activities, and professional development in engineering education.Dr. David B. Knight, Virginia Tech David Knight is an associate professor in the Department of Engineering Education at Virginia Tech. He also serves as Special Assistant to the Dean for Strategic Plan Implementation and Director of Research of the Academy of Global Engineering. His research tends to be at the macro-scale, focused on a systems- level perspective of how engineering education can become more effective, efficient, and inclusive, and considers the intersection between policy and organizational contexts.Dr. Walter C. Lee, Virginia Tech Dr. Walter Lee is an associate professor in the Department of Engineering Education and the director for
the invaluable writing feedback and guidance onpresenting my scoping review clearly and recommending the construction of a comparison tablefor the two types of literature reviews. I would also like to acknowledge the Arthur A.Schomburg Fellowship Program for the funding provided during the execution of this project.References[1] D. Levac, H. Colquhoun, and K. K. O’Brien, “Scoping studies: advancing the methodology,” Implement. Sci., vol. 5, no. 1, p. 9, Sep. 2010, doi: 10.1186/1748-5908-5-69.[2] M. Petticrew and H. Roberts, Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell Publishing, 2006.[3] B. Smela, M. Toumi, K. Świerk, K. Gawlik, E. Clay, and L. Boyer, “Systematic literature reviews over the years,” J
-Bahill/publication/251201368_The_Zachman_Framework_Populated_with_Baseball_Models/links/5c718773299bf1268d1fd131/The-Zachman-Framework-Populated-with-Baseball-Models.pdf.[Accessed: 16-Jan-2024].[18] ABET, “Student Outcomes and Performance Indicators,” 2017. [Online]. Available:https://www.abet.org/wp-content/uploads/2017/02/Student-Outcomes-and-Performance-Indicators_revised.pdf. [Accessed: 25-Nov-2023].[19] G. K. Cunningham, “Educational and Psychological Measurement,” New York, MacMillianPublishing, 1986. [Accessed: 30-Jan-2024].[20] R. J. McBeath, “Instructing and Evaluating in Higher Education: A Guidebook for PlanningLearning Outcomes,” Englewood Cliffs, NJ, Educational Technology Publications, 1992.{Accessed: 30-Jan-2024}.[21] B. M. Olds
through two qualitative analysismethods. The co-authors used qualitative interview data for their dissertations. Case Study Auses a narrative analysis method, while Case Study B uses a multi-case study. The narrativeanalysis helps dive into an individual’s personal experiences while multi-case analysis is suitablefor analyzing students’ longitudinal learning. These two analysis methods represent contrastingapproaches to understanding student and faculty perceptions in the engineering education area. This paper does not provide a standard technical lens or rules for analyzing the qualitativeinterview data. Instead, it aims to excavate detailed reflections that engineering educationresearchers can refer to as they do qualitative research in
inherent in cooking systems. A non-exhaustive list of some uncontrolled factors is theinstability of consumer oven heating; whether the cooking system is closed (wrapped in foil or closed witha lid) or open (pan frying); moisture loss and shape changes as cooking occurs.Figure 6.a.: Third degree fitting at 250 seconds Figure 6.b.: Second degree fitting at 250 secondsComparing figure 6.a. and figure 6.b., the variation between projecting cooking times varied dramaticallydpeending on the order of the polynomial fit used to predict cooking times. Given the relatively low sampleof data points, and the inertia of the food’s temperature at the start of cooking, accuracy of the final cookingtimes was limited.Figure 6.c.: First degree fitting at
. Bers, L. Flannery, E. R. Kazakoff, and A. Sullivan, "Computational thinking and tinkering: Exploration of an early childhood robotics curriculum," Computers & Education, vol. 72, pp. 145-157, 2014.[10] C. Kim, D. Kim, J. Yuan, R. B. Hill, P. Doshi, and C. N. Thai, "Robotics to promote elementary education pre-service teachers' STEM engagement, learning, and teaching," Computers & Education, vol. 91, pp. 14-31, 2015.[11] Y. Jin, C. Qian, and S. Ahmed, "Closing the Loop: A 10-year Follow-up Survey for Evaluation of an NSF REU Site," in ASEE Annual Conference and Exposition, Aug 23 2022 Minneapolis, MN. [Online]. Available: https://peer.asee.org/41048. [Online]. Available: https
. Miller, E. L. Godfrey, and D. Thomas, "Relationship between Holland’sVocational Typology and Myers-Briggs’ Types: Implications for Career Counselors," PsychologyJournal, vol. 7, no. 2, pp. 61–66, 2010.[8] K. Briggs and I. Myers, Myers-Briggs type indicator form G. Palo Alto, CA: ConsultingPsychologist Press, 1987.[9] I. B. Myers, M. H. McCaulley, N. L. Quenk, and A. L. Hammer, The MBTI® Manual: A Guideto the Development and Use of the Myers-Briggs Type Indicator. Palo Alto: ConsultingPsychologists Press, 1998.[10] L. F. Capretz, "Is there an engineering type?" World Transactions on Engineering andTechnology Education, vol. 1, no. 2, pp. 169-172, 2002.[11] S.-T. Shen, S. D. Prior, A. S. White, and M. Karamanoglu, "Using personality type
