, monitoring, evaluating, andmaking relevant changes to produce desirable solutions, may need to be strategically built intothe teaching curriculum and explicitly taught. Currently, qualitative analyses are in progress tounderstand how students’ metacognitive knowledge about task (MKT) inform their self-regulation of Cognition (SRC) and how students’ SRC dynamically evolve during problemsolving.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grant No.2110769. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] H. A. Simon, The Sciences of the Artificial
gestures and facial expressions when talking. Creates an environment in the class where you can easily ask Democratic Attitude questions Value Dimension It makes you feel that s/he gives importance to your opinions. Respect Dimension It makes you feel that s/he respects your opinions. B. Population and sampling The population of the study consisted of capstone design projects students from 5 departments in Engineering school, including Mechanical Engineering (ME), Electrical and Computer Engineering (ECE), Civil & Environmental Engineering (CEE), Engineering entrepreneurship (E-ship), and Chemical
platform was a significant factor in improving average overalland project grades even after considering the effects of the control variables (i.e., GPA, major,family background, field experience, effort level, and past BIM experience). It is expected thatOER is effective in helping students to learn building information modeling more effectively.KEYWORDS: Open Educational Resource; Innovative Teaching, Flipped Classroom, BuildingInformation Modeling (BIM); Architecture, Engineering, and Construction Pedagogy;Quantitative MethodsINTRODUCTIONThe Internet has enabled access to open information resources since early 1990’s. Online learningmediums such as e-books, podcasts, streamed videos, and virtual participatory environments suchas social
and R. L. Hite, “Enhancing student communication competencies in STEM using virtual global collaboration project based learning,” Research in Science & Technological Education, vol. 40, no. 1, pp. 76–102, Jul. 2020. doi:10.1080/02635143.2020.1778663[5] H. J. Yazici, L. A. Zidek, and H. St. Hill, “A study of critical thinking and cross-disciplinary teamwork in Engineering Education,” Women in Industrial and Systems Engineering, pp. 185–196, Sep. 2019. doi:10.1007/978-3-030-11866-2_8[6] S. Zajac, A. Woods, S. Tannenbaum, E. Salas, and C. L. Holladay, “Overcoming challenges to teamwork in Healthcare: A Team Effectiveness Framework and evidence-based guidance,” Frontiers in Communication, vol. 6, Mar. 2021
innovations both within our course and across our curriculum. Any futuredevelopments should generate solutions while looking through the lens of student experience,with a goal to better prepare students to be technically excellent, iterative, collaborative,empathetic, and confident engineers.References1. Santana S. Instrumentation for Evaluating Design-learning and Instruction Within Courses and Across Programs. In: 2021 ASEE Virtual Annual Conference Content Access. 2021.2. Sanchez A, Blake LP, Chen D, Jones M, Mao S, Mendelson L, et al. Building Better Engineers: Critical Reflection as a High Impact Practice in Design Learning. In: 2022 ASEE Annual Conference \& Exposition. 2022.3. McNair TB, Bensimon EM, Malcom-Piqueux
research interests include talent development in STEM fields.Mr. Joseph Anthony Donndelinger, Baylor University Mr. Donndelinger joined Baylor Universityˆa C™s School of Engineering and Computer Science as a Clinical Associate Professor after 23 years of experience in the automotive and cutting tool industries. During his 16 years as a Senior Researcher at General MoProf. Adam Weaver, Baylor University Mr. Adam Weaver joined the Baylor Department of Electrical and Computer Engineering with over 15 years of experience in industry and government service. He served in the Active Duty Air Force as an engineer for over eight years, specializing in test and evaluation of avionics, guidance/navigation, and space systems
