? b. How do postdocs perceive the program’s relevance and/or effectiveness? c. How do other stakeholders perceive the program’s effectiveness in meeting personal professional goals and/or serving program or institutional needs? 2) Develop and test TRANSPIRE as a Theory of Change: a. How and why does this transdisciplinary dialogic approach support change and help postdocs germinate more impactful research questions? b. What aspects of the program are scalable? c. What challenges were identified in delivering or scaling the program?Pedagogical approach & theoretical underpinningsTRANSPIRE is based on the premise that a matrix of epistemologies, pragmatics, and values
professional development series on faculty conceptions of diversity andinclusion in the classroom?” 15 faculty, across 6 STEM disciplines, and two cohorts, wereinterviewed over the span of two years to discuss, a) their lived experience, b) the professionaldevelopment curriculum, c) its impact on their pedagogical practices and, d) recommendedprogrammatic enhancements. The anticipated research results will show that faculty professionaldevelopment, focused on inclusion, creates more opportunities for meaningful engagement inSTEM between faculty and minoritized students, cultivates a culture of inclusion, and gives facultypractical application and tools that ensures their curriculum is inclusive; thereby, increasingundergraduate degree completion. This
rewarding; it gave me confidence in programming”. Quantitativeanalysis using t-tests and ANOVA will compare performance across groups, while Likert-scalesurveys (see Table 2 in Appendix B) will measure changes in confidence and understanding.Future efforts will implement these methods in additional classes, refine the tools based onstudent feedback, and conduct evaluations to assess their sustained impact on learning outcomesand skill development.References[1] M. Mascaró, A. I. Sacristán, and M. M. Rufino, “Teaching and learning statistics and experimental analysis for environmental science students, through programming activities in R.”[2] L. Fawcett, “Using Interactive Shiny Applications to Facilitate Research-Informed
List[1] T. Swartz, A. Palermo, S. Masur, J. Aberg, “The Science and Value of Diversity: Closing the Gaps in Our Understanding of Inclusion and Diversity,” The Journal of Infectious Diseases, vol. 220, Issue Supplement_2, pp. S33–S41, Sep 2019. https://doi.org/10.1093/infdis/jiz174[2] M. Haddad, T. Jenkins, B. Solivan, A. Williams, “Enhancing Diversity in STEMM,” in Frontiers in Education, Lincoln, Nebraska, vol. 6, 2021. https://www.frontiersin.org/articles/10.3389/feduc.2021.755758 DOI=10.3389/feduc.2021.755758.[3] Whitehouse, “Best Practices for Diversity and Inclusion in STEM Education and Research: A Guide by and for Federal Agencies,” Biden White House Archives. Accessed: Mar. 22
-systems track at ONU to alleviate bottlenecks whilemaintaining academic rigor.MethodsCourse letter grades (A, B, C, D, F, W) were obtained from the University’s InstitutionalResearch office for all courses in the prerequisite chains described above from Fall 2014 to Fall2023. All data collection and analysis procedures were approved by the University’s InstitutionalReview Board prior to the start of this project. ONU does not award +/- grades. During theCOVID-19 pandemic, students were offered a modified pass/fail grading option for the Spring2020 semester. If this option was taken, grades of A-C mapped to “pass” (P), grades of Dmapped to “low pass” (LP), and grades of F mapped to “not passed” (NP). For the purposes ofthis study, LP was counted
to develop a predictive model usinglogistic regression to determine the likelihood of students achieving high ISE scores based ontheir CD scores (Appendix A and B). We chose a one-tailed t-test because our hypothesis wasdirectional, based on prior research and theoretical frameworks suggesting that as cognitivedissonance (CD) decreases, innovation self-efficacy (ISE) increases. This assumption isgrounded in cognitive dissonance theory, which posits that individuals experiencing dissonanceare motivated to resolve it, often leading to cognitive and behavioral adjustments that enhanceconfidence in problem-solving and innovation-related tasks. Given that IBL encourages studentsto navigate uncertainty and adapt to novel challenges, we expected
