. (2021). Engineering communication in industry and cross- generational challenges: An exploratory study. European Journal of Engineering Education, 46(3), 389– 401. https://doi.org/10.1080/03043797.2020.1737646Campo, A., Michałko, A., Van Kerrebroeck, B., Stajic, B., Pokric, M., & Leman, M. (2023). The assessment of presence and performance in an AR environment for motor imitation learning: A case-study on violinists. Computers in Human Behavior, 146, 107810.Díaz, B., Delgado, C., Han, K., Lynch, C. (2023, June). Improving graduate engineering education through Communities of Practice approach: Analysis of implementation in computer science, robotics, and construction engineering courses. Papers
magnitudes are © American Society for Engineering Education, 2024 2024 ASEE Annual Conference Figure 5 - Sample PIV Results: (a) Raw image, (b) Tracer particles detected, (c) Vector field is calculated, (d) Contour of vector magnitudes displayed.qualitatively compared with the observed experiment to verify the results are reasonable. Theproject team is currently fine-tuning the procedure to ensure repeatability. The authors are alsodesigning a series of experiments in which students could observe the flow dynamics using PIV.Sample developed laboratory modules and experimental activities are provided in Appendix B.A combination of measures will be used to assess students
5 Number of Students 4 3 2 1 0 A A- B+ B B- C+ C C- D+ D F W Grades in Intro to CADFigure 1: Histogram of grades earned in Intro to CAD by students who earned a D or D+ inApplied Programming for Engineers. 10 Number of Students 8 6 4 2 0
physical contexts related to the concepts they learned about. This will informour selection of physical models for the model-based course and provide culturally relevantcontexts for the new course.ReferencesBandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215.Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice Hall.Beer, F., Johnston, E. R., & Mazurek, D. (2012). Vector Mechanics for Engineers: Statics (10th edition). McGraw Hill.Chan Hilton, A. B., & Neupauer, R. M.(Eds.). (2012) H2OH Classroom demonstrations for water concepts. American Society of Civil Engineers.Felder, R. M. & Brent, R. (2016
answering systems,” Applied Intelligence, vol. 53, no. 9, pp. 10602–10635, May 2023, doi: 10.1007/s10489-022-04052-8.[26] B. D. Lund and T. Wang, “Chatting about ChatGPT: how may AI and GPT impact academia and libraries?,” Library Hi Tech News, vol. 40, no. 3, pp. 26–29, 2023.[27] M. Soni and V. Wade, “Comparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms,” arXiv preprint arXiv:2303.17650, 2023.[28] A. Katz, M. Norris, A. M. Alsharif, M. D. Klopfer, D. B. Knight, and J. R. Grohs, “Using natural language processing to facilitate student feedback analysis,” in 2021 ASEE Virtual Annual Conference Content Access, 2021.[29] T. Khan et al., “AR in
vital for the immersive experience the Hack-a-Thon aims to provide. VIII. B EHIND THE SCENES A. Planning The planning for the FAU Hack-a-Thon begins four months in advance, coordinated by the Project Design Team. This team rigorously reviews the latest available hardware and software to ensure these can be deployed reliably and inexpensively. Since 2019, all participants have received a comprehensiveFig. 15. 2020 Color Trainer project kit, which includes all necessary components to build
Annual Conference & Exposition, June 16-19.[22] L. A. Locke and T. L. Trolian, “Microaggressions and Social Class Identity in Higher Education and Student Affairs,” New Directions for Student Services, vol. 2018, no. 162, pp. 63–74, Jun. 2018, doi: https://doi.org/10.1002/ss.20262.[23] J.C. Major, “Class-and Citizen-passing in Engineering: How Nando succeeded by hiding in plain sight,” in 2019 IEEE Frontiers in Education Conference (FIE) (pp. 1- 9). IEEE.[24] P. O. Garriott, S.-J. “Stella” Ko, S. B. Grant, M. Jessen, and B. A. Allan, “When Race and Class Collide: Classism and Social-Emotional Experiences of First-Generation College Students,” Journal of College Student Retention: Research
: Conceptual Frameworks to Guide Research on Practice,” in CambridgeHandbook of Engineering Education Research, 1st ed., A. Johri and B. M. Olds, Eds.,Cambridge University Press, 2014, pp. 477–496. doi: 10.1017/CBO9781139013451.031.[4] A. Patrick, M. Borrego, and A. Prybutok, “Predicting Persistence in Engineering throughan Engineering Identity Scale,” 2018, doi: 10.15781/T2ZC7SB9J.[5] B. N. Geisinger and D. R. Raman, “Why They Leave: Understanding Student Attritionfrom Engineering Majors”.[6] R. Pekrun, A. Elliot, and M. Maier, “Achievement Goals and Achievement Emotions:Testing a Model of Their Joint Relations With Academic Performance,” J. Educ. Psychol. - JEDUC PSYCHOL, vol. 101, Feb. 2009, doi: 10.1037/a0013383.[7] L. S. SHULMAN