Curricular Complexity Faced by Transfer Students: 2+2, Vertical Transfers, and Curricular Change,” in 2022 ASEE Annual Conference & Exposition, ASEE, 2022. doi: 10.18260/1-2--41462.[13] R. Molontay, N. Horvath, J. Bergmann, D. Szekrenyes, and M. Szabo, “Characterizing Curriculum Prerequisite Networks by a Student Flow Approach,” IEEE Transactions on Learning Technologies, vol. 13, no. 3, pp. 491–501, Jul. 2020, doi: 10.1109/TLT.2020.2981331.[14] G. L. Heileman, C. T. Abdallah, A. Slim, and M. Hickman, “Curricular Analytics: A Framework for Quantifying the Impact of Curricular Reforms and Pedagogical Innovations,” Nov. 2018, [Online]. Available: http://arxiv.org/abs/1811.09676[15] S. M. Padhye, D
in Residence for the Engineering and Innovation Living Learning Community (2014 - 2021). He was the inaugural Faculty Associate for Mobile Learning and the Faculty Associate for Accessibility and Universal Design for Learning. He was the recipient of the Foundation Excellence Award, David S. Taylor Service to Students Award and Golden Apple Award from Boise State University. He was also the recipient of 2023 National Outstanding Teacher Award, ASEE PNW Outstanding Teaching Award, ASEE Mechanical Engineering division’s Outstanding New Educator Award and several course design awards. He serves as the campus representative and was the past-Chair for the ASEE PNW Section. His academic research interests include
, Departments and Programs. Washington, DC: American Society for Engineering Education, 2016.2. B. N. Geisinger and D. R. Raman, “Why they leave: Understanding student attrition from engineering majors”, International Journal of Engineering Education, vol. 29, pp. 914-925, 2013.3. J. Roy, Engineering by the Numbers. Washington, DC: American Society for Engineering Education, 2019.4. X. Chen, C. E. Brawner, M. W. Ohland, and M. K. Orr, “A taxonomy of engineering matriculation practices”, in 120th ASEE Annual Conference and Exposition, 2013.5. D. C. Howell, Statistical Methods for Psychology, 5th edition. Pacific Grove, CA: Duxbury, 2002.6. S. W. Raudenbush and A. S. Bryk, Hierarchical Linear Models: Applications and Data Analysis. Thousand
Paper ID #36715Environments Affecting Black Student Thriving in Engineering (BSTiE)Stephanie A Damas, Clemson University Stephanie Ashley Damas is currently a graduate student at Clemson University studying to get her Ph.D. in Engineering and Science Education. Her area of interest is Diversity and Inclusion in Engineering. She holds a bachelorˆa C™s degree in electrical engiDr. Lisa Benson, Clemson University Lisa Benson is a Professor of Engineering and Science Education at Clemson University, and the past editor of the Journal of Engineering Education. Her research focuses on the interactions between student
statistical analyses toaddress complex and nuanced research questions important to the field. Our results are consistent with Borrego et al. (2009), highlighting the importance ofquantitative methods in engineering education research. Nevertheless, our results alsodocumented the prevalence of using all quantitative, qualitative, and mixed methods in JEE, asasserted in Borrego et al. (2009). Finally, our results echo Borrego et al. (2009)’s call for usingadvanced quantitative research methods beyond the boundary of disciplinaries, as many of theadvanced methods originated from other social sciences fields. While the excessive reliance onbasic descriptive statistics is still common, our results underscore joint efforts made byengineering
education for social justice (pp. 67-84). Springer.Daly, S. R., Mosyjowski, E. A., & Seifert, C. M. (2014). Teaching creativity in engineering courses. Journal of Engineering Education, 103(3), 417-449.Dringenberg, E., Kramer, A., & Betz, A. (2022). Smartness in Engineering Education: Undergraduate Student Beliefs. Journal of Engineering Education, 111(2), 283-307. https://doi.org/https://doi.org/10.1002/jee.20452Ellestad, R. M. (2013). Bazinga! You’re an engineer… you’re_! A Qualitative Study on the Media and Perceptions of Engineers. 2013 ASEE Annual Conference & Exposition,Gena Davis Institute on Gender in Media, s. C. F., J Walter Thomason Intelligence. (2018). The "Scully Effect": I Want to Believe...In
