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1. Developing two-year college student engineering technology career profiles

   https://doi.org/10.18260/1-2--36945  

   Frady, K. ; Brown, C. ; High, K. ; Hughes, C. ; O’Hara, R. ; & Huang, S. ( July 2021 , Annual American Society for Engineering Education Conference)

   There is little research or understanding of curricular differences between two- and four-year programs, career development of engineering technology (ET) students, and professional preparation for ET early career professionals [1]. Yet, ET credentials (including certificates, two-, and four-year degrees) represent over half of all engineering credentials awarded in the U.S [2]. ET professionals are important hands-on members of engineering teams who have specialized knowledge of components and engineering systems. This research study focuses on how career orientations affect engineering formation of ET students educated at two-year colleges. The theoretical framework guiding this study is Social Cognitive Career Theory (SCCT). SCCT is a theory which situates attitudes, interests, and experiences and links self-efficacy beliefs, outcome expectations, and personal goals to educational and career decisions and outcomes [3]. Student knowledge of attitudes toward and motivation to pursue STEM and engineering education can impact academic performance and indicate future career interest and participation in the STEM workforce [4]. This knowledge may be measured through career orientations or career anchors. A career anchor is a combination of self-concept characteristics which includes talents, skills, abilities, motives, needs, attitudes, and values. Career anchors can develop over time and aid in shaping personal and career identity [6].more »The purpose of this quantitative research study is to identify dimensions of career orientations and anchors at various educational stages to map to ET career pathways. The research question this study aims to answer is: For students educated in two-year college ET programs, how do the different dimensions of career orientations, at various phases of professional preparation, impact experiences and development of professional profiles and pathways? The participants (n=308) in this study represent three different groups: (1) students in engineering technology related programs from a medium rural-serving technical college (n=136), (2) students in engineering technology related programs from a large urban-serving technical college (n=52), and (3) engineering students at a medium Research 1 university who have transferred from a two-year college (n=120). All participants completed Schein’s Career Anchor Inventory [5]. This instrument contains 40 six-point Likert-scale items with eight subscales which correlate to the eight different career anchors. Additional demographic questions were also included. The data analysis includes graphical displays for data visualization and exploration, descriptive statistics for summarizing trends in the sample data, and then inferential statistics for determining statistical significance. This analysis examines career anchor results across groups by institution, major, demographics, types of educational experiences, types of work experiences, and career influences. This cross-group analysis aids in the development of profiles of values, talents, abilities, and motives to support customized career development tailored specifically for ET students. These findings contribute research to a gap in ET and two-year college engineering education research. Practical implications include use of findings to create career pathways mapped to career anchors, integration of career development tools into two-year college curricula and programs, greater support for career counselors, and creation of alternate and more diverse pathways into engineering. Words: 489 References [1] National Academy of Engineering. (2016). Engineering technology education in the United States. Washington, DC: The National Academies Press. [2] The Integrated Postsecondary Education Data System, (IPEDS). (2014). Data on engineering technology degrees. [3] Lent, R.W., & Brown, S.B. (1996). Social cognitive approach to career development: An overivew. Career Development Quarterly, 44, 310-321. [4] Unfried, A., Faber, M., Stanhope, D.S., Wiebe, E. (2015). The development and validation of a measure of student attitudes toward science, technology, engineeirng, and math (S-STEM). Journal of Psychoeducational Assessment, 33(7), 622-639. [5] Schein, E. (1996). Career anchors revisited: Implications for career development in the 21st century. Academy of Management Executive, 10(4), 80-88. [6] Schein, E.H., & Van Maanen, J. (2013). Career Anchors, 4th ed. San Francisco: Wiley.« less
2. Exploring the Relationship Between Students’ Engineering Identity and Leadership Self-Efficacy

   Schell, William J. ; Hughes, Bryce E. ; Tallman, Brett ; Annand, Emma ; Beigel, Romy ; Kwapisz, Monika B. ( June 2019 , American Society for Engineering Education)

