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survey included items from the Math Anxiety Ratings Scale(MARS-30) to measure levels of student math test anxiety. Students were also given a surveyabout their future-oriented motivation in their FYE course that uses a 7-point Likert scale to as-sess factors including students’ perceptions, connectedness, value, clarity, and alignment of theirfuture(s). These two survey data sets were combined to allow the simultaneous exploration ofboth their perceptions of Calculus exams and perceptions of the future.After collecting and cleaning the data on students’ perception of Calculus exams, we performedan Exploratory Factor Analysis. We found that students see the purpose of Calculus exams infour ways: with a future oriented purpose, with a performance
Canvas quizz:Quiz_A1 1 = Point value per question:Basic concepts covered::Understanding units # Question Answer Another answer Another answer Another answer Another answer 1 Slugs are units of ___. mass 2 kg/(m*s^2) are units of ___. pressure normal stress shear stress 3 ___ has units of kg/(m*s^2). pressure normal stress shear stress
study.REFERENCES[1] US News, 2022, "U.S. News Education Rankings Colleges," [Online]. Available: https://www.usnews.com/best-colleges/rankings [Accessed Feb. 13, 2022].[2] IDEO, 2022, “What is Design Thinking?” [Online]. Available: https://www.ideou.com/blogs/inspiration/what-is-design-thinking [Accessed Feb. 13,2022].[3] Vargas Hernandez, N., Fuentes, A., & Crown, S. (2018, October). Effectively Transforming Students through First Year Engineering Student Experiences. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-5
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= � � 𝑑𝑑𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡 𝑑𝑑𝑑𝑑The results from the shakedown test are shown in Figure 9, along with a plot of the prediction ofinviscid theory (Bernoulli’s equation) which is not developed here formally. The result is that thevelocity of the exit jet is the same as what would be obtained from an object dropped in free fallfrom a height h. The main experimental result here is obtained from mass principles only. 6 5 Inviscid Theory Vexit = (2gH)0.5 4 Exit Velocity (m/s) 3 Experimental Data 2
desired by students. 8. References[1] D. Raviv, “Visual Explanations of First Order Differential Equations,” in 16th LACCEIInternational Multi-Conference for Engineering, Education, and Technology, 2018.[2] T. Goldfinch, A. L. Carew, and T.J. McCarthy, “Improving Learning in EngineeringMechanics: The Significance of Understanding Causes of Poor Performance,” in Proceedings ofthe AAEE Conference, 2008.[3] S. Baker and L. Talley, “The Relationship of Visualization Skills to Achievement inFreshman Chemistry,” in Journal of Chemistry Education, 1972.[4] J. Velazquez-Iturbide, I. Hernan-Losada, and M. Paredes-Velasco, “Evaluating the Effectof Program Visualization on Student Motivation,” in IEEE Transactions on Education, 2017.[5] R
, and detailed fabrication files on theDAMNED project with interested faculty members. Please contact us using the information inthe title block of the article. This material is based upon work supported by the National ScienceFoundation under Grant No. EEC-2022271. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.Citations[1] J. E. Froyd, P. C. Wankat, and K. A. Smith, “Five Major Shifts in 100 Years of Engineering Education,” Proc. IEEE, vol. 100, pp. 1344–1360, 2012.[2] C. R. Mann and M. Press, “A Study of Engineering Education,” Carnegie Foundation for the Advancement of Teaching, Boston
