from the University of Washington Center for Evaluation & Research for STEMEquity (CERSE, pronounced like the words “SIR”-”see”). We are here with CERSE Director Dr.Liz Litzler, Associate Director Dr. Erin Carll, and thank our collaborator Senior ResearchScientist Dr. Emily Knaphus-Soran who is not able to be here today.40 minutes totalSlide 1-5: 4 minutesSlide 6: (Audience Engagement) 5 minutesSlides 7-11: 4 minutesSlide 12: (Audience Engagement) 5 minutesSlide 13-14: (Audience Engagement) 10 minutes DIYSlide 15: Takeaways – 1-2 minutesSlide 16: 10 minutes final Q&A 1 Topics for Today Why use logic models? What are the components of a
and Audio Signal Processing. Wiley, 2000.[5] E. Petajan, “Automatic lipreading to enhance speech recognition,” in IEEE Conference on Communications, 1984.[6] J. Smith and M. Johnson, “Visual speech recognition in education: Opportunities and challenges,” Journal of Educational Technology & Society, vol. 13, no. 3, pp. 45–59, 2010.[7] G. Hinton et al., “Deep neural networks for acoustic modeling in speech recognition,” IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 82–97, 2012.[8] W. Chan, N. Jaitly, Q. Le, and O. Vinyals, “Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,” in Proceedings of the IEEE Conference on Acoustic Speech and Signal Processing, 2016.[9] J. S
students is only 32%.The program tried to contact the students after graduation and 38 students responded. Out ofthese 38 scholarship recipient students graduated, all of them are Employed in their professionalfield or entered Graduate school upon graduation, 100% success.3.4. Analysis of Student SurveyThe students’ self-evaluation or assessment can be taken as another instrument to measure theeffect of the scholarships and academic supports provided through this NSF grant on the studentsuccess, retention, and graduation. For this reason, a student survey was conducted among 33NSF scholarship recipient students, and a partial list of survey questions are shown in Table 3.Table 3. Partial list of Questionnaire from Student Survey. Q# Student
Technology, 58(1), 504-509. https://doi.org/10.1002/pra2.487[2] Dai, Y., Chai, C. S., Lin, P., Jong, M. S., Guo, Y., & Jian-jun, Q. (2020). Promoting students’well-being by developing their readiness for the artificial intelligence age. Sustainability, 12(16),6597. https://doi.org/10.3390/su12166597[3] Chiu, T. K. F. and Chai, C. S. (2020). Sustainable curriculum planning for artificialintelligence education: a self-determination theory perspective. Sustainability, 12(14), 5568.https://doi.org/10.3390/su12145568[4] Cavanagh, T. B., Chen, B., Lahcen, R. A. M., & Paradiso, J. (2020). Constructing a designframework and pedagogical approach for adaptive learning in higher education: a practitioner'sperspective. The International Review of
Paper ID #37522Understanding the Impact of an LSAMP Scholar ProgramDr. Yang Lydia Yang, Kansas State University Yang Lydia Yang is an Associate Professor of Quantitative Research Methodology at College of Educa- tion, Kansas State University. She received her Ph.D. in Curriculum & Instruction from Florida Inter- national University. Her research interest include quantitative educational research design and statistical analyses, Q methodology, and recruitment and retention in STEM fields.Dr. Brenee King, Kansas State UniversityDr. Amy Rachel Betz, Kansas State University Dr. Amy Betz is the Assistant Dean for Retention
, culturally relevant/ sustaining workshop designs. Author 1, had to rely onthe high school mentors’ knowledge and input because they are experts and participants in youthculture. Author 2 “To provide a more comfortable and safe environment for participants to share their ideas and thoughts, we told them all their ideas would be [anonymized post-workshop], and we don’t judge any ideas, we just share and learn. To encourage them to express more, we use a storytelling session instead of the traditional Q&A session to learn about participants’ background experiences with AI/ML and their attitude/perspective of teaching AI/ML. That was a successful attempt. Participants shared more
teacher’s belief system about science teaching and learning,” J. Res. Sci. Teach., vol. 40, no. 9, pp. 835–868, 2003, doi:10.1002/tea.10113.[21] P. N. Johnson-Laird, “Mental models and human reasoning,” Proc. Natl. Acad. Sci. U. S. A., vol. 107, no. 43, pp. 18243–18250, 2010, doi:10.1073/pnas.1012933107.[22] W. B. Rouse and N. M. Morris, “On looking into the black box: Prospects and limits in the search for mental models,” Psychol. Bull., vol. 100, no. 3, pp. 349–363, 1985, [Online]. Available: http://scholar.google.com/scholar?q=related:QM4p5zGC8jMJ:scholar.google.com/&hl=e n&num=30&as_sdt=0,5.[23] K. Carley and M. Palmquist, “Extracting, representing, and analyzing mental models,” Soc
," Quinnipiac Chronicle, 13 February 2018. [Online]. Available: https://quchronicle.com/61954/news/girls-who-code- extends-program-to-university/.[16] Q. Today, "Inspiring the future generation of female coders," Quinnipiac Today, March 2022. [Online]. Available: https://www.qu.edu/quinnipiac-today/inspiring-the-future- generation-of-female-coders-2022-03-08/.[17] J. M. Blaney and J. G. Stout, "Examining the Relationship between Introductory Computing Course Experiences, Self-Efficacy, and Belonging among First-Generation College Women," in 48th SIGCSE Technical Symposium on Computer Science Education, Seattle. WA, USA, 2017.
