AbstractThe impact of multiple-attempt testing (MAT) on students’ overall success and retention infundamental engineering courses was studied when implemented in a blended mixed-mode (M-mode) class where students were given simple assignments before class. Two engineering courseswere delivered in M-mode in Spring 2023 (post-COVID): Dynamics and Thermodynamics, whoseresults were compared to the same courses given in the same semester, four years earlier, deliveredin M-mode in Spring 2019 (pre-COVID). All four courses were large classes of 167 students inDynamics to a maximum of 245 in Thermodynamics.All courses had three tests during the semester conducted in the Evaluation Proficiency Center(EPC). In Spring 2019, students were given a five-day window
Conference, ASEE 2021, July 26, 2021 - July 29, 2021, in ASEE Annual Conference and Exposition, Conference Proceedings. Virtual, Online: American Society for Engineering Education, 2021.[26] S. J. Bork and J.-L. Mondisa, “Science, engineering, and mathematics graduate student mental health insights from the healthy minds network dataset,” in 126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019, June 15, 2019 - June 19, 2019, in ASEE Annual Conference and Exposition, Conference Proceedings. Tampa, FL, United states: American Society for Engineering Education, 2019.[27] S. Bork, “Examining Factors Related to Engineering Graduate Students’ Mental Health Experiences,” PhD Thesis, 2023
Engineering Education (ASEE) [35], [36]. NCES contains an array ofhistorical data from each U.S. institution including standardized test score ranges of acceptedstudents, institutional characteristics (e.g., public or private, average cost of attendance),enrollment information, graduation rates, and more. This rich source of data can besupplemented by profiles submitted to ASEE by participating institutions, which contain similardata to the NCES database, as well as faculty demographics.Preliminary FindingsThe list of institutions accredited by the EAC of ABET was exported to establish the scope ofdata collection. Following the removal of duplicate listings and institutions that are no longeraccepting applications, 498 institutions comprised the list
, Interrupted: The Experience and Effects of Gender Microaggressions for Women in STEM. Journal of Business Ethics, 185(3), 513– 531. https://doi.org/10.1007/s10551-022-05203-0Kirn, A. & Benson, L. (2015)..Engineering students’ perceptions of the future: Exploratory instrument development. 2015 American Society for Engineering Education Annual Meeting. https://peer.asee.org/engineering-students-perceptions-of-the-future- exploratory-instrument-development.pdfLangus, T. C., Pearson, N. S., Major, J. C., Godwin, A., & Kirn, A. (2019). WIP: How traumatic events help shape social exclusion in engineering teams. ASEE Annual Conference and Exposition, Conference Proceedings. https://strategy.asee.org/work-in
, 2017 (Spring). [4] D. S. Rose M. Karra, Kelly A. Rodgers and B. Bogue, “Leaving engineering: A multi-year single institution study,” Journal of Engineering Education, vol. 101(1), pp. 6–27, 2010. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1002/j.2168-9830.2012.tb00039.x [5] K. Jensen and K. J. Cross, “Student perceptions of engineering stress culture,” in The ASEE Annual Conference and Exposition, 2019. [Online]. Available: https://peer.asee.org/32418 [6] E. Godfrey and L. Parker, “Mapping the cultural landscape in engineering education,” Journal of Engineering Education, vol. 99(1), pp. 5 – 22, 2010. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1002/j.2168-9830.2010.tb01038.x [7] J
share withour ASEE community with what we did and learned from this work, and to seek feedback on thisnewly established active learning approach for our future research activities in other engineeringcourses.The lab component of this course consists of about 10 different experiments. Once a week, studentswere divided into small sections and conduct the experiments under the guidance of the labinstructor. The active learning element was added after the experiment on latent heat. Uponcompleting this latent heat experiment, students were asked to design a new lab experiment tomeasure the specific heat of several commonly used construction materials and by using themeasurement tools they learned from the just finished latent heat experiment. Once