]. 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
enough: Early prediction of student success and event-level difficulty during a novice programming task.,” International Educational Data Mining Society, 2019. [3] K. Rivers and K. R. Koedinger, “Data-driven hint generation in vast solution spaces: a self-improving python programming tutor,” International Journal of Artificial Intelligence in Education, vol. 27, pp. 37–64, 2017. [4] Y. Dong, S. Marwan, P. Shabrina, T. Price, and T. Barnes, “Using student trace logs to determine meaningful progress and struggle during programming problem solving,” International Educational Data Mining Society, 2021. [5] A. Emerson, M. Geden, A. Smith, E. Wiebe, B. Mott, K. E. Boyer, and J. Lester, “Predictive student modeling in block
25-28, 2023, Baltimore, Maryland.[3] K. D. Gutiérrez and B. Rogoff, “Cultural ways of learning: Individual traits or repertoires of practice,” Educational Researcher, vol. 32, issue 5, pp. 19–2, 2003.[4] E. J. López, V. Basile, M. Landa-Posas, K. Ortega, and A. Ramirez, "Latinx students' sense of familismo in undergraduate science and engineering," The Review of Higher Education, vol. 43, issue 1, pp. 85-111, 2019.[5] P. O. Garriott, R. L. Navarro, L. Y. Flores, H.-S. Lee, A. Carrero Pinedo, D. Slivensky, M. Muñoz, et al., "Surviving and thriving: Voices of Latina/o engineering students at a Hispanic serving institution," Journal of Counseling Psychology, vol. 66, issue 4, pp. 437-477, 2019.[6] J. A
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synthetic biology,” Journal of Science Education and Technology, 2021.[26] J. K. Jung, B. J. Rasor, G. A. Rybnicky, A. D. Silverman, J. Standeven, R. Kuhn, T. Granito, H. M. Ekas, B. M. Wang, A. S. Karim, J. B. Lucks, and M. C. Jewett, “At-home cell-free synthetic biology education modules for transcriptional regulation and environmental water quality monitoring,” ACS Synth. Biol., vol. 12, no. 10, pp. 2909–2921, September 2023.[27] K. Watts and W. Richardson, “Inclusive pedagogy strategies to introduce high schoolers to systems biology,” Biomedical Engineering Education, October 2023.[28] L. Johnson, “Niswonger foundation improving education in the area,” Online, November 2023. [Online]. Available: https://www.wjhl.com/news
%-100%, B = 80%-89.9%, C = 70% - 79.9%, D = 60% - 69.9%, and F = 0% - 59.9.Characteristics of the treatment group The treatment group had homework assignments, three exams, a final project, and a finalexam just as the control group did. All exams had the same number of questions testing the sameconcepts in the same order, and the final project remained unchanged. However, for thetreatment group, the proportion of the grade from participation was replaced with an equivalentproportion from weekly quizzes administered on paper in the classroom. Each quiz containedeither one question with two parts or two separate but related questions. The instructor gradedeach part separately according to the following rubric: 80% credit was granted for
Paper ID #42359Does the French Engineering Education Approach to Internships Work inChina? Perception of Chinese Students Enrolled in a Sino-French EngineeringProgram in ChinaDr. Ying Lyu, Beihang University Ying Lyu is an associate professor at Beihang University in Beijing, China, where she is based at the Institute of Higher Education, part of the university’s School of Humanities and Social Sciences. She holds a Ph.D degree in higher education from Beihang University. Her research interests include engineering education and international and comparative higher education.Prof. Chuantao Yin, Beihang University Dr
assumes an understandingof functions, function arguments, function return values, calling functions, branching, if/elif/elsestatements, variables, type conversions, input and output and output formatting.3.1.2 Exercise B: Alternating CipherExercise B was a more logically complex programming problem intended to take a beginnerprogrammer an hour to design and program. It assumes an understanding of the concepts inExercise A in addition to working with lists, loops, and working with strings. The alternatingcipher is a variation on the rail cipher and requires users to encrypt and decrypt input text byplacing each character of the message on alternating lines, ignoring spaces, and then creating asingle cipher text string by concatenating the two
will discuss in detail.1. Pedagogy Components: a. Cloud Computing i. Theory & Concepts ii. Lab Modules iii. Assessment iv. Q/A Sessions2. Platform Support: a. Primary: GCP (Google Gloud Platform) b. Secondary: AWS, Azure3. Degree Support Courses: a. Electives: AI/ML b. Required: Capstone Project4. Job Support Certifications: a. Primary: Cloud+ and GCP/AWS/Azure b. Secondary: Linux+We designed the CTaaS framework as a seamlessly integrated system where componentscomplement each other without requiring any extra effort beyond what is required by thecybersecurity degree. In the following, we go over CTaaS’s details. Cloud
