questions are presented in Table 4.Table 4 – Survey questions administered to participants. # Survey Questions and their Intended KSBA Model Elements SQ1 What ideas, concepts, knowledge, or facts have you learned? (K) SQ2 What skills have you developed? (S) How have some of your behaviors, habits, or practices changed, and/or what are SQ3 new ones that you have developed or adopted? (B) How have some of your attitudes or beliefs changed, and/or what are new ones SQ4 that you have developed or adopted? (A) Based on what you now know and have studied, how do you understand the idea SQ5 of Sustainability? (K) What
experience in developing programs for student professional development and broadening participation (co-PI and PI on three NSF S-STEM grants). He has led a number of undergraduate training and summer research programs focussed on supporting first-generation and underrepresented minority students.Dr. Dustin B. Thoman, San Diego State University Dr. Dustin Thoman is a Professor in the Department of Psychology and the Center for Research in Mathematics and Science Education at San Diego State University. His scholarship is grounded in social psychology, diversity science, and a social contextual framework of motivation. He studies how motivation can be supported or disrupted by the social and cultural contexts in which
StudiesOur main objective was to find the interventions in circuits education and how they influencedundergraduate students in circuits courses, extracted information could be beneficial to determinewhich papers could be included in the study and which were not relevant or did not offer anyinterventions to students. The information was gathered from reading the title of the paper, theabstract, and the content with a particular focus on methods, discussions, and conclusions of thestudies. In summary, our closed coding scheme was as follows: author(s) and publication year,whether they were used before, during, or after COVID-19, intervention category, interventionsub-category, teaching mode, duration of intervention, and research method. We also
UV-NIR Spectroscopy Mechanism of Environmental Restoration and Conservation an Approach to Sustainability Bridge Health Monitoring System Using R to Compile an Aggregated Data Analysis Report on Cisalva Institute´s Ondas Project Relationship between two Blood Metabolic Products, Body Condition and Ectoparasitism Infestation in Birds of an Urban Area in Universidad del Valle (Cali), ColombiaAt most universities, Study Abroad courses that are faculty led, and short term as well asSummer Sessions/Schools Abroad, are seen as one of the major vehicles for students to integratean international experience in their curriculum [1]. The NYC LSAMP model (surveyed acrossprogram sites), modeled after the traditional Research Experience for Undergraduates
. For example, “The experiences I gained in my free time havehelped me in my STEM coursework” or “Friend(s) from my neighborhood have given me advicethat helped me in my STEM coursework.”B. Sample and Data CollectionApproval was obtained to conduct this study as per Institutional Review Board (IRB) guidelines.The survey instrument was distributed to directors of the College Assistance Migrant Program(CAMP) across the nation, who supported the distribution of the survey to students with MSFWbackgrounds in STEM fields, which yielded a total of 108 participants (n=108). Participants had amonth to complete the survey, and to boost their participation, a random drawing of five e-giftcards from the pool of participants was offered as an incentive
Conference, as well as one invited presentationfor the Military and Veteran Division (MVD) of ASEE at the ASEE 2024 Annual Conference.During Year 3 there has also been one master’s thesis published. These publications andpresentations are described below.4.2.1 Systematically synthesizing the research literature related to SVSM in engineering:Wilkinson, H., Minichiello, A., Shaw, S., & Miles, A. (in preparation). A systematic review ofliterature related to U.S. military veterans and service members in public undergraduateengineering programs in the United States.In this work, the project team is working to expand a systematized narrative literature reviewpublished in 2022 [20] into a full systematic literature based on PRISMA guidelines [26] and