. S. Ozkan, “Positionality Statements in Engineering Education Research: A Look at the Hand that Guides the Methodological Tools,” Studies in Engineering Education, vol. 1, no. 2, p. 126, Mar. 2021, doi: 10.21061/see.13.[14] S. Secules et al., “Positionality practices and dimensions of impact on equity research: A collaborative inquiry and call to the community,” Journal of Engineering Education, vol. 110, no. 1, pp. 19–43, 2020, doi: 10.1002/jee.20377.[15] J. A. Mejia, R. A. Revelo, I. Villanueva, and J. Mejia, “Critical theoretical frameworks in engineering education: An anti-deficit and liberative approach,” Education Sciences, vol. 8, no. 4, 2018, doi: 10.3390/educsci8040158.[16] S. Secules and J. A. Mejia
data saturation has not yet been fully achieved in this WIP study [11]. Twocodes—reverse thinking and risk management—were identified by only one participant,indicating that additional data collection may offer further insights. As we expand this study inthe future, we intend to increase the sample size to allow for a more comprehensive exploration. References[1] C. J. Atman, K. Yasuhara, R. S. Adams, T. J. Barker, J. Turns, and E. Rhone, “Breadth in problem scoping: A comparison of freshman and senior engineering students,” International Journal of Engineering Education, vol. 24, no. 2, p. 234, 2008.[2] R. S. Adams and C. J. Atman, “Characterizing engineering student design processes: An
focus our analysison domestic applicants to four engineering programs (aerospace, chemical, electrical, andmechanical) at a large public research university in the U.S. between 2010 and 2022. We focuson domestic applicants because previous research has found substantial cross-nationaldifferences in norms for writing LORs and we wanted to minimize the influence of thosedifferences [5]. We selected four programs to sample from to provide variation in program size,selectivity, and diversity.1 This research was initially funded by the National Science Foundation under Grant No. 2225209, awarded in 2022.Funding was discontinued by the NSF in April 2025 because the project’s focus on broadening participation inSTEM “no longer effectuate[s] the
teaching methodologies. Anotherlimitation was the inaccessibility of some articles that appeared promising for full-text screeningafter passing the abstract screening phase, due to the lack of access to the publishing journals andwebsites.AcknowledgmentThis project was supported by the Provost’s Summer Undergraduate Research and CreativeActivities (UReCA) Fellowship. Its contents, including findings, conclusions, opinions, andrecommendations, are solely attributed to the author(s) and do not necessarily represent the viewsof the Provost’s OfficeReferences 1. Allen, I. E., & Seaman, J. (2016). Online report card: Tracking online education in the
capture photos/images in response to prompts,however, photovoice is a methodology designed to support participants in documenting,communicating, and reflecting on their experiences. Photo elicitation is not a full methodology,but a qualitative method used to yield rich data and circumvent some of the limitations oftraditional interviews.Concept mappingA concept map as a research technique aims to visualize how people connect and relate differentconcepts. Concept maps are hierarchical, and different concept nodes are connected with arrowsthat explicitly define the relationship(s) between the concepts. For example, a concept map aboutphoto synthesis may have ‘the sun’ and ‘plant life’ as two nodes, and the relational arrow fromsun to plant may be
