Office of the Provost and Vice President for Academic Affairs, as well asthe office of the Vice Provost for Research and by the School of Engineering and ComputerScience at Oakland University.References 1. About the AERIM REU program, retrieved from http://me-reu.secs.oakland.edu 2. L. Guessous, Q. Zou, B. Sangeorzan, J.D. Schall, G. Barber, L. Yang, M. Latcha, A. Alkidas and X. Wang, "Engaging Underrepresented Undergraduates in Engineering through a Hands-on Automotive-themed REU Program," Paper # IMECE2013-62111, ASME 2013 International Mechanical Engineering Congress and Exposition, San Diego, CA, November 2013. 3. L. Guessous, Q. Zou, B. Sangeorzan, L. Smith, L. Yang, X. Wang, J.D. Schall, G. Barber and M
ideas to fit what ATE will supportDay 0 Evening Assignment: Each college should appoint a spokesperson and prepare aone minute introduction of your team and your project for tomorrow morning.Day 1Monday, July 15, 20196:30-8:00AM Breakfast at hotel8:15 -8:30AM Bus pickup at hotel9:00 – 9:10AM Welcome9:10 – 9:30AM Introduction of Colleges9:30-10:00 Session 1: ATE Basics (brief session 30 minutes including Q&A) Components of ATE proposal Head’s up about submission process, Fastlane, grants.gov, research.gov What PIs and grants offices will have to do between now and submission day10:00-10:45AM Session 2: Rationale (45 minutes) Brief presentation on importance of rationale (10
classroom,” Proceedings of the ASEE AnnualConference, 2003.14 Everett, L. J. and Villa, E. Q., “Assessment results of multi-intelligence methods used in dynamics,” Proceedingsof the ASEE Annual Conference, 2006.15 Everett, L. J. and Villa, E. Q., “Increasing success in dynamics course through multi-intelligence methods andpeer facilitation,” Proceedings of the ASEE Annual Conference, 2005.16 Bransford, J. D., Brown, A. L., and Cocking, R., editors. How People Learn: Brain, Mind, Experience, andSchool (Expanded Edition). National Academies Press, 2000.17 Kypuros, J. A. and Tarawneh, C., “Multimodal Modules for Non-Calculus-Based Engineering MechanicsCurriculum,” Proceedings of the Frontiers in Education Conference, 2008.18 Kypuros, J
, “Technical Communication Instruction in Engineering Schools: A Survey of Top- Ranked U.S. and Canadian Programs,” J. Bus. Tech. Commun., vol. 18, no. 4, pp. 452–490, 2004.[5] J. Y. Yoritomo et al., “Examining engineering writing instruction at a large research university through the lens of writing studies,” Proc. 2018 ASEE Conf. Expo., pp. 1–22, 2018.[6] J. R. Gallagher et al., “A collaborative longitudinal design for supporting writing pedagogies of STEM faculty,” Tech. Commun. Q., vol. 29, no. 4, pp. 411–426, Oct. 2020, doi: 10.1080/10572252.2020.1713405.[7] J. Monroe, Ed., Local knowledges, local practices: Writing in the disciplines at Cornell. Pittsburgh, PA: University of Pittsburgh Press, 2006.[8] J. Monroe, “Writing and
thermally equilibrate by being surrounded by an c-, col-, I, what I assume is a colder surrounding. So I would assume that there is, um, a heat transfer, a negative heat transfer. And, yeah, those are the two things. […] Uh, so as I said earlier, heat transfer is um negative because you have, heat, um, there's, there's, there's transfer of heat from the system to the surroundings. Yeah. And uh, so, that's Q-. Boundary work is positive, so that would, that would be negative, positive W equals Delta-U and K-E and P-E are negligible in this problem, so that would be that. Um, which would be negative Q minus W will always be a negative value.” A
, 2006.[2] X. Tang, Y. Yin, Q. Lin, R. Hadad, and X. Zhai, “Assessing computational thinking: A systematic review of empirical studies,” Comput. Educ., vol. 148, no. January, p. 103798, 2020.[3] H. Shoaib and S. P. Brophy, “A systematic literature-based perspective towards learning and pedagogy of computational thinking,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2020-June, 2020.[4] P. J. Denning, “Computational Thinking in Science,” Best Writ. Math. 2018, pp. 67–77, 2019.[5] D. Weintrop et al., “Defining computational thinking for mathematics and science classrooms,” J. Sci. Educ. Technol., vol. 25, no. 1, pp. 127–147, 2016.[6] K. Brennan and M. Resnick, “New frameworks for studying and
ch id pr po lr rc gu al h u nd of ar g ta n ea c q hy
providing thetextbook copies used in our laboratory experiment and for his support of the project.References1 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012), p.Paper 4437.2 B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank,“Teaching linear circuit analysis techniques with computers,” in Proceedings of the 2013 American Society for
