Paper ID #34922Creating a Peer Review of Teaching Process to Enhance InstructorFeedback in Engineering EducationDr. Jennifer L. Herman, Ohio State University Dr. Jennifer Herman is a senior lecturer in the Department of Engineering Education at the Ohio State University, where she teaches undergraduate and graduate level courses in technical and research commu- nication. Dr. Hermanˆa C™s research interests includeDr. Ann D. Christy P.E., Ohio State University Ann D. Christy, PE, is a professor of Food, Agricultural, and Biological Engineering and a professor of Engineering Education at the Ohio State University (OSU). She
applied to the REU program is included inTable 1. In general, the percentage of applicants who were female and from underrepresentedgroups was similar to the typical representation of such students at the bachelor’s degree level inengineering overall 13. Page 26.1243.6Table 1. Demographic Information of Applicants to the Chemical Engineering REU Program Number of % CE/E/S AverageYear % Female % URM % Fr/So/Ju/Se Applicants Major Cumulative GPA2014 70 36 20* 91/7/2 3.44
as in Europe. At those sites, we will not collect identifiable information or registrar data.We plan to identify the students that are struggling and eventually to provide interventions thathelp to increase their prospects for success.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNos. DUE-1626287 (Purdue), DUE-1626185 (Cal Poly), and DUE-1626148 (UTEP). Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation. Wewould like to thank all the students who participated in this study. Without their time spent inthoughtful response, this work would not be
then enter "Did not use."Question 15, and its sub-questions intended to assess the validity of our hypothesis of whetherthe intervention helped with responsiveness. Figure 4 displays how this question was structured. Figure 4 Visual representation of the layout of the question(s) regarding responsiveness.In addition to above, the following questions were included in the survey to assess theresponsiveness objective of the intervention. • Question 16. Describe how you used one or more avatars to plan to alter how you responded to the expo audience in real time. • Question 17. Did you use the Mary Turner avatar to help you make communication decisions while preparing your Expo Video? • Question 18. Did the
expectation or fad (refer to thesummer of 2020 and the U.S.’s temporary racial awakening also known as white urgency [5].The issue with this book is how close it ties to the academic engineering profession and thereality of Dr. Cox’s experiences as a Black woman. How many times had she attended diversity,equity, and inclusion (DEI) trainings that opened up wounds of workplace trauma but didnothing to repair and restore her in the workplace? Although Engineering Education professed tobe open and inclusive, why were there no public conversations by leaders about the profession’sintentional and unintentional harm to Black women?My White Woman PerspectiveWhen I was hired into my position with Dr. Cox as my supervisor, I was in the months ofSummer 2020
. Postsecond. Educ. Disabil., vol. 25, no. 3, pp. 211–225, 2012.[2] B. Blaser, K. M. Steele, and S. E. Burgstahler, “Including Universal Design in Engineering Courses to Attract Diverse Students,” presented at the 2015 ASEE Annual Conference & Exposition, Jun. 2015, p. 26.935.1-26.935.12. Accessed: Oct. 20, 2022. [Online]. Available: https://peer.asee.org/including-universal-design-in-engineering-courses-to-attract-diverse- students[3] N. A. of Engineering, Changing the Conversation: Messages for Improving Public Understanding of Engineering. 2008. doi: 10.17226/12187.[4] R. E. Davis, S. Krishnan, T. L. Nilsson, and P. F. Rimland, “IDEAS: Interdisciplinary Design Engineering and Service,” Int. J. Serv. Learn. Eng. Humanit. Eng
-rebound process, and 3)indirect policies with equity impacts. Our data does suggest that underrepresented women ofcolor are less likely to be enrolled in undergraduate engineering education over time in anti-affirmative action states (independent of the specific ban timing). A key take-away from thisfinding is that affirmative action bans may be a symptom of preexisting “chilly” conditionswithin a state. In comparison to other historically excluded groups, UWOCE students maytherefore be more concerned with or impacted by the perceived social and political climate of thestates in which they seek to study. We conclude by echoing Ong et al.’s argument [25] that thechanges necessary to foster belonging for all students in engineering education