and professional identity: navigating sociocultural expectations in U.S. undergraduate civil engineering programs,” Australas. J. Eng. Educ., vol. 25, no. 1, pp. 79– 89, Jan. 2020.[3] M. J. Grant and A. Booth, “A typology of reviews: an analysis of 14 review types and associated methodologies,” Health Inf. Libr. J., vol. 26, no. 2, pp. 91–108, 2009.[4] B. Fraser, Cognitive disability aesthetics: Visual culture, disability representations, and the (in)visibility of cognitive difference. University of Toronto Press, 2018.[5] S. Wendell, “Unhealthy disabled: Treating chronic illnesses as disabilities,” Hypatia, vol. 16, no. 4, pp. 17–33, 2001.[6] O. Barden and T. Cook, “Learning difficulties: Histories and cultures,” J. Lit
Paper ID #42729Board 317: Institutional Practices to Close the Equity GapEC Cline, University of Washington, Tacoma Associate Professor in Sciences and Mathematics, and Director of ACCESS in STEM, an NSF S-STEM supported program that supports students in natural science, mathematics, and engineering at UW Tacoma.Dr. Heather Dillon, University of Washington Dr. Heather Dillon is Professor and Chair of Mechanical Engineering at the University of Washington Tacoma. Her research team is working on energy efficiency, renewable energy, fundamental heat transfer, and engineering education.Amanda K Sesko, University of
):There's no significant change in the mean scores for Section 2 from the pre-survey (M=4.4899,SD=0.87228) to the post-survey (M=4.4880, SD=0.86049), t(82) = 0.016, p = 0.987. This indicatesthat the intervention did not have a statistically significant impact on the scores for this section.Pair 3 (PreS3 - PostS3):There's also no significant change in Section 3's mean scores from pre (M=4.3317, SD=0.95488)to post (M=4.3673, SD=0.91948), t(82) = -0.269, p = 0.788.Pair 4 (PreS4 - PostS4):No significant change is observed in Section 4's mean scores from pre (M=5.6790, SD=0.56833)to post (M=5.7693, SD=0.67441), t(82) = -0.931, p = 0.355.Pair 5 (PreS5 - PostS5):A slight, but not statistically significant, increase is noted in the mean scores for Section
work that was supported by the National Science Foundation Grant #1915615 titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results,conclusions, or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] F. Ouyang, T. A. Dinh, and W. Xu, “A Systematic Review of AI-Driven Educational Assessment in STEM Education,” J. STEM Educ. Res., vol. 6, pp. 408–426, 2023, doi: 10.1007/s41979-023-00112-x.[2] W. Xu and F. Ouyang, “The application of AI technologies in STEM education : a systematic review from 2011 to 2021,” Int. J. STEM Educ
York University Lindsay Anderberg is the archivist and user services librarian at New York University Tandon School of Engineering in Brooklyn, New York. She received her MSLIS with a concentration in rare books and special collections from Long Island Universityˆa C™s PalMr. Samuel R. Putnam, New York University ©American Society for Engineering Education, 2024 Work in Progress: Exploring the impact of ChatGPT’s Generative AI on Information Seeking Behavior of Engineering StudentsAbstractThe user and application base of generative AI tools has seen tremendous growth over the pastyear. In response, numerous papers have been published evaluating
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
, undergraduate,and/or graduate students (where specified).Table 2 shows the number of studies with participants from each country (where specified).Table 3 shows the count of studies by their method(s) of data gathering. 4.2 Descriptive DataStudies in this dataset describe CSt and their experiences across several dimensions. First,multiple studies have found that CSt are more likely than average to be students of color. [9, 10]Second, one study explored CSt’s time use in depth, finding that CSt with children younger than 6 Figure 2: Number of Articles per Year (note that not all years before 2015 are represented) Figure 3: Student Area of Study Where Specified (note that 33 studies did not specify area) Student Classification
for this [13], [14]. Lemelinet al. discuss how community building can lead to increased student resilience, which can in turnreduce student resistance to active learning [15]. Zumbrunn et al. found that when studentsperceived the classroom environment to be supportive, their in-class engagement increased [16].Moreira et al. demonstrated that community building in the form of events, retreats, and onlinediscussions contributed to the retention and positive career outcomes for students from groupshistorically minoritized in STEM [17]. Active learning can itself contribute to students’ sense ofcommunity, as evidenced by Parrish et al.’s 2021 study which found that team-based learningfurthered students’ sense of community in both online and face
