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. (1970). The servant as leader. Indianapolis, IN: The Greenleaf Center for Servant Leadership. 2. McClellan, Jeffrey L. (2013). Contributing to the development of student leadership through academic advising. Journal of Leadership Education, 12(1), 207-233. 3. Darroch, B. (2023). The impact of COVID-19 on student engagement in STEM disciplines: A critical analysis. Journal of Higher Education, 94(1), 112-138. 4. Douglas, H. M., Settles, I. H., Cech, E. A., Montgomery, G. M., Nadolsky, L. R., Hawkins, A. K., Ma, G., Davis, T. M., Elliott, K. C., Cheruvelil, K. S., & Grundy, Q. (2022). Disproportionate impacts of COVID-19 on marginalized and minoritized early- career academic scientists. PloS One, 17(9
received full-time employment offers after graduation. Additionally, four otherUTRGV students have received internship offers for the summer of 2025, and eight new studentsare being hired to join in Fall 2025.REFERENCES[1] S Hurtado, K Eagan, T Figueroa, B Hughes. Reversing Underrepresentation: The Impact ofUndergraduate Research Programs on Enrollment in STEM Graduate Programs. Los Angeles:Higher Education Research Institute, 2014.[2] Petrella, John K and Alan P Jung. “Undergraduate Research: Importance, Benefits, andChallenges” International journal of exercise science vol. 1,3 91-95. 15 Jul. 2008.[3] Carter, F. D., Mandell, M., & Maton, K. I. (2009). The Influence of On-Campus, AcademicYear Undergraduate Research on STEM Ph. D. Outcomes
retaining autistic talent in STEMM,” iScience, vol. 27, no. 3, p. 109080, Mar. 2024.[6] A. Cuellar, B. Webster, S. Solanki, C. Spence, and M. Tsugawa, “Examination of Ableist Educational Systems and Structures that Limit Access to Engineering Education through Narratives,” in 2022 ASEE Annual Conference & Exposition, peer.asee.org, 2022. [Online]. Available: https://peer.asee.org/41800.pdf[7] A. Cuellar, S. Principato, S. Solanki, C. Spence, and M. Tsugawa, “Work in Progress: Transferability of a Neurodivergent Codebook Developed from TikTok to Neurodivergent Engineers,” in 2023 ASEE Annual Conference & Exposition Proceedings, ASEE Conferences, 2024. doi: 10.18260/1-2--44378.[8] C. C. Wang and S. K. Geale
? (i.e., why did you do it this way? How would you have responded if xyz happened instead today?) 8. What class content was particularly interesting/engaging? 9. Other comments or questions.References [1] Resources for teaching evaluation guides. https://tinyurl.com/5ah3ehc3, 2021. Accessed on June 3, 2024. [2] American Sociological Association. Statement on student evaluations of teaching. www. asanet.org/studentevaluations, 2020. Accessed on February 9, 2025. [3] T. C. Andrews, P. Brickman, E. L. Dolan, and P. P. Lemons. Every tool in the toolbox: Pursuing multilevel institutional change in the DeLTA project. Change: The Magazine of Higher Learning, 53(2):25–32, 2021. [4] O. R. Arag´ on, E. S. Pietri, and B. A. Powell
. Thesurvey included 15 statements with response options of one. These questions measuredinnovation self-efficacy (ISE) using the Very Brief Innovation Self-Efficacy scale, innovationinterest (INI) using the Innovation Interests scale, and innovative work goals using the CareerGoals: Innovative Work scale (IW), all out of 7 points (adapted from [7] and [8]). The end of thesurvey prompted students to identify their gender identity, race/ethnicity, and whether or not theyidentified as Neurodivergent (ND). If the students answered either Yes or Maybe ND, they wereasked to list which type(s) of ND they identified with. 6 consenting students identified as YesND, 5 as Maybe ND, and 25 as NT.Overall, there were 37 students who consented to participate in
, 2025The State of the Practice Integrating Security in ABET Accredited ComputerScience ProgramsAbstract:Within the computing fields, concerns related to security continue to grow. Since the early2000’s, cyberattacks against deployed software systems have grown significantly. In 2017,recognizing this concern, a modification to the program accreditation criteria for computingprograms was proposed and accepted which explicitly required topical coverage of securityaccredited programs. Since taking effect in 2019, all accredited computing programs have had todemonstrate proper coverage of the topic as part of the accreditation process. While the criteriarequire that the topic of security be covered, the implementation is left open to individualprograms