definition of ‘social environment’.,” Am J Public Health, vol.91, no. 3, p. 465, Mar. 2001, Accessed: Feb. 09, 2023. [Online]. Available:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1446600/[10] L. C. Farrell, D. Jorgenson, J. Fudge, and A. Pritchard, “College Connectedness: TheStudent Perspective,” JoSoTL, vol. 18, no. 1, pp. 75–95, Feb. 2018, doi:10.14434/josotl.v18i1.22371.[11] C. L. Carmichael, H. T. Reis, and P. R. Duberstein, “In your 20s it’s quantity, in your 30s it’squality: The prognostic value of social activity across 30 years of adulthood,” Psychology andAging, vol. 30, pp. 95–105, 2015, doi: 10.1037/pag0000014.[12] B. Goldschneider, N. P. Pitterson, J. M. Case. “Disciplinary Socialization in First-yearSTEM Students”. Proc. of the
faculty,” White paper from, 2013, [Online]. Available: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=22934704e33b3b01b6fe b5797b087a075afb5cb2[5] R. D. Black, L. A. Weinberg, and M. G. Brodwin, “Universal Design for learning and instruction: Perspectives of students with disabilities in higher education,” Except. Educ. Int., vol. 25, no. 2, Jan. 2015, doi: 10.5206/eei.v25i2.7723.[6] CAST, Inc, “The UDL Guidelines.” Accessed: Dec. 09, 2024. [Online]. Available: https://udlguidelines.cast.org/[7] “Learning in the Time of Coronavirus.” Accessed: Jan. 06, 2025. [Online]. Available: https://www.youtube.com/watch?v=vHYecYtM3fs[8] M. W. Ok, K. Rao, B. R. Bryant, and D. McDougall, “Universal
communication (number of total messages sent) that is coming fromeach student in a group. Then, we assess the 'quality' of each student's contribution to teamprogress on the project, by categorising their messages into types 'A', 'B', or 'C' depending onhow much the communication advances the project [5]. For example, for a student teamworking on a robotics project, sharing a proposed Tinkercad design for a new circuit wouldbe classified as 'type A'. These methods provide us with detailed insights into the behavior ofstudents within each group, enabling us to identify any issues as they arise - for example, wecan identify whether particular students are disengaged from the project, or are having troubleunderstanding the project brief.Next, a cross
. 2018 ASEE Annual Conference & Exposition. https://peer.asee.org/strategies-for-developing-expanding-and-strengthening-community- college-engineering-transfer-programEspino, M. L., Rodriguez, S. L., & Le, B. D. (2022). A systematic review of literature: Engineering identity and students with financial need in community colleges. Community College Journal of Research and Practice, 46(5), 352–363. https://doi.org/10.1080/10668926.2020.1856218Franco, R. W. (2002). The civic role of community colleges: Preparing students for the work of democracy. The Journal of Public Affairs, 6(1), 119-136.*Marra, R. M., Tsai, C.-L., Bogue, B., & Pytel, J. L. (2015). Alternative pathways to engineering success: Using
stages: (a) High school(HS) and the transition to postsecondary education (PSE); (b) PSE experience and the transitionto the workplace, and (c) workplace experience. For each life stage, we have organized theinformation under the following four categories based on the elements in the Social CognitiveCareer Theory: 1. Choice goals, choice actions, and performance and attainments, which are pathways- related outcomes 2. Learning Experiences and Contextual Influences 3. Self-efficacy, outcome expectations, and interests, and other individual factors 4. Person Inputs and Background Contextual AffordancesHigh school and the Transition to Postsecondary EducationPathway-Related OutcomesLiterature shows that high school students
have described students with B+ to A+ on the U.S. grade scale or aCGPA of 3.0 out of 4 as high-achieving [22]–[27]. In the university where this study wasconducted, B+ is 3.33. Students with a minimum of 3.5 have been considered high-achieving fora scholarship or as honors students for exceptional academic performance. Also, a 3.5 and aboveis regarded as a distinction grade called cum laude and its variation. Based on this and existingstudies, we described students with a CGPA of 3.5 are high-achieving.Theoretical frameworkThe theoretical framework that guided this study is Astin’s theory of involvement, also known asthe Input-Environment-Output (I-E-O) theory [12], [28], [29]. The theory postulates that theeducational outcomes students
specifically invited to participatein the events, though all people were welcome. Invitations for the events were sent out 1-3 weeksbefore each event through graduate college newsletters and with the help of staff graduatecoordinators and student volunteers from each department. Flyers were also put up on noticeboards in the engineering buildings. Three surveys were conducted throughout the program: onejust after the first event in the series, one at the end of the Fall 2022 semester, and the last one atthe end of the Spring 2023 semester.The program targeted three categories of intervention: belonging (B), advice and support (A), andskills and opportunities (S). The belonging intervention sought to promote a feeling of belongingin the participants