, veterans andservice members deserve particular attention. Student Veterans and Service Members (SVSM)include those who have served but no longer serve (i.e., military veterans), and those whoconcurrently serve part-time while attending college. One key reason that higher educationpolicies and practices require added scrutiny relates to how SVSM uniquely experience morethan one transitioning identity as they enter college: military service member to civilian veteran,professional or technical expert to student learner, a member of the “military family” culture to a“lone wolf” embedded within an academic culture that is likely (a) uniformed and (b) implicitlyas well as explicitly adverse to who SVSM were/are as military service members
C = 𝑏𝑏 (10)where : 𝑊𝑊𝑝𝑝𝑝𝑝 is payload weight; 𝐹𝐹𝑝𝑝𝑝𝑝 is payload fraction; S is wing area; 𝑊𝑊𝑙𝑙 is wing loading; 𝑊𝑊𝑜𝑜 isthe total weight of the aircraft; AR is aspect ratio; b is wingspan and C is wing chord (width).Design and Development Process The design and development of a micro class aircraft for the SAE competition involvesnumerous system level considerations. All of which are aimed at optimizing the aircraft’sperformance as well as adhering to the competition guidelines. The approach also incorporatesinnovative solutions to enhance educational outcomes. For example, team-based learning activitiesare structured to foster collaboration and communication skills, while regular
goal of improving learning and persistence in undergraduate engineering programs, her current research focuses on (a) generative AI and information literacy for engineering, (b) individualized, first-year persistence interventions, and (c) the effectiveness of evidence-based practices in the engineering classroom. ©American Society for Engineering Education, 2025 The ISP and GenAI Crossroads: A Student Crossroads Between Information Searching and Ethics in Intro to Engineering CoursesAbstract:AbstractAs generative artificial intelligence (GenAI) becomes increasingly integrated intohigher education, there is a growing need to understand its impact on students’information-seeking behaviors
, influencers, and a general roadmap,” New Directions for Student Leadership, vol. 2022, no. 173, pp. 23–31, 2022, doi: 10.1002/yd.20476.[5] T. Kolditz, L. Gill, and R. Brown, Leadership Reckoning: Can Higher Education Develop the Leaders We Need? Monocle Press, 2021.[6] B. J. Novoselich and D. B. Knight, “Measuring a moving target: Techniques for engineering leadership evaluation and assessment,” New Directions for Student Leadership, vol. 2022, no. 173, pp. 63–71, 2022, doi: 10.1002/yd.20480.[7] D. B. Knight and B. J. Novoselich, “Curricular and Co-curricular Influences on Undergraduate Engineering Student Leadership,” Journal of Engineering Education, vol. 106, no. 1, pp. 44–70, 2017, doi: 10.1002/jee.20153.[8] A. Simpson, D
arefull time and paid, and students do not take courses at WIT while they are on co-op. Third- andfourth-year students take full course loads in the summer to replace the semesters they are on co-op, so students graduate after the summer semester of their fourth year. The details of the civilengineering degree program are shown in Appendix B.3.3 Current sustainability efforts at WITCurrently, WIT has two main educational initiatives to address climate change: the Colleges ofthe Fenway (COF) Sustainability Minor and a recently launched bachelor of science degree inClimate Resilience, which is offered through the School of Social Sciences and Humanities.COF Sustainability Minor—The COF offers a Sustainability Minor to students enrolled at any ofthe
passages were recordedand grouped into a priori types, such as conceptual, practical, ethical, procedural, andmathematical knowledge, while allowing for new possibilities [51]. This process yielded severalpassages, which were then given to Claude, the large generative model from Anthropic alongwith the following prompt: You are an expert social science researcher studying computer science textbooks. Given a collection of engineering textbook passages, let’s develop a framework for categorizing them into distinct knowledge types. For each passage, consider: 1) Content characteristics: (a) What is the primary purpose of this passage? (b) What information is being conveyed? (c) How is it being presented? 2) Linguistic
