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Zheng, Juan; Xing, Wanli; Huang, Xudong; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Research on self-regulated learning (SRL) in engineering design is growing. While SRL is an effective way of learning, however, not all learners can regulate themselves successfully. There is a lack of research regarding how student characteristics, such as science knowledge and design knowledge, interact with SRL. Adapting the SRL theory in the…
Descriptors: Engineering Education, Achievement Gains, Knowledge Level, Learning Strategies
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Zakariya, Yusuf Feyisara; Nilsen, Hans Kristian; Bjørkestøl, Kirsten; Goodchild, Simon – International Journal of Mathematical Education in Science and Technology, 2023
Approaches to learning have been identified as crucial factors that influence students' mathematics performance. However, there have been mixed findings on which of the different approaches improve performance in undergraduate mathematics. Thus, this study aimed to unravel the specific effects of prior mathematics knowledge and approaches to…
Descriptors: Prior Learning, Learning Processes, Mathematics Achievement, Engineering Education
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Zakariya, Yusuf F.; Nilsen, H. K.; Goodchild, Simon; Bjørkestøl, Kirsten – Journal of Technology and Science Education, 2020
The importance of students' prior knowledge to their current learning outcomes cannot be overemphasised. Students with adequate prior knowledge are better prepared for the current learning materials than those without the knowledge. However, assessment of engineering students' prior mathematics knowledge has been beset with a lack of uniformity in…
Descriptors: College Freshmen, Engineering Education, Knowledge Level, Mathematics Education
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Nelson, Katherine G.; McKenna, Ann F.; Brem, Sarah K.; Hilpert, Jonathan; Husman, Jenefer; Pettinato, Eva – Journal of Engineering Education, 2017
Background: Little research exists on students' misconceptions about semiconductors, why they form, and what role educational resources like simulations play in misconception formation. Research on misconceptions can help enhance student learning about semiconductors. Purpose (Hypothesis): This project sought to identify students' misconceptions…
Descriptors: College Students, Engineering Education, Misconceptions, Knowledge Level
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Cuevas, Omar; Larios, Victor; Peralta, Julia X.; Jiménez, Angélica R. – International Electronic Journal of Mathematics Education, 2018
Background: The previous knowledge which a student brings with him to university is an important item which eases adaptation and permanence at the university. When a diagnostic exam to evaluate the knowledge students have in Mathematics, their deficiencies from previous studies become clear. At the Instituto Tecnológico de Sonora a diagnostic exam…
Descriptors: Mathematics Skills, Knowledge Level, Academic Aspiration, Engineering Education
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Zhong, Baichang; Si, Qiuju – Journal of Educational Computing Research, 2021
Studies have indicated the importance of scaffolding in the problem-solving process, as well as the potential of integrating learning content into the troubleshooting tasks. However, few have explored in depth the learning process during troubleshooting via scaffolds while also taking students' cognitive load into account. To address this issue,…
Descriptors: Troubleshooting, Scaffolding (Teaching Technique), Instructional Effectiveness, Difficulty Level
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Peters, Michael – Teaching Mathematics and Its Applications, 2015
This article reports on an investigation with first year undergraduate Product Design and Management students within a School of Engineering and Applied Science. The students at the time of this investigation had studied fundamental engineering science and mathematics for one semester. The students were given an open ended, ill-formed problem…
Descriptors: Difficulty Level, Cognitive Processes, Undergraduate Students, Design
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Arsad, Norhana; Kamal, Noorfazila; Ayob, Afida; Sarbani, Nizaroyani; Tsuey, Chong Sheau; Misran, Norbahiah; Husain, Hafizah – International Education Studies, 2013
This paper discusses the effectiveness of the early evaluation questions conducted to determine the academic ability of the new students in the Department of Electrical, Electronics and Systems Engineering. Questions designed are knowledge based--on what the students have learned during their pre-university level. The results show students have…
Descriptors: Foreign Countries, Academic Ability, Engineering Education, Item Response Theory
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Lohani, Vinod K.; Wolfe, Mary Leigh; Wildman, Terry; Mallikarjunan, Kumar; Connor, Jeffrey – Advances in Engineering Education, 2011
In 2004, a group of engineering and education faculty at Virginia Tech received a major curriculum reform and engineering education research grant under the department-level reform (DLR) program of the NSF. This DLR project laid the foundation of sponsored research in engineering education in the Department of Engineering Education. The DLR…
Descriptors: Engineering Education, Educational Change, Spiral Curriculum, Curriculum Development
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Goos, Merrilyn, Ed.; Brown, Ray, Ed.; Makar, Katie, Ed. – Mathematics Education Research Group of Australasia, 2008
This document presents the proceedings of the 31st Annual Conference of the Mathematics Education Research Group of Australasia (MERGA). The theme of this conference is "Navigating Currents and Charting Directions." The theme reminds us that, although we are constantly pushed to account for the quality and impact of our research, we…
Descriptors: Feedback (Response), Constructivism (Learning), Educational Development, Practicums