ConfidenceAbstractBecause cybersecurity professionals are crucial to national security, public safety, and economicprosperity, employment opportunities in cybersecurity continue to increase. To meet the publicand private sectors’ need for cybersecurity professionals, universities are adding academicprograms in cybersecurity. West Virginia University, which is a land-grant R1 university with avibrant cybersecurity program that offers a B.S. degree, academic minor, and an Area ofEmphasis (AoE) in cybersecurity, has received an NSF S-STEM grant to increase the numberand diversity of highly qualified cybersecurity graduates by offering scholarships to high-achieving and economically challenged undergraduate students.Our past research was focused on grit and motivation
don’t know what those systems will be because they’re going to becreated, they’re going to be new. But what is clear is that they’re going to rely on fundamentals,because that is how the design process is done.”2. Deep Structure: Teaching for BreadthIn contrast to the mixed reports on teaching for depth, teaching for breadth was observed as apositive outcome for the majority of alumni interviewed. For example, one alumnus mentionedthat the breadth of knowledge in engineering science has provided “metaphors to draw on whenI’m trying to understand a new domain”, while another mentioned that the breadth of knowledge“broaden(s) your scope of knowledge” and gives cross disciplinary perspectives which is usefulas “somebody needs to be the person that
consider identifying this outcome as an optional outcome in E-CURE’s assessments Organization and Project Management ABET Criterion 5, Curriculum, with Evaluate UR-CURE Outcome Components respect to IEEE program-specific criterion E “The ability to apply project management techniques to electrical/electronic(s) systems” 1. Identify discrete work tasks and 1a. Displays ability to share distribution of budgets for a portion of a project Tasks 2. Direct the project work of one or more 2a. Displays ability to share distribution of tasks team members 2b. Shows ability to work
. [Online] Available:https://www.bls.gov/opub/mlr/2015/article/stem-crisis-or-stem-surplus-yes-and-yes.htm[Accessed April 19, 2020].[3] National Academy of Sciences, National Academy of Engineering, and Institute of Medicine,Rising above the gathering storm: energizing and employing America for a brighter economicfuture. Washington, DC: The National Academies Press, 2007[4] S. Q. Sheikh and E. Arvaniti, STEM Education Outreach through IEEE’s Pre-UniversityPrograms – Engaging Volunteers to benefit K-12 education and local communities, 2014 IEEEFrontiers in Education Conference (FIE) Proceedings, October 22 – 25, 2014, Madrid, Spain.IEEE 978-1-4799-3922-0/14.[5] Michigan Constitution. art. I, § 26, [Online] Available:http://www.legislature.mi.gov/(S
the 4+1program. Another supplementary question was asked to the remaining 16% of students (whowere still not interested following the explanation of the program), to select the reason/s behindtheir decision. Their answers were as follows: 12% due to limited funding, 18% because theyhave not heard or thought about it before, 18% not interested in graduate school, 44% prefergaining experience in industry before pursuing an advanced degree, and the remaining 9% hadlisted other responses.Students were also asked to explain if they recognize any advantages to the program and toexplain why. Approximately 95% of the respondents perceived an advantage to the programwhile the remaining 5% either mentioned that they did not see any advantages to the
inclusion. The reasoned action model was identified asthe theoretical framework, and the second cycle themes were integrated into a final thematic map(Figure 3) and corresponding written analysis around the three main factors for intention. Table 1: First cycle coding categories Category (Prefix) Description Example Codes Sentiments (S) Feelings about their job S-Rewarding to help others grow S-Resentment regarding conflicting responsibilities Motivations (M) Motivations to pursue and continue M-Career progression and money