thank Don Fowley of John Wiley & Sons, Inc. for supportingthe project.References[1] K. VanLehn, "The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems," Educat. Psychologist, vol. 46, pp. 197-221, 2011.[2] C. D. Whitlatch, Q. Wang, and B. J. Skromme, "Automated problem and solution generation software for computer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society for Engineering Education Annual Conference & Exposition. Washington, D.C.: Amer. Soc. Engrg. Educat., 2012, pp. Paper 4437.[3] B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank
, and other tutoringsystems,” Educat. Psychologist 46, 197 (2011).2 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012),Session M356.3 B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank,“Teaching linear circuit analysis techniques with computers,” in Proceedings of the 2013 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2013),paper 7940.4 B. J
-year assessment of the preparation of students for global workforces,” presented at the 2016 ASEE Annual Conference & Exposition, 2016.[7] K. Maul, K. A. Davis, N. P. Sanderlin, and D. B. Knight, “Faculty Perspectives on how to Reimagine International Research for Students in a Virtual World,” presented at the 2022 IEEE Frontiers in Education Conference (FIE), 2022, pp. 1–7.[8] M. Q. Patton, “Qualitative research and evaluation methods. Thousand Oaks,” Cal Sage Publ., vol. 4, 2002.[9] J. Saldaña, “The coding manual for qualitative researchers,” Coding Man. Qual. Res., pp. 1– 440, 2021.
targetingHS counselors in Prince William and Loudoun counties, where most data centers are located, 2)emphasizing hands-on or active participation, 3) encouraging building professional networks.Table 1 provides an overview of the externship. Component Description Micron Technologies Tour Tour of advanced chip manufacturer Micron Technologies, In-person, 4 hours including clean room, power & electric, and water systems. Tour concludes with a Q&A from Micron recruiters and educational coordinators. Stack Infrastructure Tour Tour of boutique data center Stack Infrastructure, with an In-person, 4 hours
, pp. 17–33.[6] S. T. Fiske, “Controlling other people: The impact of power on stereotyping,” American Psychologist, vol. 48, no. 6, pp. 621–628, 1993.[7] E. A. Patall et al., “Student autonomy and course value: The unique and cumulative roles of various teacher practices,” Motiv. and Emotion, vol. 37, no. 1, pp. 14–32, Mar. 2013.[8] K. E. Barron and C. S. Hulleman, “Expectancy-value-cost model of motivation,” in International Encyclopedia of the Social and Behavioral Sciences, J. D. Wright, Ed. Amsterdam: Elsevier Ltd., 2015, pp. 503–509.[9] E. Q. Rosenzweig, A. Wigfield, and J. S. Eccles, “Expectancy-value theory and its relevance for student motivation and learning,” in The Cambridge Handbook of
changing postdoc and key predictors of satisfaction with professional training. Studies in Graduate and Postdoctoral Education, 11(1), 123-142. https://10.1108/sgpe-06-2019-0055Yadav, A., Seals, C. D., Soto-Sullivan, C. M., Lachney, M., Clark, Q., Dixon., K. G., & Smith, M. J. T. (2020). The forgotten scholar: Underrepresented minority postdoc experiences in STEM fields. Educational Studies, 56(2), 160-185. https://doi.org/10.1080/00131946.2019.1702552
developed for the CWTSU Project has notchanged.One of the most significant improvements to the WTE Online Training has been incorporation ofteam-building activities via a required Team Development Checklist and a Team OrientationCall—half of which is devoted to how the group will function as a team in the training. Forexample, what strengths each member will contribute; how teams will resolve conflict; and thenuts and bolts of critical logistics such as who will submit assignments, who will collectenrollment and completion data for targeted STEM courses, and when and where (in-person oronline) teams will meet each week.Schools were asked about participating as a team during the first Q&A call in the OnlineTraining and in the post-training
STEM (TUES) Type 2 program- DUE Award Nos 1323719 and 1323190.References1. Klotz,L.,etal.,Sustainabilityasaroutetobroadeningparticipationinengineering.Journalof EngineeringEducation,2014.103(1):p.137-153.2. Bilec,M.M.,etal.UpdatingtheBenchmarkSustainableEngineeringEducationReport-Trendsfrom 2005to2010.inAmericanSocietyforEngineeringEducation.2011.AmericanSocietyforEngineering Education.3. Zhang,Q.,etal.Challengesforintegrationofsustainabilityintoengineeringeducation.inAmerican SocietyforEngineeringEducation.2012.AmericanSocietyforEngineeringEducation.4. Fogarty,R.,TenWaystoIntegrateCurriculum.EducationalLeadership,1991.October1991.5. Davidson,C.I.,etal
