Conference Session

Problem- and Project-Based Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Alaa Jaber; Kimberly Lechasseur, Worcester Polytechnic Institute; Khairul Mottakin; Zheng Song, UMDearborn

Tagged Divisions

Educational Research and Methods Division (ERM)

:2111.04428, 2021.[15] Enric Mart´ı, Debora Gil, and Carme Juli`a. A pbl experience in the teaching of computer graphics. In Computer Graphics Forum, volume 25, pages 95–103. Wiley Online Library, 2006.[16] David Geronimo, Joan Serrat, Antonio M Lopez, and Ramon Baldrich. Traffic sign recognition for computer vision project-based learning. IEEE transactions on education, 56(3):364–371, 2013.[17] Alejandra Mart´ınez-Mon´es, Eduardo G´omez-S´anchez, Yannis A Dimitriadis, Iv´an M Jorr´ın-Abell´an, Bartolom´e Rubia-Avi, and Guillermo Vega-Gorgojo. Multiple case studies to enhance project-based learning in a computer architecture course. IEEE Transactions on Education, 48(3):482–489, 2005.[18] Wahyudi Wahyudi. The effectiveness of sharing

Conference Session

Educational Research and Methods Division (ERM) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kyeonghun Jwa, Pennsylvania State University; Catherine G. P. Berdanier, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

deviations indicate that international students’ experiences in their graduate programs arediverse. These variations imply that while certain aspects of their experiences meet withsatisfaction, others present challenges that may require targeted attention for support systems forinternational students.Significant results include a very strong positive correlation between Q1 degree completeconfidence and several items (Q3 Advisor relationships, Q4 Support Network, Q5 Belongingness,Q10 Goals, and Q11 Cost) with r > 0.7 and p <0.01. Additionally, Q3 Advisor relationships andQ4 Support Network are highly correlated (r = .886, p Could you describe the event(s)? (Text box) Intention to dropout Q9 In the past month, how often did

Conference Session

Educational Research and Methods Division (ERM) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ziliang Zhou, California Baptist University; Xiuhua Si, California Baptist University

Tagged Divisions

Educational Research and Methods Division (ERM)

Education Institutions," in Active Learning -- Beyond the Future, Intech Open, 2019.[3] S. Hartikainen, H. Rintala, L. Pylvas and P. Nokelainen, "Susanna Hartikainen, Heta Rintala, LauraThe Concept of Active Learning and the Measurement of Learning Outcomes: A Review of Research in Engineering Education," Education Sciences, vol. 9, no. 4, 2019.[4] H. Leary, A. Walker, M. Lefler and Y.-c. Kuo, Self-directed Learning in Problem-based Learning, Wiley, 2019.[5] D. B. Markant, A. Ruggeri, T. M. Gureckis and F. Xu, "Enhanced Memory as a Common Effect of Active Learning," Mind, Brain, and Education, vol. 10, no. 3, 2016.[6] M. J. Myers and A. B. Burgess, "Marcella JInquiry-based Laboratory Course Improves Students Ability to Design

Conference Session

Educational Research and Methods Division (ERM) Technical Session 9

Collection

2024 ASEE Annual Conference & Exposition

Authors

Catalina Cortazar, Pontificia Universidad Católica de Chile; Gabriel Astudillo, Pontificia Universidad Católica de Chile

Tagged Divisions

Educational Research and Methods Division (ERM)

Engineering Cornerstone Robotics Design Project. In2019 IEEE Frontiers in Education Conference (FIE) (pp. 1-5). IEEE.https://doi.org/10.1109/FIE43999.2019.9028610[5] Wengrowicz, N., Dori, Y. J., & Dori, D. (2017). Meta-assessment in a project-based systemsengineering course. Assessment & Evaluation in Higher Education, 42(4), 607-624.https://doi.org/10.1080/02602938.2016.1173648[6] Hernández-de-Menéndez, M., Vallejo Guevara, A., Tudón Martínez, J.C. et al. (2019)Activelearning in engineering education. A review of fundamentals, best practices, and experiences. IntJ Interact Des Manuf 13, 909–922. https://doi.org/10.1007/s12008-019-00557-8[7] Reis, A. C. B., Barbalho, S. C. M., & Zanette, A. C. D. (2017). A bibliometric andclassification

