earned her Master of Education degree from Notre Dame in 2019 while teaching middle school science. She has collaborated with faculty in the Center for STEM on engineering research for several years, most recently leading an undergraduate research lab on early childhood engineering research. In the Center, she also supports other research projects and undergraduate labs on topics of high school science pedagogy and student engagement in science.Annie DouglassJulie Allen ©American Society for Engineering Education, 2023 Family Voices: Learning from Families with Preschool-Age Children from Historically Marginalized Communities to Expand our Vision of Engineering (Work in Progress) Over the
performance in STEM fields [10]–[13]. Wai et al. discussed the consistency ofheightened spatial skills in those who excelled in STEM domains but recognized that spatialability is often overshadowed by mathematical or verbal skills when predicting success in STEMfields [3]. A 2019 study by Veurink & Sorby found that students identified as “low visualizers”who took a course specifically designed to improve spatial skills ultimately performed at thesame or higher levels on a spatial ability assessment when compared to students who hadinitially higher spatial skills but did not take the course. Also, students who took the spatialability course were more successful in their first attempt at introductory engineering courses thanthose who did not take
Complexity Typology as Tools for Faculty Development,” American Society for Engineering Education (ASEE) Annual Conference, Minneapolis, MN, June 2022.[11] G. Panther and H.A. Diefes-Dux, “Instructor Adaptability and the Course Complexity Typology as Tools for Faculty Development,” Australasian Engineering Education (AAEE) Annual Conference, Sydney, Australia, December 2022.[12] L.R. Lattuca, P. T. Terenzini, and J. F. Volkwein, “Engineering change: A study of the impact of EC2000.” ABET, 2006, https://www.abet.org/wp- content/uploads/2015/04/EngineeringChange-executive-summary.pdf[13] B. Pejcinovic, “Design of Rubrics for Student Outcomes in 2019-2020 ABET Criteria,” presented at the 43rd Int. Conv
, O. Adio, and W. N. Waggenspack Jr., “Large-scale student programs increase persistence in STEM fields in a public university setting,” J. Eng. Educ., vol. 108, no. 1, pp. 57-81, Jan. 2019, doi: 10.1002/jee.20244.[13] M. C. Mitchell, and P. Bandini, “Development of a one-on-one mentoring model for undergraduate students at a Minority Serving Institution,” presented at the 2020 ASEE Gulf-Southwest Annual Conference, Albuquerque, NM, USA, July 2020. Available: https://peer.asee.org/35997.[14] K. D. Kendricks, K. V. Nedunuri, and A. R. Arment, “Minority student perceptions of the impact of mentoring to enhance academic performance in STEM disciplines,” J. STEM educ., vol. 14, no. 2, pp. 38- 46, Apr. 2013
education 3 Education for chemical engineers 3 ASEE 3 Journal of Engineering education 4 IEEE Frontiers in Education 8Study Characteristics: The distribution of studies reveals a predominant emphasis on the UnitedStates, comprising 16 studies, which corresponds to 66.67% of the total. Figure 3 shows theGeographic distribution of the included studies. This distribution aligns with existing researchthat highlights the predominant influence of the
American Society for Engineering Education (ASEE) has also proposed a set of coreprinciples stipulating that engineering learning may be considered three dimensional with a focuson engineering habits of mind (e.g., creativity, iteration, collaboration), engineering practices(design, optimization, constraint assessment), and engineering knowledge (principles, problemsolving, and technological outputs) [5]. This approach diverges from the way STEM hastypically been taught in U.S. middle schools, where science and engineering principles are rarelyanchored in relevant phenomena [6]. Since teachers often assume the main responsibility forimplementing engineering tasks in their classrooms to comply with the widespread focus onSTEM integration, they may