information is stored in bits (0’sand 1’s). In this case, the hamming distance provides a measure of how many bits needs to beflipped to match the two sets of information. For the vocabulary vectors, this means the numberof terms that need to be removed and added. A higher hamming distance will correspond to morechanges in the vocabulary, which is expected to correlate with the amount of learning. A morecontext dependent analysis of the vocabulary vectors could include flagging terms that are highlyrelevant to the interventions and tracking the change in those terms.5 RESULTS This research explored the effectiveness of an educational intervention by measuringimmediate learning outcomes and retention over time among participants who were part
].Diversifying the engineering workforce is not only beneficial for improving the social andeconomic mobility of historically marginalized racial groups, but it is necessary for theinnovation and technological advancements that are hallmarks of the U.S.’s globalcompetitiveness [12]. Identifying practices that effectively support traditionally underrepresentedstudents in engineering education is critical for improving their sense of belonging (both to theprofession and the institution), which can result in improved academic persistence and degreecompletion [13]. Interventions that target students during their first-year of college represent aparticularly salient strategy for broadening participation in engineering, as it is during this timethat students
temperature 2100.034, and 50 0.036BC.2 : meters | respectively. = (T PreliminaryT inf research suggested that a (5) ) preheated degrees higher @r r=surf ace (260 °F) than k s the specified baked temperature.ked once the perature internal
to allow studentsmore personalized paths towards different careers [5]. One critical aspect of a chemical engineering program is course(s) on process/plant design. Processdesign is often treated as the culmination of the undergraduate chemical engineering curriculum. Thiscourse draws on knowledge from previous chemical engineering courses including transport, balances,controls, and more. Students are often reminded of what they learned in previous courses and are firstrequired to pull knowledge from multiple previous courses. This means students are likely to see the in-terconnectivity of the curricula for the first time at the very end of their education. Additionally, processdesign tends to focus on the design of a single process
, and environmental engineering help to providesome of the solutions to the underlying problems associated with bad weather such as resilienttechnologies [35, 36, 37]. Together, engineering and nursing offer a V-shaped solution to a betterfuture which supports the economic success and health of local communities. Students in thecourse are exposed to the additional policy benefit of improving conditions of immigration anddrug trafficking that impact the U.S., which is an example of a systems engineeringconceptualization of sustainable development and life-cycle assessment.MethodsInstitutional context. Founded in 1870 in Rolla, Missouri, the Missouri University of Science andTechnology, or S&T, is a technological research university offering
sustainability, further studies with amore deliberate focus and a larger sample population are necessary.AcknowledgmentThis material is based upon work supported by the EdeX Teaching and Learning Grant atNanyang Technological University (NTU) in Singapore. This work was approved by NTUInstitutional Review Board (reference number IRB-2021-483). Any opinions, findings,conclusions, or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the EdeX program. We would like to acknowledge all theresearchers, data collectors, and students who participated in the study.ReferencesBailey, Thomas R. (1995). Learning to work: Employer involvement in school-to-work transition programs. Washington, D.C
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
interviews to understand the role classroom teachingpractices play in the academic success of engineering students with ADHD. Collectively, thisresearch allows us to explore students’ perceptions of how active learning and lecture-basedclasses influence their classroom experiences, academic adjustment, and sense of belonging.AcknowledgmentsWe would like to acknowledge Cooperative Institutional Research Program (CIRP), the HigherEducation Research Institute (HERI), and the University of California, Los Angeles (UCLA). This research is supported by the U.S. National Science Foundation (2043430). Any opinions,findings, and conclusions, or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of