of students; our 2019 engineering designcourse includes 40% (8) women and 20% (3) underrepresented minorities in a class of 20students. Given this increased diversity, we can apply the tools we have developed to betterunderstand if and how the curriculum and instructional approaches we are using is supportingwomen and underrepresented students in the program. We look forward to sharing ourcontinuing research including more student voices and the next phase of our curriculum designchallenge.References[1] S. Olson and D. G. Riordan, "Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics. Report to the President," 2012.[2] ABET. (2017, 13 Jan
stakeholdersand students’ investment of time in their extracurricular Maker activities. Pines, et al. suggestthat establishing maker curriculum in addition to the traditional curriculum has allowed for thedevelopment of broader skillsets which cover knowledge beyond engineering, includingteamwork, creativity, innovation, collaboration, critical thinking, project management, andsystems engineering. These skills are highly valued in the technical workforce but not alwayspracticed or developed in formal education settings.Oplinger et al.’s “Making and Engineering: Understanding Similarities and Differences” [6]covers a general survey which shows that both making and engineering are perceived to beactive, project developing fields. Stronger correlations are
cultural landscape in engineering education. J Eng Educ. 2010;69(1):5-22.3. Myer M, Marx S. Engineering Dropouts : A Qualitative Examination of Why Undergraduates Leave Engineering. J Eng Educ. 2014;103(4):525-548.4. Gregory S. African American Female Engineering Students’ Persistence in Stereotype- Theatening Environments: A Critical Race Theory Perspective. 2015.5. Ohland M, Brawner C, Camacho M, Layton R, Long R, Lord S, Wasburn M. Race, gender, and measures of success in engineering education. J Eng Educ. 2011;100(2):225- 252.6. Espinoza A. The College Experiences of First-Generation College Latino Students in Engineering. J Latin/Latin Am Stud. 2013;5(2):71-84.7. McLoughlin L. Spotlighting
Proposal Submission and Funding Outcomes Data for Cohort 1, 2, 3, and 4.Table 2Proposal Submission and Funding Outcomes Data Cohort Colleges #1 #2 #3 #4 # Project Succes (2013) (2014) (2015) (2016) Colleges s Rate Colleges Selected for 20 20 21 20 81 Project Cohort Cohort Colleges that 18 18 18 16 70 70/81, Submitted NSF-ATE 86.4% Proposals Cohort Colleges that 14 16 17 16 63 63/70, Submitted to Small
, 1998; Bolger et al., 2012; Weinberg, 2017a;2017b; 2019). In Bolger et al.’s study, children predicted and explained the motion of pegboardlinkages (Figure 1). Lehrer and Schauble interviewed second- and fifth-grade students, withinengineering tasks, to assess their reasoning about the mechanics of gears. In both of thesestudies, the majority of participants did not engage in mechanistic explanations.Figure 1. Example of a system of pegboard linkages. In Weinberg (2017a; 2017b; 2019), participants predicted and explained the motion ofpegboard linkages represented on an assessment. Most children’s mechanistic reasoning wasfragmented, displaying few of the mechanistic elements necessary to describe lever motion.First, most did not seem to
Office of the CTO); Harish Krishnaswamy(EE, Columbia); Shivendra Panwar, Sundeep Rangan (ECE, NYU); Ivan Seskar, DipankarRaychaudhuri (WINLAB, Rutgers)We thank the teachers who participated in the program during the summers of 2018 and 2019 fortheir contributions to the development of the COSMOS Educational Toolkit.We thank the anonymous reviewers for their insightful comments.References 1. COSMOS, “Cloud enhanced open software defined mobile wireless testbed for city-scale deployment,” https://cosmos-lab.org/ 2. D. Raychaudhuri, I. Seskar, G. Zussman, T. Korakis, D. Kilper, T. Chen, J. Kolodziejski, M. Sherman, Z. Kostic, X. Gu, H. Krishnaswamy, S. Maheshwari, P. Skrimponis, and C. Gutterman, “Challenge: COSMOS: A