related programming. ReferencesAlavi, M., Visentin, D.C., Thapa, D.K., Hunt, G.E., Watson, R. & Cleary, M. (2020). Chi-square for model fit in confirmatory factor analysis. JAN: Leading Global Nursing Research 76 (9), 2209-2211. https://doi.org/10.1111/jan.14399Bayback, M.A. & Green, S. (2010). Confirmatory factor analysis: An introduction for psychosomatic medicine researchers. Psychosomatic Medicine 72 (6), 587-597. https://doi.org/10.1097/PSY.0b013e3181de3f8aBen-Shachar M, Lüdecke D, Makowski D (2020). Effectsize: Estimation of Effect Size Indices and Standardized Parameters. Journal of Open Source Software, 5(56), 2815. https://doi.org/10.21105/joss
," 2010 IEEE Frontiers in Education Conference (FIE), 2010, pp. S3G-1-S3G-6, doi: 10.1109/FIE.2010.5673256. 2. Rahman, F., & Andrews, C., & Wendell, K. B., & Batrouny, N. A., & Dalvi, T. S. (2019, June), Elementary Students Navigating the Demands of Giving Engineering Design Peer Feedback (Fundamental) Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. 10.18260/1-2--32699 3. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33–40. https://doi.org/10.1037/0022-0663.82.1.33 4. Pintrich, P. R., Marx, R., & Boyle, R. (1993). Beyond
Paper ID #38789Stigma of mental health conditions within engineering culture and itsrelation to help-seeking attitudes: Insights from the first year of alongitudinal study ˜ University at Buffalo, The State University of New YorkMatilde Luz S´anchez-Pena, Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at University at Buffalo – SUNY where she leads the Diversity Assessment Research in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on the development of cultures of care and wellbeing in engineering education spaces
-visual applications.References[1] M. C. Linn and A. C. Petersen, “Emergence and Characterization of Sex Differences in Spatial Ability: A Meta-Analysis,” Child Dev., vol. 56, no. 6, pp. 1479–1498, 1985, doi: 10.2307/1130467.[2] D. F. Lohman, “Spatial Ability and G.” 1993.[3] J. Buckley, N. Seery, and D. Canty, “Investigating the use of spatial reasoning strategies in geometric problem solving,” Int. J. Technol. Des. Educ., vol. 29, no. 2, pp. 341–362, Mar. 2019, doi: 10.1007/s10798-018-9446-3.[4] N. S. Newcombe, “Picture This: Increasing Math and Science Learning by Improving Spatial Thinking,” Am. Educ., vol. 34, no. 2, p. 29, 2010.[5] H. B. Yilmaz, “On the Development and Measurement of Spatial Ability,” Int. Electron. J
Jared Markunas who assisted in the development of the survey that will inform the engagementguide prototype.References[1] D. R. Fisher, A. Bagiati, and S. Sarma, “Developing Professional Skills in Undergraduate Engineering Students Through Cocurricular Involvement,” J. Stud. Aff. Res. Pract., vol. 54, no. 3, pp. 286–302, Jul. 2017, doi: 10.1080/19496591.2017.1289097.[2] G. Young, D. B. Knight, and D. R. Simmons, “Co-curricular experiences link to nontechnical skill development for African-American engineers: Communication, teamwork, professionalism, lifelong learning, and reflective behavior skills,” in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, Madrid, Spain, Oct. 2014, pp. 1–7. doi: 10.1109/FIE
. Wiebe, “Intuition in insight and noninsight problem solving,” Memory & Cognition, vol. 15, no. 3, pp. 238–246, May 1987.[6] D. H. Jonassen, “Toward a design theory of problem solving,” Educational Technology Research and Development, vol. 48, no. 4, pp. 63–85, 2000.[7] S. E. Dreyfus, “Five-stage model of adult skill acquisition,” Bulletin of Science, Technology & Society, vol. 24, no. 3, pp. 177–181, 2004.[8] M. T. H. Chi, R. Glaser, and M. J. Farr, The nature of expertise, 1st ed. 1988.[9] E. E. Miskioglu et al., "Situating Intuition in Engineering Practice," Journal of Engineering Education, vol. 112, no. 2, pp. 418-444, 2023, doi: 10.1002/jee.20521.[10] K. A. Ericsson, N. Charness, P. J