in engineeringentrepreneurship education,” Entrepreneurship Education and Pedagogy, 3(1), 4-13, 2020.Available: https://doi.org/10.1177/2515127419890828[2] P. Weilerstein and A. Shartrand, A, “A decade of technological innovation: A retrospectiveview of the first decade of the NCIIA,” ASEE Annual Conference and Exposition, ConferenceProceedings, Pittsburgh, PA, 2008. Available: http://www.scopus.com/inward/record.url?eid=2-s2.0-56749132141&partnerID=tZOtx3y1[3] J. Blessing, K. Mekemson, and D. Pistrui, “Building an entrepreneurial engineeringecosystem for future generations: The Kern Entrepreneurship Education Network,” ASEEAnnual Conference & Exposition, Pittsburgh, PA, 2008. Available: https://peer.asee.org/3488.[4] S. Sheppard, S
," 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
technique that is not often applied in a person-centered manner (Godwin et al.,2021). PCA is one of the most frequently used dimension reduction methods, which aims toidentify a subset of variables to represent a dataset in a lower dimension without losingsignificant information (Kherif & Latypova, 2020). In this example, Martin & Sorhaindo (2019)compared intrinsic and extrinsic motivational factors as predictors of academic achievement forcivil engineering students. They employed PCA to consolidate motivational factors into intrinsicand extrinsic groups. The original twenty-two motivation variables were ultimately grouped intofive principal components, which accounted for 66% percent of the variance. Thisimplementation of PCA to aggregate
to 27high-enrolment courses. In a previous work-in-progress ASEE paper we described the PAC andan evaluation of the WTA carried out for a single course (Piña et al. 2021). In this paper, we givean overview of the TW, the PAC, and the PM; furthermore we provide statistics and a generaldescription of the interactions between WTAs and students.We identify three advantages of our approach. First, the proactiveness of the WTAs is veryappreciated by students even in cases where no actions are triggered as a result ofcommunication. Second, WTAs document cases, which helps professors of the same course tomake consistent flexibilizations through time. Third, since WTAs are coordinated at a schoollevel, lessons learned in specific courses are shared
: Perceptions of teachers and students,” Diagnostique, vol. 9, no. 4, pp. 218–225, 1984.[13] C. Wallwey, Geary, Carol, and Soledad, Michelle, “What do grades mean? A Scoping Literature Review on Students’ Perceptions of Grades and Grading Practices,” in ASEE Annual Conference & Exposition 2024, Portland, OR: ASEE, Under Review.[14] C. S. Hulleman, K. E. Barron, J. J. Kosovich, and R. A. Lazowski, “Student motivation: Current theories, constructs, and interventions within an expectancy-value framework,” Psychosoc. Ski. Sch. Syst. 21st Century Theory Res. Pract., pp. 241–278, 2016.[15] N. Arduini-Van Hoose, “Expectency-Value Theory,” in Educational Psychology, Online: Pressbooks, 2020. Accessed: Jan. 27, 2024
we have will drive us and each other outside our comfort zones, and then our actions will do the same thing. I think that’s the power that we have to make change.”- Author Corey Bowen from Graduate Student and Postdoctoral Fellows’ Perspectives on Advancing Women and Gender Equity in Engineering panel during the 2022 ASEE Annual ConferenceThe value of panel discussions is derived from an understanding that there is value in capturingand presenting a wide range of viewpoints that could benefit a diverse audience. Paneldiscussions at conferences, in particular, are used to exchange viewpoints among expertsworking as a team, whether or not panelists agree on all issues, to create an interesting discussionfor the audience [1