Conference Session

Educational Research and Methods Division (ERM) Technical Session 30

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jenefer Husman, University of Oregon; Matthew Charles Graham; Kathryn Anne Jacobson, University of Oregon; Cynthia J. Finelli, University of Michigan; Maura Borrego, University of Texas at Austin; Michael J. Prince, Bucknell University; Lea K. Marlor, University of Michigan; Madison E. Andrews, University of Texas at Austin

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Teaching Institute. His research examines a range of engineering education topics, including how to assess and repair student miscoMs. Lea K. Marlor, University of Michigan Lea Marlor is a Ph.D. student at the University of Michigan, studying Engineering Education Research. She joined the University of Michigan in Sept 2019. Previously, she was the Associate Director for Education for the Center for Energy Efficient ElecMadison E. Andrews, University of Texas at Austin Madison Andrews is a STEM Education doctoral student, Mechanical Engineering masterˆa C™s student, and graduate research assistant for the Center for Engineering Education at the University of Texas at Austin. She received her B.S. in Mechanical

Conference Session

Educational Research and Methods Division (ERM) Technical Session 16

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jasmine Smith, University of Florida; David J. Therriault, University of Florida; Jeremy A. Magruder Waisome, University of Florida

Tagged Divisions

Educational Research and Methods Division (ERM)

Self-Reflection and Insight (SR-IS) scale developed by Grant et al. (2002) was used as the primarysurvey for this study. The scale includes 20 items on a 6-point Likert scale (Cronbach’s alphalevels range from .7 to .8, [7]. Questionnaire items assessed insight (8 items), need for self-reflection (6 items) and engagement in self-reflection (6 items). Need for self-reflection andengagement in self-reflection are loaded on the same factor which is referred to Self-Reflection(SRIS-SR) [7]. This questionnaire used a six-point scale (1 = strongly disagree, 6 = stronglyagree). Items marked with an (R) were reverse scored prior to the scoring of all questionnaireitems according to Grant et al.’s scoring instructions. This scale measures two factors

Conference Session

Advancing Diversity, Equity, and Inclusion

Collection

2023 ASEE Annual Conference & Exposition

Authors

Raian Islam, The University of Arizona; Gregory L. Heileman, The University of Arizona; Kian G. Alavy, University of Arizona; David Ruiter, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

´ di, Z. Kocsis, K. E. Kov´ cs, K. Kov´ cs, A. M¨ ller, K. Pallay, B. Eva Szab´ , F. Szigeti, and D. A. e o T´ th. The discovery of the possible reasons for delayed graduation and dropout in the light of a qualitative research o study. Journal of Adult Learning, Knowledge and Innovation, 3(1):27 – 38, 2019. 2 E. Grieco and S. Deitz. Special report NSF 23-315: Diversity and STEM: Women, minorities, and persons with disabilities 2023. Technical report, National Science Foundation, National Center for Science and Engineering Statistics (NCSES), Alexandria, VA, 2023. 3 G. L. Heileman, C. T. Abdallah, A. Slim, and M

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hank Boone, University of Nevada, Las Vegas; Danxu Wang, University of Nevada, Las Vegas; Emma Regentova, University of Nevada, Las Vegas; Venkatesan Muthukumar, University of Nevada, Las Vegas; SJ Kim, University of Nevada, Las Vegas; Jonathan Hilpert, University of Nevada, Las Vegas

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, andphysiological. Two underlying factors were used to measure emotions: enjoyment (4 items; α=.86; ω= .87) and hopelessness (4 items; α=.80 ; ω=.84). All reported alpha and omega values areaveraged values from each time the items were used during year 1. The items were adapted fromthe AEQ-S scale [23]. All emotion questions were listed in one block with the following prompt“Please consider how you felt today in the camp”. Enjoyment was defined as having feelings ofjoy while learning content during the summer camp. An example of enjoyment is “I enjoyed thechallenge of camp activities”. Hopelessness was defined as the opposite emotional counterpart ofenjoyment: feeling discouraged while learning new content. An example of hopelessness is “I felthelpless

