Process. Journal of Engineering Education Transformations, 36(4).Kittur, J., & Tuti, S. (2024). Conducting Qualitative Research Study: A Step-by-Step Process. Journal of Engineering Education Transformations.Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., ... & Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLoS digital health, 2(2), e0000198.Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries? Library Hi Tech News.McCoach, D. B., Gable, R. K., & Madura, J. P. (2013). Instrument development in the affective domain (Vol. 10, pp. 978-971). New York, NY
Content Access, Jul. 2021.[9] C. L. Colbeck, S. E. Campbell, and S. A. Bjorklund, “Grouping in the Dark: What College Students Learn from Group Projects,” J. High. Educ., vol. 71, no. 1, pp. 60–83, 2000[10] L. C. Schmidt, “Engineering Teams: Individual or Group Sport?”.[11] M. B. Nakhleh, “Chemical Education Research in the Laboratory Environment: How Can Research Uncover What Students Are Learning?,” J. Chem. Educ., vol. 71, no. 3, p. 201, Mar. 1994[12] A. Hofstein and V. N. Lunetta, “The laboratory in science education: Foundations for the twenty-first century,” Sci. Educ., vol. 88, no. 1, pp. 28–54, 2004[13] L. B. Buck, S. L. Bretz, and M. H. Towns, “Characterizing the Level of Inquiry in the Undergraduate
Paper ID #43880Evaluation of LLMs and Other Machine Learning Methods in the Analysis ofQualitative Survey Responses for Accessible Engineering Education ResearchXiuhao Ding, University of Illinois at Urbana - ChampaignMeghana Gopannagari, University of Illinois at Urbana - ChampaignKang Sun, University of Illinois at Urbana - ChampaignAlan Tao, University of Illinois at Urbana - ChampaignDelu Louis ZhaoSujit Varadhan, University of Illinois at Urbana - Champaign Sujit Varadhan is a Junior at the University of Illinois at Urbana-Champaign majoring in Computer Science. He is an undergraduate research assistant as well as a frontend
Paper ID #39024Approaches to Evidencing Intra-Team Equity in Student CollaborativeDesign Decision-Making InteractionsDr. Andrew David Moffat, University of Michigan Andrew Moffat is a Postdoctoral Research Fellow at the University of Michigan, working with the Engi- neering Education Research Unit and Center for Academic Innovation on an NSF-funded project to assess the effectiveness of Tandem, an in-house software platform designed to support and nurture teamwork skills in undergraduate engineering students. Andrew has a background in education research and evalua- tion, having previously worked on a project at the
1 (Disagree) to 5 (Agree), with option 3 (Neither agree nor disagree) beingneutral.There are also the following evaluations underway, where a more comprehensive analyseswill be submitted in the full paper.(b) The Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS), providedbefore the intervention, measures students’ self-perceived characteristics and motivation inrelation to their levels of autonomy, relatedness, and competence [19].(c) The Problems in School (PIS) Questionnaire [20], provided before the intervention,measures their orientation towards decision-making, either being more controlling or moreautonomous.(d) An Ill-Structured Problem Validation Tool (ISPVT) [21], provided after the intervention,allow students to
.[5] A. Bandura, “On the Functional Properties of Perceived Self-Efficacy Revisited,” Journal of Management, vol. 38, no. 1, pp. 9-44, 2012.[6] D. R. Krathwohl, B. Bloom and B. Masia, Taxonomy of Educational Objectives: the classification of educational goals (Affective domain, handbook II), vol. II, D. McKay, Ed., New York, 1964.[7] H. Khan, “Teaching To Design, Build, And Test In Senior Projects: Learning Outcomes In The Cognitive, Affective And Psychomotor Domains,” in ASEE Annual Conference, Montreal, 2002.[8] E. Stapleton-Corcoran, “Bloom’s Taxonomy of Educational Objectives,” University of Illinois Chicago, Center for the Advancement of Teaching Excellence, 25 January 2023. [Online]. Available: https
of PBL and traditional lecture-based teaching in undergraduate engineering courses: Evidence from controlled learning environment,” International journal of engineering education, 29(1), 17-22, 2013.[13] P. Dolog, L. Thomsen, & B. Thomsen, “Assessing problem-based learning in a software engineering curriculum using Bloom’s taxonomy and the IEEE software engineering body of knowledge,” ACM Transactions on Computing Education (TOCE), 16(3), 1-41, 2016.[14] J. Moust, H. Berkel, & H. Schmidt, “Signs of erosion: Reflections on three decades of problem- based learning at Maastricht University,” Higher education, 50(4), 665-683, 2005.[15] M. Lejk, M. Wyvill,, & S. Farrow, “A survey of methods of deriving individual
