]. • Honoring the language(s) and cultural practices of minoritized communities, recognizing how racialized ideologies shape engineering education [21]. Curriculum and students • Fostering cultural competencies and social justice through culturally responsive engineering curriculum [22], [23]. • Link between social and technical aspects [24] - [26]. Learning • Learning centered in students’ funds of knowledge Profession and education • Expanding pathways into engineering Broader issues, the • Contextualizing the work in
inattentive responders. The finalanalytical sample included 834 students. Participant gender identity, race/ethnicity, nationality,sexual identity, and disability status are reported in Table 1. Participants self-identified theirdemographics by selecting from categorical response options including write-in text options. Thesample is predominantly men (65%), and white (66%), which reflects the general populationcharacteristics among contemporary U. S. engineering undergraduates. Most participantsidentified as heterosexual/straight (88%) with 9% identifying as asexual, bisexual, gay, lesbian,pansexual, queer, or another sexual identity. Students reported a range of disabilities, withpsychological conditions predominating at 13% of the sample.Table 1
in educationalresearch on a broad scale.AcknowledgementsThe authors would like to gratefully acknowledge the National Science Foundation for theirpartial support of this work (DUE grant number 1504618). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References[1] National Center for Education Statistics. (2020). The SAGE Encyclopedia of Higher Education. https://doi.org/10.4135/9781529714395.n400[2] M. Parry (2012). " Supersizing" the College Classroom: How One Instructor Teaches 2,670 Students. Chronicle of Higher Education.[3] M. Soledad, J. Grohs, S. Bhaduri, J. Doggett, J. Williams, and S
% 60% 40% 18% 15% 20% 0% CIT 12000 CIT 21400 Agree Neither agree or disagree Table 7: Perceptions of Mentees towards Mentoring CIT 12000 CIT 21400 The mentors gave me the sense that s/he and I The mentors modeled how to overcome challenges shared similarities in the background. and reach personal goals. The mentors helped me explore resources to The mentors showed me how to treat failed succeed academically. attempts as a
participants to expand upon previousanswers and provide additional insights into their relationships with their advisor(s). Thequestions are included in Table 3 in Appendix A.The survey was reviewed by a group of graduate students outside of the participant pool acrossmultiple institutions and by our grant’s external advisory board. The survey was revised based onfeedback to improve clarity and ensure the appropriateness of selected subscales. Once responsesto the recommendations from the external feedback sources were implemented, the final surveywas administered via Qualtrics and was made available to participants for four weeks. Theresearchers’ Institutional Review Boards approved this study (HUM00230743, #23-901).ParticipantsThe survey was
- Revised (SLQ- R) Sherman, D. K., 2021 Frontiers in Doctoral USA Perceived Adapted Zimet et al. (1988) Ortosky, L., Psychology students Social support Leong, S., Kello, C., & Hegarty, M. (2021) Smith, A. B., 2021 Nurse education Doctoral USA Collaboration DevelopedUmberfield, E., today students of LeadershipGranner, J. R., and Innovation Harris, M., in MentoringLiestenfeltz, B
design in mid-curricula engineering sciences courses.References[1] A. Rugarcia, R. M. Felder, D. R. Woods, and J. E. Stice, “The future of engineering education: Part 1. A vision for a new century,” Chem Eng Educ, vol. 34, no. 1, pp. 16–25, 2000.[2] J. Trapani and K. Hale, “Higher Education in Science and Engineering. Science & Engineering Indicators 2022. NSB-2022-3.,” National Science Foundation, 2022.[3] T. Litzinger, L. R. Lattuca, R. Hadgraft, and W. Newstetter, “Engineering education and the development of expertise,” Journal of Engineering Education, vol. 100, no. 1, pp. 123–150, 2011.[4] E. Crawley, J. Malmqvist, S. Ostlund, D. Brodeur, and K. Edstrom, “Rethinking engineering education
] International Engineering Alliance, "Graduate Attributes and Professional Competencies," Jun. 21, 2021. Accessed: Oct. 14, 2021. [Online]. Available: https://www.ieagreements.org/assets/Uploads/IEA-Graduate-Attributesand-Professional- Competencies-2021.1-Sept-2021.pdf[2] D. H. Jonassen, Learning to solve problems: A handbook for designing problem-solving learning environments. Routledge, 2010.[3] S. Sheppard, K. Macatangay, A. Colby, W. M. Sullivan, and L. S. Shulman, Educating engineers: Designing for the future of the field, 1st ed. San Francisco, CA, USA: Jossey-Bass, 2009.[4] H. S. Lee, A. Pallant, S. Pryputniewicz, T. Lord, M. Mulholland, and O. L. Liu, "Automated text scoring and real‐time adjustable
