, "Depoliticization and the Structure of Engineering Education," in International Perspectives on Engineering Education, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham and B. Newberry, Eds., New York, NY, USA: Springer, 2015, pp. 203-216.[7] M. Nelson, G. D. Hoople, J. A. Mejia and S. M. Lord, "Work-in-Progress: What is Energy? Examining Engineering Students' Conceptions of Energy," in Proceedings of the ASEE Annual Conference & Exposition, Montreal, QC, Canada, 22-26 June 2020.[8] G. D. Hoople, D. A. Chen, S. M. Lord, L. A. Gelles, F. Bilow and J. A. Mejia, "An Integrated Approach to Energy Education in Engineering," Sustainability, vol. 12, no. 21, 2020.[9] R. Rincon, "SWE Research Update: Women in Engineering by
can enhance student engagement and motivation. Significant responses have been theimplementation of student-centered learning [2], [47], [48], project-based learning [49]–[52],collaborative project-based learning approach [7], [53]–[55], collaborative learning [56]–[59] tomotivate students and to support students’ constructing practical, adaptable knowledge to a real-life setting.Project-Based Collaborative Learning in Engineering In an engineering context, the term ‘project’ is perceived as a ‘unit of work,’ on the basisof client(s)’ needs [60]. Project in an engineering education setting is multi-disciplinary andhighly related to a real-life situation, and project-based learning requires the creation of concreteartifact (e.g., a
study is informed by the need to address the well-documentedunderrepresentation of low-socioeconomic status (SES) and minoritized students in engineeringand other related careers [1]–[3]. Researchers advanced that, in addition to intellectual andscientific reasons, low-income students are attracted to the major by the potential prospect ofemployment after completing a degree [1], [4]. Financial considerations are critical for low-SESengineering students; this includes considerations of financial aid and differential tuition [5].Programs such as the National Science Foundation Scholarships in STEM (S-STEM) have beenimplemented to address financial assistance of low-SES students. This study is part of alongitudinal five-year S-STEM project
engineers’ satisfaction with helping people and society through their jobs. European Journal of Engineering Education, 44(6), 939–953.Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.Canning, E. A., Harackiewicz, J. M., Priniski, S. J., Hecht, C. A., Tibbetts, Y., & Hyde, J. S. (2018). Improving performance and retention in introductory biology with a utility-value intervention. Journal of Educational Psychology, 110(6), 834.Cech, E. A. (2014). Culture of disengagement in engineering education? Science, Technology, & Human Values, 39(1), 42–72.Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of
three caregivers enacted over the course of a five-month engineering program conducted in an out-of-school context. Our research question was asfollows: What roles do caregivers enact with/for their child during a family-based engineeringdesign project? Subsequently, we considered the contextual factors of the program that seemedto influence and shape caregivers’ role enactment. Results of our work provide further evidenceof the impact of caregiver inclusion in the process of learning engineering, not only on thestudent(s) involved, but also on caregivers. Findings support the benefit of incorporating familiaradults into the engineering learning process, while providing distinct avenues by whichcaregivers might acknowledge and value their own
culturally heterogeneous process where peopleengage in various repertoires of practices and literacies rooted in different communities [12],[13], [14]. Learning is revealed to be a collective, communal, reciprocal, and agentic activitywhere meaning is created in interaction with others [13], [15], [16], [17]. And because learning issituated and contextual, it does not escape from but is in fact deeply affected by the influence ofpower relationships.Learning happens within and between communities. People grow from being more novice toexperts. In communities of practice, learning is being facilitated through network(s) of cognition[13]. When it comes to learning, the flow of power occurs between people, activities and theenvironment [13], [18]. In
-centered design typepedagogies and the parallels between students’ interdisciplinary learning and faculty learning tonavigate institutional processes to create interdisciplinary courses [20]. Her recent research hasbeen to integrate social, political, and economic contexts into technical engineering courses. Asan actor in engineering education working to integrate broader societal contexts into theengineering curriculum at Tufts University, Ozkan’s positioning as a practitioner and researcherof pedagogical change informs and motivates her to pursue this collaborative research oncontextualization.Human-Centered Design: Contextualization for Better Design(s)Research on engineering design education demonstrates how treatment of design