   In order to lead the social process required to solve society’s grandest challenges and ensure that the capabilities of an expanded engineering workforce are successfully harnessed, new engineers must be more than just technical experts, they must also be technical leaders. Thankfully, greater numbers of engineering educators are recognizing this need and are consequently establishing engineering leadership certificates, minors, and even full degree programs through centers at universities throughout the country. However, for these programs to reach their full potential, engineering educators must be successful in integrating leadership into the very identity of engineers. This study seeks to better understand the relationship between engineering identity and leadership, so tools can be developed that enable engineering educators to more effectively integrate leadership into an engineering identity. This paper explores this relationship using a national sample of 918 engineering students who participated in the 2013 College Senior Survey (CSS). The CSS is administered by the Higher Education Research Institute (HERI) at UCLA to college students at the end of their fourth year of college; data from the CSS are then matched to students’ prior responses on the 2009 Freshman Survey (TFS), which was administered when they first started college, to create amore »longitudinal sample. Using a leadership construct developed by HERI as the outcome variable, this work utilizes Hierarchical Linear Modelling (HLM) to examine the impact of engineering identity and a host of other factors shown to be important in college student development on leadership. HLM is especially appropriate since individual student cases are grouped by schools, and predictor variables include both student-level and institution-level variables. The leadership construct, referred to as leadership self-efficacy in this work, includes self-rated growth in leadership ability, self-rating of leadership ability relative to one’s peers, participation in a leadership role and/or leadership training, and perceived effectiveness leading an organization. The primary independent variable of interest was a factor measuring engineering identity comprised of items available on both the TFS and CSS instruments. Including this measure of engineering identity from two different time periods in the model provides the relationship between engineering identity in the fourth year and leadership self-efficacy, controlling for engineering identity in the first year as a pretest. Statistically significant results were found across each of the areas tested, including the fourth-year engineering identity factor as well as several collegiate experiences, pre-college experiences, major, and institutional variables. Taken together, these results present a nuanced picture of what matters to predicting leadership outcomes for undergraduate engineering students. For example, while engineering identity is a significant positive predictor of the leadership construct, computer engineers score lower than mechanical engineers on leadership, while interacting with faculty appears to enhance leadership self-efficacy.« less
3. Riding the Wave of Change in Electrical and Computer Engineering

   https://doi.org/10.18260/1-2--28807  

   Rover, Diane ; Zambreno, Joseph ; Mina, Mani ; Jones, Phillip ; Jacobson, Douglas ; McKilligan, Seda ; Khokhar, Ashfaq ( June 2017 , 2017 ASEE Annual Conference)

   Electrical and computer engineering technologies have evolved into dynamic, complex systems that profoundly change the world we live in. Designing these systems requires not only technical knowledge and skills but also new ways of thinking and the development of social, professional and ethical responsibility. A large electrical and computer engineering department at a Midwestern public university is transforming to a more agile, less traditional organization to better respond to student, industry and society needs. This is being done through new structures for faculty collaboration and facilitated through departmental change processes. Ironically, an impetus behind this effort was a failed attempt at department-wide curricular reform. This failure led to the recognition of the need for more systemic change, and a project emerged from over two years of efforts. The project uses a cross-functional, collaborative instructional model for course design and professional formation, called X-teams. X-teams are reshaping the core technical ECE curricula in the sophomore and junior years through pedagogical approaches that (a) promote design thinking, systems thinking, professional skills such as leadership, and inclusion; (b) contextualize course concepts; and (c) stimulate creative, socio-technical-minded development of ECE technologies. An X-team is comprised of ECE faculty members including the primary instructor, anmore »engineering education and/or design faculty member, an industry practitioner, context experts, instructional specialists (as needed to support the process of teaching, including effective inquiry and inclusive teaching) and student teaching assistants. X-teams use an iterative design thinking process and reflection to explore pedagogical strategies. X-teams are also serving as change agents for the rest of the department through communities of practice referred to as Y-circles. Y-circles, comprised of X-team members, faculty, staff, and students, engage in a process of discovery and inquiry to bridge the engineering education research-to-practice gap. Research studies are being conducted to answer questions to understand (1) how educators involved in X-teams use design thinking to create new pedagogical solutions; (2) how the middle years affect student professional ECE identity development as design thinkers; (3) how ECE students overcome barriers, make choices, and persist along their educational and career paths; and (4) the effects of department structures, policies, and procedures on faculty attitudes, motivation and actions. This paper will present the efforts that led up to the project, including failures and opportunities. It will summarize the project, describe related work, and present early progress implementing new approaches.« less
4. ABET & Engineering Accreditation - History, Theory, Practice: Initial Findings from a National Study on the Governance of Engineering Education

   Akera, A. ( January 2019 , ASEE Annual Conference proceedings)