theappropriateness of the feedback and manage the emotions (or affect) that comes withreceiving negative or constructive feedback. Carless and Boud argue that achieving thesethree feedback literacy competencies maximise the chances that a student will actually learnfrom feedback and take action.While there have been attempts to build on this model in the feedback literacy space, such asChong’s Ecological Perspective [7] and Wongvorachan et al.’s digital feedback literacymodel [8], these models have not become as ubiquitous as the original feedback literacymodel. An investigation of these models find that they tend to take the original feedbackliteracy model in its entirety and add additional dimensions and information too it (see Figure2). These dimensions
in the accommodations processStudents were asked about positive and negative experiences, and supportive or unsupportiveactions. Participants then had the opportunity to describe these experiences. Around 140 studentsresponded to questions about their experiences. 40 students described having a positiveexperience, while 67 students reported not having positive experiences in the accommodationsprocess. 22 students reported having negative experiences, while 104 students reported nothaving negative experiences in the accommodations process. These results are summarized intables 2-3.Table 2. Student positive experience(s) Theme n Example comments Emotional 23 “[Saying] I am there for you, take
, & A. W. Harrist (Eds.), Authoritative parenting: Synthesizing nurturance and discipline for optimal child development (pp. 11–34). American Psychological Association.Baumrind, D. (1996). The discipline controversy revisited. Family Relations, 45(4), 405-414. Bayati, N. (2023). Exploring Parental Factors That Influence Female Students STEM Major Choice: A Phenomenological Study Exploring Female STEM Students’ Experiences. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard university press. Chown, S. M. (1957). The formation of occupational choice among grammar school pupils. Thesis Ph. D., Liverpool University. Denson, C
to explain the effect of filtering in the frequency domain orwhen explaining the causes of frequency and phase distor�ons, I have no�ced that the studentslack the understanding of what are the results of the Fourier analysis and how to relate thoseresults to the amplitudes and frequencies of the harmonics cons�tu�ng the �me-domain signalanalyzed by the Fourier series/transform. As such, I have spent �me explaining these concepts,and by now, the students understand the term “frequency spectrum” or “spectrum.” However,the students s�ll do not know how to prac�cally generate the frequency spectrum of real data oruse the straigh�orward spectral analysis tools in MATLAB. 3. THE SPECTRAL ANALYSIS MODULEThis module is added a�er the ADC lecture. The
thecamp.AcknowledgmentThe research team is very thankful for the support of the Texas Education Service Center ofRegion 20, the Charlotte Independent School District, and the USS Department of Agriculture.This research was supported by the intramural research program of the USS Department ofAgriculture, National Institute of Food and Agriculture, Women and Minorities in STEMProgram, award #: 2022-38503-37903. The findings and conclusions in this preliminarypublication have not been formally disseminated by the U. S. Department of Agriculture, andshould not be construed to represent any agency determination or policy.Reference[1] E. J. Haller and S. J. Virkler, "Another Look at Rural-Nonrural Differences in Students' Educational Aspirations," 1993.[2] M. S
Proceedings, 2018.[2] H. Xiao et al., “Are we in crisis? National mental health and treatment trends in college counseling centers,” Psychol Serv, vol. 14, no. 4, pp. 407–415, Nov. 2017, doi: 10.1037/ser0000130.[3] S. A. Wilson and J. H. Hammer, “Faculty Experiences with Undergraduate Engineering Student Mental Health,” In 2021 ASEE Virtual Annual Conference Content Access, 2021.[4] I. Jurewicz, “Mental health in young adults and adolescents-supporting general physicians to provide holistic care,” Clinical Medicine, vol. 15, no. 2, pp. 151–155, 2015.[5] C. J. Wright, S. A. Wilson, J. H. Hammer, L. E. Hargis, M. E. Miller, and E. L. Usher, “Mental health in undergraduate engineering students: Identifying facilitators
development of cross-disciplinary activities, and the significant reach to thousands of students highlight the transformative po-tential of integrating computing concepts into the broader curriculum. This approach not only enhanceseducators’ abilities to teach computer science but also prepares students for high-demand STEM careersby exposing them to advanced topics in a non-elitist, accessible manner.Works CitedBasu, S., A. Dickes, J. S. Kinnebrew, P. Sengupta, and G. Biswas. 2013. “CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling”Berland, L. K., and B. J. Reiser. 2011. “Classroom communities' adaptations of the practice of scientific argumentation”Blikstein, P. 2013. “Digital fabrication and ‘making