. Mehta, “Sustainability Across the Curriculum,” Int. J. Eng. Educ., vol. 23, no. 2, 2007.[2] J. S. Cooper, “Evolution of an interdisciplinary course in sustainability and design for environment,” Int. J. Eng. Educ., vol. 23, no. 2, pp. 294–300, 2007.[3] C. I. Davidson, C. T. Hendrickson, and H. S. Matthews, “Sustainable engineering: A sequence of courses at Carnegie Mellon,” Int. J. Eng. Educ., vol. 23, no. 2, pp. 287–293, 2007.[4] M. K. Watson, J. Pelkey, C. Noyes, and M. O. Rodgers, “Using Kolb’s Learning Cycle to Improve Student Sustainability Knowledge,” Sustainability, vol. 11, no. 17, p. 4602, Aug. 2019, doi: 10.3390/su11174602.[5] A. S. Lau, “Green design in first-year engineering,” Int. J. Eng
75th percentiles,respectively, and the whiskers extend to data points not considered to be outliers. Outliers areplotted as red +’s. If there are no boxes, then all responses besides the median response areconsidered to be outliers.Figure 1: Statistics for responses to survey question 1: How would you rate your study habits whilelearning remotely as compared to learning in person? 1=better in person, 7=better remotelyFigure 2: Statistics for responses to survey question 2: How would you rate your access to re-quired technology (e.g., computer and internet) while learning remotely as compared to learningin person? 1=better in person, 7=better remotelyAs shown in Figure 1, students generally reported a significant negative impact of
survey. Most of them are from Texas. Our next study willcertainly sample a large number of participants that better represent the population of the USA inthe warehousing and industrial distribution industry. For example, we could choose some areasin the country that have the greatest number of warehousing and distribution centers. These areashave vastly different cultures and environments. This way, the results of the study would includea better reflection of how the future of work would impact varying cultures, thus providing abetter insight into how employees and managers would be willing to accept the changes neededto incorporate new technologies into the work environment.References:[1] S. S. Bhattacharyya and S. Nair, "Explicating the
]. Available: http://arxiv.org/abs/1904.09408.[9] T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient Estimation of Word Representations in Vector Space,” arXiv:1301.3781 [cs], Sep. 2013, Accessed: Nov. 06, 2020. [Online]. Available: http://arxiv.org/abs/1301.3781.[10] J. Pennington, R. Socher, and C. Manning, “GloVe: Global Vectors for Word Representation,” in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, Oct. 2014, pp. 1532–1543, doi: 10.3115/v1/D14-1162.[11] J. Firth, A synopsis of linguistic analysis. Oxford, UK: Blackwell, 1957.[12] S. Crossley, J. Ocumpaugh, M. Labrum, F. Bradfield, M. Dascalu, and R. S. Baker, “Modeling math identity and
, the course, or the specific faculty member. This study aimed tounderstand the needs of engineering faculty members, especially those who had not workeddirectly with the engineering librarian for library resource instruction. The study was modeledafter a similar multi-site study conceived and organized by Ithaka S+R, a not-for-profitorganization that provides guidance and support for academic and cultural communities, thatexplored the teaching needs of business faculty members [3]. Interviews were conducted withfaculty members from the departments of Mechanical & Aerospace Engineering and Industrial &Systems Engineering in the summer of 2020. This paper examines the main teaching themes thatemanated from the analysis of the interview
dynamics in requirementsengineering will be underexplored, yet important for the practical use of this body of knowledge.This paper will support future work on the impact of requirements engineering education at theundergraduate level, as well as informing frameworks for understanding professionalrequirements engineering work.References[1] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering design thinking, teaching, and learning,” J. Eng. Educ., vol. 34, no. 1, pp. 65–65, 2006.[2] D. P. Crismond and R. S. Adams, “The informed design teaching and learning matrix,” J. Eng. Educ., vol. 101, no. 4, pp. 738–797, Oct. 2012.[3] C. J. Atman et al., “Engineering Design Processes: A Comparison of Students and
incident(s) had occurred. Choices given for gender were male,female, and other, which the user was asked to describe. Options given for ethnic origin wereCaucasian, African American, Hispanic/Latino, Mixed Race, American Indian/Alaskan Native,Black African, Asian, and Indian/S. Asian. Given the relatively small number of responses fromethnicities other than Caucasian, we combined all other ethnicities into a single variable.Respondents were given an open-ended question regarding major or work category. In theanalysis, “STEM” was interpreted to include all majors/job categories in mathematics andengineering, and sciences such as physics, chemistry and biology, but not social sciences. Non-STEM was all other fields, ranging from social sciences to