solving the pressing societal challenges ofthe Anthropocene.MethodsInstitutional context. Located in Rolla, Missouri, the Missouri University of Science andTechnology was founded in 1870 as the Missouri School of Mines. In 2023, a total of more than7,000 students (approximately 1,500 graduate and 5,500 undergraduate) are enrolled inapproximately 100 degree programs. Currently characterized as a Carnegie R2, a doctoraluniversity with high research activity, S&T is home to three colleges. Within the College ofEngineering and Computing, the Department of Civil, Architectural, and EnvironmentalEngineering (or CArE) is one of the largest and most research productive programs on campus.Course description. Fundamentals of Environmental Engineering
, “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
Paper ID #44045Use of Game-Based Learning with ChatGPT to Improve Mathematical ModelingCompetences in First-Year Engineering StudentsDr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey Dr. Gibr´an Sayeg-S´anchez is professor – consultant in the Science Department in Tecnologico de Monterrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems Engineering in Tecnologico de Monterrey (2006). Dr. Sayeg-S´anchez has more than 11 years of experience in teaching statistics, mathematics, and
-first-year engineering programs," in ASEE Southeastern Section Conference, Fairfax, VA, Mar. 2023.[2] R. E. Barr, T. J. Krueger and T. Aanstoos, "Addressing program outcomes in a freshman introduction to engineering course," in ASEE Annual Conference & Exposition, Portland, OR, June 2005.[3] R. Rojas-Oviedo, "Improving retention of undergraduate students in engineering through freshman courses," in ASEE Annual Conference & Exposition, Montreal, Canada, June 2002.[4] S. Edington, C. G. Cameratti-Baeza, R. Knudsen and F. J. Marsik, "Choose your own adventure: Introducing student choice into a first year experience course," in ASEE Virtual Annual Conference Content Access, online, June 2020.[5] O. Pierrakos, M. Alley and
an opportunity to create computer based art. Assessment of learning was through pre- and post-testquestions . A total of eight students were involved in this study; four from middle school (grades 6, 7 and 8)and four from high school (grades 9 to 12).Assembly VLEsTen students interacted with the Assembly VLEs (5 middle school s, 5 high school). Among the middle schoolparticipants, 3 students were able to understand the target assembly concepts in the first round of learninginteractions; two of the students needed an additional round of learning interactions for learning the sameconcepts. Among the high school students, four students were able to demonstrate an understanding of allconcepts after one round of interactive sessions with the VLEs
2011 ASEE Annual Conference & Exposition, Jun. 2011, p. 22.684.1-22.684.21. Accessed: May 07, 2023. [Online]. Available: https://peer.asee.org/exploding-pipelines-mythological- metaphors-structuring-diversity-oriented-engineering-education-research-agendas[4] S. M. Lord, M. W. Ohland, R. A. Layton, and M. M. Camacho, “Beyond pipeline and pathways: Ecosystem metrics,” Journal of Engineering Education, vol. 108, no. 1, pp. 32– 56, 2019, doi: 10.1002/jee.20250.[5] S. Lancaster, Connect! Blink Publishing, 2022.[6] A. L. Pawley, “Universalized Narratives: Patterns in How Faculty Members Define ‘Engineering,’” Journal of Engineering Education, vol. 98, no. 4, pp. 309–319, 2009, doi: 10.1002/j.2168-9830.2009.tb01029.x
credit in the modifiedproblems (Understand, Analyze, and Evaluate). * represents a significant difference at 95%confidence (p < 0.05).ExamThe final exam was comprehensive, consisting of problems on various topics covered over theduration of the semester, including viscous flow in pipes. Since the final exam was scheduled ona different day for each section, the exam problems (all at the Apply level) were different butdesigned to be at a similar difficulty level. The average score of the problem(s) covering thefocused topic was compared and has been shown in Figure 4. There is no significant differencebetween the exam scores of the two student sections. This finding is consistent with the result ofthe formative assessment (Figure 3A). Both
. Frieske, T. Yu, D. Su, Y. Xu, E. Ishii, Y. J. Bang, A. Madotto, and P. Fung, “Survey of hallucination in natural language generation,” ACM Computing Surveys, vol. 55, no. 12, pp. 1–38, 2023. [2] H. Alkaissi and S. I. McFarlane, “Artificial hallucinations in chatgpt: implications in scientific writing,” Cureus, vol. 15, no. 2, 2023. [3] B. McMurtrie, “Teaching: Will chatgpt change the way you teach,” The Chronicle of Higher Education, 2023. [4] J. Rudolph, S. Tan, and S. Tan, “Chatgpt: Bullshit spewer or the end of traditional assessments in higher education?” Journal of Applied Learning and Teaching, vol. 6, no. 1, 2023. [5] B. S. Bloom, M. D. Engelhart, E. Furst, W. H. Hill, and D. R. Krathwohl, “Handbook i: cognitive domain,” New