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Georgieva, Desislava; Goranov, Petar – International Society for Technology, Education, and Science, 2021
Lecturer-student interaction is important for practical classes in Engineering Graphics that have specific features, e.g., working with graphical documents and individual assignments. Learning Management Systems (LMS) commonly do not offer appropriate tools for related tasks. As a result, students have to process their assignments outside the LMS,…
Descriptors: Teacher Student Relationship, Distance Education, Engineering Education, Drafting
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Kwak, Seok Joo; Mondisa, Joi-Lynn – International Association for Development of the Information Society, 2021
Open-access online courses, called massive open online courses (MOOCs), have received much attention from higher education institutions and course designers for their potential to reshape learning opportunities. Among the challenges in learning from MOOCs or in an online setting is that students may have insufficient prerequisite knowledge about…
Descriptors: Engineering Education, Undergraduate Students, Individualized Instruction, Educational Technology
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Denise Wilson; Joanna Wright; Lauren Summers – Journal for STEM Education Research, 2021
While there is little doubt that student engagement is important to academic outcomes ranging from grades to critical thinking skills and persistence, the evidence linking engagement to these academic outcomes is often mixed in higher education. To complement existing studies, our study took a multi-faceted look at engagement from behavioral,…
Descriptors: Learner Engagement, Outcomes of Education, Academic Achievement, Engineering Education
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Feifei Han – OTESSA Conference Proceedings, 2021
This study investigates to what extent there is an association between students' self-reported perceptions of online learning and observed online learning behaviors recorded by the learning analytic data. The participants were 319 undergraduates studying an engineering course in an Australian university. Data analyses were conducted using cluster…
Descriptors: Online Courses, Behavior Patterns, Correlation, Learning Processes
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Cornelis J. C. Vertegaal; Cecilia Martinez; Ramiro Serra; Prem Sundaramoorthy; Mark J. Bentum – IEEE Transactions on Education, 2025
Contribution: This study identifies the types of interaction that contribute to student learning with student-led tutorials (SLTs). The quality of these interactions include peer discussion, student tutor presentation, joint reasoning, and constructive feedback. Background: The introduction of SLTs in an advanced electromagnetics bachelor course…
Descriptors: Undergraduate Students, Physics, Science Curriculum, Science Instruction
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Lei Gao; Morris Siu-Yung Jong; Ching-Sing Chai; Oi-Lam Ng – International Journal of STEM Education, 2025
Background: To become qualified engineers, undergraduates must develop a contextualized epistemic cognition (EC) during the engineering design process (EDP), but little is known about their EC in the authentic EDP. This study aimed to gain an in-depth understanding of the EC and reported epistemic changes of undergraduate engineering students who…
Descriptors: Undergraduate Students, Student Attitudes, Epistemology, Cognitive Processes
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Saint, John; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2020
The recent focus on learning analytics (LA) to analyze temporal dimensions of learning holds the promise of providing insights into latent constructs, such as learning strategy, self-regulated learning (SRL), and metacognition. These methods seek to provide an enriched view of learner behaviors beyond the scope of commonly used correlational or…
Descriptors: Undergraduate Students, Engineering Education, Learning Analytics, Learning Strategies
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Johnson-Glauch, Nicole; Choi, Dong San; Herman, Geoffrey – Journal of Engineering Education, 2020
Background: Engineering students commonly learn domain knowledge by engaging with visual representations of it. However, at times they have trouble accessing information from these representations due to the way information is encoded in features of the representation. Purpose: To describe how students engage with representation features, we…
Descriptors: Engineering Education, College Students, Problem Solving, Knowledge Level
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Galán-García, José Luis; González-Marí, José Luis; Padilla-Domínguez, Yolanda; Rodríguez-Cielos, Pedro – International Journal for Technology in Mathematics Education, 2020
It is difficult for research in Mathematics Education to have any real impact on teaching practice in the classroom. Conscious of this, we have developed a research model for curricular innovation, involving the teachers responsible for its implementation, improving their training, and providing scientific information whilst maintaining the…
Descriptors: Mathematics Instruction, Teaching Methods, Models, Educational Trends
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Muniady, Vicneas; Mohamad Ali, Ahmad Zamzuri – International Journal of Instruction, 2020
Virtual agents are animated life-like characters generally used in virtual learning environments to facilitate learning tasks. With virtual agent, students can hold meaningful interactions throughout the learning process for more effective cognition. Hence, the effectiveness of virtual agent in term of promoting positive emotions is very much…
Descriptors: Multimedia Instruction, Computer Simulation, Electronic Learning, Realism
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Zaman, Mohd Hairi Mohd; Mokhtar, Mohd Hadri Hafiz; Ibrahim, Mohd Faisal; Huddin, Aqilah Baseri; Beng, Gan Kok – International Journal of Evaluation and Research in Education, 2020
Engineering students at an undergraduate level typically learn the design aspect and concept through lectures and practical sessions using computeraided software. However, the current computer-aided design and engineering (CAD/CAE) course did not expose the students to apply and relate the latest advanced technologies to solve global issues, for…
Descriptors: Foreign Countries, Technology Integration, Printing, Computer Peripherals
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Thomas, Julie; Hawley, Leslie R.; DeVore-Wedding, Beverly – School Science and Mathematics, 2020
With this research, we sought to expand the pool of engineering education assessment instruments. We drew upon earlier efforts to define an expanded protocol for prompting children's drawings of engineers; and evaluate the reliability of a new scoring rubric for the modified Draw-an-Engineer Test (mDAET). An earlier paper introduced our ground…
Descriptors: Student Attitudes, Engineering Education, Technical Occupations, Professional Personnel
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Magana, Alejandra J.; Vieira, Camilo; Fennell, Hayden W.; Roy, Anindya; Falk, Michael L. – Cognition and Instruction, 2020
Modeling is an important element of discovery and design processes because it can help individuals to comprehend and facilitate solutions to problems, mediate among mental and external representations, and off-load cognitive demands. However, engaging in model generation, comprehension, and transformation requires the orchestration of domain…
Descriptors: Undergraduate Students, Problem Solving, Barriers, Simulation
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Ezz, Mohamed; Elshenawy, Ayman – Education and Information Technologies, 2020
Some of the educational organizations have multi-education paths such as engineering and medicine collages. In such colleges, the behavior of the student in the preparatory year determines which education path the student will join in the future. In this paper, an adaptive recommendation system is proposed for predicting a suitable education…
Descriptors: Educational Technology, Artificial Intelligence, Computation, Mathematics
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Coleman, Emma; Shealy, Tripp; Grohs, Jacob; Godwin, Allison – Journal of Engineering Education, 2020
Background: Prior researchers developed an instrument to measure perceived design thinking ability of first-year students interested in engineering, and they validated the instrument through exploratory factor analysis. Purpose/Hypothesis: Our study uses the previously developed instrument to evaluate perceived design thinking ability of senior…
Descriptors: College Freshmen, College Seniors, Engineering Education, National Surveys
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