Conference Session

Educational Research and Methods Division (ERM) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alanis Chew, Youngstown State University; Cory Brozina, Youngstown State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

thechallenges they face and offering better quality of support. We hope to share the personas withinstitutional stakeholders to build empathy and perspective for nontraditional students inengineering.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grantnumber 2044347 within the IUSE program. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation. References[1] National Center for Education Statistics, “Demographic and Enrollment Characteristics of Nontraditional Undergraduates: 2011-12.” [Online]. Available: https

Conference Session

Educational Research and Methods Division (ERM) Technical Session 19

Collection

2024 ASEE Annual Conference & Exposition

Authors

Shawna Dory, Pennsylvania State University; Sarah E. Zappe, Pennsylvania State University

Tagged Divisions

Educational Research and Methods Division (ERM)

Information Technologies,Jan. 2022, doi: https://doi.org/10.1007/s10639-021-10849-w.[6] S. Ghanbari, “Learning across Disciplines: A Collective Case Study of Two UniversityPrograms That Integrate the Arts with STEM.,” International Journal of Education and the Arts,vol. 16, no. 7, Jun. 2015.[7] C. Rodier, M. Galaleldin, J. Boudreau, H. Anis, and L. Peyton, “STEAM – Arts IntegrationFrameworks for Transdisciplinarity,” Proceedings of the Canadian Engineering EducationAssociation (CEEA), Jun. 2021, doi: https://doi.org/10.24908/pceea.vi0.14918.[8] K. Visscher, “Theatrical technology assessment: A role-play simulation fortransdisciplinary engineering education,” in In 48th SEFI Annual Conference on EngineeringEducation, SEFI, Societe

Conference Session

Advancing Diversity, Equity, and Inclusion

Collection

2023 ASEE Annual Conference & Exposition

Authors

Justin L. Hess, Purdue University at West Lafayette (COE); Andrew Katz, Virginia Polytechnic Institute and State University; Isil Anakok, Virginia Polytechnic Institute and State University; Brent K. Jesiek, Cornell University; Andrew Whitehead; Sowmya Panuganti, Purdue Engineering Education

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Journal of Science, Mathematics and Technology Education, vol. 20, pp. 146-165, 2020.[9] M. S. Tooley and E. E. Umphress, "Work in progress - the ethics of diversity: Addressing diversity issues in undergraduate engineering ethics education," presented at the Frontiers in Education Annual Conference, 2009.[10] A. R. Bielefeldt, M. Polmear, C. Swan, D. Knight, and N. E. Canney, "Variations in reflections as a method for teaching and assessment of engineering ethics," presented at the ASEE Annual Conference & Exposition, Virtual, 2020.[11] A. R. Bielefeldt, M. Polmear, D. Knight, C. Swan, and N. Canney, "Intersections between engineering ethics and diversity issues in engineering education," Journal of

Conference Session

Student Teams and Teamwork

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yiyi Wang, San Francisco State University; Xiaorong Zhang, San Francisco State University; Fatemeh Khalkhal; Stephanie Claussen, San Francisco State University; Ana Karen Biviano

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

., and Finkelstein, N.D. (2020) Epistemic stances toward group work inlearning physics: Interactions between epistemology and social dynamics in a collaborativeproblem solving context. Physics Education. arXiv:2005.02425Kajfez, R. L., Mohammadi-Aragh, M. J., Clark, A., Sassi, S., and Petrie, J. (2019, June), Board29: Initial Qualitative Exploration into First-Year Engineering Community and Identity. The2019 ASEE Annual Conference & Exposition, Tampa, Florida. 10.18260/1-2—3231Knapp, H. (2018) Intermediate Statistics Using SPSS. SAGE Publications, Inc.Leslei I. (2021) Conflicted: How Productive Disagreements Lead to Better Outcomes. HarperCollins.Loignon, A (2022) Comments made during the Advisory Board Meeting for the NSF Project #[Blind for

Conference Session

Advancing Diversity, Equity, and Inclusion

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kristen Moore, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York; Qiuxing Chen; Anne M. McAlister, University of Virginia; Courtney Burris; Jada Vanessa Mowatt, Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York

