. With Engaged Teaching Hub, Minju has designed TA training materials for oral exams and have conducted quantitative analysis on the value of oral exams as early diagnostic tool (Kim et al., ASEE 2022). Minju is interested in designing assessments that can capture and motivate students’ deep conceptual learning, such as oral exams and the usage of visual representations (e.g., diagrams and manual gestures).Marko V. Lubarda, University of California, San Diego Marko V. Lubarda is an Assistant Teaching Professor in the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. He teaches mechanics, materials science, design, computational analysis, and engineering mathematics courses
. Benefits of collaborative learning. Procedia-social and behavioral sciences, 31:486–490, 2012. [2] Heisawn Jeong, Cindy E Hmelo-Silver, and Kihyun Jo. Ten years of computer-supported collaborative learning: A meta-analysis of cscl in stem education during 2005–2014. Educational research review, 28:100284, 2019. [3] Geoffrey Herman, Yucheng Jiang, Yueqi Jiang, Seth Poulsen, Matthew West, and Mariana Silva. An analytic comparison of student-scheduled and instructor-scheduled collaborative learning in online contexts. In 2022 ASEE Annual Conference & Exposition, 2022. [4] Yu-Tzu Lin, Cheng-Chih Wu, and Chiung-Fang Chiu. The use of wiki in teaching programming: Effects upon achievement, attitudes, and collaborative programming
, "Modeling of student academic achievement in engineering education using cognitive and non-cognitive factors," Journal of Applied Research in Higher Education, vol. 11, no. 2, pp. 178-198, 2019.[4] D. Visco, N. Makki, E. Stevic, J. Phillips, E. Bonnema, D. Dunn and L. Carey, "Zip to Industry: A First-Year Corporate-STEM Connection Program," in 2022 ASEE Annual Conference & Exposition, Minneapolis, 2022.[5] A. Van Wart, T. C. O'Brien, S. Varvayanis, J. Alder, J. Greenier and R. L. Layton, "Applying Experiential Learning to Career Development Training for Biomedical Graduate Students and Postdocs: Perspectives on Program Development and Design," CBE- Life Sciences Education, vol. 19, no. 3, 2020.[6] M. Moriarty, S
. J. Pavelich, “Validity, reliability and the assessment of engineering education,” Journal of Engineering Education, vol. 91, no. 3, pp. 351–354, 2002.[7] H. Taherdoost, “Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research,” How to test the validation of a questionnaire/survey in a research (August 10, 2016), 2016.[8] D. Kim, B. K. Jesiek, and A. Mazzurco, “Development and validation of the sojourn readiness assessment (SRA): Exploratory and confirmatory factor analysis and translation to Chinese,” International Journal of Intercultural Relations, vol. 88, pp. 95–105, 2022.[9] A. Godwin, “The development of a measure of engineering identity,” in ASEE
someimplementation strategies have been explored much more often than others. For example, asimple search on the ASEE PEER system for the term “problem based learning” yields morethan 2700 conference proceedings related to that topic over the past 25 years. At the other end ofthe spectrum, the literature is almost totally silent on the evaluation of collaborativeenvironments associated with student created study guides (a.k.a. “cheat sheets”) for quizzes andexams. As instructors will sometimes allow students to use their own study guides on exams, itis interesting to explore different creation methods (e.g., individual vs team created).The use of study guides, whether student created or instructor/book created, has probably beenaround as long as instructors