of Higher Education, vol. 81, no. 4, 2010. [0022- 1546]. Available: https://tandfonline.com. [Accessed Oct. 10, 2019].[9] C. Interiano-Shiverdecker, J. H. Lim, P. T. Tkacik, and J. L. Dahlberg, “From the barracks: A multi-dimensional model of student veterans’ cultural transition,” The Journal of Military and Government Counseling, vol. 7, 2019. [Online]. Available: http://mgcaonline.org/wp-content/uploads/2]019/11/JMGC-Vol-7-Is-3.pdf. [Accessed Sept. 15, 2019].[10] B. J. Novoselich, J. C. Bruhl, M. Scheidt, C. N. Willis, and M. S. Sheppard, “ASEE support to student veterans: Results of a 2018 leadership roundtable,” Paper presented at the 2019 ASEE Annual Conference & Exposition, 2019. [Online
“softness” ofhumanities into the “hard core” engineering practice. My daily practice is that of being “another”– that uncomfortable state of continuous non-belonging: in a space replete with battlefieldanalogies and metaphors, I am a healer, a joy seeker, and an advocate.The analysis below uses color font to indicate which author (Vanasupa (V), Schlemer (S), orZastavker (Z)) is writing. We also preserve the students’ voice by using their chosenpseudonyms. ISIM refers to the course, Introduction to Sensing, Instrumentation andMeasurement.Reflective analysis of student responsesV: In terms of the focus group responses, I guess it wasn’t surprising to me that the visual layoutwas the first thing that students noticed. What was a bit surprising was the
., vol. 2, no. 1, Mar. 2010.[4] J. Lucena, J. Schneider, and J. A. Leydens, Engineering and Sustainable Community Development. San Rafael, CA: Morgan & Claypool, 2010.[5] Does America Need More Innovators? .[6] C. Struckmann, “A postcolonial feminist critique of the 2030 Agenda for Sustainable Development: A South African application,” Agenda, vol. 32, no. 1, pp. 12–24, Jan. 2018, doi: 10.1080/10130950.2018.1433362.[7] D. Moyo and N. Ferguson, Dead Aid: Why Aid Is Not Working and How There Is a Better Way for Africa. Macmillan, 2010.[8] B. E. Goldstein, Collaborative Resilience: Moving Through Crisis to Opportunity. MIT Press, 2012.[9] N. R. Council, D. on E. and L. Studies, B. on E. S. and Resources, G. S. Committee, and C
persona of-fers a metaphor for understanding impact. How is a persona different from a stereotype? Willa stereotype inform a persona? Applying the similarities and differences of a persona and astereotype has concrete classroom use with potential for amplifying understanding of inter-personal perceptions. The gendered findings in the study indicate there is a relational qualityto interpersonal perceptions of gender. Therefore, who and how we pay attention to others isimportant. The attention that is given to women and men in the classroom, women and menon internships, and women and men in male-dominated work environments is worthwhile.References[1] Lee, H., Choi, J., and Kim, S. “Does gender diversity help teams manage status conflict?An
data, whichespecially allowed the recognition of both explicit and implicit nuances, resulting in moremeaningful findings.Preliminary analysis led to a focused coding process as patterns started to emerge. Both themore data oriented initial coding as well as the conceptualizing focused coding happened inparallel for much of the overall coding process. Focused coding was the first conceptual stepin the data analysis where significant or frequent first order codes are used to group andexplain larger sets of data. All of the codes remaining after the initial and focused coding,were then further thematically analyzed in a format inspired by Gioia et al.’s data structure[38]. The resulting data structure is presented below, in Figure 1.3 Creating
competency standards for higher education," 2000. [Online]. Available: http://www.ala.org/acrl/standards/ilframework[4] Association of College & Research Libraries, "Framework for information literacy for higher education," 2015. [Online]. Available: http://www.ala.org/acrl/standards/ilframework[5] S. J. Behrens, "A conceptual analysis and historical overview of information literacy," College & Research Libraries, vol. 55, no. 4, pp. 309-322, 1994, doi: 10.5860/crl_55_04_309.[6] American Library Association, "Presidential Committee on Information Literacy: Final report," 1989. [Online]. Available: http://www.ala.org/acrl/publications/whitepapers/presidential[7] M. M. England