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Diversity

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Educational Research and Methods Division (ERM)

Paper ID #38577Integrating Participatory Methods in the Study of Equity and InclusionDr. Kristen Moore, University at Buffalo, The State University of New York Kristen R. Moore is an Associate Professor in the Department of Engineering Education at University at Buffalo. Her research focuses primarily on technical communication and issues of equity, inclusion, and social justice.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment Research

Conference Session

Student Assessments and Tests

Collection

2023 ASEE Annual Conference & Exposition

Authors

Chinedu Alexander Emeka; Craig Zilles, University of Illinois at Urbana-Champaign; Matthew West, University of Illinois at Urbana-Champaign; Geoffrey L. Herman, University of Illinois at Urbana-Champaign; Timothy Bretl, University of Illinois at Urbana-Champaign

Tagged Divisions

Educational Research and Methods Division (ERM)

, “The development and validation of a new multidimensional test anxiety scale (mtas),” European Journal of Psychological Assessment, 2020.[23] R. Driscoll, “Westside test anxiety scale validation.” Online submission, 2007.[24] J. Taylor and F. P. Deane, “Development of a short form of the test anxiety inventory (tai),” The Journal of General Psychology, vol. 129, no. 2, pp. 127–136, 2002.[25] C. D. Spielberger, “Manual for the state-trait anxietry, inventory,” Consulting Psychologist, 1970.[26] E. S. Cerino, “Relationships between academic motivation, self-efficacy, and academic procrastination.” Psi Chi Journal of Psychological Research, vol. 19, no. 4, 2014.[27] P. Steel, “The nature of procrastination: a meta-analytic and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 26

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xinfeng (Kevin) Quan, Westlake University; Chaoyi Wang, Zhejiang Normal University ; Chenhui Zhang, Self-employed

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

. Science, 323(5914), 586–587.Blackie, M. A. L., Arnott, G., & Kaschula, C. H. (2023). Engaging Organic Chemistry Students in Knowledge Building. Journal of Chemical Education, 100(9), 3302–3308.Deslauriers, L., McCarty, L. S., Miller, K., Callaghan, K., & Kestin, G. (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proceedings of the National Academy of Sciences, 116(39), 19251–19257.Ding, L. (2018). Progression Trend of Scientific Reasoning from Elementary School to University: a Large-Scale Cross-Grade Survey Among Chinese Students. International Journal of Science and Mathematics Education, 16(8), 1479–1498.Greene, J. A., Cartiff, B. M., &

Conference Session

Pedagogy and Instructional Practices

Collection

2023 ASEE Annual Conference & Exposition

Authors

Laura Biester; Ian Stewart; Laura Hirshfield, University of Michigan; Rada Mihalcea; Sara Pozzi

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

science professors: A large scale analysis on ratemyprofessor data. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, pages 980–986, 2021.[14] Andrew S Rosen. Correlations, trends and potential biases among publicly accessible web-based student evaluations of teaching: a large-scale study of ratemyprofessors. com data. Assessment & Evaluation in Higher Education, 43(1):31–44, 2018.[15] Yanan Fan, Laura J Shepherd, Eve Slavich, David Waters, M Stone, Rachel Abel, and Emma L Johnston. Gender and cultural bias in student evaluations: Why representation matters. PloS one, 14(2):e0209749, 2019.[16] Kenneth M Cramer and Louise R Alexitch. Student Evaluations of College Professors

Conference Session

Computer Science Education and AI research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ayesha Johnson, University of South Florida, College of Nursing; Zachariah J Beasley P.E., University of South Florida