baseline systems thinking in an introductory engineering design course,” ASEE Annu. Conf. Content Access, Virtual Online, 2021.[11] A. Goncher, M. Li, and & J. M.-G., “A Pilot Study Assessing Student’s Problem and Information Identification Skills in an Introductory Engineering Design Course,” ASEE Annu. Conf., 2022, Accessed: Feb. 17, 2023. [Online]. Available: https://peer.asee.org/a -pilot-study-assessing-student-s-problem-and- information-identifica tion-skills-in-an-introductory-engineering-design-course.[12] J. L. Fleiss, Statistical Methods for Rates and Proportions, 2d. New York: Wiley, 1981.[13] J. L. Fleiss and M. C. Paik, “The Measurement of Interrater Agreement,” in Statistical Methods for Rates
additional rooms. This meantthat even nurses with three-room assignments were often covering more than the roomsdocumented on the white board at the nursing station.At the time the project began, no personnel assignment data was recorded. Each day, the chargenurse would write the room assignments on the large white board by the nurses’ station with thespecific room assignments. Every 12 hours or so, the board would be erased and as the shiftschanged, the data would be lost. As such, the first step of this project involved replicating thewhiteboard data on a simple check sheet to record how personnel assignments were allocated.An example of this can be seen in Figure 1.ASEE 2023Industrial Engineering DivisionFigure 1: Data Capture for Room
ASEE, he is chair of the Two-Year College Division, and Vice-Chair/Community Col- leges of the Pacific Southwest Section. He received the Outstanding Teaching Award for the ASEE/PSW Section in 2022.Dr. Lizabeth L. Thompson, California Polytechnic State University, San Luis Obispo Lizabeth is a professor at Cal Poly, SLO in Industrial and Manufacturing Engineering. She has been teaching for 22 years and has continued to develop innovative pedagogy such as project based, flipped classroom and competency grading. Through the SUSTAINStephen Robert Beard ©American Society for Engineering Education, 2023 Comparing Success for Transfers Students and First-Time Freshmen Using
Paper ID #37486Influence of Group Learning in Environmental Engineering: A Curriculumand Course-level AssessmentMatthew Baideme P.E., United States Military Academy Matt Baideme is a Lieutenant Colonel in the United States Army. He earned his Ph.D. from Columbia Uni- versity (2019). He teaches courses in environmental engineering and science, with research and teaching interests focused on engineering education, engineered biological treatment systems, microbial nitrogen cycling, and microbial biochemical degradation pathways.Kathryn Blair NewhartCristian RobbinsDr. Michael A. Butkus P.E., United States Military Academy
. Dhok, etc. Use of concept map as a reinforcement tool in undergraduate curriculum: An analytical study. J Adv Med Educ., vol. 7, no. 3, pp. 118- 122, July 2019. DOI: 10.30476/JAMP.2019.74920.[10] G. W. Ellis, A. Rudnitsky, and B. Silverstein. Using Concept Maps to Enhance Understanding in Engineering Education. Int. J. Engng. Ed., vol. 20, no. 6, pp. 1012-1021, 2004.[11] R. Pierre-Antoine, S. D. Sheppard, and M. Schar. Utilizing Concept Maps to Improve Engineering Course Curriculum in Teaching Mechanics. 121st ASEE Annual Conference & Exposition, Indianapolis, IN, June 2014.[12] M. Gamarra, A. Dominguez, J. Velazquez, and H. Páez, A gamification strategy in engineering education—A case study on motivation and
new geospatial technology competency model: Bringing workforce needs into focus," Urisa Journal, vol. 22, no. 2, p. 55, 2010.[14] L. Potts and H. Jin, "Diversity, Equity, and Inclusion (DEI): A conceptual framework for instruction and learning the Geospatial Technology Competency Model (GTCM)," in 2022 ASEE Annual Conference & Exposition, 2022. [Online]. Available: https://peer.asee.org/40743.[15] L. Potts and H. Jin, "Cognitive strategies in STEM education: Supporting the development of engineers’ multi-and cross-disciplinary competence," in 2022 Spring ASEE Middle Atlantic Section Conference, 2022. [Online]. Available: https://peer.asee.org/40044.[16] S. W. Bednarz and K. Kemp
