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Full-Text Articles in Engineering
A Qualitative Study Of Emotions Experienced By First-Year Engineering Students During Programming Tasks, Zahra Atiq, Michael C. Loui
A Qualitative Study Of Emotions Experienced By First-Year Engineering Students During Programming Tasks, Zahra Atiq, Michael C. Loui
School of Engineering Education Faculty Publications
In introductory computer programming courses, students experience a range of emotions. Students often experience anxiety and frustration when they encounter difficulties in writing programs. Continued frustration can discourage students from pursuing engineering and computing careers. Although prior research has shown how emotions affect students’ motivation and learning, little is known about students’ emotions in programming courses. In this qualitative study of first-year engineering students taking an introductory programming course, we examined the emotions that these students experienced during programming tasks and the reasons for experiencing those emotions. Our study was grounded in the control-value theory of achievement emotions. Each research …
Assessing Intuition Used Among Undergraduate Engineering Technology And Engineering Students, Melissa Cai Shi, Therese M. Azevedo, Anne M. Lucietto
Assessing Intuition Used Among Undergraduate Engineering Technology And Engineering Students, Melissa Cai Shi, Therese M. Azevedo, Anne M. Lucietto
School of Engineering Education Faculty Publications
Intuition plays an essential role in decision-making and is independent of an analytical way of thinking that is considered a gut feeling. Individuals can shape their intuition, and each field of study develops a variety of skills and trains students for a way of thinking needed for that specific area. A focus on undergraduate engineering technology students and comparing them to undergraduate engineering students allows this study to examine the types of intuition used by these two groups. The Types of Intuition Scale (TIntS), an established, validated instrument, which categorizes intuition into inferential, affective, holistic abstract, and holistic big picture …
Research Experiences Instrument Scoring Guide, Eric Holloway, Kerrie Anna Douglas, William Charles Oakes, David Radcliffe
Research Experiences Instrument Scoring Guide, Eric Holloway, Kerrie Anna Douglas, William Charles Oakes, David Radcliffe
School of Engineering Education Faculty Publications
This document is a scoring guide to assist higher-education administrators, faculty, and researchers who wish to use the Research Experiences Instrument (REI). There are five aspects, or factors, that the REI is intended to measure relative to engineering Ph.D. students’ opportunities to practice being a professional in their research experiences, and an overall REI score. Detailed scoring instructions are provided. The REI was developed to assess how the research experiences of engineering Ph.D. students are preparing them for practice. Utilizing a rigorous instrument development process, the REI was shown to be a tool that can reliably and validly be used …
Engineering Education Research, Michael C. Loui, Maura Borrego
Engineering Education Research, Michael C. Loui, Maura Borrego
School of Engineering Education Faculty Publications
This chapter describes several aspects of engineering education research with an emphasis on how they might relate to computing education research. We briefly summarize the history of engineering education as a scholarly field, and we describe the current structures that support engineering education research: academic departments, scholarly journals, annual conferences, and professional societies. We identify the theories that often inform engineering education research studies, including theories of cognition, motivation, and identity. We explain how quantitative, qualitative, and mixed methods have been used. We summarize the results of an illustrative selection of empirical studies across a broad range of topics, including …
Statistical Analysis When The Data Is An Image: Eliciting Student Thinking About Sampling And Variability., Margaret A. Hjalmarson, Tamara J. Moore, Robert Delmas
Statistical Analysis When The Data Is An Image: Eliciting Student Thinking About Sampling And Variability., Margaret A. Hjalmarson, Tamara J. Moore, Robert Delmas
School of Engineering Education Faculty Publications
Results of analysis of responses to a first-year undergraduate engineering activity are presented. Teams of students were asked to develop a procedure for quantifying the roughness of a surface at the nanoscale, which is typical of problems in Materials Engineering where qualities of a material need to be quantified. Thirty-five teams were selected from a large engineering course for analysis of their responses. The results indicate that engagement in the task naturally led teams to design a sampling plan, use or design measures of center and variability, and integrate those measures into a model to solve the stated problem. Team …