interest (p <0.05), increasing by 0.533 from the start-of- to end-of-semester observations (Figure 2).Figure 2. Average start-of- and end-of-semester interest in ChemE subfields. Interest wasmeasured on a Likert-scale (1 = not at all interested, 2 = slightly interested, 3 = somewhatinterested, 4 = very interested, 5 = extremely interested). Error bars represent a 95% confidenceinterval. PSE was the only subfield with a statistically significant interest change, indicated by *.A one-factor ANOVA with Bonferroni post hoc tests revealed a significant difference inend-of-semester subfield interest, F(4, 235) = 3.89, 𝑝 < 0.01. PSE had significantly moreend-of-semester interest than Biotechnology & Pharmaceutical Engineering (B&PE) (𝑝
contributing to their coursegrade. A passing score for each challenge was predefined and communicated in advance, andteams could earn additional points to improve their grades. Each challenge set was conductedduring a single class period, referred to as a “challenge day.” Examples of specific problems fromeach challenge set can be found in Appendices A, B, and C.In the rest of this paper, we shall refer to these three challenges as Java, Complexity, and BasicADTs respectively.Data CollectionEach challenge set was accompanied by a survey or quiz designed to collect pertinent data. Thesequizzes were administered three times in relation to the challenge day to track student progress.The structure of each quiz mirrored that of the corresponding challenge
turning in answers/work (i.e., initiationto completion). This work completion rate impacted the ability to answer Research Question 1. 2) Implementation Fidelity a) Dosage: The following graph shows the extent to which BOAST students werepresent at afterschool meet-ups. While offered weekly, no BOAST students utilized office hoursacross all three years. Student attendance reduced over time (refer to Figure 2).Figure 2Student Attendance in Afterschool Meet-ups (Year 3) b) Quality of Program Delivery: While students were asked at the end of eachMission about ratings of their instructors in a microsurvey, the response rate was too low toreport results. BOAST students (n = 9) who attended the final field trip instead
, Hackster, IONOS, etc. The circuit diagram was shared as a part ofinstructions and guidelines. A sample circuit diagram is given below.Each team was required to present their projects by demonstrating its function to the class inperson. Each team was also asked to upload a short project report as well as their CAD files asSLDPRT, SLDASM or STEP file formats. The grading rubric on the hands-on portion evaluatedthe following criteria(a) Mechanical Design: Detailed, well-thought-out CAD models; all components (rollers, gears, motor, control panel) are accurately modeled. CAD files submitted in correct formats.(b) Control Panel Design & Layout: Control panel is neatly designed, labeled, and integrated well with the conveyor system or
, P., & Bosse, M. (2011). Are We MissingOpportunities to Encourage Interest in STEM Fields?. Journal of Technology Education, 23(1),32-46.[7] Maltese, A. V., & Tai, R. H. (2011). Pipeline persistence: Examining the association ofeducational experiences with earned degrees in STEM among US students. Scienceeducation, 95(5), 877-907. https://doi.org/10.1002/sce.20441[8] Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theoryof career and academic interest, choice, and performance. Journal of vocational behavior, 45(1),79-122. https://doi.org/10.1006/jvbe.1994.1027[9] Robinson, M., & Kenny, B. (2003). Engineering literacy in high school students. Bulletin ofScience, Technology & Society, 23