. She also earned a graduate certificate in human-centered design (HCD) from the Interdisciplinary Graduate Education Program at Virginia Tech. Marie’s interest in values and engagement in professional cultures also extends to innovation and its experts.With Matthew Wisnioski and Eric Hintz, Marie co-editedDoes America Need More Innova- tors?(MIT Press, 2019). This project engages innovation’s champions, critics, and reformers in critical participation.Dr. Aubrey Wigner, Colorado School of Mines Aubrey Wigner is an assistant professor at the Colorado School of Mines where he teaches engineering design, entrepreneurship, and systems design.Dr. Dean Nieusma, Colorado School of Mines Dean Nieusma is Department
, or conclusions within this paper are thoseof the authors and do not necessarily reflect the views of the sponsors. The authors would alsolike to thank Xing Chen, Ryan MacCagnan, and Vitesh Sharma for their help in developing thegame.References[1] O. Ashour, A. Seamon, C. Lopez, S. Ozden, D. DiFrancesca, and C. Tucker, “A Study on the Effectiveness of Using Integrated Nonlinear Storytelling and Simulation-Based Learning Game in an Operations Research Course,” ASEE Annual Conference Expo., 2022.[2] J. F. Lee and K. W. Pruitt, “Homework assignments: Classroom games or teaching tools?,” The Clearing House: A Journal of Educational Strategies, Issues and Ideas, vol. 53, no. 1, pp. 31–35, 1979.[3] W. Doyle, “Work in
term' soft skills,'" J. Manag. Inq., vol. 28, no. 2, pp. 225–227, Apr. 2019, doi: 10.1177/1056492618818023.[3] L. J. Shuman, M. Besterfield-Sacre, and J. McGourty, "The ABET' professional skills' — Can they be taught? Can they be assessed?," J. Eng. Educ., vol. 94, no. 1, pp. 41–55, 2005, doi: 10.1002/j.2168-9830.2005.tb00828.x.[4] F. Campi, V. Neal, R. Airoldi, and J. Nurmi, "Training communication skills in project- oriented microelectronics courses," presented at the 10th European Workshop on Microelectronics Education (EWME), Tallinn, Estonia: IEEE, 2014, pp. 16–20. doi: 10.1109/EWME.2014.6877387.[5] M. J. Riemer, "Communication skills for the 21st century engineer," Glob. J. Eng. Educ., vol. 11, no. 1, pp
, vol. 59, no. 2, pp. 1415–1446, 2019, doi: 10.1111/acfi.12256.[6] N. Weliweriya, E. C. Sayre, and D. A. Zollman, “The Effectiveness of ‘Pencasts’ in Physics Courses,” The Physics Teacher, vol. 56, no. 3, pp. 161–164, Mar. 2018, doi: 10.1119/1.5025294.[7] J. Herold, T. Stahovich, H. Lin, and R. C. Calfee, “The Effectiveness of ‘Pencasts’ as an Instructional Medium,” presented at the 2011 ASEE Annual Conference & Exposition, Jun. 2011, p. 22.1452.1-22.1452.19. Accessed: Dec. 22, 2022. [Online]. Available: https://peer.asee.org/the-effectiveness-of-pencasts-as-an-instructional-mediumAppendix A: Screencast intervention, extra credit version (Fall 2022)Appendix B: Screencast peer review rubric (Winter 2023)Appendix C: Screen
point 30 to 2019, thepoint 31 to 2020, the point 32 to year 2021, and the point 33 to year 2022. There were 13 PhDdegrees awarded in year 2020, 11 PhD degrees in year 2021, and 12 PhD degrees in year 2022. UTA mathematics GR students UTA UG mathematics majors 113 total (83 PhD and 30 master’s students) 262 total 66% domestic, 34% int’l 89% domestic, 11% int’l 45% women, 55% men 49% women, 51% men URM: 27% of all math GR students URM: 29% of all UG math majors URM: 42% of all domestic math GR URM: 33% of domestic UG math Table 1. The fall 2020 data for UTA mathematics students
. [Accessed January 2023].[3] ABET, "Criteria for Accrediting Engineering Programs, 2022-2023," 2023. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2022-2023/. [Accessed December 2022].[4] R. Felder and R. Brent, "Designing and Teaching Courses to Satisfy the ABET Engineering Criteria," Journal of Engineering Education, vol. 92, pp. 7-25, 2003.[5] L. R. Lattuca, P. T. Terenzini and J. F. Volkwein, "Engineering Change - A Study of the Impact of EC2000," Baltimore, 2006.[6] I. Izenberg, S. Marra, T. Mackesey, L. Kendrick and J. Bernstein, "Industry Assessment of Multidisciplinary Teamwork Skills," in 2022 ASEE Annual Conference & Exposition