, no. 4, pp. 789–809, Dec. 2020, doi: 10.1007/s10758-020-09441-x.[5] J. Goopio and C. Cheung, “The MOOC dropout phenomenon and retention strategies,” Journal of Teaching in Travel and Tourism, vol. 21, no. 2, pp. 177–197, 2021, doi: 10.1080/15313220.2020.1809050.[6] B. B. Morrison, L. E. Margulieux, and M. Guzdial, “Subgoals, context, and worked examples in learning computing problem solving,” in ICER 2015 - Proceedings of the 2015 ACM Conference on International Computing Education Research, Association for Computing Machinery, Inc, Jul. 2015, pp. 267–268. doi: 10.1145/2787622.2787733.[7] M. Yarmand, J. Solyst, S. Klemmer, and N. Weibel, “It feels like i am talking into a void: Understanding
Paper ID #43149Identifying Curriculum Factors that Facilitate Lifelong Learning in AlumniCareer Trajectories: Stage 3 of a Sequential Mixed-Methods StudyNikita Dawe, University of Toronto PhD student in the Department of Mechanical and Industrial Engineering at the University of Toronto, Collaborative Specialization in Engineering Education.Amy Bilton, University of TorontoMs. Lisa Romkey, University of Toronto Lisa Romkey serves as Associate Professor, Teaching and Associate Director, ISTEP (Institute for Studies in Transdisciplinary Engineering Education and Practice) at the University of Toronto. Her research focuses on
adolescents. Otolaryngology—Head and Neck Surgery, 140(4), 461-472.[4] Smith, A. (2003, October). Preventing deafness—an achievable challenge. The WHO perspective. In International Congress Series (Vol. 1240, pp. 183-191). Elsevier.[5] WHO, WHO calls on private sector to provide affordable hearing aids in developing world, WHO/34, 11 July 2001.[6] Olusanya, B. O., Neumann, K. J., & Saunders, J. E. (2014). The global burden of disabling hearing impairment: a call to action. Bulletin of the World Health Organization, 92, 367-373.[7] Chia, E. M., Wang, J. J., Rochtchina, E., Cumming, R. R., Newall, P., & Mitchell, P. (2007). Hearing impairment and health-related quality of life: the Blue Mountains Hearing Study. Ear and hearing
not necessarily mean thatNASA or the United States government view these issues to be problematic. This was clarified inthe report and should be interpreted as part of the context about our discussion here about ethicalchallenges that emerged.5 Ibid, 11-136 W.C. Lee, "Pipelines, Pathways, and Ecosystems: An Argument for Participation Paradigms,"Journal of Engineering Education, vol. 108, no. 1, pp. 8-12, 2019.https://doi.org/10.1002/jee.202417 Workshop report pages 15-168 While not focused on an ELSI expert to non-expert divide, a classic summary on such adivision is: B. Wynne, "May the sheep safely graze? A reflexive view of the expert-layknowledge divide," in Risk, Environment and Modernity: Towards a New Ecology, vol. 40, p.44, 1996.9
Paper ID #42944Unmasking Cognitive Engagement: A Systematized Literature Review of theRelationships Between Students’ Facial Expressions and Learning OutcomesMr. Talha Naqash, Utah State University, Logan Mr.Talha Naqash is currently pursuing his doctoral studies in Engineering Education at Utah State University. With a profound educational background spanning multiple disciplines, he holds an MS in Telecommunication and networking. His extensive research contributions are reflected in numerous publications and presentations at prestigious IEEE; ASEE conferences, Wiley’s & Springer Journals. His research primarily
Entrepreneurship into Engineering Design," International Journal of Process Education, vol. 11, no. 1, 2020.[9] J. Park, L. Bosman and B. .. Kotla, "Reading Between the Data Points: Analysis of the VSFS Internship Recruitment Process and Its Implications for Engineering Student Applicants," in 2022 ASEE Annual Conference & Exposition, Minneapolis, 2022.[10] M. Y. Hassan, A. O. Shuriye and A.-H. Abdallah, "Integrating Entrepreneurship into Engineering Education," International Journal of u- and e- Service, Science and Technology, vol. 10, no. 2, pp. 45-52, 2017.[11] S. Karimi, M. Chizari, H. J. A. Biemans and M. Mulder, "Entrepreneurship Education in Iranian Higher Education: The Current State and Challenges," European Journal of