   Who and by what means do we ensure that engineering education evolves to meet the ever changing needs of our society? This and other papers presented by our research team at this conference offer our initial set of findings from an NSF sponsored collaborative study on engineering education reform. Organized around the notion of higher education governance and the practice of educational reform, our open-ended study is based on conducting semi-structured interviews at over three dozen universities and engineering professional societies and organizations, along with a handful of scholars engaged in engineering education research. Organized as a multi-site, multi-scale study, our goal is to document differences in perspectives and interest the exist across organizational levels and institutions, and to describe the coordination that occurs (or fails to occur) in engineering education given the distributed structure of the engineering profession. This paper offers for all engineering educators and administrators a qualitative and retrospective analysis of ABET EC 2000 and its implementation. The paper opens with a historical background on the Engineers Council for Professional Development (ECPD) and engineering accreditation; the rise of quantitative standards during the 1950s as a result of the push to implement an engineering science curriculum appropriate tomore »the Cold War era; EC 2000 and its call for greater emphasis on professional skill sets amidst concerns about US manufacturing productivity and national competitiveness; the development of outcomes assessment and its implementation; and the successive negotiations about assessment practice and the training of both of program evaluators and assessment coordinators for the degree programs undergoing evaluation. It was these negotiations and the evolving practice of assessment that resulted in the latest set of changes in ABET engineering accreditation criteria (“1-7” versus “a-k”). To provide an insight into the origins of EC 2000, the “Gang of Six,” consisting of a group of individuals loyal to ABET who used the pressure exerted by external organizations, along with a shared rhetoric of national competitiveness to forge a common vision organized around the expanded emphasis on professional skill sets. It was also significant that the Gang of Six was aware of the fact that the regional accreditation agencies were already contemplating a shift towards outcomes assessment; several also had a background in industrial engineering. However, this resulted in an assessment protocol for EC 2000 that remained ambiguous about whether the stated learning outcomes (Criterion 3) was something faculty had to demonstrate for all of their students, or whether EC 2000’s main emphasis was continuous improvement. When it proved difficult to demonstrate learning outcomes on the part of all students, ABET itself began to place greater emphasis on total quality management and continuous process improvement (TQM/CPI). This gave institutions an opening to begin using increasingly limited and proximate measures for the “a-k” student outcomes as evidence of effort and improvement. In what social scientific terms would be described as “tactical” resistance to perceived oppressive structures, this enabled ABET coordinators and the faculty in charge of degree programs, many of whom had their own internal improvement processes, to begin referring to the a-k criteria as “difficult to achieve” and “ambiguous,” which they sometimes were. Inconsistencies in evaluation outcomes enabled those most discontented with the a-k student outcomes to use ABET’s own organizational processes to drive the latest revisions to EAC accreditation criteria, although the organization’s own process for member and stakeholder input ultimately restored much of the professional skill sets found in the original EC 2000 criteria. Other refinements were also made to the standard, including a new emphasis on diversity. This said, many within our interview population believe that EC 2000 had already achieved much of the changes it set out to achieve, especially with regards to broader professional skills such as communication, teamwork, and design. Regular faculty review of curricula is now also a more routine part of the engineering education landscape. While programs vary in their engagement with ABET, there are many who are skeptical about whether the new criteria will produce further improvements to their programs, with many arguing that their own internal processes are now the primary drivers for change.« less
5. Partnering Undergraduate Engineering Students with Preservice Teachers to Design and Teach an Elementary Engineering Lesson Through Ed+gineering

   Gutierrez, K. ; Ringleb, S. ; Kidd, J. ; Ayala, O. ; Pazos, P. ; Kaipa, K. ( June 2020 , 2020 ASEE Virtual Annual Conference Content Access, Virtual Online)

   Major challenges in engineering education include retention of undergraduate engineering students (UESs) and continued engagement after the first year when concepts increase in difficulty. Additionally, employers, as well as ABET, look for students to demonstrate non-technical skills, including the ability to work successfully in groups, the ability to communicate both within and outside their discipline, and the ability to find information that will help them solve problems and contribute to lifelong learning. Teacher education is also facing challenges given the recent incorporation of engineering practices and core ideas into the Next Generation Science Standards (NGSS) and state level standards of learning. To help teachers meet these standards in their classrooms, education courses for preservice teachers (PSTs) must provide resources and opportunities to increase science and engineering knowledge, and the associated pedagogies. To address these challenges, Ed+gineering, an NSF-funded multidisciplinary collaborative service learning project, was implemented into two sets of paired-classes in engineering and education: a 100 level mechanical engineering class (n = 42) and a foundations class in education (n = 17), and a fluid mechanics class in mechanical engineering technology (n = 23) and a science methods class (n = 15). The paired classes collaborated in multidisciplinary teams ofmore »5-8 undergraduate students to plan and teach engineering lessons to local elementary school students. Teams completed a series of previously tested, scaffolded activities to guide their collaboration. Designing and delivering lessons engaged university students in collaborative processes that promoted social learning, including researching and planning, peer mentoring, teaching and receiving feedback, and reflecting and revising their engineering lesson. The research questions examined in this pilot, mixed-methods research study include: (1) How did PSTs’ Ed+gineering experiences influence their engineering and science knowledge?; (2) How did PSTs’ and UESs’ Ed+gineering experiences influence their pedagogical understanding?; and (3) What were PSTs’ and UESs’ overall perceptions of their Ed+gineering experiences? Both quantitative (e.g., Engineering Design Process assessment, Science Content Knowledge assessment) and qualitative (student reflections) data were used to assess knowledge gains and project perceptions following the semester-long intervention. Findings suggest that the PSTs were more aware and comfortable with the engineering field following lesson development and delivery, and often better able to explain particular science/engineering concepts. Both PSTs and UESs, but especially the latter, came to realize the importance of planning and preparing lessons to be taught to an audience. UESs reported greater appreciation for the work of educators. PSTs and UESs expressed how they learned to work in groups with multidisciplinary members—this is a valuable lesson for their respective professional careers. Yearly, the Ed+gineering research team will also request and review student retention reports in their respective programs to assess project impact.« less