, experimental testing, and 3D printingthrough a 4-week project while providing students an opportunity to be creative through anengaging, open-ended project of appropriate level of challenge.The assessment of the lab aimed to answer the following research questions:(1) What resources and tools do students find helpful during the lab?(2) Which major attributes of the lab are perceived as educational by students?(3) Which major attributes of the lab posed a challenge for students?(4) Which major attributes of the lab were engaging for students?IV. MethodsSample: The DBT lab was assessed over a period of two years (2019, 2020). The students wereenrolled in the required junior-level lab that met once a week in-person. A total of 39 studentsparticipated
’ reflections over the longer term.5. AcknowledgementsThe EPSRC Centre for Doctoral Training in Embedded Intelligence is co-sponsored by theEngineering & Physical Sciences Research Council in the United Kingdom (grant numberEP/L014998/1). The authors are grateful to Dr Poul Kyvsgaard Hansen at Aalborg University(Denmark) and to Dr Ade Mabogunje at Stanford University for insightful discussions aboutthe scoring method used on candidate’s approach and attitude to this exercise. All the CDT-EI researchers who participated in this study are gratefully acknowledged.References[1] C. Torres-Sánchez and P. P. Conway, "Transition Zone: A Training Ethos Designed to Scaffold a Ph.D. Degree," in ASEE Annual Conference & Exposition, Tampa
Paper ID #38425Student Engagement with Interactive Engineering Textbook ReadingAssignments When Tied to the GradeChelsea Gordon, zyBooks, A Wiley Brand Chelsea Gordon received her PhD in Cognitive Science at University of California, Merced in 2019. Chelsea works as a research scientist for zyBooks, a Wiley company that creates and publishes interactive, web-native textbooks in STEM.Dr. Adrian Rodriguez, University of Texas at Austin Adrian Rodriguez is an Engineering Content Developer for zyBooks, a Wiley brand and a Lecturer in Mechanical Engineering at The University of Texas at Austin. His research interests include
,” 2015, [Online]. Available: https://wedocs.unep.org/20.500.11822/9814[4] O. Leifler and J.-E. Dahlin, “Curriculum integration of sustainability in engineering education – a national study of programme director perspectives,” International Journal of Sustainability in Higher Education, vol. 21, no. 5, pp. 877–894, Jan. 2020, doi: 10.1108/IJSHE-09-2019-0286.[5] “Criteria for Accrediting Engineering Programs, 2022 – 2023.” ABET. Accessed: Feb. 13, 2023. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria- for-accrediting-engineering-programs-2022-2023/[6] J. Taylor and R. Oulton, “Engineering for People and Planet: A Multidisciplinary Course Proposal for Engineers on the UN
2001 and teaching engineering courses since 2008. Renewable Energy Technologies, Electrical Circuits and Electronics, Introduction to Engi- neering, Electrical Substations, Introduction to AutoCAD, Digital Electronics and Systems and Controls are among the courses Dr Melendez-Norona has taught. She is committed to an engineering education of excellence and to service the community and has participated in a training for cybersecurity issues immersed in smart grids also funded by the NSF. Dr Melendez-Norona is currently a postdoctoral fellow at Florida Atlantic University (Florida, United States), with the support of the ASEE eFellows program, funded by the National Science Foundation (NSF).Dr. Maria M. Larrondo