or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. We would like to express gratitude to the research groups whoparticipated in this study and for their willingness to open their meetings to us and providefeedback on the initial drafts of this paper. Finally, we would like to thank the members of theENLITE research team who gave feedback on the drafts of this paper.References[1] Van den Beemt, A., M. MacLeod, J. Van der Veen, A. Van de Ven, S. Van Baalen, R. Klaassen, and M. Boon, “Interdisciplinary engineering education: A review of vision, teaching, and support,” Journal of engineering education, vol. 109, no. 3, pp. 508-555
approaches, faculty development programs, and targetedsupport for First-Generation College Students. Future research should investigate specific pointsof attrition, including transfer patterns, and explore how institutional factors like curriculumdesign and advising can be leveraged to enhance student success. Diversifying STEM pathwaysand supporting underrepresented students are crucial for cultivating a skilled workforce.References[1] J. M. Braxton, W. R. Doyle, H. V. Hartley, A. S. Hirschy, W. A. Jones, and M. K. McLendon,Rethinking College Student Retention. [Online]. Available: http://ci.nii.ac.jp/ncid/BB17394375[2] S. Robbins, J. L. Bloom, and W. R. Habley, Increasing Persistence: Research-BasedStrategies for College Student Success. 2012.[3
materialare those of the author and do not necessarily reflect the views of NASA.References[1] A. T. Jeffers, A. G. Safferman, and S. I. Safferman, “Understanding K–12 Engineering Outreach Programs,” J. Prof. Issues Eng. Educ. Pract., vol. 130, no. 2, pp. 95–108, Apr. 2004, doi: 10.1061/(ASCE)1052-3928(2004)130:2(95). 6[2] L. M. Ihrig, E. Lane, D. Mahatmya, and S. G. Assouline, “STEM Excellence and Leadership Program: Increasing the Level of STEM Challenge and Engagement for High-Achieving Students in Economically Disadvantaged Rural Communities,” J. Educ. Gift., vol. 41, no. 1, pp. 24–42, Mar. 2018, doi: 10.1177/0162353217745158.[3
inelectrical engineering through altruism at the middle school level,” in 2013 IEEE GlobalHumanitarian Technology Conference (GHTC), 2013, pp. 108–111.[6] D. McGreevy, S. Hoops, and B. Morris, "Tending to the K-12 Talent Pipeline," inPES T&D 2012, 2012, pp. 1-2.[7] J. Naukkarinen, K. Korpinen, and P. Silventoinen, “Upper secondary schoolstudents’ gendered interests in electronics and electrical engineering,” Research inScience & Technological Education, vol. 41, pp. 1412–1432, 2023.[8] M. Estrada, A. Woodcock, P. R. Hernandez, and P. W. Schultz, "Toward a Modelof Social Influence that Explains Minority Student Integration into the ScientificCommunity," Journal of Educational Psychology, vol. 103, no. 1, pp. 206-222, Feb.2011, doi
explanations, opinion, judgment, etc Ind Individual thinking/problem solving. CG Discuss clicker question in groups of 2 or more students WG Working in groups on worksheet activity OG Other assigned group activity, such as responding to instructor question Prd Making a prediction about the outcome of demo or experiment SP Presentation by student(s) TQ Test or quiz W Waiting O Other – explain in comments Instructor is Doing Lec Lecturing RtW Real-time writing on board, doc. projector, etc. Fup Follow-up/feedback on clicker question or activity to entire class PQ Posing non-clicker question to students (non-rhetorical) CQ Asking a clicker question AnQ
rate for computer science students,”ACM SIGCSE Bulletin, vol. 37, no. 2, pp. 103–106, Jun. 2005, doi: 10.1145/1083431.1083474.[6] K. J. Bunker, L. E. Brown, L. J. Bohmann, G. L. Hein, N. Onder, and R. R. Rebb,“Perceptions and influencers affecting engineering and computer science student persistence,” in2013 IEEE Frontiers in Education Conference (FIE), 2013, pp. 1138–1144.[7] B. Burd et al., “The internet of things in undergraduate computer and information scienceeducation: Exploring curricula and pedagogy,” Jul. 2018. doi:https://doi.org/10.1145/3293881.3295784.[8] M. Felleisen, R. B. Findler, M. Flatt, and S. Krishnamurthi, “The structure and interpretationof the computer science curriculum,” Journal of Functional Programming, vol. 14, no
-line course structure? 15. Do you consider yourself skilled enough in computer literacy to succeed in an on-line environment? 16. Did you encounter technical problems due to the on-line environment?References[1] M. Abdous and M. Yoshimura, "Learner outcomes and satisfaction: A comparison of live video-streamed instruction, satellite broadcast instruction, and face-to-face instruction," Computers & education, vol. 55, no. 2, pp. 733-741, 2010.[2] J. M. Allen and F. Vahid, "Experiences in Developing a Robust Popular Online CS1 Course for the Past 7 Years," in ASEE Annual Conference, 2020.[3] S. F. Shady, "Approaches to teaching a biomaterials