Proceedings, June 2020. [5] E. Briody, R. Rodriguez-Mejia, C. W. Rothstein, and E. Berger, “Busy times, production students: Cutoff points marking time in university engineering culture,” 2021. [Online]. Available: https://www.purdue.edu/meercat/wp-content/uploads/2020/12/REES-Final- Version-of-Paper-May-2019.pdf [6] E. Dringenberg and A. Kramer, “Smartness in engineering culture: An interdisciplinary dialogue paper,” in 2019 ASEE Annual Conference and Exposition, no. 10.18260/1-2–33272, Tampa, Florida, USA, 2019. [7] D. S. Rose M. Karra, Kelly A. Rodgers and B. Bogue, “Leaving engineering: A multi-year single institution study,” Journal of Engineering Education, vol. 101(1), pp. 6–27, 2010. [Online]. Available: https
education: Fit for purpose? Unpublished manuscript.Sottile, B. J., Canale, A., Xia, Y., Kane, T., & Cutler, S. (2024). Work in progress: Evaluating the current state of the first-year seminar program at Penn State University. Paper presented at the 2024 ASEE Annual Conference and Exposition, Portland, OR.Verma, J. P., & Abdel-Salam, A.-S. G. (2019). Testing statistical assumptions in research. Wiley. https://doi.org/10.1002/9781119528388Xu, Z., Zayed, T., Lin, Y.-H., Wang, S., & Li, H. (2020). Relationship between social media and ASCE code of ethics: Review and case-based discussion. Journal of Civil Engineering Education, 146(2). https://doi.org/10.1061/(ASCE)EI.2643-9115.0000005
engineering students’ longitudinal development and trajectories.Dr. Matthew W. Ohland, Purdue University Matthew W. Ohland is the Dale and Suzi Gallagher Professor and Associate Head of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students and forming and managing teams has been supported by the National Science Foundation and the Sloan Foundation and his team received for the best paper published in the Journal of Engineering Education in 2008, 2011, and 2019 and from the IEEE Transactions on Education in 2011 and 2015. Dr. Ohland is an ABET Program Evaluator for
. Paragulla, D. Llulluy, and A. Roman-Gonzalez, “Facebook as a Didactic Instrument to Improve the Teaching-Learning Process in Programming Courses,” in 2019 IEEE World Conference on Engineering Education (EDUNINE), Lima, Peru: IEEE, Mar. 2019, pp. 1–6. doi: 10.1109/EDUNINE.2019.8875812.[14]* M. Sadri, “Enhancing Peer Influence in STEM Learning and Engagement through Social Media Interactions Using Network Science Principles,” in 2020 ASEE Virtual Annual Conference Content Access Proceedings, Virtual Online: ASEE Conferences, Jun. 2020, p. 34572. doi: 10.18260/1-2--34572.[15]* N. Gambo, I. Musonda, and A. N. Zadawa, “Effects of Social Media
preparedness in cognitive, affective, and psychomotor domains of learning, and faculty experiences in teaching online courses. He has published papers at several engineering education research conferences and journals. Particularly, his work is published in the International Conference on Transformations in Engineering Education (ICTIEE), American Society for Engineering Education (ASEE), Computer Applications in Engineering Education (CAEE), International Journal of Engineering Education (IJEE), Journal of Engineering Education Transformations (JEET), and IEEE Transactions on Education. He is also serving as a reviewer for a number of conferences and journals focused on engineering education research
Proceedings, New Orleans, Louisiana: ASEE Conferences, Jun. 2016, p. 26629. doi: 10.18260/p.26629.[2] H. Chaibate, A. Hadek, S. Ajana, S. Bakkali, and K. Faraj, “A Comparative Study of the Engineering Soft Skills Required by Moroccan Job Market,” Int. J. High. Educ., vol. 9, no. 1, p. 142, Dec. 2019, doi: 10.5430/ijhe.v9n1p142.[3] M. S. Rao, “Enhancing employability in engineering and management students through soft skills,” Ind. Commer. Train., vol. 46, no. 1, pp. 42–48, Jan. 2014, doi: 10.1108/ICT-04-2013-0023.[4] J. Dawson and S. Kuchnicki, “Experiences Of Using Formula Sae As A Capstone Design Project,” in 2010 Annual Conference & Exposition Proceedings, Louisville, Kentucky: ASEE Conferences, Jun. 2010, p. 15.555.1