graduate students across three programs: (1) Master of Science in EngineeringManagement (MSEM), (2) Master of Science in Management Science (MSMS), and (3) Master ofScience in Systems Engineering (MSSE), spanning the academic years from 2018 to 2023. Grades wereanalyzed using the grading scale employed at the University of Dayton, where A is equivalent to 4.0, A-to 3.7, B+ to 3.3, B to 3.0, B- to 2.7, C to 2.0, and F or W to 0.The curriculum of the University of Dayton's Engineering Management Department offers two keycourses for first-semester graduate students: ENM 500: Probability and Statistics for Engineers and ENM505: Management of Engineering Systems. ENM 500 serves as an introductory course in probability andstatistics, primarily designed
, fosteringcollaboration, and supporting creativity, it equips students with the tools they need to make apositive impact. The lessons learned and frameworks developed here provide a roadmap forinstitutions seeking to cultivate a new generation of engineers who are capable, empathetic, andready to address the challenges of the 21st century.References1. C. B. Zoltowski, W. C. Oakes, and M. E. Cardella, “Students' ways of experiencing human- centered design,” Journal of Engineering Education, vol. 101, no. 1, pp. 28-59, 2012.2. B. Frank, D. S. Strong, and R. Sellens, “The professional spine: Creation of a four-year engineering design and practice sequence,” in 2011 ASEE Annual Conference & Exposition, pp. 22-1489, June 2011.3. K. Lulay, H. Dillon, T. A
machine a part. The first example were two diameters on a turned partwhich needed to be concentric to each other within .002 of an inch, as seen in Figure 5 below.Students were then asked to pick all applicable answers to how the part might be manufacturedto help meet the concentricity requirements; a - use the first 2.000in diameter machined as areference for a second diameter, b - use the same tool and machine both diameters, c- machineboth 2.000in diameters in the same setup, d - does not matter because diameters are on the samecenter axis, or e - all of the above. Answers a and c would be correct, as the concentricity calloutcontrols where the center axis of each diameter is relative to each other, not how the diameters ofeach feature turned
reconsidered: Differentiating homework time, homework frequency, and homework effort," Learning and Instruction, vol. 17, no. 3, pp. 372-388, 2007.[7] S. J. Ressler and T. A. Lenox, "The Time Survey: A Course Development Tool That Works!," in ASEE Annual Conference, Washington, District of Columbia, 1996.[8] Office of Research, "A Preliminary Report on Cadet Utilization of Time," United States Military Academy, West Point, NY, 1966.[9] J. Taylor, "An Analysis of the Relationships Between Homework Frequency and Homework Grading Procedures of Algebra 1 Teachers on Student Outcomes as Measured on the Algebra 1 End-of-Course Examination," 2019.[10] Code of Federal Regulations, National Archives and Records Administration, 2024.[11] B. S
attributes namely, (a) depth of knowledge; (b) range of conflictingrequirements; (c) depth of analysis required; (d) familiarity of issues; (e) extent of applicablecodes; (f) extent of stakeholder involvement and conflicting requirements; and (g)interdependence. Table 2 shows these 7 attributes coupled with characteristics that a problemshould have for it to be properly called CEP. According to IEA, CEP have characteristic WP1and some or all of WP2 to WP7. This means that CEP must exhibit “Depth of KnowledgeRequired” plus at least two or more of the attributes. Otherwise, the kind of problems may fallunder either that being solved by an engineering technologist or engineering technician.Table 2: Attributes of Complex Engineering Problems (CEP) [4
promote higher education access for underrepresented students. Journal of Diversity in Higher Education, 2(1), 1–15. https://doi.org/10.1037/a0014327 20Love, D. (2024). Empowering All Learners: The Transformative Journey Toward Equity- Centered Education. Academy of Educational Leadership Journal, 28(1), 1–7.Martin, F., Oyarzun, B., & Sadaf, A. (2023). Higher Education Instructor Perception of Helpfulness of Inclusive and Equitable Online Teaching Strategies. Online Learning, 27(4), Article 4. https://doi.org/10.24059/olj.v27i4.4019Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative Data Analysis: A