. Second, we were challenged by the requirement that we must focus on educationalresearch, rather than the practical concerns of improving the “student professional formationexperience,” such as, for example, improving and expanding course offerings, student successstrategies, and transfer policies. We were, however, fortunate enough to have one of the Co-PIsfrom our partner university who was trained as an engineering education researcher through anNSF Research Initiation in Engineer Formation (RIEF) grant and had experience working onresearch on an S-STEM grant. She now serves as the primary engineering education researcheron the RED project, in conjunction with expert advice on research methodology and analysisfrom one of the consultants for
intervention. By leveraging these findings, educators, policymakers, and industrystakeholders can work collaboratively to strengthen the talent pipeline and drive innovation inthe semiconductor sector.References[1] A. Deichler, “Help Wanted: Manufacturing Sector Struggles to Fill Jobs,” SHRM, Jun. 2021,accessed: 2023-7-6. [Online]. Available: https://www.shrm.org/topics-tools/news/talent-acquisition/help-wanted-manufacturing-sector-struggles-to-fill-jobs[2] S. Alam, “Addressing the talent gap,” Accenture, Feb. 2023, accessed: 2023-6-30. [Online].Available: https://www.accenture.com/us-en/insightsnew/high-tech/semi-talent-shortage[3] C. Richard, K. Ramachandran, and I. Pandoy, Deloitte, “Looming Talent Gap ChallengesSemiconductor Industry,” Semi.org
-ended survey responses to further analyize faculty viewsand how they align with quantitative data. These perspectives provide a starting point fordeveloping authentic learning goals for K-12 students.References[1] Mason, C., Twomey, J., Wright, D., & Whitman, L. (2018). Predicting engineering student attrition risk using a probabilistic neural network and comparing results with a backpropagation neural network and logistic regression. Research in Higher Education, 59, 382–400.[2] Uddin, M., & Johnson, K. (2019). Faculty learning from the advisors for students’ retention and persistence to graduation. 2019 Conference for Industry and Education Collaboration[3] Guzey, S. S., Ring-Whalen, E. A
/jee.20048.[5] O. Rompelman, “Assessment of student learning: Evolution of objectives in engineeringeducation and the consequences for assessment,” European Journal of Engineering Education,25(4), 2000, pp. 339-350.[6] R.M. Felder and B.A. Soloman, “Learning styles and strategies,” 2000[7] J. Ventura, “Applying EC 2000 criteria to engineering programs,” In 2003 AnnualConference, Proceedings of the 2003 American Society for Engineering EducationAnnual Conference & Exposition, June 2003, pp. 8-230.[8] T.M. Chowdhury, S. Bhaduri and H. Murzi, “Understanding the development of teamworkcompetency to comprehend the transformation in systems engineering discipline,” In 2021 ASEEVirtual Annual Conference Content Access. July 2021.[9] D.L. Evans
it just leaves people feeling really upset. And so then if you do commit, block off some time, however long you think it'll take you, maybe an hour, maybe two. And then, whatever you have done in that time, just send it, right? Like, I feel like people are so worried about like, "Oh, I'm either going to do it great or not going to do it at all."Overall, these results cover various supportive measures and align well with instrumental andpsychosocial mentoring functions [21]. They also provide important insights into how juniorengineering faculty’s mentoring perceptions and experiences can be shaped by the actions takenby their mentor(s), especially those related to establishing open communication and
by National Science Foundation Experiential Learning for Emergingand Novel Technologies (ExLENT), Award No. ITE- 2322532. References:1. Teaching Critical Skills in Robotic Automation: iR-Vision 2D Course in Robotic Vision Development and Implementation, A. Sergeyev, S. Parmar, N. Alaraje, Technology Interface International Journal, 013-T-16, V17, #2, p. 13, 2017.2. Robotics and Automation Professional Development Workshop for Faculty, A. Sergeyev, N. Alaraje, Technology Interface International Journal, V17, #1, p.99, 2016.3. University, Community College and Industry Partnership: Revamping Robotics Education to Meet 21st Century Workforce Needs, A. Sergeyev, N. Alaraje, S. Kuhl
theyare more capable of performing a task. In this vein, constructive feedback plays a crucial role indeveloping strong self-efficacy beliefs. The fourth source of self-efficacy beliefs is emotionalarousal. Emotional arousal, that happens during challenging situations, can also help peopleinform themselves of their expectations of self-efficacy. High levels of emotional arousal canhamper an individual’s performance by increasing anxiety and stress.3. Research Question(s)This type of research, called sequential explanatory mixed-methods research, is practical in itsapproach. The research questions play a crucial role in guiding and shaping the entire process,including choosing the research design, determining the sample size, and selecting