of Innovative Education 2.1 (2004): 11-26.[16] L. W. Anderson and D. R. Krathwohl. A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Longman, 2021.[17] S. A. Atwood and A. Singh. "Improved pedagogy enabled by assessment using gradescope." 2018 ASEE Annual Conference & Exposition. 2018.[18] Electrical Technology, “Active, Reactive, Apparent and Complex Power,” https://www.electricaltechnology.org/2013/07/active-reactive-apparent-and-complex.html[19] M. Yen. S. Karayev, and E. Wang. "Analysis of grading times of short answer questions." Proceedings of the Seventh ACM Conference on Learning@ Scale. 2020.[20] J. L. Falconer and J. deGrazia. "Grading Exams and
= Average of all grades in this column in %References[1] Lee, John; Wickens, Christopher; Liu, Yili; Boyle, Linda., Designing for People: AnIntroduction to Human Factors Engineering. 2017.[2] D. E. Melton, “Stacking Entrepreneurially Minded Learning Alongside OtherPedagogies,” ASEE Prism, vol. 28, no. 6, pp. 32–35, 2019.[3] C. D. Wickens, W. S. Helton, J. G
Case Study of zyLabs,” in 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021. Accessed: Feb. 28, 2023. [Online]. Available: https://peer.asee.org/37887[2] “DOMjudge - Programming Contest Jury System.” https://www.domjudge.org/ (accessed Feb. 28, 2023).[3] “Judge0 - Where code happens.” https://judge0.com/ (accessed Feb. 28, 2023).[4] “Sphere Online Judge (SPOJ).” https://www.spoj.com/ (accessed Feb. 28, 2023).[5] “zyBooks - Build Confidence and Save Time With Interactive Textbooks.” https://www.zybooks.com/ (accessed Feb. 28, 2023).[6] “Runestone Academy.” https://runestone.academy/ (accessed Feb. 28, 2023).[7] “Revel | Pearson.” https://www.pearsonhighered.com/revel/index.html (accessed Feb
results (particularly Figure 4) support thefinding that even partial implementation of ETT can result in an improved teamwork experiencefor the students in the context of this study, both in terms of their perception of psychologicalsafety and their perception of how well their team embodied good teamwork practices.References[1] K. K. Wobbe and E. A. Stoddard, Project-Based Learning in the First Year: Beyond All Expectations. Stylus Publishing, LLC, 2019.[2] Folk-Williams, John, “How Diversity Improves Collaborative Problem-Solving – Cross Collaborate,” Sep. 01, 2022. https://web.archive.org/web/20220901160838/http://www.crosscollaborate.com/2010/05/div ersity-improves-collaborative-problem-solving/ (accessed Sep. 01, 2022).[3] D
target and perceiver effects 𝜌𝑟 0.167 correlation between reciprocal ratings Next, we independently generate two sets of 1,000 datasets using equations (6)-(15) andthe parameter values in Table 1. The first set of 1,000 smaller datasets each has 15 student teamswith five students per team, and we observe ratings across four different time periods. The nextset of 1,000 larger datasets each has 30 student teams with other settings identical. Aftergenerating the simulated datasets, we estimated the modeling parameters in Table 1 separatelyusing our Bayesian method, the SR-SEM using the "srm" R package (Nestler et al., 2019), and astandard two-step model using the "TripleR" package (Schönbrodt et al., 2012). The
Student Learning in Undergraduate Engineering Education by Improving Teaching and Assessment,” Adv. Eng. Educ., vol. 7, no. 2, pp. 1–30, 2019.[28] National Research Council, How people learn: Brain, mind, experience, and school: Expanded edition. Washington, DC: The National Academies Press, 2000.[29] H. W. Fennell, G. S. Coutinho, A. J. Magana, D. Restrepo, and P. D. Zavattieri, “Enhancing student meaning-making of threshold concepts via computation: The case of Mohr’s circle,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2017, vol. 2017-June.[30] K. Smith, S. Sheppard, D. Johnson, and R. Johnson, “Pedagogies of Engagement: Classroom-Based Practices,” J. Eng. Educ., vol. 94, no