of Participant, Gender of Participant b. Predictors: (Constant), Number of courses taken (students) or taught (faculty), Type of Participant, Gender of Participant c. Predictors: (Constant), Type of Participant, Gender of Participant d. Predictors: (Constant), Type of Participant e. Dependent Variable: Total score in the concept test out of 20The ANOVA results of the four models created from the auto linear regression using a backwardalgorithm showed that although Models 2 and 3 were significant at p<0.05, Model 4 wassignificant at p<0.001, and it has an F-statistic>4, which is twice the Model 3’s. Thus, Model 4performed best among the
ensure the accessibility and functionality of the video modules. Theproject team plans to carry over the learned experiences and skill set to simplify the video designand development process in the future.AcknowledgementThis work is sponsored by CSU STEM-NET program.References 1. Kim, J. (2021). 11 Takeaways from the 2021 CHLOE Report. Inside Higher Ed, https://www.insidehighered.com/blogs/learning-innovation/11-takeaways-2021-chloe- report 2. Noetel, M., Griffith, S., Delaney, O., Sanders, T., Parker, P., Cruz, B., and Lonsdale, C. (2021). Video Improves Learning in Higher Education: A Systematic Review, Review of Educational Research, 91(2): 204–236. 3. Månsson, J., Löfgreen, J., and Warfvinge P. (2017
study skills and/orstudents struggling to adapt the correct learning technique(s) best associated for a certain topic. Masteringthe content in ordered sequence is particularly critical as students in AE are a non-controlled enrollmentstatus, that is, students with lower than 3.0 GPA may enter the major. Anecdotal evidence indicates thatstudents at lower GPA levels have greater difficulties with these challenging courses. In many instances,the difficulties can be attributed to underdeveloped learning skills and their cognitive processing abilities.Failure to successfully complete these courses unwittingly results in setbacks, such as, on-time entrance tomajor and academic progress in subsequence major courses for a significant number of
Paper ID #37442Design, Fabrication, and Testing of Next Generation DesktopLearning Modules for Chemical and Mechanical EngineeringEducationAminul Islam Khan (Mr.) Aminul Islam Khan Received his B.S. and M. S. from the Bangladesh University of Engineering and Technology where he also served as a Lecturer and Assistant Professor. Currently, Khan is a Ph.D. candidate at Washington State University. He has been involved in multidisciplinary research including hands-on learning for STEM education, transport modeling in micro/nanoscale devices, and various inverse techniques including Bayesian inference, Monte Carlo
EducationAnnual Conference & Exposition.[3] Fabien, Brian and Vereen, Keona. Implementing a Freshman Engineering Design Experience at theUniversity of Washington. 3rd International Conference on Higher Education Advances, HEAd’17,Valencia, 2017.[4] J. Kellar, W. Hovey, M. Langerman, S. Howard, L. Simonson, L. Kjerengtroen, L. Sttler, H.Heilhecker, L. Ameson-Meyer, and S. Kellogg, A problem-based learning approach for freshmanengineering, in 30th Annual Frontiers in Education Conference (FIE), Feb. 2000.[5] H. Lei, F. Ganjeizadeh, D. Nordmeyer, and J. Phung, Student learning trends in a freshman-levelintroductory engineering course, in 2017 IEEE Global Engineering Education Conference (EDUCON),April 2017, pp. 152–156.[6] L. A. Meadows, R. Fowler, and
Instruction, vol. 35, no. 4, pp. 265–289, Oct. 2017, doi:10.1080/07370008.2017.1355211.[3] V. Borum and E. Walker, “What Makes the Difference? Black Women’s Undergraduateand Graduate Experiences in Mathematics,” The Journal of Negro Education, vol. 81, no. 4, pp.366–378, 2012, doi: 10.7709/jnegroeducation.81.4.0366.[4] M. S. Ross, B. M. Capobianco, and A. Godwin, “REPOSITIONING RACE, GENDER,AND ROLE IDENTITY FORMATION FOR BLACK WOMEN IN ENGINEERING,” JWomen Minor Scien Eng, vol. 23, no. 1, pp. 37–52, 2017, doi:10.1615/JWomenMinorScienEng.2017016424.[5] S. J. Robinson, “Spoke tokenism : Black women talking back about graduate schoolexperiences,” Race Ethnicity and Education, vol. 16, no. 2, pp. 155–181, 2012, doi:10.1080/13613324.2011.645567