2019 2020 2021 2022 2023 Conference Proceedings Journals Book ChaptersFigure 2 provides a concise overview of the acquired publications, adhering to the PRISMA2020 protocol. The data reveals a prevalence of articles published in journals (74%) asopposed to conference proceedings (21%). The majority of journal papers were primarilypublished in 2017 and 2020, while proceedings predominantly featured publications from2019. In addition, a small fraction (5%) of the included studies consisted of book chaptersthat were published in 2012 and 2013.Figure 3: Research Methods used Across Reviewed Studies 16 14 12 10 8 6 4 2 0The articles reviewed employed a wide variety of methods. Figure 3
student’s answers were recorded in a dichotomous format,meaning that answers were recorded as either correct or incorrect. Correct answers from eachstudent were summed to form a raw score and converted to a percentage form. Of the 111students who took the TMCT, 108 completed all 12 items, including 63 who completed subtestA and 45 who completed subtest B. Missing data were assumed incorrect. Independent samples ttests were performed between groups to assess equivalence of means. All calculations wereperformed using Microsoft Excel 2019 or Jamovi 2.3.21 [37].Internal consistency of the TMCT with a sighted population was assessed using both Cronbach’salpha and McDonald’s Omega. Cronbach’s alpha is a widely used measure of internalconsistency for
mining and learning analytics in engineering education, broadening student participation in engineering, faculty preparedness in cognitive, affective, and psychomotor domains of learning, and faculty experiences in teaching online courses. He has published papers at several engineering education research conferences and journals. Particularly, his work is published in the International Conference on Transformations in Engineering Education (ICTIEE), American Society for Engineering Education (ASEE), Computer Applications in Engineering Education (CAEE), International Journal of Engineering Education (IJEE), Journal of Engineering Education Transformations (JEET), and IEEE Transactions on Education. He is also serving
its increasing use among students and scholars, alongsideLatin* [see also 23].B. Sample and Settings Our analytic sample consists of multiple cohorts of undergraduate students who participated in materialsscience summer research internship programs between 2019 and 2023 in a diverse historically black collegesetting. Table 1 displays self-reported background information for the participants included in this study. Theparticipants were diverse in terms of race, ethnicity, socioeconomic status, and home college/university, aseach cohort included students from the engineering college host site as well as students recruited nationallyfrom other campuses including research-intensive universities, other HBCUs, and most recently alsocommunity
–61, Jul. 2019, doi: 10.1145/3330794.[3] R. T. Javed et al., “Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula,” J. Artif. Intell. Res., vol. 73, pp. 933–965, Mar. 2022, doi: 10.1613/jair.1.13550.[4] L. Tuovinen and A. Rohunen, “Teaching AI Ethics to Engineering Students: Reflections on Syllabus Design and Teaching Methods,” 2021.[5] J. Lönngren, “Exploring the discursive construction of ethics in an introductory engineering course,” J. Eng. Educ., vol. 110, no. 1, pp. 44–69, 2021, doi: 10.1002/jee.20367.[6] R. F. Clancy, Q. Zhu, and Philosophy Documentation Center, “Why Should Ethical Behaviors Be the Ultimate Goal of Engineering Ethics Education?,” Bus. Prof
comprehensive study will be helpful for those who want to betterunderstand faculty perceptions about DEIB, and their resistance to and intention for implementingDEIB practices/activities in their graduate research labs. This work-in-progress work will carryimplications for how faculty individually interact with graduate students and design graduateeducation/research lab DEIB practices and activities. Specifically, the study will promote a morerobust approach to assessing how engineering research labs start or continue to foster DEIB beliefsand create an environment where DEIB activities can thrive.AcknowledgementThis material is based upon work supported by the Alfred P. Sloan Foundation under Grant No.G-2019-11435. Any opinions, findings, conclusions