degrees, either completing multiple degrees atHBCUs or only attaining their undergraduate degree at an HBCU before attending a differenttype of institution for graduate studies. As Crewe [3] further notes, depending on the institutionthat awarded the graduate degree(s), recognition of success may be framed around the alumni’snon-HBCU campus environments rather than how one’s undergraduate HBCU campusexperiences helped lay the foundation for academic achievement. Such narratives areproblematic and speak to the need to further highlight the critical and supportive role HBCUsplay in producing Black STEM professionals. Additionally, there remains a critical gap in theliterature that details the graduate school decision-making process for HBCU
78 Urban Geography Match 2 Mentee Black Male 36 Mechanical Engineering Mentor White Male 69 Mechanical Engineering Match 3 Mentee Black Male 38 Chemical and Biomolecular Engineering Mentor White Male 74 Biomedical, Chemical, and Biomolecular Engineering Match 4 Mentee Black Male 31 Mechanical Engineering Mentor White Male 84 Mechanical Engineering Match 5 Mentee Black Male 35 Mechanical Engineering Mentor S. Asian Male 73 Mechanical Engineering Match 6 Mentee Black Male 54 Manufacturing Engineering Technology Mentor White Male 76 Manufacturing
., “Engineering by the numbers,” American Society for Engineering Education, Washington D.C., 2017.[4] M. F. Fox, “Institutional Transformation and the Advancement of Women Faculty: The Case of Academic Science and Engineering,” in Higher Education, J. C. Smart, Ed. Springer Netherlands, 2008, pp. 73–103.[5] D. Bilimoria, S. Joy, and X. Liang, “Breaking barriers and creating inclusiveness: Lessons of organizational transformation to advance women faculty in academic science and engineering,” Hum. Resour. Manage., vol. 47, no. 3, pp. 423–441, Sep. 2008, doi: 10.1002/hrm.20225.[6] S. R. Bird, “Unsettling Universities’ Incongruous, Gendered Bureaucratic Structures: A Case-study Approach,” Gender, Work & Organization
, is beingundertaken in order to provide an `inside out` view of their experience. These interviews will allow usto tell many stories – perhaps more importantly, a story that details the many different things we aredoing in order to produce sustainable change for our many constituents.References[1] C. Hill, C. Corbett, and A. St. Rose, Why So Few? Women in Science, Technology, Engineering, and Mathematics. Washington, D. C.: American Association of University Women (AAUW), 2010.[2] S. Ceci, W. Williams, and S. Barnett, “Women’s Underrepresentation in Science: Sociocultural and Biological Considerations,” Psychol. Bull., vol. 135, no. 2, pp. 218–261, 2009.[3] J. Hyde, S. Lindberg, M. Linn, and C. Williams, “Gender Similarities
. Surveyresponse data was converted to a 100-point scale such that a response of all 3’s would yield anormalized score of 100% and a response of all 1’s would yield a normalized score of 0% asfollows: 𝑀𝑒𝑎𝑛𝑆𝑢𝑟𝑣𝑒𝑦𝑅𝑒𝑠𝑝𝑜𝑛𝑠𝑒 − 1 𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑑𝑆𝑢𝑟𝑣𝑒𝑦𝑆𝑐𝑜𝑟𝑒 = (100%) 2 100% KS0 KS1 Exam 1 KS2 Exam 2 90% 80% 70%Score (Percent) 60% 50% 40
. Students were going to 6th grade (40.2%), 7th grade (31.5%), 8th grade (28.3%) duringthe summer. Additionally, the researchers randomly selected one or two students from eachgroup/table in camp 1 to 4. A total of 22 students presented their groups/tables to conduct in-depth interviews with us on the last day of each camp. Of the 22 interviewees, six were fromcamp 1, seven were from camp 2, five were from camp 3, and four were from camp 4. Allstudents and their guardians were required to sign consent letters.Instruments The instrument used in this study was the Middle/High School Student Attitudes towardSTEM (S-STEM) survey. This instrument was a useful tool in the evaluations of the university’soutreach projects and K-12 STEM initiative [46
traditionalstudents to leave school in their first year; 1) much less likely to earn a degree within five years;2) far more likely to have leave school without returning than their traditional counterparts.Why we need to examine nontraditional student experiences in STEM In the United States, STEM education at all levels remains a significant national priority basedupon concerns ranging from global competitiveness, national security, 21st century workforceneeds, and equal access. In 2018, U.S. science and engineering (S&E) bachelor’s degreescomprised only 10% of the global total, while India and China together produced almost half ofthe world’s S&E bachelor degrees during the same time period. The U.S. demand for graduateswith STEM degrees continues