increased during the study. The most significant positive changes on average were for a) “Campus life offered by the department is very stimulating,” b) “There’s a sociable atmosphere in the department,” and c) “There is a strong feeling of togetherness in the department.” Figure 1 visualizes the end-of-semester means versus the baseline means of Table 1. At the end of the semester, “There’s a sociable atmosphere in the department” had the highest average (4.67). “I wish I had gone to another department instead of this one” has the lowest (Reversed, 3.44). Other results indicated that students were finding belongingness. For example, one CS I student became an ExCITE volunteer early in the
Paper ID #43931Investigating Undergraduate Engineering Students’ Understanding and Perceptionsof Affective Domain of LearningMs. Anna Li Coffman, University of OklahomaDr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011 and 2014, respectively. He has worked with Tata Consultancy Services as an
,” 2022.[10] E. E. Miskioğlu et al., “Situating intuition in engineering practice,” J. Eng. Educ., vol. 112, no. 2, pp. 418–444, 2023, doi: 10.1002/jee.20521.[11] J. Fülöp, “Introduction to Decision Making Methods,” 2005.[12] C. Aaron, E. Miskioglu, K. M. Martin, B. Shannon, and A. Carberry, “Nurses, Managers, and Engineers – Oh My! Disciplinary Perceptions of Intuition and Its Role in Expertise Development,” in 2020 IEEE Frontiers in Education Conference (FIE), Uppsala, Sweden: IEEE, Oct. 2020, pp. 1–6. doi: 10.1109/FIE44824.2020.9274026.[13] M. Roth, E. Miskioglu, A. R. Carberry, and K. M. Martin, “Characterizing Perceptions of Engineering Intuition Based on Experience and Gender: 2023 ASEE Annual
Engineering at California Polytechnic State University, San Luis ObispoJohn Galisky, University of California, Santa BarbaraDr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for sev ©American Society for Engineering Education, 2024 WIP: Instructors’ Framing of their Instructional PracticeIntroductionThis WIP study stems from a larger project focused on the propagation of educationaltechnology in diverse instructional settings
.[11] A. Hachey, S. An, and D. Golding, “Nurturing Kindergarteners’ Early STEM Academic Identity Through Makerspace Pedagogy,” Early Childhood Education Journal, vol. 50, pp. 469–479, 2022.[12] K. Sheridan, E. Halverson, B. Litts, Brahms, L., L. Jacobs-Priebe, and T. Owens, “Learning in the Making: A Comparative Case Study of Three Makerspaces,” Harvard Educational Review, vol. 84, pp. 505-531, 2014.[13] J. Hunt and M. Culpepper, “The Impact of Makerspaces on the Students That Volunteer to Mentor Makers,” in Proceedings of the 2nd International Symposium on Academic Makerspaces, 2017, Case Western Reserve University. No.998.
Paper ID #43927Cognitive Domain of Learning: Exploring Undergraduate Engineering Students’Understanding and PerceptionsMiss Anna Li Coffman, University of OklahomaDr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011 and 2014, respectively. He has worked with Tata Consultancy Services as an
; Beddoes, K. (2013). Team effectiveness theory from industrialand organizational psychology applied to engineering student project teams: A research review. Journalof Engineering Education, 102(4), 472-512.Cardador, M. T., & Caza, B. B. (2018). The subtle stressors making women want to leave engineering.Harvard Business Review: https://hbr.org/2018/11/the-subtle-stressors-making-women-want-to-leave-engineering?ab=at_art_art_1x1Campero, S. (2021). Hiring and intra-occupational gender segregation in software engineering. AmericanSociological Review, 86(1), 60-92.Crenshaw, K. (1989). Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique ofAntidiscrimination Doctrine, Feminist Theory, and Antiracist Politics. University of
Expertise: Emergent Themes and Frequency by Gender Identity and Role Change into Management. 2021 ASEE Virtual Annual Conference & Exposition, https://peer.asee.org/37591Coyne, R. (2005). Wicked problems revisited. Design studies, 26(1), 5-17. https://doi.org/10.1016/j.destud.2004.06.005Crandall, B., Klein, G. A., & Hoffman, R. R. (2006). Working minds: A practitioner's guide to cognitive task analysis. MIT Press.Crandall, B. W., & Hoffman, R. R. (2013). Cognitive Task Analysis. In J. D. Lee & A. Kirlik (Eds.), The Oxford Handbook of Cognitive Engineering (pp. 229-239). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199757183.001.0001Davidson, J. E., Deuser, R., & Sternberg, R. J. (1994). The role of
, 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