and piloting of thisAccessible Playground Design unit. I am deeply grateful to the participating students for sharingtheir time and ideas with us. This study was supported by the NSF ITEST program (#1657218).References[1] N. Cross, Design Thinking. New York: Bloomsbury Academic Publishing Plc, 2011.[2] C. M. Cunningham and G. J. Kelly, “Framing engineering practices in elementary school classrooms,” International Journal of Engineering Education, vol. 33, no. 1, pp. 295–307, 2017, [Online]. Available: https://www-ijee-ie.ezproxy.lib.purdue.edu/latestissues/Vol33- 1B/03_ijee3372ns.pdf[3] S. Selcen Guzey and M. Aranda, “Student Participation in Engineering Practices and Discourse: An Exploratory Case Study
illustrate and explainsome of the complex and important mechanics principles and concepts, and facilitate buildingtechnical skills. Students also provided feedback on how to enhance the assignments for thefuture.References[1] N. R. Council, How people learn: Brain, mind, experience, and school: Expanded edition. National Academies Press, 2000.[2] M. Tajvidi and N. Fang, "Application of computer simulation and animation (CSA) in teaching and learning engineering mechanics," in 2015 ASEE Annual Conference & Exposition, 2015, pp. 26-221.[3] W. Reffeor, "Using FEA as a Pedagogical Tool for Teaching Machine Component Design," in 2018 ASEE Annual Conference and Exposition, June, 2018, pp. 24-27.[4] S. Navaee and J. Kang
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beyond: The messenger is the medium," Journal of STEM Education: Innovations and Research, vol. 19, no. 4, 2018.[8] L. d. C. El Debs, M. Shaurette, W. Hynes, H. J. Kwon, B. Hutzel, and D. Barbarash, "Cross College Faculty Collaboration for the development of a new major in Design and Construction Integration," in 2017 ASEE Annual Conference & Exposition, 2017.[9] P. Golding, S. A. Starks, R. V. Gonzalez, M. R. Kendall, D. G. Novick, and C. H. Joslyn, "Leadership in Engineering Innovation and Entrepreneurship," in 2021 ASEE Virtual Annual Conference Content Access, 2021.[10] Y. Hatipkarasulu, V. B. Canizaro, and J. D. Murphy, "Multi-disciplinary Integration for design and construction freshman
equity throughout the computer science education ecosystem,” Communications of the ACM, vol. 64, pp. 23–35, 2021. [2] F. H. Norris, M. J. Friedman, P. J. Watson, C. M. Byrne, E. Diaz, and K. Kaniasty, “60,000 disaster victims speak: Part i. an empirical review of the empirical literature, 1981–2001,” Psychiatry: Interpersonal and biological processes, vol. 65, no. 3, pp. 207–239, 2002. [3] F. H. Norris, M. J. Friedman, and P. J. Watson, “60,000 disaster victims speak: Part ii. sum- mary and implications of the disaster mental health research,” Psychiatry: Interpersonal and biological processes, vol. 65, no. 3, pp. 240–260, 2002. [4] T. A. DeVaney, S. C. Carr, and D. D. Allen, “Impact of hurricane katrina on the educational
Tutors to Cheat onEngineering Exams”, in Proceedings of ASEE Gulf Southwest Section Annual Conference, Albuquerque,NM, 2020.[8] A. Karimi and R.D. Manteufel, “An Experiment with Flipped Classroom Concepts in aThermodynamics Course”, in Proceedings of ASEE Gulf Southwest Section Annual Conference, Austin,TX, 2019.[9] R. F. Ramos, “Addressing Muddy Points Early in the Semester Increases Student Learning in aBioinstrumentation Laboratory Course”, in Proceedings of 2015 ASEE Annual Conference, 2015.[10] S.J. Krause and S. Hoyt, “Enhancing Instruction by Uncovering Instructor Blind Spots fromMuddiest Point Reflections in Introductory Materials Classes”, in Proceedings of 2020 ASEE AnnualConference, 2020.
