. [Online].Available: http://journals.sagepub.com/doi/10.1177/0146167298246003[6] C. M. Steele, “A threat in the air: How stereotypes shape intellectual identity andperformance.” American Psychologist, vol. 52, no. 6, pp. 613–629, 1997. [Online]. Available:http://doi.apa.org/getdoi.cfm?doi=10.1037/0003-066X.52.6.613[7] C. M. Steele, and J. Aronson, “Stereotype threat and the intellectual test performance ofAfrican Americans,” Journal of Personality and Social Psychology, vol. 69, no. 5, pp. 797–811,1995. [Online]. Available: https://psycnet.apa.org/doiLanding?doi=10.1037%2F0022-3514.69.5.797[8] A. Bandura, “Self-efficacy,” In V. S. Ramachaudran (Ed.), Encyclopedia of HumanBehavior, vol. 4, pp. 71-81, New York: Academic Press, 1994.[9] H. R. Beem
Professor) © American Society for Engineering Education, 2022 Powered by www.slayte.com Recruitment Strategy Development for First Generation, Underrepresented, and Low-Income Masters StudentsAbstractRecruitment and academic success at the Master of Science (MS) degree level is an often-overlooked line of inquiry. The Stellar Engineering Students Graduate Program Scholarship(SEnS GPS), a National Science Foundation S-STEM funded program at Boise State University,is beginning to bridge this gap in our knowledge of masters-level students. Boise State is amedium-sized, metropolitan, rural serving institution in the mountain west with a largepopulation of
workshop topics,with Wind = 26% increase, Solar = 15% increase, and Power Grid = 15% increase.In February of 2022 a follow up survey was sent to measure the impact of the workshops onchanges to teaching practice. The survey elicited 54 responses (a 40% response rate).The following data show clear evidence of the implementation of the workshop content intoexisting curriculum and instruction.Figure 1. Teacher participant responses to the question, “Have you used the informationgained at the virtual workshop(s) to do any of the following? (mark all that apply)Figure 2. Teacher participant responses to the question, “If you increased the amount of timeyou covered renewable energy in your classroom, how much more time did you spend? (oneclass period
suspended are not included in this data because they are no longer enrolled attheir institutions.AcknowledgementThis material is based upon work supported by the National Science Foundation (NSF) underGrant No. 1545667. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NSF.References[1] B. Goldman, K. Blackwell, and S. Beach, “Academically Suspended University Students: What Percent Return? What Percent Graduate?,” J. First-Year Exp., vol. 15, no. 1, p. 10, 2003.[2] L. Lampe, M. Harris, and K. Brooks, “First-Time Academically Suspended Engineering (FASE) Undergraduate Outcomes: Two Engineering Undergraduate Programs
: OISE# 1952490-TAMU, 1952493-NDSU,and 195249-UNLV7). Any opinions, findings, conclusions, or recommendations presented are those of theauthors and do not necessarily reflect the views of the National Science Foundation. Lastly, the PIappreciates the work of The Mark USA in providing the evaluation data for this project.References1. Streiner, S., Cunningham, S.C., Huang, S., Levonisova, S., Matherly, C., Besterfield-Sacre, M.E., Shuman, L., Ragusa, G., and Kotys-Schwartz, D. (2014). Exploring engineering education in broader context: A framework of engineering global preparedness, ASEE Annual Conference and Exposition, Conference Proceedings, Indianapolis, IN, June 15-18.2. Daniel, S., Xie, F., and Kedia, B. (2014). Internationalization of
)Instructor’s ability to teach course online (Instructional limitations, Seeking help, IncreasedWorkload), 2) Student’s ability to learn online (Time Management, Lower engagement andmotivation, Harder to absorb material, Hard to focus, Worry about performance), 3) Difficultiesoutside of class (Technology issues), and 4) No concerns. Students seemed more concernedabout their ability to learn the material (48% of responses) than the instructor’s ability to teachthe material (36% of responses). The instructional limitations or lack of instructional support(22% of responses) and time management (12% of responses) were among the major concerns inthe sub-categories.The results from two-item scale indicated participants' s confidence in their ability to
