Schupbach, University of Colorado Denver William is working towards a PhD in Mechanical Engineering at the University of Colorado Denver and is a research assistant and a part time instructor.Prof. Tom Altman Dr. Altman received his Ph.D. in Computer Science from the University of Pittsburgh. He specializes in optimization algorithms, formal language theory, and complex systems. He has published a book and over 90 journal/refereed papers. He received numerous research and teaching awards. Tom has been a PI/co-PI on over 20 external grants, including the NSF(4) and DARPA(2). An ABET CAC Program Evaluator, Dr. Altman has expanded his research interests into STEM and, in particular, Engineering Education.Dr. Michael S
building andcommunication, as well as better project management.References[1] ABET, *Criteria for Accrediting Engineering Programs*, 2020. [Online]. Available:https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2020-2021/. [Accessed: Jan. 16, 2025].[2] N. P. Gaunkar, N. Fila, and M. Mina, “Broadening engineering perspectives by emphasizingthe human side of engineering,” in *Proc. 2020 IEEE Frontiers in Education Conf. (FIE)*,Uppsala, Sweden, 2020.[3] C. A. Roberts and S. M. Lord, “Making engineering socio-technical,” in *Proc. 2020 IEEEFrontiers in Education Conf. (FIE)*, Uppsala, Sweden, 2020. [Online]. Available:https://doi.ieeecomputersociety.org/10.1109/FIE44824.2020.9273957[4] S. H
, attitudes, and self-reported skills related to generative AI, coding, robotics, andengineering tasks. Self-reported likert scale responses of coding ability and robotic skill werealso collected. This was triangulated by asking implicit questions about student coding ability.More specifically student responses to questions such as “If you do have prior programmingexperience: when you "get stuck" and need help, what online resource(s) would you use to figureout how to move forward?” helped assess their prior coding knowledge. For instance,generalized responses that referred to use of a search engine or asking others for help wereindicative of lesser prior knowledge in comparison to student responses that referred to StackOverflow, open source
. AcknowledgmentsSpecial thanks to the Undergraduate Engineering Office and the First-Year Advising team, whosupported this research.VII. References[1] R. J. Waddington, S. Nam, S. Lonn, and S. D. Teasley, “Improving Early Warning Systems with Categorized Course Resource Usage,” Learning Analytics, vol. 3, no. 3, pp. 263–290, Dec. 2016, doi: 10.18608/jla.2016.33.13.[2] R. S. Newman, “How Self-Regulated Learners Cope with Academic Difficulty: The Role of Adaptive Help Seeking,” Theory Into Practice, vol. 41, no. 2, pp. 132–138, 2002.[3] K. Shaaban and R. Reda, “Effectiveness of intrusive advising of engineering first-year students using tailored freshman seminars,” EURASIA J Math Sci Tech Ed, vol. 18, no. 5, p. em2106, Apr. 2022, doi
the CFAs (Social, Knowledge, and Encounter) organized chronologically.In contrast, Group B only had access to an unsorted spreadsheet of activities within the LMS.Group B, thus, did not receive any weekly reminders or LMS-posted information.Group A & B students registered for the CFAs through Google Forms (the links were provided inthe spreadsheet/LMS). Students were asked to provide information about their section, how theyheard about the event, why they wanted to attend it, and any specific question(s) they hoped toget an answer to. Upon completing the form, they received a Google Calendar invite to confirmtheir registration.After each event, students completed a reflection form to document their experiences andconfirm
Pre + Post 1=Beginner to 5=Expert Attitude towards tech challenge How much did you enjoy the tech challenge project you Post 1=Did not enjoy at all to worked on all week? 5=Enjoyed it a lot How well did you work with your team? Post 1=Did not work well together at all to 5=Worked together very well Psychological safety (Cronbach’s α = .80) I felt comfortable talking to the project advisor(s) about Post 1=Not true at all to my questions
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size of minority groups, which prevents a moredetailed empirical analysis by race, first-generation status, and economically disadvantagedstudents.References1 Clayton, A. B., & Worsham, R. E. (2024). Preparing Students for Postsecondary Success: The Effects of College Advising on College Readiness. Innovative Higher Education, 49(1), 1-24.2 2 Vedogbeton, H., Brown, C., Somasse, G. B., & Krueger, R. (2023, June). Improving the Experiences and Retention of Black Students in STEM Education. In 2023 ASEE Annual Conference & Exposition.3 Kurlaender, M., Reed, S., & Hurtt, A. (2019). Improving College Readiness: A Research Summary and Implications for Practice. Policy Analysis for California Education, PACE.4 Gottfried, M. A
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, this contract grading system appears to at the very least dissipate stress and anxietyfor incoming engineering students, and optimistically may lead to further enhanced learning.[1] Gloria Fragoso-Diaz, Billy Gray “An Analysis of Student Retention Efforts in EngineeringTechnology Programs”, Paper ID #36933, ASEE Conference, 2022.[2] A.M. Lucietto and S. E. Leach, “Main Campus and Remote Campus Engineering TechnologyStudents: How Are They Different?”, 2017. 2017 ASEE Annual Conference & Exposition,Columbus, Ohio.[3] Robin L. Flanigan , “Engineering Students Quit, But Retention Tactics Abound”, ASME,April 10, 2024.[4] USG Enrollment Reports, https://www.usg.edu/research/enrollment_reports[5]Nancy Reichert, “Practice Makes Perfect
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