Tagged Divisions

Educational Research and Methods Division (ERM)

technology 51, 7 (2009), pp. 1110–1122.[16] Henry Kautz, Bart Selman, and Mehul Shah. “Referral Web: combining social networks andcollaborative filtering”. Communications. ACM 40, 3 (1997), pp. 63–65.[17] Ching-Yung Lin, Kate Ehrlich, Vicky Griffiths-Fisher, and Christopher Desforges.“Smallblue: People mining for expertise search”. IEEE MultiMedia 15, 1 (2008), pp. 78–84.[18] Julia M Mayer, Starr Roxanne Hiltz, and Quentin Jones. “Making social matching context-aware: Design concepts and open challenges”. In Proceedings of the 33rd Annual ACMConference on Human Factors in Computing Systems. 2015. pp. 545–554.[19] David W McDonald and Mark S Ackerman. “Expertise recommender: a flexiblerecommendation system and architecture”. In Proceedings of the

Conference Session

Virtual Training, Online and Open Education; Instructional Technology

Collection

2023 ASEE Annual Conference & Exposition

Authors

Andrew Floyd Barnes, University of North Florida; Andrew McCoy, Virginia Polytechnic Institute and State University

Tagged Divisions

Educational Research and Methods Division (ERM)

,” Procedia Engineering, 2017. 196, 1088–1097. https://doi.org/10.1016/j.proeng.2017.08.066[9] I. Choudhury, "The Effect of Watching Video Clips on Student Performance in a Construction Science Course at an Undergraduate Level," In 2011 ASEE Annual Conference & Exposition, 2011. pp. 22-1450.[10] J. M. Burgett, “Can ‘Flipping the Classroom’ Improve the Educational Experience in Construction Management Courses: A Case Study in Teaching,” HVAC Psychrometrics, 2014. 8. http://ascpro0.ascweb.org/archives/cd/2014/paper/CEUE127002014.pdf[11] N. Lee, T. Salama, and S. J. Kim, “Using the Flipped Classroom Model to Improve Construction Engineering and Management Education,” 2016 ASEE Annual Conference &

Conference Session

Disciplinary Engineering Education Research – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Beth (Ann Elizabeth) Wittig, City University of New York, City College of New York, Department of Civil Engineering

Tagged Divisions

Educational Research and Methods Division (ERM)

to deepen understanding write effectively, create n. Self-assess regularly to monitor progress and redirect efforts productive groups, o. Think about how you feel about your performance and your work communicate professionally, p. Think about how you feel about being a part of the major and the college build network q. Actively work to build your sense of belonging in the major - 2 classes r. Connect with other students in class and in study groups5. Learning: Deep s. Connect with faculty in class and office understanding, growth t. Participate in activities on campus mindset, levels of learning u. Report

Conference Session

Educational Research and Methods Division (ERM) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiaojin Ye, State University of New York, Farmingdale; Carlos William Castillo-Garsow, Eastern Washington University

Tagged Divisions

Educational Research and Methods Division (ERM)

conceptualentity.”These difficulties also extend to high school teachers. Thompson [13] identified the case of“Sandra,” where a high school teacher struggled to find the y-intercept of a line from two givenpoints (3,1) and (7,4). In this case, Sandra thought of the slope in terms of “over 4 and up 3.”However when changing by -4 from (3,1), she passed the y-axis, and didn’t know how to adjustfor a change in x of -3, rather than -4. length 4 to the left from (3,1). See Figure 6 4. S: (Long pause) We’ll pick this up tomorrow. (Pa problems. Do just the ones with one point.Figure 1. Sandra's board work for finding the y-intercept of a line from two points (reproducedfrom [13

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mac Joseph Gray, Duke University; Rabih Younes, Duke University

Tagged Divisions

Educational Research and Methods Division (ERM)

discussion, 2012. URL https://edstem.org/. [5] Charles Severance. Sakai learning management system, 2005. URL https://www.sakailms.org/. [6] C. Romero and S. Ventura. Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications, 33(1):135–146, 2007. ISSN 0957-4174. doi: https://doi.org/10.1016/j.eswa.2006.04.005. URL https://www.sciencedirect.com/science/article/pii/S0957417406001266. [7] Concepci´on Burgos, Mar´ıa L. Campanario, David de la Pe˜na, Juan A. Lara, David Lizcano, and Mar´ıa A. Mart´ınez. Data mining for modeling students’ performance: A tutoring action plan to prevent academic dropout. Computers & Electrical Engineering, 66:541–556, 2018. ISSN 0045-7906. doi: https://doi.org/10.1016