indicates that general engineering courses aim to engage students inauthentic, project-based learning that encourages the active integration of multidisciplinaryknowledge and skills, thereby fostering a range of comprehensive competencies, includinginterdisciplinary thinking in real-world contexts (Chen X. M., 2006). Based on thisunderstanding, we argue that authenticity constitutes the core characteristic of generalengineering courses, which is embodied in the following five dimensions: (a)AuthenticContext: The learning environments created in such courses closely resemble real-worldprofessional settings or work scenarios that students are likely to encounter in their futurecareers. (b)Authentic Process: Students engage with the full spectrum of
Paper ID #47254BOARD # 274: NSF IUSE Project: A Culturally Inclusive Teaching Institutefor STEM Community College & High School FacultyDr. Bernadette Sibuma, Massachusetts Bay Community College Bernadette Sibuma, EdD, is the director of online learning and principal investigator for the STEM Culturally Inclusive Teaching Institute at Massachusetts Bay Community College. She completed a BSc in Educational Psychology from Cornell University, as well as an MA and EdD in Instructional Technology and Media from Teachers College, Columbia University.Jayne Ryczkowski, Massachusetts Bay Community CollegeMeredith Watts
project can be found at AcknowledgementsThis project was supported by NSF ITEST projects #1759421, #1759262, #1759197.References 1. Dillon, E., Gilbert, J., Jackson, J., and Charleston, L. (September 2015). “The State of African-Americans in Computer Science: The Need to Increase Representation,” Computing Research News, 27(8). Retrieved from http://cra.org/crn/2015/09/expanding- the-pipeline-the-state-of-african-americans-in-computer-science-the-need-to-increase- representation/ 2. Ericson, B. (April 10, 2023). “AP CS Data for 2022: Computing for Everyone,” Retrieved August 1, 2023, from https://cs4all.home.blog/2023/04/10/ap-cs-data-for-2022/ 3. , (March 2021). “Engaging Black Female Students in a Year-Long
, “The design of early childhood makerspaces to support positive technological development: Two case studies,” Libr. Hi Tech, vol. 36, no. 1, pp. 75–96, Feb. 2018, doi: 10.1108/LHT-06-2017-0112.[11] M. Petrich, K. Wilkinson, and B. Bevan, “It Looks Like Fun, But Are They Learning?,” in Design, make, play: growing the next generation of STEM innovators, Online-Ausg., New York: Routledge, 2013, p. 21.[12] V. W. Vongkulluksn, A. M. Matewos, G. M. Sinatra, and J. A. Marsh, “Motivational factors in makerspaces: a mixed methods study of elementary school students’ situational interest, self-efficacy, and achievement emotions,” Int. J. STEM Educ., vol. 5, no. 1, p. 43, Dec. 2018, doi: 10.1186/s40594-018-0129-0.[13] M. Bower
Engineering Education (ASEE), “Profiles of engineering and engineering technology, 2021,” Washington, DC, 2022. [Online]. Available: https://ira.asee.org/wp-content/uploads/2022/11/Engineering-and-Engineering-Technology- by-the-Numbers-2021.pdf[4] M. Curran, Q. Bloom, and S. Brint, “Does cluster hiring enhance faculty research output, collaborations, and impact? Results from a national study of U.S. research universities,” Minerva, vol. 58, no. 4, pp. 585–605, Dec. 2020, doi: 10.1007/s11024-020-09408-3.[5] B. A. Montelone, R. A. Dyer, and D. J. Takemoto, “A mentoring program for female and minority faculty members in the sciences and engineering: Effectiveness and status after 9 years,” J Women Minor Scien Eng, vol. 9, no. 3–4, p
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thefollowing questions: 1) What are your top three favorite activities during the camp? You can choose among the main project and the following activities or presentations: a. Substation puzzle and drone inspection b. SHINE on-site demo (solar panel installation) c. Floating wind turbine project d. Overview of solar power by Dominion Energy e. Dominion offshore wind project f. Solar in space I g. Solar in space II h. Virtual reality—offshore wind and solar projects i. Sustainable Connected Community project 2) What aspect of the camp did you enjoy the most? a. Interactive sessions b. Presentations c. Hands-on labs d. Group