-Miguel. Implementing the sustainable development goals in university higher education: A systematic review. International Journal of Sustainable Development and Planning, 18(6):1769–1776, 2023. 4 S. Lee and D. Shapiro. Completing college: National and state report with longitudinal data dashboard on six- and eight-year completion rates. (signature report 22),. Technical report, National Student Clearinghouse Research Center, Herndon, VA, 2023. 5 A. Valero and J. Van Reenen. The economic impact of universities: Evidence from across the globe. Economics of Education Review, 68:53–67, 2019. 6 M. Hanson. College Graduation Statistics. 2023. EducationData.org. 7 B. Yoder. ASEE Retention and Time-to-Graduation
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Enhancing Engineering Curricula Through Laboratory-based Learning: Pedagogical Approaches, Challenges, and Innovations Marvin Gayle, Danny Mangra Queensborough Community College The City University of New York [CUNY] Queens New York, USA Abstract—Laboratory-based instruction is a critical underscore ways to evaluate the effect of laboratory education oncomponent of engineering education. It
. 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
. Career goals and retention-related factors among college freshmen. Journal of Career Development, 32(1):16–30, 2005. [6] Leila Zahedi, Stephanie J. Lunn, Samira Pouyanfar, Monique S. Ross, and Matthew W. Ohland. Leveraging machine-learning techniques to analyze computing persistence in undergraduate programs. In 2020 ASEE Virtual Annual Conference Content Access, number 10.18260/1-2–34921, Virtual On line, June 2020. ASEE Conferences. https://peer.asee.org/34921. [7] Ilias O Pappas, Michail N Giannakos, and Letizia Jaccheri. Investigating factors influencing students’ intention to dropout computer science studies. In Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education
more meaningful technical assessment for reviewers. These learnings canbe incorporated into any program whether remote or in-person and have allowed us to improvethe student outcomes of the course.References [1] ABET. "Criteria for Accrediting Engineering Programs 2020-2021." Cycle., https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2020-2021/. [2] McKenzie, Larry J., Michael S. Trevisan, Denny C. Davis, and Steven W. Beyerlein. 2004. "Capstone Design Courses and Assessment: A National Study.". [3] Howe S, Goldberg J. Engineering capstone design education: Current practices, emerging trends, and successful strategies. In: Design education today. 2019. [4
Instruction: Best Practices, Challenges, and Opportunities,” Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference, June 2021. https://peer.asee.org/38005.[2] SWIVL, https://www.swivl.com/, retrieved on 5 March 2021.[3] T. Usova, Optimizing our teaching: Hybrid mode of instruction. Partnership: The Canadian Journal of Library and Information Practice and Research, 6(2), 2011.[4] C. Li, Hybrid Teaching of College English Under the Background of Big Data. Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), 445- 450, 2020.[5] S. Singh and A. Arya. A hybrid flipped-classroom approach for online teaching of biochemistry in developing
used forstructural analysis of trusses and frames [5-7]. Only few references are provided in this paper asan example. However, this list by no means is complete. The work reported in this paper is basedon an earlier work published in ASEE by the current author along with the other co-authors [8],and the work presented by one of the students at MS&T conference [9]. The senior electivecourse is offered as an independent study few times with enrollment each time of no more than 4to 6. For the class project, both NX and SolidWorks CAE tools have been used for the simulation[10]. Several MATLAB files for 3D truss and frame analysis are also available at MATLABCentral File Exchange [11 - 12], however, these codes have to be understood thoroughly
