Outcomes of a Longitudinal Administration of the Persistence in Engineering Survey

Background Understanding more about student decisions to leave engineering may lead to higher retention. This study builds on the literature and focuses on the experiences of a cohort of students who aimed to complete their undergraduate work in 2007. Purpose (Hypothesis ) This paper presents the outcomes of the longitudinal administration of the Persistence in Engineering survey. The goal was to identify correlates of persistence in undergraduate engineering education and professional engineering practice. Design /Method The survey was administered seven times over four years to a cohort of students who had expressed interest in studying engineering. At the end of the study, the participants were categorized as persisters or non‐persisters. Repeated measures analysis of variance was used, in conjunction with other approaches, to test for differences between the groups. Results Persisters and non‐persisters did not differ significantly according to the majority of the constructs. Nevertheless, parental and high school mentor influences as a motivation to study engineering, as well as confidence in math and science skills, were identified as correlates of persistence. Intention to complete an engineering major was also a correlate of persistence; it appears to decline sharply at least two semesters prior to students leaving engineering. The findings also suggest that there might be differences among non‐persisters when they are further grouped by when they leave engineering. Conclusions Facilitating higher levels of mentor involvement before college might increase student motivation to study engineering, and also constitute a mechanism for fostering confidence in math and science skills. Since the intention to complete an engineering degree decreases well before students act, there may be opportunities for institutions to develop targeted interventions for students, and help them make informed decisions.     

Persistence,Engagement, and Migration in Engineering Programs

Records from the Multiple‐Institution Database for Investigating Engineering Longitudinal Development indicate that engineering students are typical of students in other majors with respect to: persistence in major; persistence by gender and ethnicity; racial/ethnic distribution; and grade distribution. Data from the National Survey of Student Engagement show that this similarity extends to engagement outcomes including course challenge, faculty interaction, satisfaction with institution, and overall satisfaction. Engineering differs from other majors most notably by a dearth of female students and a low rate of migration into the major. Noting the similarity of students of engineering and other majors with respect to persistence and engagement, we propose that engagement is a precursor to persistence. We explore this hypothesis using data from the Academic Pathways Study of the Center for the Advancement of Engineering Education. Further exploration reveals that although persistence and engagement do not vary as much as expected by discipline, there is significant institutional variation, and we assert a need to address persistence and engagement at the institutional level and throughout higher education. Finally, our findings highlight the potential of making the study of engineering more attractive to qualified students. Our findings suggest that a two‐pronged approach holds the greatest potential for increasing the number of students graduating with engineering degrees: identify programming that retains the students who come to college committed to an engineering major, and develop programming and policies that allow other students to migrate in. There is already considerable discourse on persistence, so our findings suggest that more research focus is needed on the pathways into engineering, including pathways from other majors.     

The Relations of Ethnicity to Female Engineering Students' Educational Experiences and College and Career Plans in an Ethnically Diverse Learning Environment

This paper describes a mixed‐methods study employing a social cognitive theoretical framework that emphasizes the interplay of person factors, environment, and behavior to explore the educational experiences of female students in an ethnically diverse learning environment. Specifically, we investigate the relations of ethnicity to female students' perceptions and experiences related to engineering, as well as their selection of and persistence in undergraduate engineering majors. An ethnically diverse sample of female engineering undergraduates at an urban research university completed an online survey and participated in semi‐structured interviews. Results revealed that participants of all ethnicities perceived strong institutional and peer supports in this diverse learning environment. Additionally, differences in participants' perceived barriers for achieving engineering educational and career plans were found based on ethnicity and parental level of education.     

Why Do Students Choose Engineering? A Qualitative,Longitudinal Investigation of Students' Motivational Values

Background Recently published reports call for an increase in the number of engineering graduates and suggest appropriate characteristics that these graduates should embody. Accomplishing such change first requires understanding why students choose to pursue engineering degrees. Purpose (Hypothesis ) Framed in motivation theory, our purpose was to better understand how students choose engineering by answering the question: How do engineering students' engineering‐related value beliefs contribute to their choices to engage and persist in earning engineering degrees? Design /Method This research uses Eccles' expectancy‐value theory in a qualitative, longitudinal examination of undergraduate students' choices to enroll and persist in engineering majors. In particular, the focus of this work is Eccles' subjective task value (STV) construct, which incorporates the personal importance an individual assigns to engaging in an activity. Using a multiple case study method approach, participants included eleven students (five men and six women) at a U.S. technical school. Results Results demonstrate that different patterns exist in the types of value or personal importance that participants assign to earning an engineering degree. Moreover, a primary differentiating feature of these patterns is whether or not participants choose engineering because it is consistent with their personal identity or sense of self. Conclusions We conclude that values are very important in students' choices to become engineers. To increase persistence rates we must focus on values, especially by helping students connect their personal identities to engineering identities.     