students’ self-reported motivation and learning during the COVID-19 pandemic.Humanit Soc Sci Commun 8, 176 (2021). https://doi.org/10.1057/s41599-021-00860-44. Dhawan S (2020) Online learning: a panacea in the time of COVID-19 crisis. J EducTechnol Syst 49(1):5–22. https://doi.org/10.1177/00472395209340185. Fatani TH (2020) Student satisfaction with videoconferencing teaching quality during theCOVID-19 pandemic. BMC Med Educ 20(1):1–8. https://doi.org/10.1186/s12909-020-02310-26. Kubelick, K, Gleason, R, Rains, J., Capstone During COVID-19: Medical DeviceDevelopment at Home to Solve Global Health Problems. Biomedical Engineering Education,Vol. 1, No. 1, January 2021 ( 2020) pp. 209–213. https://doi.org/10.1007/s43683-020-00035-87
. Should one or more of these systems produce an error, theentire turbine system will shut itself down and prevent further rotation until the maintenance teamhas corrected the error (s).Once the participants familiarized themselves with how the systems were linked, they completedtroubleshooting exercises. The turbine generated error codes during these exercises and displayedthem through the SCADA system. The participants would identify the error code to determinewhich portion of the turbine produced the error. They would then examine the physical systemsand troubleshoot the connections until they identified the precise issue. The participants completedthese exercises by utilizing multimeters and looking for visual and audio cues from the
. References:1. Moreno, S. E., Muller, C., Asera, R., Wyatt, L., & Epperson, J. (1999). Supporting minoritymathematics achievement: The Emerging Scholars Program at The University of Texas atAustin. Journal of Women and Minorities in Science and Engineering, 5(1), 53-66.2. Budny, D. (1992). Mathematics bridge program. Proceedings of Frontiers in EducationTwenty-Second Annual Conference.3. Cancado, L., Reisel, J, & Walker, C. (2018). Impacts of a summer bridge program inengineering on student retention and graduation. Journal of STEM Education, 19(2), 26-31.4. Gleason, J., Boykin, K., Johnson, P., Bowen, L., Raju, D., & Slappey, C. (2010). Integratedengineering math-based summer bridge program for student retention. Advances in
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-101. https://doi.org/10.1191/1478088706qp063oaBrodwin, E., & St. Fleur, N. (2021, February 19). FDA issues alert on ‘limitations’ of pulseoximeters, without explicit mention of racial bias. STAT News.https://www.statnews.com/2021/02/19/fda-issues-alert-on-limitations-of-pulse-oximeters-without-explicit-mention-of-racial-bi/Buolamwini, J., & Raji, I. D. (2019). Actionable auditing: Investigating the impact of publiclynaming biased performance results of commercial AI products. In Proceedings of the 2019Conference on Artificial Intelligence, Ethics, and Society.Cech, E. A. (2014). Culture of disengagement in engineering education? Science, Technology, &Human Values, 39(1), 42–72. https://doi.org/10.1177/0162243913504305Claussen, S
National Science Foundation (NSF) Solicitationunder award number 2000568 in accordance with the NSF Advanced Technical Educationprogram.References 1. S. Malcolm and M. Feder, “Multiple STEM Pathways” in Barriers and Opportunities for 2-Year and 4-Year STEM Degrees. Washington, DC: The National Academies Press, 2016, pp. 21-57. 2. ‘Institutional Self Evaluation Report in Support of Reaffirmation of Accreditation, Mt. San Antonio College, Walnut, 201
beunderstood.The engineering “rules” are not implicit nor isolated instances [14-16], they are legitimized andmade explicit through engineering education research which sets the parameters regardingwhat kind of engineering narrative matters. While there is a broad range of research thataddresses Latino/a/x students, the current approaches are devoid of the insider perspectivesand methodologies created by Latino/a/s individuals. This serves to further marginalizehistorically underrepresented students from engineering as hierarchical classifications placevalue on what kinds of knowledge are deemed worthy and which are not. This type ofengineering and research gatekeeping could potentially erase students of color different ways ofknowing and meaning-making
is the question." Routledge, 2009.[8] J. Sweller, P. Ayres, and S. Kalyuga. Cognitive Load Theory. Explorations in the learningsciences, instructional systems and performance technologies: Vol. 1., 2011.[9] Tang, Yan, Haiyan Bai, and Richard Catrambone. "Applying Deliberate Practice toFacilitate Schema Acquisition in Learning Introductory Mechanics." In 2021 ASEE Virtual AnnualConference Content Access. 2021.[10] Ericsson, K. Anders. "The influence of experience and deliberate practice on thedevelopment of superior expert performance." The Cambridge handbook of expertise and expertperformance 38, no. 685-705 (2006): 2-2.[11] Ericsson, K. Anders, Ralf T. Krampe, and Clemens Tesch-Römer. "The role of deliberatepractice in the