), Muscat, Oman, March 15-16, 2016, pp. 1–5, doi: 10.1109/ICBDSC.2016.7460390.[19] A. Satyanarayana, K. Goodlad, J. Sears, P. Kreniske, M. Diaz, and S. Cheng, “Using Natural Language Processing Tools on Individual Stories from First-year Students to Summarize Emotions, Sentiments, and Concerns of Transition from High School to College,” in 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida, June15-October 19, 2019, doi: 10.18260/1-2--31917.[20] A. Katz, M. Norris, A. M. Alsharif, M. D. Klopfer, D. B. Knight, and J. R. Grohs, “Using Natural Language Processing to Facilitate Student Feedback Analysis,” in 2021 ASEE Virtual Annual Conference Content Access, July 26-29, 2021. [online
. Malmi et al., “How authors did it – a methodological analysis of recent engineering education research papers in the European Journal of Engineering Education,” Eur. J. Eng. Educ., vol. 43, no. 2, pp. 171–189, Mar. 2018, doi: 10.1080/03043797.2016.1202905.[8] A. Goncher, A. Hingle, A. Johri, and J. Case, “The Role and Use of Theory in Engineering Education Research,” in International Handbook of Engineering Education Research, A. Johri, Ed., Taylor & Francis, 2023, pp. 137–155. doi: 10.4324/9781003287483.[9] Q. Liu, “A SNAPSHOT METHODOLOGICAL REVIEW OF JOURNAL ARTICLES IN ENGINEERING EDUCATION RESEARCH,” Proc. Can. Eng. Educ. Assoc. CEEA, Nov. 2019, doi: 10.24908/pceea.vi0.13795.[10] Y. Chetioui, H. Benlafqih, and H
: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study.”[8] Bonilla, J. M., Valarezo, M. S., Villacrés, B. D., and Guerra, M. A., 2023, “Board 44A: Work in Progress: Unannounced Frequent Examinations to Contribute Student Learning and Building Academic Integrity,” 2023 ASEE Annual Conference & Exposition.[9] Paucarina, S. E., Batallas, J. D., Guerra, M. A., and Guerra, V., 2023, “Board 44B: Work in Progress: TikTok Format Videos to Improve Communicating Science in Engineering Students,” 2023 ASEE Annual Conference & Exposition.[10] Knight, M., and Cooper, R., 2019, “Taking on a New Grading System: The Interconnected Effects of Standards-Based Grading on Teaching
by methodological integrity check-ins[63] with the second author. This process provided a second interpretation of excerpts of thenarrative expressions and also motivated the inclusion of program-level documents as sources ofnarrative expression. The second and third authors audited the work by providing feedback on thedocumentation; this encouraged further interrogation of the journey maps, values statements, andfindings elicited from the data. ASEE Educational Research and Methods Division reviewers alsoaudited the draft paper and prompted a better distinction between major and minor values, amongother reconsiderations. The results follow.4.0 ResultsThe narrative approach to interviewing allowed participants to share and elaborate on
Report [Data file],2019.[21] J. Mackiewicz, “The effects of tutor expertise in engineering writing: A linguistic analysisof writing tutors’ comments,” IEEE Transactions on Professional Communication, vol. 47, no. 4,pp. 316-328, 2004.https://ieeexplore.ieee.org/abstract/document/1364079 (Accessed Feb. 23, 2023)[22] S. Dinitz and S. Harrington, “The role of disciplinary expertise in shaping writing tutorials,”The Writing Center Journal, vol. 33, no. 2, pp. 73-98, 2014.https://doi.org/10.7771/2832-9414.1769 (Accessed Feb. 23, 2023)[23] A. J. Hanson, P. Lindahl, S. D. Strasser, A. Takemura, D. R. Englund, and J. Goldstein,“Technical communication instruction for graduate students: The communication lab vs. acourse,” 2017 ASEE Annual Conference and
Structure of Engineering Education,” In: Christensen, S., Didier, C., Jamison, A., Meganck, M., Mitcham, C., Newberry, B. (eds) International Perspectives on Engineering Education. Philosophy of Engineering and Technology, vol 20, Springer, Cham, 2015.[25] E.A. Cech, & H.M Sherick, “Depoliticization as a mechanism of gender inequality among engineering faculty,” In the Proceedings of the 2019 ASEE Annual Conference & Exposition, 2019.[26] E.O. McGee, Black, brown, bruised: How racialized STEM education stifles innovation, Harvard Education Press, 2021.[27] M. Hernández-de-Menéndez, A. Vallejo Guevara, J.C. Tudón Martínez, D. Hernández Alcántara, & R. Morales-Menendez, “Active learning in engineering education