Evaluation of a Challenge‐based Human Metabolism Laboratory for Undergraduates

This paper discusses an effort to enhance the learning and affective experience of students in a laboratory module in metabolism through the use of the “How People Learn” framework, which is grounded in educational theory and research. The laboratory, which was a component of a systems physiology course in biomedical engineering, was modified such that some students had educational experiences informed by How People Learn principles while other students encountered a more traditional laboratory. Students were compared on a number of dimensions including knowledge acquisition, ability to use information to solve problems, transfer, and perceptions of their course experience. Several differences were observed between groups, with students in the “How People Learn” group out‐performing controls on measures that required a deeper ability to use the material, but not differing in basic acquisition of information. Implications for the development of similar laboratories are discussed.     

Engineering in Context: An Empirical Study of Freshmen Students' Conceptual Frameworks

Calls for curricular reform in engineering include teaching engineering principles in the broader context of society. In this paper, we empirically investigate how freshmen students perceive the broader societal context of science and technology. We explored the questions:

• ? What is the framework of knowledge and attitudes of engineering freshmen on science, technology and society (STS) issues?
• ? How different are their frameworks from those of students in other majors?
• ? We used a structured, open-ended interview methodology to elicit knowledge about two STS issues: “human energy needs” and “global climate change.” Our sample consists of ninety-two students. Each student was interviewed about one topic. First, we found that there was no difference in the attitude expressed about technology by engineering students and students who are not engineering majors. Both groups think science and technology solve problems more often than they create problems. Second, we found that, although the difference is not large, engineering students consistently mentioned more concepts than students with other majors, and they mentioned these concepts more often. Qualitatively, the specific concepts mentioned by the two groups were almost identical for both topics. The engineering students mentioned more technological concepts and students in other majors mentioned more societal concepts for the human energy needs topic. In summary, the knowledge and perceptions of STS issues of freshmen engineering students and students who are not engineering majors are largely similar. This suggests that common, interdisciplinary STS courses are a good approach for providing general technological literacy for both groups.

     

Understanding Our Students: A Longitudinal‐Study of Success and Failure in Engineering With Implications for Increased Retention

In spite of considerable research about the poor retention rate of undergraduate engineering students, we still have an inadequate understanding of the factors that affect students' decisions to remain in engineering programs and their ability to perform well enough to be retained. Although continued study is needed of external factors such as curricular requirements, admissions criteria, and test scores, we also need to know much more about the relationships between curricular experiences and students' learning styles, habits, and attitudes. The work presented in this paper was designed to enhance educators' understanding of the factors that underlie the concern about student retention in engineering. By observing 1,000 engineering students during their first three years in college, the research team generated a large database on the students' academic and non‐academic characteristics as well as their successes and failures. The traits discovered not only support many findings from previous studies but also reveal some new relationships that could prove essential to designing an educational environment that will prepare engineers for success in the future.     

Factors Associated With Persistence in Science and Engineering Majors: An Exploratory Study Using Classification Trees and Random Forests

Many students who start college intending to major in science or engineering do not graduate, or decide to switch to a non‐science major. We used the recently developed statistical method of random forests to obtain a new perspective of variables that are associated with persistence to a science or engineering degree. We describe classification trees and random forests and contrast the results from these methods with results from the more commonly used method of logistic regression. Among the variables available in Arizona State University data, high school and freshman year GPAs have highest importance for predicting persistence; other variables such as number of science and engineering courses taken freshman year are important for subgroups of the student population. The method used in this study could be employed in other settings to identify faculty practices, teaching methods, and other factors that are associated with high persistence to a degree.     

An Engineering Major Does Not (Necessarily) an Engineer Make: Career Decision Making Among Undergraduate Engineering Majors

This study uses a mixed‐methods design to investigate students' career decision making at two U.S. undergraduate institutions. The research question was, “To what extent do students who complete undergraduate programs in engineering intend to pursue engineering careers?” We surveyed senior engineering majors about their post‐graduate intentions, and later interviewed a subset of the seniors about their career intentions. Only 42 percent of students surveyed reported that they definitely intended to pursue a career in engineering, 44 percent were unsure, and 14 percent were definitely not pursuing engineering. We observed significant institutional differences. Interview data reveal the quixotic nature of many students' decisions about their careers; strikingly, students were vacillating between multiple post‐graduate options late into the senior year, even into summer. Implications are discussed for further research and ways engineering departments can influence students' career decisions.     

A Multimodal Exploration of Engineering Students' Emotions and Electrodermal Activity in Design Activities

Background

This exploratory study uses multimodal approaches to explore undergraduate student engagement via topic emotions and electrodermal activity (EDA) in different engineering design method activities and with different instructional delivery formats (e.g., lecture vs. active learning).