algorithmic controllers to tackle one of the most concerning problems: energy- performance optimization. Israa received her B.S degree in Mechanical Engineering from Beirut Arab University (BAU) Lebanon in 2019. In 2021, she received her M.S degree in Mechanical Engineering "Robust Control" from the American University of Beirut (AUB) Lebanon. She is in the process of pursuing a Ph.D. in Mechanical Engineering Technology from Purdue University. Her primary Ph.D. research will focus on designing Interactive Mixed Reality Modules for addressing spatial visualization and understanding complex fluid power systems in Engineering Technology.Keith S. Pate (Student)Farid Breidi (Dr.)Walker MurphyJose M Garcia (Assistant Professor) Dr
supporting the development of theempathy module.References[1] D. J. Deming, “The Growing Importance of Social Skills in the Labor Market,” QuarterlyJournal of Economics, vol. 132, no. 4, pg. 1593-1640, 2017.[2] C. Duhigg, “What Google Learned From its Quest to Build the Perfect Team.” The NewYork Times, 2/25/2016.[3] C. Cole, J. Marhefka, K. Jablokow, S. Mohammed, S. Ritter, and S. Miller, "Howengineering design students’ psychological safety impacts team concept generation andscreening practices." International Design Engineering Technical Conferences and Computersand Information in Engineering Conference, St. Louis, MO, USA, IDETC2020-19426, 2020.[4] S. Kim, L. Heesu and T.P. Connerton. "How psychological safety affects team performance:mediating
. Borja, and M. E. Bentley, "Grandmothers, fathers, and depressive symptoms are associated with food insecurity among low-income first-time African- American mothers in North Carolina," Journal of the American Dietetic Association, vol. 109, no. 6, pp. 1042-1047, 2009.[7] R. G. Bringle and J. A. Hatcher, "A service-learning curriculum for faculty," 1995.[8] A. W. Chickering, "Strengthening democracy and personal development through community engagement," New directions for adult and continuing education, vol. 2008, no. 118, p. 87, 2008.[9] H. Said, I. Ahmad, S. S. S. Mansor, and Z. Awang, "Exploring different perspectives on limitations and promises of service-learning as an innovative pedagogy: review
to the National Center for Science and EngineeringStatistics (NCSES) recent report, the science and engineering (S&E) enterprise continues toadvance along several dimensions [11-12]. “The U.S. continues to perform the largest share ofglobal research and development, generate the largest share of research and developmentintensive industry output globally, award the largest number of S&E doctoral degrees, andaccount for significant shares of S&E research articles and citations worldwide. However, othernations, particularly China, are rapidly developing their science and technology (S&T) capacity.The changing global landscape affects the position of the United States relative to the other majorglobal players. For example, the
Paper ID #36881Creating an Industry-Academia Partnership to Prepare theWorkforce of the FutureStephanie S Ivey (Associate Dean for Research)Katie Marie Bowman © American Society for Engineering Education, 2022 Powered by www.slayte.com Creating an Industry-Academia Partnership to Prepare the Workforce of the FutureAbstractThis paper details development of a new Engineering Apprenticeship program designed toprepare engineering graduates to embrace technology, innovation, and the development ofmultidisciplinary solutions to current industry challenges. The program was
-012-9799-z.[6] Y. Kim, D. A. Eisenberg, E. N. Bondank, M. V. Chester, G. Mascaro, and B. S. Underwood, “Fail-safe and safe-to-fail adaptation: decision-making for urban flooding under climate change,” Clim. Change, vol. 145, no. 3–4, pp. 397–412, 2017, doi: 10.1007/s10584-017-2090-1.[7] J. Park, T. P. Seager, P. S. C. Rao, M. Convertino, and I. Linkov, “Integrating risk and resilience approaches to catastrophe management in engineering systems,” Risk Anal., vol. 33, no. 3, pp. 356–367, 2013, doi: 10.1111/j.1539-6924.2012.01885.x.[8] A. Al Rasbi et al., “Safe-to-Fail Adaptation Strategies for Phoenix-area Roadways Under Increasing Precipitation,” 2016.[9] Carol Considine and Emily Steinhilber, “COLLABORATIVE STRATEGIES