his or her needs for belongingness and uniqueness” (p.1265). Team member perception of belongingness and uniqueness creates feelings of inclusivitywithin a team setting; behaviors related to these areas are described in Shore et al.’s (2011)framework for inclusion as shown in figure 1.Figure 1Shore et al. 2011 Inclusion FrameworkFrom “Inclusion and Diversity in Work Groups: A Review and Model for Future Research”, byShore, Randel, Chung, Dean, Ehrhart, and Singh, 2011, Journal of Management, 37(4), p. 1266.The Authors 2011. Promoting feelings of inclusiveness requires intentional behaviors, and leaders are in aposition to practice these behaviors to foster inclusive environments within teams. Their uniquepositions within the workplace
reuse. These lessons can guide professionaldevelopments for not only K-12 teachers, but also for engineering educators in cybersecurity andcomputer science.Funding:This work was supported by the Wyoming Department of Education (WDE) and theNational Science Foundation (NSF) through the CS for All: RPP - Booting Up ComputerScience in Wyoming (WySLICE Award #1923542) and Sustaining Wyoming’s AdvancingReach in Mathematics and Science (SWARMS Award #1339853). Any opinions, findings, andconclusions, or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of NSF.ASEE 2021 ReferencesAbramovich, S. (2016). Understanding digital badges in higher education
education must continue. Our work adds to the conversation by providing directevidence of school, district, and state administrators’ perspectives. We will continue to engage inmultiple reflections and discussions with administrators across the nation in the coming years asthe e4usa scales up to create district-level partnerships. The study has implications for how schooland district partnerships may be developed to allow for reciprocal support as pre-collegeengineering education continues to grow.AcknowledgementsThis material is based upon work primarily supported by the National Science Foundation (NSF)under NSF Award Number EEC-1849430. Any opinions, findings and conclusions, orrecommendations expressed in this material are those of the author(s
better seethe “everyday ethics” in her workplace.Internships, along with other types of experiential learning including service learning, student-faculty research, study abroad, and capstone courses, have been identified as high-impactpractices for enriching student learning [13]. For instance, AAC&U’s College Learning for theNew Global Century notes that such experiences offer “rich opportunities for connectingknowledge with choices and action” [14, p. 36]. However, as Beatrice’s and Palano’s experiencedemonstrates, students may have “had the experience but missed the meaning” [15, p. 151,quoting T. S. Eliot’s Four Quartets]. Thus, there remains an open question about what could bedone to help students learn even more, especially closer to
students to pursue careers in naval science & technology (Kiss, 2011; Lundquist,2014). Because there are relatively few institutions in the United States that offer comprehensivenaval architecture programs, there is an opportunity for smaller programs to help meet the needby developing quality curricula on Navy-related S&T subjects, and to make students aware ofpotential careers in this area.The program discussed in this paper has been developed at the University of Iowa, whichprovides unique challenges for attracting students with interest in naval science & technology. Itis therefore important to cultivate that interest through exposure to relevant curricular topics andengineering challenges. In addition, due to the limited faculty
? A review of the research. Journal of Engineering Education, 93(3): 223-231. 3. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, H. J., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences of the United States of America. 4. Bender, D. D., & Weimer, M. (2005). The phenomenology of change: How do individual faculty manage the instructional change process? Proceedings of the Annual Meeting of the American Educational Research Association, Montreal, Quebec. 5. Borrego, M., Froyd, J. E., & Hall, T. S. (2010). Diffusion of engineering education innovations: A survey of
Item 4 5a. The teacher provides opportunities for from multiple STEM Cognitive Engagement in The teacher requires students to integrate content students to learn S/T/E/M concepts. disciplines to complete an from multiple disciplines. STEM activity. 5b. The teacher integrates content from
findings from a longitudinal study of engineering students," in Proceedings of the Research in Engineering Education Symposium. Presented at the Research in Engineering Education Symposium (REES), Davos, Switzerland, 2008.[4] N. Mentzer, K. Becker, and M. Sutton, "Engineering design thinking: High school students' performance and knowledge," Journal of Engineering Education, vol. 104, no. 4, pp. 417- 432, 2015.[5] J. Strobel, J. Wang, N. R. Weber, and M. Dyehouse, "The role of authenticity in design- based learning environments: The case of engineering education," Computers & Education, vol. 64, pp. 143-152, 2013.[6] S. Papert and I. Harel, "Situating constructionism," in Constructionism, S. Papert