Purpose/Hypothesis

The goal of this research is to improve our understanding of how students respond, via engagement, to their engineering design activities during class. This study hypothesizes that students would experience no self‐reported mean changes in topic emotions from their preassessment scores for each engineering design topic and instructional format nor would electrodermal activities (EDA) associate to these topic emotions throughout the design activities.

Design/Method

Eighty‐eight freshmen engineering students completed online pretopic and posttopic emotions surveys for five engineering design activities. A subset of 14–18 participants, the focal point of this study, wore an EDA sensor while completing the surveys and participating in these sessions.

Results

Preliminary findings suggest that EDA increased for individual and collaborative active learning activities compared to lectures. No significant changes in EDA were found between individual and collaborative active learning activities. Moderate negative correlations were found between EDA and negative topic emotions in the first engineering design activity but not across the rest. At the end of the semester, active learning activities showed higher effect sizes indicating a re‐enforcement of students' engagement in the engineering design method activities.

Conclusion

This study provides initial results showing how multimodal approaches can help researchers understand students' closer‐to‐real‐time engagement in engineering design topics and instructional delivery formats.     

Optimizing Worked‐Example Instruction in Electrical Engineering: The Role of Fading and Feedback during Problem‐Solving Practice

How can we help college students develop problem‐solving skills in engineering? To answer this question, we asked a group of engineering freshmen to learn about electrical circuit analysis with an instructional program that presented different problem‐solving practice and feedback methods. Three findings are of interest. First, students who practiced by solving all problem steps and those who practiced by solving a gradually increasing number of steps starting with the first step first (forward‐fading practice) produced higher near‐transfer scores than those who were asked to solve a gradually increasing number of steps but starting with the last step first (backward‐fading practice). Second, students who received feedback immediately after attempting each problem‐solving step outperformed those who received total feedback on near transfer. Finally, students who learned with backward‐fading practice produced higher near‐ and far‐transfer scores when feedback included the solution of a similar worked‐out problem. The theoretical and practical implications for engineering education are discussed.     

Implementation of Interdisciplinary Group Learning and Peer Assessment in a Nanotechnology Engineering Course

Nanotechnology is an inherently interdisciplinary field that has generated significant scientific and engineering interest in recent years. In an effort to convey the excitement and opportunities surrounding this discipline to senior undergraduate students and junior graduate students, a nanotechnology engineering course has been developed in the Department of Materials Science and Engineering at Northwestern University over the past two years. This paper examines the unique challenges facing educators in this dynamic, emerging field and describes an approach for the design of a nanotechnology engineering course employing the non‐traditional pedagogical practices of collaborative group learning, interdisciplinary learning, problem‐based learning, and peer assessment. Utilizing the same nanotechnology course given the year before as a historical control, analysis of the difference between measures of student performance and student experience over the two years indicates that these practices are successful and provide an educationally informed template for other newly developed engineering courses.     

Enhancing Core Competency Learning in an Integrated Summer Research Experience for Bioengineers

In the summer Research Experience for Undergraduates offered by the NSF‐sponsored VaNTH Engineering Research Center in Bioengineering, core competency instruction in ethics and communication was integrated into students' research experiences outside of formal courses. This paper describes our instructional approach and presents an initial evaluation of its effectiveness. A simple concept mapping assessment used at the beginning and end of the summer suggests that students made gains in both areas. In ethics, students developed greater awareness of key concepts, such as respect for persons (informed consent), beneficence, justice, and integrity. Gains in communication were more modest, but the maps revealed growth in understanding the importance of audience and the multifaceted nature of technical communication. Overall, the study suggests that students can make measurable strides in core competencies without taking formal courses. Future research should consider integrating components of our intervention into other non‐credit experiences for engineering undergraduates.     

Is Modeling of Freshman Engineering Success Different from Modeling of Non‐Engineering Success?

The engineering community has recognized the need for a higher retention rate in freshman engineering. If we are to increase the freshman retention rate, we need to better understand the characteristics of academic success for engineering students. One approach is to compare academic performance of engineering students to that of non‐engineering students. This study explores the differences in predicting academic success (defined as the first year GPA) for freshman engineering students compared to three non‐engineering student sectors (Pre‐Med, STEM, and non‐STEM disciplines) within a university. Academic success is predicted with pre‐college variables from the UCLA/CIRP survey using factor analysis and regression analysis. Except for the factor related to the high school GPA and rank, the predictors for each student sector were discipline specific. Predictors unique to the engineering sector included the factors related to quantitative skills (ACT Math and Science test scores and placement test scores) and confidence in quantitative skills.     