institutions, as well as groups composed of members fromdifferent backgrounds. The articles included in the review are presented in Table I below. TABLE I. Summary of Team Science and Cross-Organizational Collaboration Articles Authors (Year) Journal/Repor Research Results/ Setting(s) t Methods FindingsCheruvelil, K.S., Frontiers in Qualitative Interpersonal skills and member EcologicalSoranno, P.A., Ecology and the diversity are the most important ResearchWeathers, K.C., (...), Environment factors
closely partnered approach between faculty and industry fosters opportunities forindustry to serve as engineering communication role models for students. These formal andinformal opportunities also ensure that employers’ expectations and perceptions occupy animportant role in determining the skills that need to be reinforced in the engineering curriculum.References[1] R. Holden and S. Jameson, S. “Employing graduates in SMEs: Towards a research agenda,” Journal of Small Business and Enterprise Development, 2002.[2] H. Gilbert and H. Prew, “A Passion for Learning: Celebrating 80 Years of NIACE Support for Adult Learning.” National Institute of Adult Continuing Education, 21 De Montfort Street, Leicester LE11 7GE, United Kingdom
implementing effective pedagogical methods that will enhance student engagement,comprehension, and scholarship abilities.REFERENCES[1] Andre, E., Williams, N., Schwartz, F., Bullard, C. Benefits of Campus Outdoor RecreationPrograms: A Review of the Literature. Journal of Outdoor Recreation, Education, and Leadership.2017, Vol. 9, No. 1, pp 15-25.[2] Bailey, T., Alfonso, M. Paths to persistence: An analysis of research on program effectivenessat community colleges. Indianapolis, IN: Lumina Foundation of Education. 2005.[3] Bauman, S., Wang, N., DeLeon, C., Kafentzis, J., Zavala-Lopez, M., Lindsey, M.Nontraditional students’ service needs and social support resources: A pilot study. Journal ofCollege Counseling, 7, 13-17. 2004.[4] Bell, B.J., Holmes, M
Paper ID #37127Work In Progress: Beyond Textbook: An Open EducationalResource Platform that Generates Course-Specific E-TextbooksBarney WeiMingyu ZhengMohammadreza KaramsoltaniRUI ZENGHamid S. Timorabadi Hamid Timorabadi received his BSc, MASc, and PhD degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the application of digital signal processing in energy systems and computer networks. He also has deep interest in engineering education and the use of technology to advance the
campus, the instructional method(s) used for each course is givenin Table 1.Table 1 - Fall 2020 Course Instructional Methods Course Instructional Method ● Fully Online Mathematics ● Online/In-Person Hybrid Model Science ● Online/In-Person Hybrid Model Engineering ● Online/In-Person Hybrid ModelIn summary, this study has two fundamental research questions: How do first-year engineering students perceive their academic progress in the mathematics, science, and engineering courses in their first semester of college? What impact has the COVID-19 pandemic had on first-year engineering students’ perception
.), Children's needs III: Development,prevention, and intervention (pp. 59–71), 2006. https://psycnet.apa.org/record/2006-03571-005(accessed Feb. 10, 2022).[3] D. Barni, F. Danioni, and P. Benevene, “Teachers' self-efficacy: The role of personal valuesand motivations for teaching,” Frontiers, 01-Jan-1AD. [Online]. Available:https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01645/full. [Accessed: 02-Feb-2022].[4] A. Wigfield and J. S. Eccles, “Expectancy–Value Theory of AchievementMotivation,” Contemporary Educational Psychology, vol. 25, no. 1, pp. 68–81, Jan. 2000, doi:10.1006/ceps.1999.1015.[5] J. Schuitema, T. Peetsma, and I. van der Veen, “Longitudinal relations between perceivedautonomy and social support from teachers and students’ self