% believe it encouragesdeeper understanding. Q The majority also perceived improvements in students’ effectivenessin working in small groups, their communication skills, and positive peer-to-peer relationships.The greatest obstacle to adopting POGIL was time (both preparation time and classroom timerequired). 71% believed that a closer community (e.g. face-to-face meetings with mentors orcolleagues) would be somewhat, very, or extremely helpful to new POGIL adopters, and forregular users of POGIL this percentage increases to 87%. [16]IntroCS-POGIL Objectives & ActivitiesThe 2017 NSF IUSE IntroCS-POGIL project focuses on introductory courses because they:enroll the most students (across STEM majors) and have the biggest impact on retention
… 6.16 1 2 3 4 5 6 7 Figure 7. 7 Portable PLC P kit in thee classroom and Opinionn Survey Ressults.When annswering the evaluation question q “Th he most helppful thing aboout this teacching tool haasbeen:” a common theeme is that sttudents feel that Portable PLC helpss them to vissualize how tthePLC worrks and to tesst their progrrams10.Conclusiion and Futture Directio onsEvaluatioon results suuggest that th he Portable PLC
culture of science education at research universities; Science 331:152-153. Available at http://www.physics.emory.edu/Faculty/weeks/journal/anderson-sci11.pdf.2. Angelo. T. (1999). Doing academic development as though we valued learning most: transformative guidelines from research and practice; HERDSA Annual International Conference, Melbourne, p 1-11. Available at http://www.herdsa.org.au/wp-content/uploads/conference/1999/pdf/Angelo.PDF.3. Barab, S. and M. Thomas. (2001). Online learning: from information dissemination to fostering collaboration; J. Interactive Learning Res.12: 105-143. Available at http://scholar.googleusercontent.com/scholar?q=cache:z38SW2yk6aEJ:scholar.google.com/+barab+online+lear
of D), failed (grade of F), or withdrew (either with a gradeof Q for students remaining at the institution, or W for students leaving the institution) in aneffort to understand how their performance in computational thinking affected their careertrajectories. In addition, we are also completing the longitudinal study of computational thinkingdevelopment in our student cohorts.IntroductionDuring the last period, the major achievements of this project were the validation of theEngineering Computational Thinking Diagnostic (ECTD) and its dissemination. The validationof the instrument afforded the opportunity to identify its predictive characteristics, strengtheningour rationale that this diagnostic can be a powerful tool in assessing entry
outcomeswere measured as dispositions, including interest, aspiration, motivation, confidence, and self-efficacy. A smaller number of studies also assessed knowledge in specific STEM careers.Overall, a small to moderate level of positive effect was observed (effect size mean = 0.379, SE= 0.064, 95%CI = 0.252 – 0.505, p < .001), with significant heterogeneity (Q (167) = 2418.355,p < .001), suggesting the need to explore potential moderator variables.Intervention characteristics revealed that 58% targeted underrepresented and/or underservedpopulations, 41% included explicit career development, and interdisciplinary content wascommon. Additionally, 56% of studies took place in informal settings. The study also consideredintervention format
; Exposition Proceedings, Atlanta, Georgia: ASEE Conferences, Jun. 2013, p. 23.973.1-23.973.16. doi: 10.18260/1-2--22358.[11] O. García and J. A. Kleifgen, “Translanguaging and Literacies,” Read. Res. Q., vol. 55, no. 4, pp. 553–571, Oct. 2020, doi: 10.1002/rrq.286.[12] O. García and T. Kleyn, Eds., Translanguaging with multilingual students: learning from classroom moments. New York ; London: Routledge, Taylor & Francis Group, 2016.[13] O. García and L. Wei, Translanguaging. London: Palgrave Macmillan UK, 2014. doi: 10.1057/9781137385765.[14] O. García and T. Kleyn, “A TRANSLANGUAGING EDUCATIONAL PROJECT,” in Translanguaging with Multilingual Students, 1st ed., Routledge, 2016, p. 21.[15] O. García and T. Kleyn
office, the project team hasidentified the set of available institutional data, developed an inventory of existing academic datasets and dashboards, and explored similar tools developed at other universities (e.g., IndianaUniversity Bloomington, University of California Davis, University of Kansas).During Year 1, over 80 Questions and “I Wonders” (QWs) were developed through the DataTools Co-Design and Inquiry in STEM Success Faculty Communities sessions (prompted byreading papers and national reports on student success and retention in STEM) and visit to ameeting of the STEM department chairs. Members of the Data Tools Co-Design FC categorizedthe generated Q&Ws according to data category, when faculty would use the information, andwhy a