AraOluwa Adaramolaba- Department of Engineering Education, b- Davidson School of Chemical University at Buffalo, SUNY Engineering, Purdue University Buffalo, NY 14213 West Lafayette, IN 47907INTRODUCTIONPractice makes perfect, yet engineering graduate students rarely have structured teachingexperiences beyond acting as a teaching assistant (TA) or substituting for a professor’s absence.Teaching is a significant component of faculty responsibilities and many roles withinengineering. Yet, few formal TA training opportunities exist to allow graduate students topractice and improve their teaching capabilities while still in graduate school. However
presented the preliminary findings of this review. To complete this effort,we plan to conduct a more in-depth comparison of the curricula content and a comprehensiveevaluation of what engineering educators and engineering education researchers can use in futureresearch and practice. In future literature, we also plan to identify the pedagogical approachesemployed to teach Al in pre-college education.AcknowledgmentWe would like to acknowledge our colleagues and mentors for their support.References[1] D. Touretzky, C. Gardner-McCune, C. Breazeal, F. Martin, F., and D. Seehorn, “A year in K-12 AI education,” AI Magazine, vol. 40, no. 4, pp. 88-90, 2019.[2] B. H. Payne, “AI+Ethics Curriculum for Middle School,” Cambridge, MA: MIT Media
of actionable college choice models for encouraging minoritized students toenter engineering programs. Finally, future research should investigate where college enrollmentmanagement professionals obtain their information when developing recruitment strategies, aswell as exploring the similarities and differences between recruiter and researcher perspectiveson what factors are valuable to consider for students in the midst of the college selection process.References[1] T. Holloman, W. C. Lee, J. London, A. Halkiyo, G. Jew and B. Watford, “A historical and policy perspective on broadening participation in STEM: Insights from national reports (1974-2016).” In 2018 CoNECD-The Collaborative Network for Engineering and
://afterschoolalliance.org/documents/AA3PM/AA3PM-STEM-Report-2021.pdf[8] Shields, D. R., & Kisi, K. P. (2011, June), Factors Influencing High School Students’ to Pursue an Engineering Baccalaureate Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2—17985[9] Mosyjowski, E., & Daly, S. R., & Peters, D. L., & Skerlos, S., & Baker, A. B. (2014, June), The Ph.D. Advising Relationship: Needs of Returning and Direct-Pathway Students Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2—23171[10] K. Kainz, “Early academic gaps and Title I programming in high poverty, high minority schools,” Early Childhood Research Quarterly
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theirrole as engineers in the greater context of engineering culture and society.AcknowledgementsThe author would like to thank Dr. Benjamin Ahn and Dr. Deborah Kuzawa for their insights andcomments on the manuscript.References[1] B. Jesiek, Q. Zhu, S. Woo, J. Thompson, and A. Mazzurco, “Global Engineering Competency in Context: Situations and Behaviors,” Online Journal for Global Engineering Education, vol. 8, no. 1, Mar. 2014, [Online]. Available: https://digitalcommons.uri.edu/ojgee/vol8/iss1/1[2] C. Baillie, “Engineers within a Local and Global Society,” Synthesis Lectures on Engineers, Technology and Society, vol. 1, pp. 1–76, Jan. 2006, doi: 10.2200/S00059ED1V01Y200609ETS002.[3] “Criteria for Accrediting Engineering Programs
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a bridge program (i.e., courses between completion of high schooland start of college). Professor B teaches an introductory mechanical engineering course. Bothfaculty members have at least five semesters of experience teaching their respective courses.Data Collection and AnalysisFaculty members were asked to participate in 45-minute-long semi-structured interviews aimedat uncovering differences they noticed since the COVID-19 pandemic in their classes. Interviewquestions were developed by the research team in order to answer the research questions. Theinterview protocol was piloted with two faculty members, and that data forms the basis of thispaper. The interview protocol will be modified based on the results of the pilot interviews
]. MBTI’s 16 personality types align very well withthe tier-based approach of matching (discussed in the methods).B) Career Aspiration: Mentoring relationships can have a significant impact on one's feelings ofcompetence, efficacy, and interest in specific career goals [26]. Shared career aspirations helpmentors and mentees relate to and understand each other and navigate the complexities of theirrelated career paths [27]. Recognizing and acknowledging career aspirations can provideindividuals with the necessary structure to grow and succeed on their professional journeys.C) Personal Interests: A mentoring relationship is likely to succeed if shared interests are alsofactored in [28]. Shared personal interests foster deeper connections because the
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