.” Accessed: Feb. 07, 2024. [Online]. Available: https://ieeexplore-ieee-org.proxy.library.vanderbilt.edu/document/7344065[4] J. M. Bystydzienski, M. Eisenhart, and M. Bruning, “High School Is Not Too Late: Developing Girls’ Interest and Engagement in Engineering Careers,” Career Dev. Q., vol. 63, no. 1, pp. 88–95, 2015, doi: 10.1002/j.2161-0045.2015.00097.x.[5] J. Rodriguez, S. Butt, and T. Fredericks, “Pre-college activities to promote positive perception of Engineering and Engineering Technology Careers,” 2014 International Conference on Interactive Collaborative Learning (ICL), Dec. 2014. doi:10.1109/icl.2014.7017858[6] A. R. Carberry, M. Dalal, and O. Emiola-Owolabi, “Understanding the Anchors Associated with
offering additional optionalworkshops because of the variance in TA duties across the college, but this would requireadditional staff and logistics that are a direction for future growth in this area.The required NEO workshops are Introductions, Implicit Bias, Grading and Feedback, EngagingStudents, Navigating Challenges, Presentation Skills, and a Q&A session with experienced TAs.Attendance and engagement in training workshops give TAs an opportunity to understandapplied learning and share meaningful experiences [11]. Approximately 180 TAs participate inNEO each year; it is offered every semester to all first-time teaching assistants in the College ofEngineering (80% of overall participants) while the other 20% come from the College
Environments of Research to Practices in Engineering Education. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-6). IEEE. 9. Aqlan, F., & Nwokeji, J. C. (2018, October). Applying product manufacturing techniques to teach data analytics in industrial engineering: a project based learning experience. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-7). IEEE. © American Society for Engineering Education, 202410. Bonfert-Taylor, P., Ray, L., Pauls, S., Loeb, L., Sankey, L., Busch, J., & Hickey, T. (2022, August). Infusing Data Science into the Undergraduate STEM Curriculum. In 2022 ASEE Annual Conference & Exposition.11. Greer, T., Hao, Q., Jing, M., & Barnes, B
quantcrit to gifted education research: an introduction,” Gifted Child Quarterly, vol. 67, no. 1, pp. 80–89, Jan. 2023, doi: 10.1177/00169862221116636.[24] L. R. Bergman and K. Trost, “The Person-Oriented Versus the Variable-Oriented Approach: Are They Complementary, Opposites, or Exploring Different Worlds?,” Merrill Palmer Q., vol. 52, no. 3, pp. 601–632, 2006, doi: 10.1353/mpq.2006.0023.[25] M. C. Howard and M. E. Hoffman, “Variable-Centered, Person-Centered, and Person- Specific Approaches,” Organizational Research Methods, vol. 21, no. 4, p. 109442811774402, Dec. 2017, doi: 10.1177/1094428117744021.