work supported by the National Science Foundation under GrantNo. 2225201. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. We would like to acknowledge the other members of the VOCES team whocontributed to the design and implementation of the VOCES project: Yesim Darici (PI), RocioBenabentos, Laird Kramer, Janki Bhimani, Leanne Wells, Stephen Secules, JaroslavaMiksovska, and Umut Caglar. We also acknowledge and appreciation the contributions of theundergraduates who participated in the VOCES project and the storytelling workshops.References[1] R. Adams, C. Allendoerfer, T. Smith, D. Socha, D. Williams, and
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
than we expected with a variety of diverse experiences.”Author 2’s conversations with her participants were essential to creating an effectiveco-designing environment. Through feedback from research advisors, she learned the use ofstorytelling as a method for engaging the teacher co-designers in providing feedback regardingthe workshop and the designed lessons. Conversations can look different; they do not have to betraditional interviews or focus groups. Storytelling provided more information than Author 2expected, making it a method she is more likely to use in future workshops. 3. Building and Engaging with CommunitiesCo-design requires engagement with research participants and their local communities to addresscommunity needs
current thesis is on the instrumentation of an autonomous vehicle.Prof. Sean Walker, University of South Alabama Dr. Walker is an Associate Professor at the University of South Alabama in Mobile, AL and Program Coordinator of the Systems Engineering Program. They received their Ph.D. in Systems Design Engineering from the University of Waterloo, in Waterloo, Canada, in 2012. Dr. Walker has taught at the University of South Alabama since 2016 and has won multiple teaching awards from Mortar Board and Tau Beta Pi. Sean’s research interests include Engineering Education, and Sustainable Systems.Rachel Chai, University of South Alabama Rachel S. Chai was born in Ocean Springs, MS in 1996. She received his B.S. and M.S. in
Time (s)Figure 3: Cursor position (black lines) and code length (gray lines) measured in characters from the beginning ofthe source code (y-axes), vs. time in seconds (x-axes), one subplot per attempt. Solid and dashed panel bordersindicate eventual success vs. failure, respectively. Rows correspond to participants (labeled on right) and columns to arepresentative subset of problems (labeled on top; see code repository for full descriptions of each problem).DiscussionWe have presented a new web-based code editor that keylogs users. As a free and open-sourceweb-based application, it is operating-system agnostic, requires no installation by participants,can be administered remotely, and is readily available to education researchers. This makes
do not necessarily reflect the views of theNational Science Foundation.References[1] M. M. Espino, “Exploring the role of community cultural wealth in graduate school access and persistence for mexican american phds,” American Journal of Education, vol. 120, no. 4, pp. 545–574, Aug. 2014, doi: 10.1086/676911.[2] M. M. Camacho and S. M. Lord, “Quebrando fronteras: Trends among Latino and Latina undergraduate engineers.,” Journal of Hispanic Higher Education, vol. 10, no. 2, pp. 134–146, 2011.[3] J. Mejia, R. Revelo, I. Villanueva, and J. Mejia, “Critical Theoretical Frameworks in Engineering Education: An Anti-Deficit and Liberative Approach,” Education Sciences, vol. 8, no. 4, p. 158, Sep. 2018, doi
science, electrical, and civil engineering classes.References[1] F.H. Chiew, C. Petrus, S.Z. Othman, J.D. Nyuin, and U.H. Lau. “Effectiveness of peer tutoring program on students’ academic performance for engineering course.” International Journal of Service Management and Sustainability, vol. 6, no. 1, pp. 71-88, 2021.[2] S. Ramaswaney, I. Harris, and U. Tschirner. “Student peer teaching: an innovative approach to instruction in science and engineering education.” Journal of Science Education and Technology, vol. 10, no. 2, pp.165-171, 2001.[3] T. Pugatch and N. Wilson. “Nudging study habits: a field experiment on peer tutoring in higher education.” Economics of Education Review, vol. 62, pp. 151-161, 2018.[4