York: McGraw-Hill, 2009.[3] I. Van de Poel and L. Royakkers, Ethics, Technology, and Engineering: An Introduction. Malden: Wiley-Blackwell, 2011.[4] C. E. Harris, M. Davis, M. S. Pritchard, and M. J. Rabins, “Engineering Ethics: What? Why? How? And When?,” J. Eng. Educ., vol. 85, no. 2, pp. 93–96, 1996, doi: 10.1002/j.2168-9830.1996.tb00216.x.[5] J. L. Hess and G. Fore, “A Systematic Literature Review of US Engineering Ethics Interventions,” Sci. Eng. Ethics, vol. 24, no. 2, pp. 551–583, 2018, doi: 10.1007/s11948- 017-9910-6.[6] M. A. Holsapple, T. S. Harding, D. D. Carpenter, J. A. Sutkus, and C. J. Finelli, “Framing Faculty and Student Discrepancies in Engineering Ethics Education Delivery,” J. Eng
such empirical evidence, faculty and administrators are often left with little more thananecdotal insights to guide the development of curricula and programs. To address this gap, inS. Claussen and S. Howland contributed equally to this paper and share joint first-authorship.2015 we initiated an NSF-sponsored, mixed-methods study that used multiple measures andtheoretical frameworks to explore how understandings of social and ethical responsibility changeamong undergraduate engineering students during a four-year engineering degree program, bothin general and in relation to specific learning environments and experiences.Our study design included interviews and surveys in Year 1, a repeat survey administration in thestudents’ fifth semester
be taught as a flipped classroom or traditional lecture format (without the videodemos), and B) whether they preferred their other courses to be taught in a flipped classroom ortraditional lecture format. • “I really liked the flipped-classroom format of this class because CAD requires a lot of kinesthetic and visual learning since we are learning how to utilize SOLIDWORKS and apply the software’s tool[s] to reach a desired product…Since the class was flipped and attendance was mostly up to each student’s needs, I had the opportunity to manage my workload according to both CAD and my other classes which is something invaluable both as a focused student and commuter.” • “I really enjoyed how this class
were focused on “day-to-day" work that is expected to be known by this point in theirschooling; others were extensions of basic theory, where the students were asked to implementtheir knowledge in more complex applications of their prerequisite work. Based on previous workwith engineering students solving word problems in mathematics, each of the problems on theMechanics test were presented as word problems with no figures provided. Examples of twolevels of difficulty used in the problems are provided in the following examples: • A 5kg otter needs to cross a 10m wide stream that is flowing at 10m/s. Assuming the otter can swim at a rate of 2m/s, how far up stream must she start to end up directly across from where she is
significant (t (89) = -2.73, p<0.01) and the magnitude and significanceremained even when controlling for gender, teacher, and ethnicity (see Figure 1).Figure 1: Histograms showing the distribution of mentored and non-mentored student Likertresponses on the pre and post survey to the question, “I plan to use science in my career.”During the mentor experiences, some students made connections between the 3D printing unitand the mentors’ careers. In the excerpts from the breakout room conversations below, studentslearned why mentors pursued a STEM career and how STEM involves creativity and flexibility.Breakout Room Excerpt 1 Breakout Room Excerpt 2M: What is the most exciting thing about this project? S: What got
. Patricia A. Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from the University of Louisville. Dr. Ralston teaches undergraduate engineering mathematics and is currently involved in educational research on the effective use of technology in engineering education, the incorpo- ration of critical thinking in undergraduate engineering education, and retention of engineering students. She leads a research group whose goal is to foster active interdisciplinary research which investigates learning and motivation and whose findings will
materialsdevelopment activities that seek to support the success of all students. AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.(DUE-1625378). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of NSF. References[1] E. Cech, B. Rubineau, S. Silbey, and C. Seron, “Professional role confidence and gendered persistence in engineering,” Am. Sociol. Rev., vol. 76, no. 5, pp. 641–666, Oct. 2011, doi: 10.1177/0003122411420815.[2] K. A. Robinson, T. Perez, J. H. Carmel, and L. Linnenbrink-Garcia, “Science identity