, M. Heagney, and L. Thomas, “Improving Student Retention in Higher Education: Improving Teaching and Learning,” Australian Universities’ Review, vol. 51, no. 2, pp. 9–18, 2009.[25] T. D. Nguyen, J. W. Kramer, and B. J. Evans, “The Effects of Grant Aid on Student Persistence and Degree Attainment: A Systematic Review and Meta-Analysis of the Causal Evidence,” Review of Educational Research, vol. 89, no. 6, pp. 831–874, Dec. 2019, doi: 10.3102/0034654319877156.[26] Li, C. Q. (2021). Teaching Mechatronics to Non-traditional Mechanical Engineering Students-An Adaptive Approach. International Journal of Engineering Pedagogy, 11(3).e[27] Turner, P. E., Johnston, E., Kebritchi, M., Evans, S., & Heflich, D. A. (2018
various aspects of a system. We thus performed a content analysison the data sources, grouping evidence of participant sentiment into the relevant component of themodel in order to determine how participants perceive the recent changes to the law.Results1. Policies In some cases, HEFS had factually incorrect perceptions of the new policies. Forexample, one person registered for the webinar but then contacted the organizers to explain whythey would not be participating: upon reading some of the resources that the facilitators hadshared with participants in preparation for the first webinar, they learned that their institution – amilitary academy – was not subject to the recent SCOTUS ruling. Another participant noted that“For now, reading the Q
three consecutive days. The three sub-topics are 1) AssetManagement Overview and Lifecycle Cost, 2) Asset Maintenance and Reliability, and 3)Managing Aging Assets. Each day, the course was held for two sessions with a break in between.The morning session comprised lectures, an hour of industry expert speaking session, and 15minutes of Q&A. The afternoon session was reserved for student evaluations and study caseactivities on the topics learned in the morning. The themes covered in the course are not often partof Bachelor’s-degree curricula, especially at electrical engineering schools. The aim of these topicswas to advance the students’ creativity and their ability to evaluate engineering problems and,accordingly, employ innovative decision
personalized learning. Rand Corporation (2015).[6] Campbell, J. P., DeBlois, P. B. & Oblinger, D. G. Academic analytics: A new tool for a newera. EDUCAUSE review 42, 40 (2007).[7] Okubo, F., Yamashita, T., Shimada, A. & Ogata, H. A neural network approach for students’performance prediction, 598–599 (2017).[8] Pan, S. J. & Yang, Q. A survey on transfer learning. IEEE Transactions on knowledge anddata engineering 22, 1345–1359 (2009).[9] John, B. Brain, mind, experience, and school. How people learn (2000).[10] Shute, V. J. Focus on formative feedback. Review of educational research 78, 153–189(2008).[11] Devlin, J. Bert: Pre-training of deep bidirectional transformers for language understanding.arXiv preprint arXiv:1810.04805 (2018).[12
TO ENTER THE CORRECT SIGN (HEAT ADDED=positive, HEAT REMOVED=negative) • Shell/Tube exchanger water-side duty, btu/hr • Fin-Fan exchanger water-side duty, btu/hr • Jacketed exchanger water-side duty, btu/hr • Reservoir Tank water-side duty, btu/hr • Uninsulated piping/equipment water-side duty, btu/hrShell/Tube exchanger • The duty of this exchanger adheres to the standard heat transfer equation • Q = Uo * Ao * ΔTlm ; where ΔTlm is the log mean temperature difference, F The total exchanger outside tube area, Ao, is 50.25 ft2 • What is the ΔTlm, F? • What is the overall heat transfer coefficient, Uo, btu/hr-ft2-F?Figure 3b. Part 2 of questions based on given data and Figure 2.Similar to the
Reference list[1] United States Census Bureau, 2020 Census. Data Table. Available: https://data.census.gov/table/ACSDP5Y2020.DP05?q=race+demographics+2020.[Accessed August 26, 2024][2] National Center for Science and Engineering Statistics (NCSES), Diversity and STEM: Women, Minorities, and Persons with Disabilities 2023. SpecialReport NSF 23-315. Alexandria, VA, 2023. [E-book] Available: https://ncses.nsf.gov/wmpd. [Accessed August 26, 2024][3] Alba, R., & Nee, V. (2003). Remaking the American mainstream: Assimilation and contemporary immigration (1st ed.). Harvard University Press.https://doi.org/10.4159/9780674020115[4] Lee, J., & Bean, F. D. (2010). The diversity paradox: Immigration and the color line in 21st century America (1st ed
US,” Reuters, Aug. 19, 2023. Accessed: Aug. 21, 2024. [Online]. Available: https://www.reuters.com/graphics/USA-HEALTHCARE/TRANS-BILLS/zgvorreyapd/ [18] S. G. Horne, M. McGinley, N. Yel, and M. R. Maroney, “The stench of bathroom bills and anti-transgender legislation: Anxiety and depression among transgender, nonbinary, and cisgender LGBQ people during a state referendum,” J. Couns. Psychol., vol. 69, no. 1, pp. 1–13, 2022, doi: 10.1037/cou0000558. [19] A. Haverkamp, “The Complexity of Nonbinary Gender Inclusion in Engineering Culture,” 2018. doi: 10.18260/1-2--31084. [20] A. Haverkamp, A. Butler, N. Pelzl, M. Bothwell, D. Montfort, and Q.-L. Driskill, “Exploring Transgender and Gender Nonconforming Engineering Undergraduate Experiences