An Intervention to Address Gender Issues in a Course on Design,Engineering, and Technology for Science Educators

A course on design, engineering, and technology based on Bandura's theory of self‐efficacy was taught to nine science education graduate students who were also practicing teachers. The interpretive analysis method was used to code and analyze qualitative data from focus groups, weekly reflections on classes and readings, and pre‐, post‐, and delayed‐post course questions. The improvement in tinkering and technical self‐efficacies for five males was limited because of initially higher self‐efficacies while that for four females was moderate to high, especially when working in same‐sex teams in a non‐competitive environment. All students also increased their understanding of the societal relevance of engineering and their ability to transfer engineering concepts to pre‐college classrooms. Implementing the principles employed in this intervention in pre‐college science and university engineering classrooms could help recruit students into engineering as well as help retain both male and female undergraduate engineering students.     

Everyday Problem Solving in Engineering: Lessons for Engineering Educators

Practicing engineers are hired, retained, and rewarded for solving problems, so engineering students should learn how to solve workplace problems. Workplace engineering problems are substantively different from the kinds of problems that engineering students most often solve in the classroom; therefore, learning to solve classroom problems does not necessarily prepare engineering students to solve workplace problems. These qualitative studies of workplace engineering problems identify the attributes of workplace problems. Workplace problems are ill‐structured and complex because they possess conflicting goals, multiple solution methods, non‐engineering success standards, non‐engineering constraints, unanticipated problems, distributed knowledge, collaborative activity systems, the importance of experience, and multiple forms of problem representation. Some implications for designing engineering curricula and experiences that better prepare students for solving workplace problems are considered.     

Gender Differences in Elements of the Undergraduate Experience that Influence Satisfaction with the Engineering Major and the Intent to Pursue Engineering as a Career

Background Groups within and outside of educational institutions are interested in factors that influence satisfaction among students enrolled in the engineering major as well as elements within the college environment that shape students' intentions to work in engineering in the future and whether these elements differ by gender. Purpose (Hypothesis ) This study identified gender differences on indicators of the undergraduate experience including faculty‐related and student‐related variables as well as measures of satisfaction with the institutional environment that are related to satisfaction with the engineering major and intent to pursue a career in engineering ten years from now. Design /Method The mixed methods approach used for this investigation involved nine institutions with engineering undergraduate degree programs. An online questionnaire was administered to undergraduate students enrolled in engineering. Qualitative data was collected through focus group interviews with students at each of the nine participating institutions. Results Findings reveal that satisfaction with the engineering major does not translate directly to pursuing a career in engineering, particularly among women. In terms of elements of the undergraduate experience, some types of interactions with faculty and peers have both short‐ and long‐term impacts on interest in engineering as a major and as a career. Conclusions Creating learning environments that emphasize care and respect for students as well as overseeing student interaction during group work can make a difference in students' satisfaction in the engineering major and in interest in engineering as a career, particularly for women.     

Development of a Classification System for Engineering Student Characteristics Affecting College Enrollment and Retention

Background In engineering education, a considerable amount of research effort has been dedicated to study the impacts of student characteristics on their college enrollment, major selection, and college retention. However, there is no standardized categorical classification system of engineering student characteristics in the current literature. Different researchers tend to focus on specific characteristics within the scope of their research interests. This study provides a comprehensive review and analysis of the existing research on the measurement of the characteristics of engineering students. Purpose The study addressed the three questions: (1) what engineering student characteristics have been measured; (2) how do engineering student characteristics impact their educational outcomes; and (3) what measurement and analysis methods have been applied in current studies? A standardized classification system for engineering student characteristics involving external, cognitive, affective, and demographic categories is also proposed. Scope /Method The study focused on engineering education. Representative research regarding common characteristics of students from majors of science, technology, engineering, and mathematics were also included. The review covers major academic journals, research books, conference proceedings, and government reports in the areas of science and engineering education for the past two decades. Conclusions The review analysis indicated that students with certain characteristics are more likely to choose engineering as a profession and that those characteristics are either correlated or causally related with one another. However, many research conclusions based on basic statistical analyses fail to model the interaction effects. More advanced measurement techniques are needed that can model the characteristics interactively and concurrently in a complete framework.     

Ethics and the Development of Professional Identities of Engineering Students

How do undergraduate students in engineering conceive of themselves as professionals? How can a course on engineering ethics affect the development of an undergraduate student's professional identity? In this project, students responded to questions about the characteristics and responsibilities of professional engineers. The results indicate that students learn about professionalism primarily from relatives and co‐workers who are engineers, and rarely from technical engineering courses. Even before they study engineering ethics, students put honesty and integrity on par with technical competence as an essential characteristic of engineers. In the course, students benefit from cases of actual incidents and from classroom activities that encourage diverse perspectives on moral problems. By analyzing cases in groups and by hearing different perspectives, students build self‐confidence in moral reasoning. By the end of the course, some students understand professional responsibility not only as liability for blame but in a capacious sense as stewardship for society.