reflect the views of the National ScienceFoundation.References:[1] Q. Zhu and B. K. Jesiek,“A pragmatic approach to ethical decision-making in engineering practice: Characteristics, evaluation criteria, and implications for instruction and assessment,” Science and Engineering Ethics, vol. 23, no. 3, pp. 663-679, 2017.[2] D. Bairaktarova and A. Woodcock,“Engineering ethics education: Aligning practice and outcomes,” IEEE Communications Magazine, pp. 18-22, 2015.[3] D. Bairaktarova and A. Woodcock, "Engineering Student’s Ethical Awareness and Behavior: A New Motivational Model," Science and Engineering Ethics, pp. 1-29, 2016.[4] B. E. Barry and M. W. Ohland, "Applied ethics in the engineering, health, business
Process Improvement. Four out of thefive panelists were female engineers to showcase the existing opportunities in the field as well astheir experiences working in healthcare.The workshop consisted of welcoming remarks, an ice-breaker exercise, panelists’ presentationsand Q&A session, and a case study. The ice-breaker exercise allowed participants to get to knoweach other while learning about the healthcare industry and statistics associated with the project(e.g., the low percentage of bachelor’s degree in Engineering earned by women in the U.S., thehigh percentage of women in the health sciences, and the high incidence of female engineers whoquit their jobs within 3 years or never enter the field).The panelists then presented their
stem. CBE Life Sciences Education, 15(3), 1–. https://doi.org/10.1187/cbe.16-01-0038Freeman, R., Huang, W. (2014) Collaboration: Strength in diversity. Nature 513(305). https://doi.org/10.1038/513305aMiller, P. H., Rosser, S.V., Benigno, J.P., Zieseniss, M. (2000). A desire to help others:goals of high achieving female science undergraduates. Women Stud Q, 28(1–2), 128–142.National Science Foundation. (2024). Diversity and STEM: Women, Minorities, and Persons with Disabilities. U.S. National Science Foundation. https://ncses.nsf.gov/pubs/nsf23315/faqsOgbogu, U., & Ahmed, N. (2022). Ethical, legal, and social implications (ELSI) research: Methods and approaches. Current Protocols, 2, e354. doi: 10.1002
were created using the combined approaches of a review ofrelevant literature and instruments, a Q-Study, and expert panel. Items were adapted fromidentified existing and relevant instruments, administered to a development sample, andevaluated and optimized for scale length (see 35, 37 and 38 for full descriptions of thedevelopment process). Once initial items were generated, think-aloud sessions were conductedwith undergraduate students to determine face validity [38]. During the second phase ofinstrument development, a pilot testing of the survey was conducted with data collected from133 participants. An Exploratory Factor Analysis (EFA) was used to reduce the number andrefine the content of items as well as establish a preliminary structure
Coordinate travel, housing & other amenities. Check-in formalities. Arrive @ TAMU.@ TAMU Pre-program survey (championed by external evaluator). # Debrief. Campus tour. (WEEK) RESEARCH PROJECT EXPERIENCE (VIP TEAMS) PROFESSIONAL DEVELOPMENT (COE USRG)* May Define project objectives, methodology, Welcome breakfast. Orientation. General lab (Week-1) schedule & outcomes. Specific lab(s) safety. safety training. Welcome Bar-B-Q. Ethics. Jun. Research plan due! Overview of metrology/ GRE workshop: What to expect. Seminar: (Week-2) NDI principles, techniques, labs & literature. TAMU early admissions program. Jun. Tackle/plan-for research questions & tasks. GRE workshop: Maximize
laboratory environments.Acknowledgement This research is funded by the National Science Foundation NSF NRI #1527148. Anyopinions, findings, or conclusions found in this paper are those of the authors and do notnecessarily reflect the views of the sponsors.References1. National Robotics Initiative 2.0: Ubiquitous Collaborative Robots (NRI-2.0) (nsf17518) | NSF - National Science Foundation.2. Tucker C, Kumara S. An Automated Object-Task Mining Model for Providing Students with Real Time Performance Feedback. In: ; 2015:26.178.1-26.178.13.3. Hu Q, Bezawada S, Gray A, Tucker C, Brick T. Exploring the Link Between Task Complexity and Students’ Affective States During Engineering Laboratory Activities. In: ASME 2016
” Karmen Harris. “Implantable RFID Tags to Track Students” Larissa Hall. “iPad Carrying Case” Ashley James. “High-Tech Band-Aids” Taylor Kelly. “Special Education Progress Monitoring Software” Abagail Lewis. “The Relaxed Rider. A Stroller for Autistic Children” Cameron Lucero. “Technology Aiding Disabled Children at Heartspring in Wichita, KS. Senior Design Proposal” Brandon Mais. “Developing an Interactive iPad App to Assist in Daily Task Management for Children with Developmental Disabilities” Geoffrey Miller. “Q-Sensor Wrist Watch/Head Band Event Counter” Bryn Mayfield. “Hammock Swing with Ergonomic Inserts” Zac Myers. “Shock Resistant iPads” Jacob Nagely. “Sleep Sensors to Aid Heartspring Children with