] Sandier, B., Silverberg, L., Hall, R. (1996) The chilly classroom climate: A Guide to improvethe education of -women. Washington DC: National Association of Women in Education.[5] Chang, M. J., Sharkness, J., Hurtado, S., & Newman, C. B. (2014). What matters in collegefor retaining aspiring scientists and engineers from underrepresented racial groups. Journal ofResearch in Science Teaching, 51(5), 555-580.[6] O’Connor, C., Lewis, A., & Mueller, J. (2007). Researching “Black” educational experiencesand outcomes: Theoretical and methodological considerations. Educational Researcher, 36(9),541-552.[7] Essed, P. (1991). Understanding everyday racism: An interdisciplinary theory (Vol. 2). Sage.[8] Bonilla-Silva, E. (1997). Rethinking racism
or finding a support system on campus inwhich they can identify with. This can eventually help with retention rates and sense ofbelonging in their field of study to feel comfortable and strive. Additionally, student facilitatorswill be given support and training from faculty who are teaching the class to give betterunderstanding to the students when asking for help. Creating a mutual network of help to betterbenefit the students. We are also looking into the impact of TASI during the COVID 19pandemic and developing a course of action for the return to face-to-face instruction.AcknowledgmentThis study is part of an institution wide NSF Hispanic Serving Institution grant number_____.WORK CITED [1] Herrera, F. A., & Hurtado, S. (2011
engineering students. Future work will investigate these productivebehaviors to understand better how they counteract less productive (i.e., surface modeling)behaviors.AcknowledgmentsWe thank the University of Illinois System for providing the funding for this research, as well asthe members of the mobileSHIELD team. We wish to also acknowledge the generous support ofthe UIUC Industrial and Enterprise Systems Engineering (ISE) Research Experience forUndergraduates (REU).References[1] U. Johansson-Sköldberg, J. Woodilla, and M. Çetinkaya, “Design thinking: past, present and possible futures,” Creativity and innovation management, pp. 121-146, 2013. https://doi.org/10.1111/caim.12023[2] D. P. Crismond, and R. S. Adams, “The Informed
, “Curriculum visualization in 3D,” in Proceedings of the twelfth international conference on 3D web technology, New York, NY, USA, Apr. 2007, pp. 177–180. doi: 10/cwn2wh.[2] S. Kriglstein, “Analysis of Ontology Visualization Techniques for Modular Curricula,” in HCI and Usability for Education and Work, Berlin, Heidelberg, 2008, pp. 299–312. doi: 10/dmvmx7.[3] R. Zucker, “ViCurriAS: A Curriculum Visualization Tool for Faculty, Advisors, and Students,” J. Comput. Sci. Coll., vol. 25, no. 2, pp. 138–145, Dec. 2009.[4] S. M. MacNeil, M. M. Dorodchi, E. Al-Hossami, A. Benedict, D. Desai, and M. J. Mahzoon, “Curri: A Curriculum Visualization System that Unifies Curricular Dependencies with Temporal Student Data,” presented at the 2020 ASEE
Paradigm of Instructional Theory, C. Reigeluth, ed., Evanston, IL,USA: Routledge, 1999, pp. 91-114.[5] S. Land, M. Hannafin, and K. Oliver, "Student centered learning environments," inTheoretical Foundations of Learning Environments, D. Jonassen and S. Land, eds., Evanston, IL,USA: Routledge, 2012.[6] J. Lu, S. Bridges, and C.E. Hmelo-Silver, "Problem-based learning," in The CambridgeHandbook of the Learning Sciences, 2nd ed., R.K. Sawyer, ed., Cambridge, UK: CambridgeUniversity Press, 2014, 298-318.[7] G. Siemens, "Connectivism: A learning theory for the digital age," Int. J. of InstructionalTechnol. & Distance Learn., Jan. 2005, http://www.itdl.org/Journal/Jan_05/article01.htm(accessed Dec. 12, 2021).[8] M. Ito, K. Gutiérrez, S. Livingstone
experience to beamong the most significant predictors. Students’ programming self-efficacy was consistentlynoted as being a good predictor of success in the course [6], [9], [12].As noted above, the last three studies mentioned here ( [2], [6], [7]) constitute the recent researchthat validated results on a separate data set, used a large sample size, and were able to predictstudent success with high accuracy while still early in a CS1 course. Our work adds to this list ofstudies, while requiring less extensive data collection. Specifically, Ahadi et al.’s method [2]requires an instrumented development environment, Liao et al’s [7] requires “clicker” data fromstudent responses to in-class questions, and Quille and Bergin’s [6] requires exit scores