universitarios,” Revista Electr´onica de Psicolog´ıa Iztacala, vol. 20, no. 1, mar. 2017. [Online]. Available: https://www.revistas.unam.mx/index.php/repi/article/view/58921 [5] F. Sempere-Ripoll and A. Rodr´ıguez-Villalobos, “La emoci´on como clave del e´ xito para el desarrollo de competencias en la direcci´on de operaciones,” Direcci´on y Organizaci´on, p. 73–84, Jul. 2019. [Online]. Available: http://dx.doi.org/10.37610/dyo.v0i68.553 [6] B. Giangrasso, S. Casale, G. Fioravanti, G. L. Flett, and T. Nepon, “Mattering and anti-mattering in emotion regulation and life satisfaction: A mediational analysis of stress and distress during the covid-19 pandemic,” Journal of Psychoeducational Assessment, vol. 40, no. 1, p. 125–141, Dec
relationships between these factorsand peer rating scores in the context of college course teamwork. We used Tandem to collectpeer rating data from 5,322 college students at a Midwest research university spanning the periodfrom 2019 to 2023. Our analysis reveals statistically significant associations between students’peer rating values and their personal factors. Female students, students with higher GPAs, orthose preferring working alone were more likely assigned higher peer ratings, while those ratingthemselves higher in extraversion and task control tended to receive lower ratings. In addition,the multiple-way interactions among personal characteristics suggest that academic performanceis more influential among these factors analyzed. These results
Affecting PhD Student Success. International journal of exercise science, 12(1), 34–45.[5] Cass, C., Kirn, A., Tsugawa, M. A., Perkins, H., Chestnut, J. N., Briggs, D. E., & Miller, B. (2017, June), Board # 18 : Improving Performance and Retention of Engineering Graduate Students through Motivation and Identity Formation Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--27798[6] Perkins, H., Tsugawa-Nieves, M., Bahnson, M., Satterfield, D., Parker, M., Kirn, A., & Cass, C. (2019). Motivation Profiles of engineering doctoral students and implications for persistence. 2019 IEEE Frontiers in Education Conference (FIE). https://doi.org/10.1109
. 06, 2024. [Online]. Available: https://peer.asee.org/the-impact-of-the-physics-statics-and- mechanics-sequence-on-student-retention-and-performance-in-mechanical-engineering[14] D. Reeping, D. B. Knight, J. R. Grohs, and S. W. Case, “Visualization and analysis of student enrollment patterns in foundational engineering courses,” Int. J. Eng. Educ., vol. 35, no. 1A, 2019.[15] S. Pisano, H. Ma, B. Fulgham, G. Guadagni, D. D. Morris, and M. Abramenko, “Redesigning the Calculus Curriculum for Engineering Students,” presented at the 2018 ASEE Annual Conference & Exposition, Jun. 2018. Accessed: Feb. 06, 2024. [Online]. Available: https://peer.asee.org/redesigning-the-calculus-curriculum-for-engineering- students[16
32.41 2018 Spring 104 16.35 21.15 33.65 2018 Fall 107 23.36 25.23 34.58 2019 Spring 96 13.54 26.04 38.54 2019 Fall 89 15.73 20.22 37.08 2020 Spring 65 24.62 26.15 33.85 2020 Fall 79 22.78 22.78 30.38 2021 Spring 69 18.84 17.39 28.99 2021 Fall 66 27.27 18.18 27.27 2022
STEM Summer Bridge Program,” ASEE Annual Conference and Exposition, Conference Proceedings, vol. 2020-June, 6 2020.[21] S. T. Tripathy, K. Chandra, H.-Y. Hsu, Y. Li, and D. Reichlen, “Engaging Women Engineering Undergraduates as Peer Facilitators in Participatory Action Research Focus Groups,” 7 2021.[22] D. Feil-Seifer, M. Parker, and A. Kirn, “Examining Faculty and Graduate Student Attitudes on Stress and Mental Health,” 8 2022. [Online]. Available: www.slayte.com[23] J. G. Liang, R. Evans, and S. E. Kulesza, “We are Thriving! Undergraduate Women in Engineering Student Project Teams,” ASEE Annual Conference and Exposition, Conference Proceedings, 6 2019.[24] K. Redmond, G. Panther, M. Asadollahipajouh, R. Evans, S. Kulesza