represented an even balance of experience,with 36% having 3-10 years, 26% having 10-20 years, and 38% having over 20 years ofexperience. The experts represented 23 academic institutions, 15 academic disciplines, threeadministrative offices, nine position types, and between 3-20+ years of experience. For moredetailed information about the demographic attributes of the participants, please refer to thelarger study reported in [2].Convenience and snowball sampling [7] were used at the 2019 American Society forEngineering Education (ASEE) Annual Conference and Exposition to select a group ofengineering experts with varied backgrounds and experiences who are invested in supportingmore thriving engineering students [8]. A Qualtrics link to an initial
R. Baffour, "Collaborative virtual reality training experience for engineering land surveying," in Cross Reality and Data Science in Engineering, Cham, M. E. Auer and D. May, Eds., 2021: Springer International Publishing, pp. 411-426.[9] R. Heradio, L. de la Torre, and S. Dormido, "Virtual and remote labs in control education: A survey," Annual Reviews in Control, vol. 42, pp. 1-10, 2016, doi: https://doi.org/10.1016/j.arcontrol.2016.08.001.[10] L. S. Post, P. Guo, N. Saab, and W. Admiraal, "Effects of remote labs on cognitive, behavioral, and affective learning outcomes in higher education," Computers & Education, vol. 140, 2019, doi: https://doi.org/10.1016/j.compedu.2019.103596.[11] E
-the-university- of-windsor[5] A. Danowitz and K. Beddoes, “Characterizing mental health and wellness in students across engineering disciplines,” 2018 Collab. Netw. Eng. Comput. Divers. Conf. Proc., Apr. 2018, [Online]. Available: https://digitalcommons.calpoly.edu/csse_fac/255[6] X. Wang, S. Hegde, C. Son, B. Keller, A. Smith, and F. Sasangohar, “Investigating Mental Health of US College Students During the COVID-19 Pandemic: Cross-Sectional Survey Study,” J. Med. Internet Res., vol. 22, no. 9, p. e22817, Sep. 2020, doi: 10.2196/22817.[7] S. A. Wilson, J. H. Hammer, and E. L. Usher, “Faculty Experiences with Undergraduate Engineering Student Mental Health,” presented at the 2021 ASEE Virtual Annual Conference
-the-depth-of-gender-bias/[4] Belle, D., Tartarilla, A.B., Wapman, M. et al. (2021). “I Can’t Operate, that Boy Is my Son!”:Gender Schemas and a Classic Riddle. Sex Roles 85, 161–171. https://doi.org/10.1007/s11199-020-01211-4[5] Poleacovschi, C., Faust, K., Roy, A., & Feinstein, S. (2021). Identity of EngineeringExpertise: Implicitly Biased and Sustaining the Gender Gap. Journal of Civil EngineeringEducation, 147(1), 04020011.[6] Haverkamp, A. (2018, June), The Complexity of Nonbinary Gender Inclusion in EngineeringCulture Paper presented at 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah.10.18260/1-2--31084[7] Rohde, J., & Kirn, A., & Godwin, A. (2017, June). Engineering Allies: The Personalities ofCisgender
) Research on classroom and school climate. In D. Gabel (ed) Handbook ofResearch on Science Teaching and Learning (pp. 493-541). New York: Macmillan.[13] Fraser, B. J. (1998a) Classroom environment instruments: Development, Validity, andapplications. Learning Environments Research, 1, 7-33.[14] Marquez, E., Garcia Jr., S. Creating a Learning Environment that Engages EngineeringStudents in the Classroom via Communication Strategies. 2019 ASEE Annual Conference &Exposition. June 16-19, Tampa, Fl. Paper ID: 26093.[15] Marquez, E., Garcia Jr., S. Teaching Engineering Virtually: A Rapid Response to Address theAcademic Challenges Generated by COVID-19. 2021 ASEE Gulf-Southwest Annual Conference.March 24-26, Baylor University. Waco, Texas. Paper ID
Assessment, and Dynamic Instruction in Engineering” ASEE Annual Conference & Exposition, 2015.[10] Angular, 2022. [Online]. Available: https://angular.io/. [Accessed: 13-Feb-2022].[11] “JavaScript with syntax for types.,” TypeScript, 2022. [Online]. Available: https://www.typescriptlang.org/. [Accessed: 13-Feb-2022].[12] T. Dowd, R. Dutile, and H. Zhang (2020). (rep.). PMKS+: Enhancements. Worcester, MA: Worcester Polytechnic Institute.[13] P. Appikatla, G. Cecil, M. Taylor, and D. Tsiakmakis, (2019). (rep.). PMKS+: Recreating a Legacy Application. Worcester, MA: Worcester Polytechnic Institute.
. 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