, and not make teaching itselfa form of transgression (a negative one).CoNECD Presentation Page 19 of 22 THANK YOU!CoNECD Presentation Page 20 of 22 REFERENCES Bishara, S. (2023). Humor, motivation and achievements in mathematics in students with learning disabilities. Cogent Education, 10(1), 1–16. Calabrese Barton, A., & Tan, E. (2019). Designing for Rightful Presence in STEM: The Role of Making Present Practices. Journal of the Learning Sciences, 28(4–5), 616–658. Cobb, P., Zhao, Q., & Dean, C. (2009). Conducting design experiments to support teachers' learning: A reflection from the field. The Journal of the Learning
writing and communication; and methodological development. ©American Society for Engineering Education, 2025Slide 1 Introducing a Virtual Dashboard to Benchmark and Monitor Engineering Graduate Degree Retention Trends at Penn State Dr. Enrique Gomez, Interim Assoc. Dean for Equity and Inclusion, Penn State University Dr. Catherine Berdanier, Assoc. Prof. of Mechanical Engineering, Penn State UniversityNote: Target is 2 minutes per slide plus time for Q&ASlide 2 Literature shows differences
. PublicAffairs, 2021.[7] K. Beck, White feminism: from the suffragettes to influencers and who they leave behind. New York: Simon & Schuster, Inc., 2021.[8] K. W. Crenshaw, “Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics.,” University of Chicago Legal Forum, pp. 139–167, 1989.[9] K. W. Crenshaw, “Mapping the margins: intersectionality, identity politics, and violence against women of color,” Stanford Law Rev., pp. 93–118, Feb. 1991.[10] B. Moradi, M. C. Parent, A. S. Weis, S. Ouch, and K. L. Broad, “Mapping the Travels of Intersectionality Scholarship: A Citation Network Analysis,” Psychol. Women. Q., vol. 44
. Seaton, “Studying Learning in the Worldwide Classroom Research into edX’s First MOOC.,” Res. Pract. Assess., vol. 8, pp. 13–25, 2013.[6] A. McAuley, B. Stewart, G. Siemens, and D. Cormier, “THE MOOC MODEL FOR DIGITAL PRACTICE:”.[7] T. R. Liyanagunawardena, A. A. Adams, and S. A. Williams, “MOOCs: A systematic study of the published literature 2008-2012,” Int. Rev. Res. Open Distrib. Learn., vol. 14, no. 3, p. 202, Jul. 2013, doi: 10.19173/irrodl.v14i3.1455.[8] R. Legon, “MOOCs and the Quality Question,” 2013.[9] L. Wiest, “Effective Online Instruction in Higher Education,” Q. Rev. Distance Educ., vol. 13, pp. 11–14, Jan. 2012.[10] J. R. Drake, M. T. O’Hara, and E. Seeman, “Five Principles for MOOC Design: With a Case Study
pathways and the options theyhave.Students indicated that speaking with engineering entrepreneurs provided them with moreknowledge of and confidence in the industry. Students from underrepresented groups and first-generation students in engineering may have had fewer opportunities to discuss compensationand negotiating strategies. However, students reflected on learning how to ask for their worthand discuss these important leadership and career strategies in their surveys. One student shared, This week's Q&A session with engineers who are also entrepreneurs. I was able to hear how our speakers have dealt with not knowing how to confidently name their prices. I feel that as people of color, it is a challenge for us to assign
beginning of each event. • Emphasize the participation of HUG students: We put a line in the registration form stating that “This program is designed for HUG students. If you don’t identify as HUG, we kindly ask you to quietly observe, refrain from asking questions, and not take up space during the event.” • Implementing an online anonymous comment tool: From the experiences of the first two panel events, we found that HUG students favored asking questions and providing feedback anonymously instead of raising their hands in front of audiences. Thus, we included the interactive Q&A online tool, allowing attendees to ask questions anonymously. • Discuss HUG students’ challenges in pursuing a research career
response. 𝑝𝑝: 𝑝𝑝 value of a Mann Whitney U-testcomparing pre- and post-survey distributions. Bias: Noting if the result was significant betweenpre- and post-survey responses and that the distribution does not appear to have acquiescencebias. 3.a. Responses from Hispanic/Latino(a) Population Pre-survey Response Post-survey Response Q. Mode Med. 𝜎𝜎 𝑓𝑓 Skew Mode Med. 𝜎𝜎 𝑓𝑓 Skew 𝑝𝑝 Bias 1 4 4 1.14 0.48 -1.23 5 5 0.80 0.65 -2.06 0.004 Yes 2 1 2 1.19 0.13 0.45 1 1 1.41 0.54 1.32 0.314 3 5 5 0.67 0.83 -3.27 5 5 0.32 0.88 -2.48 0.526 4 4
analytic memos; naming and operationalizing emergent codes; extractingdominant themes; and producing the final report in the form of the present research paper. Whilea full discussion of the methods outlined by Braun &Clarke (2006) is beyond the scope of thepresent work, see Ruiz et al. (2021) for more detail regarding the analysis approaches used here.In generating codes, we examined student responses for recurring or common themes. Wefocused on allowing themes to emerge from the development of initial, open codes that wouldeventually cluster around broader themes. For example, we noted in the following passagethemes related to both safety and structural engineering. [Q]uestions such as trusses that we have been working on recently