Traits of Engineering and Computing Students (Part II),” ASEE Annual Conference, 2019.[17] H. Koğar, “Development of a short form: methods, examinations, and recommendations,” EPOD, vol. 11, no. 3, pp. 302–310, Sep. 2020, doi: 10.21031/epod.739548.[18] R. F. DeVellis, Scale Development: Theory and Applications (Applied Social Research Methods), 3rd ed. SAGE Publications, Inc, 2011.[19] B. G. Tabachnick and L. S. Fidell, Using Multivariate Statistics, 6th ed. Pearson, 2012.[20] R. B. Kline, Principles and Practice of Structural Equation Modeling, Second Edition (Methodology in the Social Sciences), Second. New York: The Guilford Press, 2004, p. 366.[21] J. Wang and X. Wang, Structural equation
, and C. H. Wang, "Academic and demographic cluster analysis ofengineering student success," IEEE Transactions on Education, vol. 64, no. 3, pp. 261-266,March 2020.[6] E. Kim, N. M. Hicks, and M. L. Sanchez-Pena, "Assessing the Data Analysis Training ofEngineering Undergraduates," in 2019 ASEE Annual Conference & Exposition, June 2019.[7] D. Pistrui and N. E. Rayess, "Creating Data-Driven Undergraduate Student EngineeringTypologies to Shape the Future of Work," in 2021 ASEE Virtual Annual Conference ContentAccess, July 2021.[8] A. Godwin et al., "Using topological data analysis in social science research: Unpackingdecisions and opportunities for a new method," in 2019 ASEE Annual Conference & Exposition,June 2019.[9] A. Minichiello, J
, teamwork behaviors, and academic performance," 2019 ASEE Annual Conference & Exposition, Tampa, Florida. doi: 10.18260/1-2--32738[22] L. C. Hodges, "Student engagement in active learning classes," Active Learning in College Science, pp. 27-41, 2020, doi: 10.1007/978-3-030-33600-4_3[23] D. Zahay, A. Kumar, and C. Trimble, "Motivation and active learning to improve student performance," in Creating Marketing Magic and Innovative Future Marketing Trends: Proceedings of the 2016 Academy of Marketing Science (AMS) Annual Conference, 2017: Springer, pp. 1259-1263, doi: 10.1007/978-3-319-45596-9_231[24] Y. Kusumoto, "Enhancing critical thinking through active learning," Lang. Learn. High. Educ., vol. 8, no. 1
: 10.1002/jee.20546.[2] T. J. Yosso, “Whose culture has capital? A critical race theory discussion of community cultural wealth,” Race Ethn. Educ., vol. 8, no. 1, pp. 69–91, 2005, doi: 10.1080/1361332052000341006.[3] M. Josiam, A. Patrick, M. Andrews, and M. Borrego, “Makerspace Participation: Which Students Visit, Return, and Why?,” in 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida: ASEE Conferences, Jun. 2019, p. 33075. doi: 10.18260/1-2-- 33075.[4] J. M. Hughes and L. J. Morrison, “Innovative learning spaces in the making,” presented at the Frontiers in Education, Frontiers Media SA, 2020, p. 89.[5] L. Martin, “The promise of the maker movement for education,” J. Pre-Coll. Eng. Educ. Res. J
. 3, pp. 37-45, 2008.[9] Q. H. Mazumder and M. R. Karim, "Comparative Analysis of Learning Styles of Students of USA and Bangladesh," 119th ASEE Annual Conference, pp. 25-328, June 2012.[10] Y. Deng and I. H. Yeter, "Exploring engineering students' perspectives on hands-on, remote, and virtual laboratories use: An engagement level exploration.," in ASEE Annual Conference & Exposition, Portland, 2024.[11] F. Zurita Ortega, A. Martinez Martinez, R. Chacon Cuberos and J. L. Ubago Jiménez, "Analysis of the psychometric properties of the Motivation and Strategies of Learning Questionnaire—Short Form (MSLQ-SF) in Spanish higher education students.," Social Sciences, vol. 8, no. 5, p. 132, 2019.[12] Department of
. Netemeyer, W. O. Bearden, and S. Sharma, Scaling procedures: Issues and applications, Nachdr. Thousand Oaks, Calif: Sage Publ, 2001.[2] S. Mersand, “The state of makerspace research: A review of the literature,” TechTrends, vol. 65, no. 2, pp. 174–186, Mar. 2021, doi: 10.1007/s11528-020-00566-5.[3] S. Timotheou and A. Ioannou, “On making, tinkering, coding and play for learning: A review of current research,” in Human-Computer Interaction – INTERACT 2019, vol. 11747, D. Lamas, F. Loizides, L. Nacke, H. Petrie, M. Winckler, and P. Zaphiris, Eds., in Lecture Notes in Computer Science, vol. 11747. Cham: Springer International Publishing, 2019, pp. 217–232. doi: 10.1007/978-3-030-29384-0_14.[4] M. Tomko, M. Alemán, R. Nagel, W