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Guadalupe Elizabeth Morales-Martinez; Ricardo Jesus Villarreal-Lozano; Maria Isolde Hedlefs-Aguilar – International Journal of Emotional Education, 2025
This research study explored the systematic thinking modes underlying test anxiety in 706 engineering students through an experiment centred on the cognitive algebra paradigm. The participants had to read 36 experimental scenarios that narrated an imaginary academic assessment situation one by one and then judge the level of anxiety they…
Descriptors: Engineering Education, Cognitive Style, College Students, Student Attitudes
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Miskioglu, Elif Eda; Aaron, Caitlyn; Bolton, Caroline; Martin, Kaela M.; Roth, Madeline; Kavale, Sanjeev M.; Carberry, Adam R. – Journal of Engineering Education, 2023
Background: A defining characteristic of expertise is the use of intuition to navigate tasks. The construct of intuition and its importance is well-studied in other disciplines, but little is known about how it translates to engineering. Existing literature on intuition does not clearly define the construct and its relationship to problem solving,…
Descriptors: Intuition, Engineering, Expertise, Decision Making
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Shannon M. Clancy; Laura R. Murphy; Shanna R. Daly; Colleen M. Seifert – International Journal of Technology and Design Education, 2024
Engineering designers often generate multiple concepts to increase novelty and diversity among early solution candidates. Many past studies have focused on creating new concepts "from scratch;" however, designers at every level become fixated on their initial designs and struggle to generate different ideas. In line with prior work on…
Descriptors: Concept Formation, Cognitive Processes, Design, Heuristics
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Sasha Nikolic; Thomas F. Suesse; Sarah Grundy; Rezwanul Haque; Sarah Lyden; Ghulam M. Hassan; Scott Daniel; Marina Belkina; Sulakshana Lal – European Journal of Engineering Education, 2024
The literature on laboratory objectives in engineering education research is scattered and inconsistent. Systematic literature reviews identified the need for better understanding. This paper ranks the laboratory learning objectives across the cognitive, psychomotor and affective domains to improve scaffolding. It provides an opportunity for…
Descriptors: Engineering Education, Laboratories, Educational Objectives, Cognitive Processes
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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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Mary Katherine Watson; Elise M. Barrella; Kevin Skenes – Journal of Civil Engineering Education, 2024
At the onset of the COVID-19 pandemic, The Citadel transitioned from a face-to-face to an emergency online modality. We conducted a study to track changes in self-directed learning readiness (SDLR) among engineering students during the Spring 2020 semester, including trends based on demographic, performance, and cognitive load factors. SDLR was…
Descriptors: Independent Study, Undergraduate Students, Engineering Education, COVID-19
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Nirit Yuviler-Gavish; Omer Muati; Bar Hodya Gabbay – Interactive Learning Environments, 2024
The fourth industrial revolution and the rise of collaborative robots (cobots) in industrial assembly lines are changing the traditional role of human operators in assembly tasks from following a sequence of operations to working together with a cobot and being able to intervene at different stages of the assembly process. Hence, it is important…
Descriptors: Cognitive Processes, Cooperation, Robotics, Manufacturing
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Rajni Singh; Kuldip Singh Sangwan; Devika Sangwan – Journal of Applied Research in Higher Education, 2024
Purpose: This study seeks insights into the engineering undergraduates' knowledge of problem-solving process, teamwork characteristics and communication skills. Design/methodology/approach: The data for the study were collected through consecutive sampling technique from 78 engineering undergraduates at the Birla Institute of Technology and…
Descriptors: Foreign Countries, Knowledge Level, Undergraduate Students, Undergraduate Study
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Hsing, Hsiang-Wen; Bairaktarova, Diana; Lau, Nathan – Journal of Engineering Education, 2023
Background: Spatial problem-solving is an essential skill for success in many engineering disciplines; thus, understanding the cognitive processes involved could help inform the design of training interventions for students trying to improve this skill. Prior research has yet to investigate the differences in cognitive processes between spatial…
Descriptors: Eye Movements, Cognitive Processes, Problem Solving, Engineering Education
Barker, Rick Don – ProQuest LLC, 2023
While some engineering students develop proper critical thinking skills, most engineering students do not. Engineers must critically think to tackle various problems on the job, but many schools do not properly instill critical thinking in engineering students. With engineers working on multiple tasks in little time, a knowledge of critical…
Descriptors: Engineering Education, Data Interpretation, Critical Thinking, Cognitive Processes
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Alejandra J. Magana; Aparajita Jaiswal; Theodora Loyce Amuah; Mariana Zamora Bula; Mohammad Shams Ud Duha; Jennifer C. Richardson – IEEE Transactions on Education, 2024
Contribution: The study characterizes aspects of cognitive and metacognitive dimensions of team cognition of software development teams in educational settings. Background: The software development industry requires software engineers and developers to work in teams; for this, there is substantial research on teamwork in the context of the…
Descriptors: Computer Software, Engineering Education, Undergraduate Students, Teamwork
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Celeste Combrinck – Discover Education, 2024
The current article used real data to demonstrate the analysis and synthesis of Mixed Methods Research (MMR) data with generative Artificial Intelligence (Gen AI). I explore how reliable and valid Gen AI data outputs are and how to improve their use. The current content is geared towards enhancing methodological application regardless of field or…
Descriptors: Foreign Countries, College Freshmen, Engineering Education, Artificial Intelligence
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Kashif Raza; Simon Li; Catherine Chua – Science & Education, 2024
Traditional engineering education (Eng. Ed) has received criticism for restricting student learning and experiences to practical skills development while ignoring the significance of fostering cognitive skills that encourage higher order thinking, criticality, and self-reflexivity. Imaginative education (IE) has emerged as a consideration for…
Descriptors: Engineering Education, Imagination, Higher Education, Conventional Instruction
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Paloma Suárez-Brito; Armando Elizondo-Noriega; Jenny Paola Lis-Gutiérrez; Carolina Henao-Rodríguez; María Rubi Forte-Celaya; José Carlos Vázquez-Parra – On the Horizon, 2025
Purpose: The purpose of this paper is to present the results of measuring a sample of engineering students' perceived achievement of complex thinking at different stages of their professional training. This study intended to analyze and predict the differences in the self-perception of achieved complex thinking competency by gender, semester,…
Descriptors: Foreign Countries, Engineering Education, Undergraduate Students, Sex
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Jacob Pleasants; Jennifer Parrish – Journal of Science Teacher Education, 2025
Elementary teachers are navigating a curriculum landscape in which engineering activities now exist alongside science. Teacher education should prepare future elementary teachers to be critical curators of curriculum resources, which includes appraising the extent to which engineering and science activities authentically reflect those fields. To…
Descriptors: Preservice Teachers, Elementary School Teachers, Cognitive Processes, Science Education
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