Paper ID #41998Engineering Doctoral Students’ Expectations, Reflections, and Concerns RegardingFuture in AcademiaOmar Jose Garcia, University of Oklahoma Omar Garcia is an undergraduate Aerospace Engineering student at The University of OklahomaDr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011
University of South Dakota, her M.S. in Aeronautical and Astronautical Engineering and her PhD in Engineering Education from Purdue University. Her research expertise lies in characterizing graduate-level attrition, persistence, and career trajectories; engineering writing and communication; and methodological development. ©American Society for Engineering Education, 2023 Synthesizing Indicators of Quality across Traditions of Narrative ResearchMethods: A Procedural Framework and Demonstration of Smoothing FramesAbstractThe purpose of this methods paper is to describe and discuss one of the main indicators ofquality in narrative analysis, which is the process of narrative smoothing. Narrative analysisrefers
,” Journal of Engineering Education, vol. 112, no. 1, pp. 12–17, Dec. 2022, doi: https://doi.org/10.1002/jee.20493.2. A. Minichiello, O. Lawanto, W. Goodridge, A. Iqbal, and M. Asghar, “Flipping the digital switch: Affective responses of STEM undergraduates to emergency remote teaching during the COVID-19 pandemic,” Project Leadership and Society, p. 100043, Feb. 2022, doi: https://doi.org/10.1016/j.plas.2022.100043.3. O. Lawanto, A. Iqbal, W. Googridge, A. Minichiello, and M. Asghar, “Emergency remote learning: Developing an understanding about online learning features and Students’ feelings,” International Journal of Engineering Education, vol. 38, no. 5-B, pp. 1629–1642, 2022.4. M. Asghar, A
,” in 2021 ASEE Virtual Annual Conference Content Access, 2021.[11] R. G. Abd Ellah, “Water resources in Egypt and their challenges, Lake Nasser case study,” Egypt. J. Aquat. Res., vol. 46, no. 1, pp. 1–12, Mar. 2020, doi: 10.1016/j.ejar.2020.03.001.[12] P. E. Spector, Summated Rating Scale Construction: An Introduction. SAGE, 1992.[13] R. Johnson and L. Christensen, Educational research: Quantitative, qualitative, and mixed approaches, 5th ed. Washington D.C.: Sage Publisher, 2014.[14] J. F. Hair, W. Black, and B. Babin, Multivariate data analysis, 8th ed. Cengage Learning, 2019.[15] I. Osunbunmi, “A Mixed-Methods Study of College Experiences and Learning and Study Strategies of High-Achieving Engineering Students,” Grad
12 influencing the adoption of student-centered teaching among chemistry, biology, and physics faculty. International Journal of STEM Education, 2(1). https://doi.org/10.1186/s40594-015-0026-8Major, J. C., Scheidt, M., Godwin, A., Berger, E. J., & Chen, J. (2020). Effect of test anxiety on first-year students’ STEM Success. Proceedings of the American Society for Engineering Education Annual Conference & Exposition (Virtual).Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Fundamentals of qualitative data analysis. In Qualitative data analysis: A methods sourcebook (3rd ed.).Monks, J., & Schmidt, R. (2010). The impact of class size and number of students on outcomes in higher education. https
%), communicating clearly (12.9%), being available outside of class (7.2%), andtreating all students with respect (6.0%). Being an expert in the content area was ranked as thefirst choice for effective TA teaching by only 6.0% of students in this study, underscoring thefact that what TAs think they should be doing may be very different from what students expectthem to do.This Study:This study seeks to expand upon existing knowledge regarding what engineering students expectfrom TAs in four different ways: (a) by exploring TA support in courses within two popularengineering disciplines (mechanical and electrical engineering); (b) by using open-ended, shortanswer questions rather than close-ended Likert scale questions to allow students to fully exploretheir
. Tsugawa-Nieves, A. Kirn, and C. Cass, “Development and testing of an instrument to understand engineering doctoral students’ identities and motivations,” ASEE Annual Conference and Exposition, Conference Proceedings, vol. 2018-June, 2018, doi: 10.18260/1-2--30319.[7] K. O. Meara and K. Knudsen, “The Role of Emotional Competencies in Faculty-Doctoral Student Relationships,” vol. 36, no. 3, pp. 315–347, 2013.[8] C. G. P. Berdanier, A. Tally, S. E. Branch, B. Ahn, and M. F. Cox, “A strategic blueprint for the alignment of doctoral competencies with disciplinary expectations,” International Journal of Engineering Education, vol. 32, no. 4, 2016.[9] C. Aitchison, “Writing groups for doctoral education
whether an individual stays in a field[34]. Lehman et al. [32] follow the persistence of first- and second-year undergraduate studentson an annual basis for five years and consider students who remain in a CS major to becomputing persisters. Other examples of behavioral persistence include taking another course[31], enrolling in and graduating from a Master’s or PhD program [38], and staying in aprofessional position [39] in CS. In the present study, participants who exhibit behavioralpersistence are those who currently study CS and/or hold a professional position in the field. B. CS Support ProgramsCS support programs include summer camps, afterschool programs, workshops, and seminarsthat span from one to four weeks [22] and are offered by
Paper ID #42007Validity Evidence for the Sophomore Engineering Experiences SurveyMiss Fanyi Zhang, Purdue University Fanyi is a third-year Ph.D. student at Purdue University. She majors in Industrial-Organizational Psychology and works as a Graduate Research Assistant for the Women in Engineering program. Her area of interest focuses on conceptualizing and promoting flourishing and understanding the dynamics of positive relationships. Her current research agenda includes developing a mentor support framework and promoting the effective design of mentor training.Dr. Beth M. Holloway, Purdue University Beth Holloway is
perceive the purpose of self-assessments on assignmentsundertaken in an engineering course?RQ2: How do undergraduate students’ perspectives compare with the intent for giving self-assessments by the instructor?B. ParticipantsThe participants for this study are 121 undergraduate students and an instructor from theElectrical and Computer Engineering program at a R1 public university in Southeastern USA.C. Data CollectionThe design for this study required two strands of data collection, i.e., from the student-participants and instructor-participant (hereafter referred to as the students and instructorrespectively). The data from the student were collected using a qualitative survey that includedquestions that required them to reflect on their
goal line officials." Research in Sports Medicine 22, no. 4 (2014): 425-437.12. Taylor, Lee, Samuel L. Watkins, Hannah Marshall, Ben J. Dascombe, and Josh Foster. "The impact of different environmental conditions on cognitive function: a focused review." Frontiers in physiology 6 (2016): 372.13. Hocking, Chris, Richard B. Silberstein, Wai Man Lau, Con Stough, and Warren Roberts. "Evaluation of cognitive performance in the heat by functional brain imaging and psychometric testing." Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology 128, no. 4 (2001): 719-734.14. Choi, Yoorim, Minjung Kim, and Chungyoon Chun. "Effect of temperature on attention ability based on electroencephalogram
, A. Jaiswal, T. L. Amuah, M. Z. Bula, M. S. Ud Duha, and J. C. Richardson, “Characterizing Team Cognition Within Software Engineering Teams in an Undergraduate Course,” IEEE Trans. Educ., vol. 67, no. 1, pp. 87–99, Feb. 2024, doi: 10.1109/TE.2023.3327059.[23] S. Kumar and I. Chong, “Correlation Analysis to Identify the Effective Data in Machine Learning: Prediction of Depressive Disorder and Emotion States,” Int. J. Environ. Res. Public. Health, vol. 15, no. 12, p. 2907, Dec. 2018, doi: 10.3390/ijerph15122907.[24] V. Clarke and V. Braun, “Thematic analysis,” J. Posit. Psychol., vol. 12, no. 3, pp. 297– 298, 2017.[25] E. G. Guba and Y. S. Lincoln, Fourth generation evaluation. Sage, 1989.[26] B
-White, K. M. Soria, E. K. B. Tower, and O. G. Horner, “Factors associated with anxiety and depression among U.S. doctoral students: Evidence from the gradSERU survey,” J. Am. Coll. Heal., vol. 69, no. 1, pp. 1–12, 2021, doi: 10.1080/07448481.2020.1865975.[8] H. K. Allen, F. Lilly, K. M. Green, F. Zanjani, K. B. Vincent, and A. M. Arria, “Graduate student burnout: Substance use, mental health, and the moderating role of advisor satisfaction,” Int. J. Ment. Health Addict., vol. 18, no. 6, pp. 1–17, Nov. 2020, doi: 10.1007/S11469-020-00431-9.[9] M. Schmidt and E. Hansson, “Doctoral students’ well-being: A literature review,” Int. J. Qual. Stud. Health Well-being, vol. 13, no. 1, pp. 1–14, 2018, doi: 10.1080
. (2016). Virtual and remote labs in education: A bibliometric analysis. Computers & Education, 98, 14–38. https://doi.org/10.1016/j.compedu.2016.03.010Ismael, D. (2023, June). Enhancing Online Hands-On Learning in Engineering Education: Student Perceptions and Recommendations. 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland.Johnson, J. E., & Barr, N. B. (2021). Moving hands-on mechanical engineering experiences online: Course redesigns and student perspectives. Online Learning Journal, 25(1), 209–219. https://doi.org/10.24059/olj.v25i1.2465Kolil, V. K., & Achuthan, K. (2023). Longitudinal study of teacher acceptance of mobile virtual labs. Education and Information