M. D. Koretsky, “Toward professional practice: student learning opportunities through participation in engineering clubs,” European Journal of Engineering Education, vol. 44, no. 6, pp. 906–922, Nov. 2019, doi: 10.1080/03043797.2018.1477119.[19] E. Michor and M. Koretsky, “Students’ Approaches to Studying through a Situative Lens,” Studies in Engineering Education, vol. 1, no. 1, p. 38, Nov. 2020, doi: 10.21061/see.3.[20] S. B. Nolen and M. D. Koretsky, “WIP: An Ecosystems Metaphor for Propagation,” in ASEE Annual Conference Proceedings, Montreal, 2020.[21] L. S. Vygotsky, Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press, 1978.[22] A. N. Leontiev, Problems of
emerging social networks explains academic failure and success,” Proceedings of the National Academy of Sciences, vol. 116, no. 3, p. 792, 2019, doi: 10.1073/pnas.1811388115.[19] Lin, “Evolution of civil engineering students’ friendship and learning networks,” Journal of Professional Issues in Engineering Education and Practice, vol. 144, no. 4, 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000390.[20] J. Elliott, A. Minichiello, and J. Ellsworth, “Examining relationships between student interactions with peers and resources and performance in a large engineering course using social network analysis,” ASEE Annual Conference and Exposition. Virtual, 2020.[21] C. Bidart and J. Charbonneau, “How to generate personal
Paper ID #42944Unmasking Cognitive Engagement: A Systematized Literature Review of theRelationships Between Students’ Facial Expressions and Learning OutcomesMr. Talha Naqash, Utah State University, Logan Mr.Talha Naqash is currently pursuing his doctoral studies in Engineering Education at Utah State University. With a profound educational background spanning multiple disciplines, he holds an MS in Telecommunication and networking. His extensive research contributions are reflected in numerous publications and presentations at prestigious IEEE; ASEE conferences, Wiley’s & Springer Journals. His research primarily
, “Criteria for Accrediting Engineering Programs.” ABET, pp. 5–6, 2019.[3] J. E. Froyd, P. C. Wankat, and K. A. Smith, “Five major shifts in 100 years of engineering education,” Proc. IEEE, vol. 100, no. SPL CONTENT, pp. 1344–1360, 2012.[4] J. W. Dally and G. M. Zhang, “A Freshman Engineering Design Course,” J. Eng. Educ., vol. 82, no. 2, pp. 83–91, Apr. 1993.[5] R. H. Todd, C. D. Sorensen, and S. P. Magleby, “Designing a Senior Capstone Course to Satisfy Industrial Customers,” J. Eng. Educ., vol. 82, no. 2, pp. 92–100, 1993.[6] S. Howe and J. Wilbarger, “2005 National Survey of Engineering Capstone Design Courses,” ASEE Annu. Conf. Expo. Conf. Proc., 2006.[7] S. Howe, S. L. Poulos, and L. M. Rosenbauer, “The 2015
the tyranny of office hours: Overcoming professor avoidance,” European J. of Engineering Edu., vol. 44, no. 5, pp. 666-687, 2019.[3] M. S. Ross, J. L. Huff, and A. Godwin, “Resilient engineering identity development critical to prolonged engagement of Black women in engineering,” J. of Engineering Edu., vol. 110, no. 1, pp. 92-113, 2021.[4] N. L. Chance, “A phenomenological inquiry into the influence of crucible experiences on the leadership development of Black women in higher education senior leadership,” Educational Management Administration & Leadership vol. 49, no. 4, pp. 601-623, 2021.[5] J. A. Henderson, L. S. S. Benjamin, and J. L. Davis, “An interpretive phenomenological analysis of the