). Thus, our results and conclusions about participant experience and gainfrom the workshop will be representative of the workshop and independent of specific casestudies. Further, the case studies were designed to be held in parallel, and we assume they are ofcomparable quality in terms of content and provided the same benefits to participants.Figure 1. Workshop participant demographics across all years. A) Number of workshopsurvey participants in each department role (graduate student, post-doctoral researcher, faculty,or staff) in each year and summed across all years. B) Number of workshop survey participantsin each case study offered in each year and summed across all years.Workshop components generally proved effective and useful in
) supported some Scholars in (a) gaining knowledge of how to apply to industryand academic positions; (b) acquiring academic capital such as content knowledge andeventually certifications like grades, credits, and degrees; (c) navigating institutional structures tosucceed in STEM; and (d) providing social and emotional support that motivated Scholars tocontinue in their degree.Some faculty mentors leveraged their own social networks to provide Scholars withopportunities to network with professionals and work in academia and industry. Several Scholarsspoke about internship and job offers they had received from their STEM CONNECT networksand attribute those connections to their mentors. One Scholar described how their faculty mentorhelped them reach
similarly to business professionals thanengineers. References[1] R. A. Linsenmeier and A. Saterbak, “Fifty Years of Biomedical Engineering Undergraduate Education,” Ann Biomed Eng, vol. 48, no. 6, pp. 1590–1615, Jun. 2020, doi: 10.1007/s10439-020-02494-0.[2] J. Berglund, “The Real World: BME graduates reflect on whether universities are providing adequate preparation for a career in industry,” IEEE Pulse, vol. 6, no. 2, pp. 46–49, Mar. 2015, doi: 10.1109/MPUL.2014.2386631.[3] J. Rohde, J. France, B. Benedict, and A. Godwin, “Exploring the Early Career Pathways of Degree Holders from Biomedical, Environmental, and Interdisciplinary/Multidisciplinary Engineering,” presented at the 2020
. In Figure 2,for instance, Mentee 4 is matched with Mentor 0, showcasing the algorithm's inclination towardsoptimizing for the best possible match based on overall compatibility. Figure 2: Test results for one-to-one test scenario. Check Appendix B for algorithm outputTo thoroughly assess the algorithm's performance in terms of speed and accuracy, a substantialdataset comprising 1000 mentees and 500 mentors was introduced. Each mentor's capacity wascapped at 2. The matching execution time, as outlined in Table 2, demonstrated efficiency at 4.08seconds which is lower than the anticipated value for the runtime. Given that many matchingalgorithms often exhibit a complexity of O(n2), where n is the number of users in the database,the algorithm's
question is analyzed by the percentage of students who selected each item. Finally,the open-ended questions are coded thematically and the frequencies are counted, where eachresponse could only fall into one theme area. Numerical and thematic responses are used toassess the efficacy of the course project in meeting student learning outcomes described above.Results and DiscussionDirect Outcomes Assessment from Student ReflectionsEach student contributed a personal reflection in Appendix B of their team’s Phase 3 final report.Their reflections included responses to four questions, listed in Table 5, above. This workexplores responses to Question 2: “What did you learn from completing the project?” Moststudents wrote full paragraph responses to the
. (2020). Labor markets during the COVID-19 crisis: A preliminary view (No. w27017). National Bureau of Economic Research.15. Ziliak, J. P. (2021). Food Hardship during the Covid‐19 Pandemic and Great Recession. Applied Economic Perspectives and Policy, 43(1), 132-152.16. Akos, P., Leonard, A. J., Hutson, B. (2021) Virtual federal work-study and student career development. The Career Development Quarterly, 70, 16-26.17. McCreary, K. (2021) “Private College Tuition Discounting Continued Upward Trend during COVID-19 Pandemic.” NACUBO, https://www.nacubo.org/Press- Releases/2021/Private-College-Tuition-Discounting-Continued-Upward-Trend-During- COVID19-Pandemic.18. Baum, S. (2019) “Rethinking Federal Work Study.” Urban Institute
Literature Review of Empirical Research on ChatGPT in Education.” Rochester, NY, Sep. 06, 2023. doi: 10.2139/ssrn.4562771.[18] C. K. Lo, “What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature,” Educ. Sci., vol. 13, no. 4, Art. no. 4, Apr. 2023, doi: 10.3390/educsci13040410.[19] C. M. L. Phillips, J. S. London, W. C. Lee, A. S. Van Epps, and B. A. Watford, “Reflections on the messiness of initiating a systematic literature review on broadening participation in engineering and computer science,” in 2017 IEEE Frontiers in Education Conference (FIE), Oct. 2017, pp. 1–8. doi: 10.1109/FIE.2017.8190482.[20] L. Krupp et al., “Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT