sharing among educators, it aimsto make PBL a more accessible and appealing pedagogical approach for engineering education.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grant No.2117224. 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] D. Jonassen, “Supporting Problem Solving in PBL,” Interdisciplinary Journal of Problem- Based Learning, vol. 5, no. 2, Sep. 2011, doi: 10.7771/1541-5015.1256.[2] W. Hung, D. H. Jonassen, and R. Liu, “Problem-Based Learning,” 2008, pp. 485–506.[3] D. Boud and G. Feletti, The Challenge of Problem-Based Learning
that is brief, well-structured, and that takestheir psychosocial needs into account.Acknowledgements: This work was supported through funding by the National ScienceFoundation IUSE Grant No. 2111114/2111513. 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.Note: The first and last author share first authorship equally.References[1] Nat. Center for Science and Engineering Statistics (NCSES), “Diversity and STEM: Women, minorities, and persons with disabilities 2023,” Nat. Science Foundation, Special Report NSF 23-315, 2023. [Online]. Available: https://ncses.nsf.gov/wmpd[2] Nat.Center for Education
, 2000, doi: 10.1037/0003-066X.55.1.68.[7] M. Gopalan and S. T. Brady, “College Students’ Sense of Belonging: A National Perspective,” Educ. Res., vol. 49, no. 2, pp. 134–137, 2020, doi: 10.3102/0013189X19897622.[8] A. Master and A. N. Meltzoff, “Cultural Stereotypes and Sense of Belonging Contribute to Gender Gaps in STEM,” Int. J. Gender, Sci. Technol., vol. 12, no. 1, pp. 152–198, 2020.[9] K. Rainey, M. Dancy, R. Mickelson, E. Stearns, and S. Moller, “Race and gender differences in how sense of belonging influences decisions to major in STEM,” Int. J. STEM Educ., vol. 5, no. 1, pp. 1–14, 2018, doi: 10.1186/s40594-018-0115-6.[10] C. U. Lawrence and E. Lee, “WIP: Sense of Belonging Research in
Paper ID #41514Use of Theories in Extended Reality Educational Studies: A Systematic LiteratureReviewDr. Kimia Moozeh, Queen’s University Kimia Moozeh is a research associate at Queen’s university in Engineering Education. Her PhD dissertation at University of Toronto explored improving the learning outcomes of undergraduate laboratories. Her research interests are lab-based learning, online learning and metacognition.Dr. Paul Cameron Hungler P.Eng., Dr. Paul Hungler is an assistant professor in the Department of Chemical Engineering and Ingenuity Labs at Queenˆa C™s University. Prior to starting his current position, Major
from each identified document according to the following criteria:author/s, publication date, document type, purpose, study design/methods/sample, and outcomesor conclusions.Stage 5. Collating, summarizing, reporting results There were 90 papers identified from the first two databases that included “graduateprogram director” and “engineering” as search terms in the title/abstract/subject and 70 identifiedresults in the last database that searched specifically for “graduate program director” in all fields.In the screening phase, a total of 147 were screened and 134 excluded followinginclusion/exclusion criteria which included the title and abstract review and a skim of the fulltext when needed, thus leaving 13 records for analysis
] witheach differing in focus and scope. Some tools emphasize broad abilities, while others targetspecific subskills. Some prioritize language over culture or focus on international differenceswhile overlooking intracultural variation. Others remain ambiguous, with unclear objectives[58], [59]. A summary of some of these tools is provided in [58], including those designed forindividuals, teams, leaders, and organizations [59].In the process of identifying a suitable theoretical framing for this study, we reviewed severalinstruments, each offering unique perspectives on cultural awareness and interaction. TheMiville-Guzman Universality-Diversity Scale - Short Form (MGUDS-S), for instance, measuresindividuals' awareness and acceptance of similarities
environmentmanagement.Consequently, the control of the effect that emotional self-regulation could have on therelationship between mental well-being and self-regulated learning remains open, so future workshould incorporate other dimensions of self-regulation learning into the proposed model,analyzing how these are impacted by the two dimensions of mental well-being. Future work isalso expected to estimate the indirect effect of the gaps in social integration of specific groups ontheir mental well-being and on the self-regulation of their learning.AcknowledgementsReserved for blind review.References[1] S. J. Bork and J. L. Mondisa, “Science, Engineering, and Mathematics Graduate Student Mental Health: Insights from the Healthy Minds Network Dataset,” in 2019 ASEE
Education at the University of Nevada, Reno. There she completed her Bachelorˆa C™s and is working on her Master of Science in mechanical engi- neering. Her research focuses are on undergraduate engineMs. Rachael Ciara Young Rachael has experience working in kindergarten through college engineering education and is passionate about fostering access and excitement for STEM studies. She graduated with dual bachelor’s degrees in electrical engineering and environmental science in 2022. Rachael currently works in aerospace with an emphasis on avionics and electrical power systems.Ms. Indira Chatterjee, University of Nevada, Reno Indira Chatterjee received her M.S. in Physics from Case Western Reserve University, Cleveland
lack oftransparency about university process; workload; role conflict [34]; the political landscape; andimpostor syndrome [35]. Satterfield et. al [30]. noted that the pool of research on the graduatestudent experience in STEM was limited and compiled a comprehensive literature review in2018 to set the stage for future work. The summary focused on the experiences of graduatestudents during their studies, and how individual factors (the influence of the student’s advisor),programmatic factors (isolation and teaching assistantships), and external factors (work-lifebalance and family influence) influence their persistence in the field [30]. Berdanier et al.’s [36]study of social media forums found that among the factors influencing attrition in
. Participants were then recruited, given consentinformation, and scheduled to participate.During the scheduled interview times, in an initial briefing, the participants were asked torecord verbal consent, given information about the study including instructions on how tothink aloud and respond, and given an opportunity to ask clarifying questions about the CImethod. Then participants were shown the survey and responded aloud to how they wouldanswer survey items. The interviewer(s) asked concurrent probing questions as participantsanswered these questions aloud, and at the end of each section of related items, theinterviewers asked broader retrospective questions. These questions included assessing theoverall clarity and design of the study, the
Multidisciplinary Engineering. Her work focuses on instructional strategies in engineering, and educational technology. She is also passionate about student mental health and broadening participation in engineering.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 in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in institutional efforts to advance equity and inclusion, and using data science
toward plant sciences,” CBE Life Sci. Educ., vol. 13, no. 3, pp. 387–396, 2014, doi: 10.1187/cbe.13-12-0231.[2] A.-B. Hunter, S. L. Laursen, and E. Seymour, “Becoming a scientist: The role of undergraduate research in students’ cognitive, personal, and professional development,” Sci. Educ., vol. 91, no. 1, pp. 36–74, 2007, doi: 10.1002/sce.20173.[3] S. E. Brownell et al., “A High-Enrollment Course-Based Undergraduate Research Experience Improves Student Conceptions of Scientific Thinking and Ability to Interpret Data,” CBE—Life Sci. Educ., vol. 14, no. 2, p. ar21, Jun. 2015, doi: 10.1187/cbe.14-05-0092.[4] M. T. Jones, A. E. L. Barlow, and M. Villarejo, “Importance of Undergraduate Research for Minority Persistence and
the support of the Jerry G. Huff Chair in Innovative Teaching in the Ron and JaneGraham School of Professional Development in the College of Engineering at the University ofSaskatchewan, the DuPont Canada Chair in Engineering Education Research and Developmentin Smith Engineering at Queen’s University, and the Enhancing Learning and Teaching inEngineering Faculty Scholar Award at McGill University.References[1] S. Maw, P. Neufeld, L. Chen, C. Jaeger, K. Moozeh, P. Ostafichuk, B. Frank, C. MacGregor,G. McSorley, and J. Grove. “Preliminary employment trajectory findings from a pan-Canadiansurvey on career motivations and aspirations of undergraduate engineering students,” CanadianEngineering Education Association (CEEA) Conference, June 15-19
challenging forSpanish speakers. As such, we use “Latine” to be both linguistically and gender inclusive. Whenreporting interview data, we use our participants’ chosen terminology to honor their views andperspectives.Garcia’s Servingness Our project looks at the work of teaching-focused faculty in STEM departments throughthe lens of Garcia et al.’s [3] Multidimensional Conceptual Framework of Servingness in HSI’s1to ascertain and analyze where and how this subset of faculty’s work contributes to servingness.The framework of servingness derives from Garcia et al.’s [3] systematic review of 148 researcharticles and book chapters that had previously conceptualized servingness at HSIs. While not allof our sample of faculty were teaching at HSIs
engineeringstudents while highlighting the nuanced contributions of motivational profiles. By integratingrobust statistical analyses with theoretical frameworks, the research offers valuable insights intothe interplay between achievement goals, self-belief, and adaptability. These findings havepractical implications for designing targeted interventions to optimize student motivation,resilience, and academic success in engineering education. Future work should build on theseinsights to refine strategies for fostering resilience and adaptability, ultimately enhancingoutcomes in STEM education.Reference[1] U. P. Supervía, S. C. Bordás, and Q. A. Robres, "The mediating role of self-efficacy in the relationship between resilience and academic performance
happiness and wellbeing course discussed in this paper focuses onbuilding student capacity in many important areas. The goals and objectives which we aim toachieve with this course are widely supported by empirical research. We argue that this course willprovide a solid foundation to undergraduate students when they need it the most, during their firstyear to thrive in the rest of their academic years. 12REFERENCES 1. Z. Abrams, “Student mental health is in crisis. Campuses are rethinking their approach,” Apa.org, Oct. 01, 2022. https://www.apa.org/monitor/2022/10/mental-health-campus- care 2. S. K. Lipson et al., “Trends in college student
students’ misconceptions. As anext phase, we are embarking on a systematic review of CIs in engineering. This endeavor seeksto uncover more patterns regarding their usage and assess the overall reliability and validity ofCIs in engineering field. Appendix A: List of Concept Inventories developed and used in Engineering education within the included studiesS/N Author(s) Name of CIs Measurement Focus Description1 Y. Ngothai, M.C. Chemical Chemical Engineering Assess understanding of Davis. (2012) Engineering Concept chemical engineering Inventory (CECI) concepts.2
, “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
-building outcomes.Together, prior findings that suggest support programs enhance students’ social capital and socialcapital’s relevance for persistence in CS motivate our study into whether students acquired socialcapital from CSSI, how CSSI’s design and environment influenced students’ access to socialcapital, and whether participants’ outgoing social capital impacted their persistence in CS. ● RQ1: What form(s) of social capital in CS did students acquire from CSSI? ● RQ2: What were features of CSSI that influenced students’ access to social capital in CS? ● RQ3: How did access to social capital from CSSI impact students’ persistence in CS?MethodsHosted by Google and first launched in 2008 [51], CSSI’s name recognition and maturityenabled
me because I am too… Blond? [S Contractions o you are breaking up with me because I am too…✨Neurodive rgent✨] Remove So you are breaking up with me because I am too Blond So y Punctuation and ou are breaking up with me because I am too Neurodivergent Symbols Convert to Lower so you are breaking up with me because i am too blond so y Case ou are breaking up with me because i am too neurodivergent Remove breaking blond breaking neurodivergent Stopwords Lemmatize break blond break neurodivergent Tokenize WordList(['break', 'blond', 'break', 'neurodivergent'])5.4.3. Describing the CorpusPrior to training the LDA model, we first explored the contents of
increasing student performance but also help the students tobecome self-directed learners which is essential for them to become lifelong learners.6References[1] G. Fellner-Röhling, K. Hromek, J. Kleinknecht, and S. Ludwig, "How to counteract biased self-assessments? An experimental investigation of reactions to social information," Journal of Economic Behavior & Organization, vol. 206, pp. 1-25, 2023/02/01/ 2023, doi: https://doi.org/10.1016/j.jebo.2022.12.002.[2] R. Sharma, A. Jain, N. Gupta, S. Garg, M. Batta, and S. Dhir, "Impact of self-assessment by students on their learning," International Journal of Applied and Basic Medical Research, vol. 6, p. 226, 07/01 2016, doi: 10.4103/2229-516X.186961.[3] G
InformationPseudonym Racial Gender Disability(s) Engineering Major Year-in-School International Identity Identity Student (Y/N)Susan White Woman Multiple physical disabilities Mechanical Third-year NLucy Black Woman Cognitive, learning Civil Third-year YAria White Woman Cognitive Industrial Ph.D. NClaire White Woman Cognitive, learning, physical Computer Science Fourth-year N Co-researcher Recruitment and Data Collection This
identified by the other model. The GPT-4 model tended to identifymore basic relationships, while manual analysis identified more nuanced relationships.Our results do not currently support using GPT-4 to automatically generate graphicalrepresentations of faculty’s mental models of assessments. However, using a human-in-the-loopprocess could help offset GPT-4’s limitations. In this paper, we will discuss plans for our futurework to improve upon GPT-4’s current performance.IntroductionAssessments are found in every engineering classroom and are an important part of our educationsystem [1]-[3]. Assessments play many different roles, including understanding studentimprovements in learning [4], acting as a tool to assist students with learning [5], [6
(DE-NA0004115) , MSIPP-I AM EMPOWERED funded by the Department of Energy (DE-NA0004004), NSF-RISEfunded by the National Science Foundation (1646897), CREST Center funded by the National Science Foundation (1735968),RETREAT: Retaining Engineers through Research Entrepreneurship and Advanced Materials Training funded by the NationalScience Foundation (1950500), DREAM: Diversity in Research and Engineering of Advanced Materials Training. Funded by AirForce Research Laboratory (FA8651-18-1-0003) and Catalyst Project: A Two-Semester Driven Conceptualization Training ofManufacturing Intelligence in Materials Engineering (MIME) - A Froshmore FUTURES Program (2011853).References[1] M. L. Espino, S. L. Rodriguez, and B. D. Le, "A Systematic
Identity measures and the Research-Science/tist Identity measures here.Recognition measurements between all three identities were particularly strongly correlated(r>0.999), suggesting these constructs largely measure the same (or very similar) underlyingidentity component(s) in engineering doctoral students.The relative contribution of identity subconstructs to overall identity strength was examinedthrough ridge regression against implicit association scores. This approach differs from previouswork with this instrument [24] where recognition, performance, and interest were weightedequally in identity calculations. The regression revealed recognition as the dominant predictor,with performance contributing moderately and interest showing a
. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational psychologist, 49(4), 219-243. https://doi.org/10.1080/00461520.2014.965823[3] Crawley, E., Malmqvist, J., Ostlund, S., Brodeur, D., & Edstrom, K. (2007). Rethinking engineering education. The CDIO approach, 302(2), 60-62.[4] Curtis, H., Gartner, J., Dutta, P., Adesope, O., Van Wie, B., & Watson, C. (2022, August). Teacher Impact on Student Learning Using LC-DLM Implementations in the Classroom. In 2022 ASEE Annual Conference & Exposition[5] Durak, Z. E., Thiessen, D. B., Ajeigbe, O. J., Adesope, O. O., & Van Wie, B. J. (2025). Hands-on fluidized bed classroom implementation and assessment
pedagogical strategies that harness the strengths of agile frameworks to enrich the educational experience of students. References[1] D. Lopatto, “Undergraduate research as a high-impact student experience,” Peer Rev., vol. 12, no. 2, pp. 27–31, Mar. 2010.[2] J. O. Shanahan, E. Ackley-Holbrook, E. Hall, K. Stewart, and H. Walkington, “Ten Salient Practices of Undergraduate Research Mentors: A Review of the Literature,” Mentor. Tutoring Partnersh. Learn., vol. 23, no. 5, pp. 359–376, Oct. 2015, doi: 10.1080/13611267.2015.1126162.[3] G. D. Kuh, “High-Impact educational practices.,” Peer Rev., vol. 10, no. 4, pp. 30–31, Sep. 2008.[4] S. Aggrawal and A. J. Magana, “Undergraduate Student Experience with Research Facilitated by Project
the group encountered in the virtual laboratory was to decide whatparameters to use for their first experiment. In this encounter, the group is confronted with and addressesthis gap. 1 Blue: So, now we have to pick the range. 2 Red: So, the first six, do you want to do a higher range? 3 Green: 5, 10... 15, 20, 25- 4 Red: Well, it would be up to 25 because one's a control. Right? So, we only have five. 5 Green: Well, we want to go up to a maximum of 100, right? That's the goal? 6 Red: We can do that. So, do you want to do obviously 10, but... 20's? That would give us the wide range for zero to 100 for the first run. 7 Green: We could
selectingmaterial(s), students’ descriptions of their experience, and how the experience will shape futureaction simultaneously. For example, Kampe’s paper focused on describing a method forcalculating the environmental load of a specific material [20]. Ruzycki’s study explored howmuch students learned of various course topics and what key aspects of the course the studentswere still using in their current coursework a year later, based on a survey [22]. Findings weresummarized in bar chart and word cloud form, respectively. Surveyed and reported topicsincluded life cycle assessment, material selection, and material databases (e.g., CES EduPack).Ruzycki did share one student quote for the final survey question that focused on why studentsthink they should