to continue with the work as part of theirpractice. This may relate to the fact that it was done “in situ” with examples from their ownspaces with their peers. As noted by Borko et al. [37] and Seidel et al., [38], in situ has morepotential to motivate and promote change in instruction and learning.AcknowledgementsThis material is based upon work supported by the National Science Foundation under [grantnumber 2005927] (Binghamton University) and [grant number 2005860] (Indiana University).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] P. S. Lottero-Perdue, “Elementary student reflections
regarding the eligibility of ChatGPT as an author [31], [32]. These ethicalconcerns play a valuable role by offering opportunities to steer the implementation of GAI inethically responsible ways.Research Questions a) What are students’ and instructors’ perceived literacy of GAI (e.g. knowledge, skills, and abilities)? b) How do students and instructors experience the usefulness and effectiveness of GAI in their course(s)?Theoretical FrameworkThere are many theoretical lenses that one can consider when investigating the experiences ofstudents and instructors using GAI. This paper is primarily interested in the participant literacyregarding GAI and their perceived usefulness and effectiveness of the technology. To explorethis, we
Enhance Learning and Teaching (TFLET),” University of Missouri System, [Task Force Report]., Jun. 2021.[3] S. D. Brookfield, “Using the lenses of critically reflective teaching in the community college classroom,” New Directions for Community Colleges, vol. 118, pp. 31–38, 2002, doi: 10.1002/cc.61.[4] A. R. Brown, C. Morning, and C. Watkins, “Influence of African American engineering student perceptions of campus climate on graduation rates,” Journal of Engineering Education, vol. 94, no. 2, pp. 263–271, 2005.[5] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, “Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom,” Proceedings of the National
student learning outcomes and promotethe adoption of modern pedagogy and methodologies for knowledge transfer and retentionassessment. The authors hope the proposed framework will be useful for others seeking to improvetheir curricula and enhance student learning.References[1] “The Integrated Postsecondary Education Data System.” Accessed: Apr. 13, 2023. [Online].Available: https://nces.ed.gov/ipeds/use-the-data[2] “ACCE | Accreditation for Construction Education.” Accessed: Feb. 07, 2024. [Online].Available: https://www.acce-hq.org/[3] “Home - ABET.” Accessed: Feb. 07, 2024. [Online]. Available: https://www.abet.org/[4] V. B. Salakhova, L. V Shukshina, N. V Belyakova, A. V Kidinov, N. S. Morozova, and N. VOsipova, “The Problems of the COVID-19
freehand tab was used to jog the robot joints. The import library was used toimport a tool to attach to the robot. A table was imported for the tool to operate on. Targets wereset on the four corners of the table. A path was created between the four corners and. A path can betaught instructions by manually jogging joints. When the path between the four corners wasdefined, the robot was made to move along the path. This was simulated at different speeds of 200,400, 600, 800, and 1000 mm/s and the cycle time to go along the path was recorded. The cycle timedecreased as speed increased. This decrease was the steepest from 200 to 400 mm/s and keptgetting less and less steep.The experiment demonstrated how RobotStudio can be used to mimic the function
. Ballen, C. Wieman, S. Salehi, J. B. Searle, and K. R. Zamudio, “Enhancing Diversity inUndergraduate Science: Self-Efficacy Drives Performance Gains with Active Learning,” LSE,vol. 16, no. 4, p. ar56, Dec. 2017, doi: 10.1187/cbe.16-12-0344.[3] K. Ellis, “The impact of perceived teacher confirmation on receiver apprehension,motivation, and learning,” Communication Education, vol. 53, no. 1, p. 2, Jan. 2004, doi:10.1080/0363452032000135742.[4] S. Freeman et al., “Active learning increases student performance in science, engineering,and mathematics,” Proc. Natl. Acad. Sci. U.S.A., vol. 111, no. 23, pp. 8410–8415, Jun. 2014, doi:10.1073/pnas.1319030111.[5] A. Skulmowski and G. D. Rey, “Embodied learning: introducing a taxonomy based on
26, 2024].[6] “14 Grand Challenges for Engineering in the 21st Century.” National Academy of Engineering (NAE) Grand Challenges for Engineering, 2024. [Online]. Available: https://www.engineeringchallenges.org/challenges.aspx. [Accessed March 26, 2024].[7] S. B. Parry, "Just what is a competency? (And why should you care?)," Training, vol. 35, (6), pp. 58-64, 1998. [Online]. Available: http://proxy.library.tamu.edu/login?url=https://www.proquest.com/trade-journals/just-what- is-competency-why-should-you-care/docview/203387096/se-2.[8] H. E. Nejad, H., “A systematized literature review: Defining and developing engineering competencies.” in ASEE Annual Conference & Exposition 2017, Columbus, Ohio, USA, June 25-28, 2017