the American Society for Engineering Education Annual Conference and Exposition, ASEE 2015, 2015, Seattle, WA.[8] S. Denning “Effective storytelling: strategic business narrative techniques.” Strategy & Leadership, Vol 34, No. 1, pp. 42–48, 2006.[9] Y. Engeström, “From design experiments to formative interventions,” Theory & Psychology, Vol. 21, No. 5, pp. 598–628, 2011.[10] C. Tzou, Meixi, E. Suárez, P. Bell, D. LaBonte, E. Starks, and M. Bang, “Storywork in STEM-Art: Making, Materiality and Robotics within Everyday Acts of Indigenous Presence and Resurgence.” Cognition and Instruction, Vol. 37, No. 3, pp. 306-326, 2019.[11] Serrat, O. (2017). Storytelling. Knowledge Solutions, 839–842
Computing Diversity (CoNECD) Conference, Crystal City, VA, April 29, 2018.[21] C. McGough and L. Benson, “Distribution of Characteristic Ways That Students Think about the Future in Large Enrollment Engineering Classes,” Proceedings of the 124th ASEE Annual Conference & Exposition, Columbus, OH, June 24-28, 2017, doi: 10.18260/1-2--28187.[22] L. Benson., C.J. Bolding, J. Ogle, C. McGough, J. Murphy, and R. Lanning, “Engineering Students’ Perceptions of Belongingness in Civil Engineering,” Proceedings of the 126th ASEE Annual Conference & Exposition, Tampa, FL, June 16-19, 2019.[23] R. Yin, Case Study Research Design and Methods (5th ed.). Thousand Oaks, CA: Sage, 2014, doi:10.3138/cjpe
motivation and their learning experiences. Her projects include studies of student perceptions, beliefs and attitudes towards becoming engineers and scientists, and their development of problem-solving skills, self- regulated learning practices, and epistemic beliefs. Other projects in the Benson group involve students’ navigational capital, and researchers’ schema development through the peer review process. Dr. Benson is an American Society for Engineering Education (ASEE) Fellow, and a member of the European Society for Engineering Education (SEFI), American Educational Research Association (AERA) and Tau Beta Pi. She earned a B.S. in Bioengineering (1978) from the University of Vermont, and M.S. (1986) and Ph.D. (2002
necessarily reflectthe views of the National Science Foundation.References [1] G. Herman, K. Varghese, and C. Zilles, “Second-chance testing course policies and student behavior,” in 2019 IEEE Frontiers in Education Conference (FIE). IEEE, 2019, pp. 1–7. [2] C.-L. C. Kulik and J. A. Kulik, “Mastery testing and student learning: A meta-analysis,” Journal of Educational Technology Systems, vol. 15, no. 3, pp. 325–345, 1987. [3] C. D. Schmitz, G. L. Herman, and T. Bretl, “The effects of second-chance testing on learning outcomes in a first-year stem course in engineering,” in 2020 ASEE Virtual Annual Conference Content Access, 2020. [4] G. L. Herman, Z. Cai, T. Bretl, C. Zilles, and M. West, “Comparison of grade replacement and weighted
-Level Aerospace Mechanics of Materials Courses,” in 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida: ASEE Conferences, Jun. 2019, p. 33146. doi: 10.18260/1-2--33146.[8] S. D’Mello and A. Graesser, “Dynamics of affective states during complex learning,” Learn. Instr., vol. 22, no. 2, pp. 145–157, Apr. 2012, doi: 10.1016/j.learninstruc.2011.10.001.[9] K. R. Muis, M. Chevrier, and C. A. Singh, “The Role of Epistemic Emotions in Personal Epistemology and Self-Regulated Learning,” Educ. Psychol., vol. 53, no. 3, pp. 165–184, Jul. 2018, doi: 10.1080/00461520.2017.1421465.[10] I. M. Gómez-Chacón, “Meta-emotion and Mathematical Modeling Processes in Computerized Environments,” in From beliefs to dynamic
and graduate-level courses in the electrical, computer, and biomedical engineering departments. She also taught online electronics and information engineering courses at Wuhan University of Science and Technology, China, between 2019 and 2023. She is a recipient of federal funds from the National Science Foundation to improve engineering and STEM education for underrepresented and underserved students. She is an Associate Editor of Computational Intelligence, an International Journal-Wiley, and The Ohio Journal of Science and has served on many national/international conferences’ technical committees. She is a member of IEEE, IEEE Women in Engineering, and ASEE.Dr. Deana A. DiLuggo, University of Bridgeport