to a specially designed written questionnaire are quantitatively analyzed using…
Descriptors: Undergraduate Students, Engineering Education, Science Instruction, Questionnaires
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Taskinen, Päivi H.; Steimel, Jochen; Gräfe, Linda; Engell, Sebastian; Frey, Andreas – Peabody Journal of Education, 2015
This study examined students' competencies in engineering education at the university level. First, we developed a competency model in one specific field of engineering: process dynamics and control. Then, the theoretical model was used as a frame to construct test items to measure students' competencies comprehensively. In the empirical…
Descriptors: Models, Engineering Education, Test Items, Outcome Measures
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Magana, Alejandra J.; Brophy, Sean P.; Bryan, Lynn A. – International Journal of Science Education, 2012
Size and scale cognition is a critical ability associated with reasoning with concepts in different disciplines of science, technology, engineering, and mathematics. As such, researchers and educators have identified the need for young learners and their educators to become scale-literate. Informed by developmental psychology literature and recent…
Descriptors: Engineering Education, Engineering, Models, STEM Education
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Krouk, B. I.; Zhuravleva, O. B. – IEEE Transactions on Education, 2009
This paper reports on the implementation of a self-directed learning process in a circuit theory course, incorporating dynamic training elements which were designed on the basis of a cybernetic model of cognitive process management. These elements are centrally linked in a dynamic learning frame, created on the monitor screen, which displays the…
Descriptors: Feedback (Response), Mathematical Models, Cybernetics, Independent Study
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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