as the seasonality of these time series, which will also haveenough history to apply these forecasting methods.In summary, this paper explores the use of LMS data related to assignments and other gradedactivities in gaining insights into how students advance through courses. It describes atime-based approach to using this data to predict student performance outcomes at the end of thecourse from any given time point during the course. The ultimate goal is to be able to use suchpredictions to implement early intervention measures and improve student retention.Bibliography[1] R. Umer, A. Mathrani, T. Susnjak and S. Lim, "Mining Activity Log Data to Predict Student's Outcome in a Course," in Proceedings of the 2019 International Conference on
argumentation asone of its core practices in science and engineering education that should be developedthroughout primary and secondary school education. The National Research Council (NRC)wrote that “In engineering, reasoning and argument are essential to finding the best possiblesolution to a problem…. [S]tudents should argue for the explanations they construct, defend theirinterpretations of the associated data, and advocate for the designs they propose” [10, pp. 72-73].The NGSS specifically included engaging in argument and constructing explanations supportedby evidence in its middle and high school engineering design standards [1]. Argumentationfocuses students on the need for quality evidence, and the process helps students to buildconnections
. Arnold and M. C. Fonseca, “Multiple intelligence theory and foreign language learning: A brain-based perspective,” International journal of English studies, vol. 4, no. 1, pp. 119–136, 2004. [4] M. Van den Noort, E. Struys, P. Bosch, L. Jaswetz, B. Perriard, S. Yeo, P. Barisch, K. Ver- meire, S.-H. Lee, and S. Lim, “Does the bilingual advantage in cognitive control exist and if so, what are its modulating factors? a systematic review,” Behavioral Sciences, vol. 9, no. 3, p. 27, 2019. [5] P. Auer, Code-switching in conversation: Language, interaction and identity. Routledge, 2013. [6] S. Pinker, “Formal models of language learning,” Cognition, vol. 7, no. 3, pp. 217–283, 1979. [7] M
. Chen, and C. S. Teh, “Incorporating kansei engineering in instructional design: Designing virtual reality based learning environments from a novel perspective,” THEMES IN SCIENCE AND TECHNOLOGY EDUCATION, vol. 1, no. 1, pp. 37–48, 2008. [2] S. Alizadehsalehi, A. Hadavi, and J. C. Huang, “Virtual reality for design and construction education environment,” Integrated Building Solutions - The National Agenda - Proceedings of the Architectural Engineering National Conference, pp. 193–203, 2019. [3] F. M. Dinis, A. S. Guimaraes, B. R. Carvalho, and J. P. P. Martins, “Virtual and augmented reality game-based applications to civil engineering education,” 2017 IEEE Global Engineering Education Conference, pp. 1195–1202, 2017
is also the coordinator for an NSF S-STEM program to prepare students for gateway courses across different disciplines of engineering to support and retain students in these disciplines. His research focuses on techniques to collect and analyze the electrical impedance of biological tissues and their potential applications. © American Society for Engineering Education, 2022 Powered by www.slayte.comStudent Progress after a Learning in Advance Course to Prepare Engineering Students for Circuit Analysis in Electrical EngineeringIntroductionThe University of Alabama (UA) is exploring Learning in Advance (LIA) courses to introduceengineering students to core
influence engineering academic performance for various nontraditional groups andon implementing interventions that optimize learning and success for all engineeringstudents. References1. Bean, A. G., & Covert, R. W. (1973). Prediction of college persistence, withdrawal, and academic dismissal: A discriminant analysis. Educational and Psychological Measurement, 33, 407-411.2. Bean, J. P., & Metzner, B. S. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55(4), 485-540.3. Boughan, K. (1998). New Approaches to the Analysis of Academic Outcomes: Modeling Student Performance at a Community College. Paper presented at the 38th