objective function based on the KPIs and assigned weight (importance) to each criterion. We used twoseparate Likert scales with scores between 1 to 10 to determine the weights and assess the performancelevel, respectively, of each criterion through teacher surveys. We conducted the surveys at the end of eachweek (iteration), determined the objective function value, analyzed the outcomes, and took necessaryactions to enhance the objective function value in the next iteration(s). Here, the objective function valuecomputed in an iteration indicates the overall performance of that iteration. For the selected KPIs, weights,and scales, the maximum possible objective function value was 1,200. We assume that the objectivefunction value is the targeted
al., [11]) is Pulakos et al.’s taxonomy, which includes: solving problemscreatively; dealing with uncertain or unpredictable work situations; learning new worktasks/technology/procedures; interpersonal adaptability; cultural adaptability; physically-orientedadaptability; handling workplace stress; and handling emergencies/crisis situations [34]. There isno published instrument associated with this taxonomy; those authors taking it up have createdprocedures and instruments based on their own operationalization of the dimensions. Notably,this taxonomy focuses explicitly on observed behaviors, rather than on the metacognitive orcognitive skills and abilities identified in the rest of the literature, as being central to adaptiveexpertise, making
advising quality) 12 Connection and sense of belonging to college Literature review 13 Opportunity to be independent Focus group Negative outcomes Participation in out-of-class activities does not always lead to positive outcomes. The review ofliteratures revealed that there are a number of unintended consequences or negative outcomesassociated with students’ involvement in out-of-class activities. Further, the researchers foundthat there are a number of factors that act as barriers to students from getting involved in certainout-of-class activities. To the best of our knowledge, no such survey(s) exist that assess studentson those negative
beunderstood or experienced [9]. The interpreter of the phenomenon is the participant, not theresearcher. In order to solicit a variety of experiences and to allow all relevant voices to be heard[10] , a highly varied sampling of participants is necessary. With a well-designed semi-structuredinterview, the participant can unveil the environment, the products, and the processes of theirprofessional experiences. The creation of hierarchical categories as part of the analysis mayuncover the development of mastery of the skill(s) under investigation. While there has been work that shows a one-axis increase of awareness or mastery of acertain phenomenon, there is an increasing use of phenomenography where the results oroutcomes are expressed in
N. Cristianini, "Automating News Content Analysis: An Application to Gender Bias and Readability," 2010.[6] D. Citron and F. Pasquale, "The Scored Society: Due Process for Automated Predictions," Faculty Scholarship, 1 1 2014.[7] T. Bolukbasi, K.-W. Chang, J. Zou, V. Saligrama and A. Kalai, "Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings," in Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings, 2016.[8] S. Leavy, "Gender bias in artificial intelligence: The need for diversity and gender theory in machine learning," in Proceedings - International Conference on Software Engineering, 2018.[9] "Global Gender Gap
Thinking,” in Early Engineering Learning, L. English and T. Moore, Eds., in Early Mathematics Learning and Development. , Singapore: Springer, 2018, pp. 9–18. doi: 10.1007/978-981-10-8621-2_2.[2] National Academies of Sciences, Engineering, and Medicine, Science and Engineering in Preschool Through Elementary Grades: The Brilliance of Children and the Strengths of Educators. Washington, DC: The National Academies Press, 2021. Accessed: Dec. 02, 2022. [Online]. Available: https://doi.org/10.17226/26215[3] C. N. Lippard, M. H. Lamm, and K. L. Riley, “Engineering Thinking in Prekindergarten Children: A Systematic Literature Review,” J. Eng. Educ., vol. 106, no. 3, pp. 454–474, 2017, doi: 10.1002/jee.20174.[4] Z. S. Gold, J