will draw on research team meeting notes, formative feedback survey responses, andnarrative reflections from URFs to support our claims. Research leads also share theirperspectives on recruiting, onboarding and working with the URFs and describe some of themacro-ethical considerations that motivated their partnership with URFs [4, 5].Dr. Turpen and Dr. Radoff, the research leads, and a subset of URFs (K. Rahman, S. Bikki, K.Adkins, and H. Sangha) collaboratively developed this paper. We organize our findings into threeparts; we describe: (a) the multiple ways the research leads benefited from this collaboration, (b)the multiple ways the URFs have benefited from this collaboration, and (c) the joint workprocesses and routines within our
prototyping activities. The specifics of theproject appear to influence the general way that students engage with the design process.However, in both projects, many students engaged in the studying the brief and planning theprocess steps, which is more characteristic of expert designers. Based on our results, wehypothesize that the nature of the materials selection process may prompt students to engage inthese crucial knowledge gaining steps.References[1] H. Mahajan, S. M. Naik, S. M, C. Kannaiah, and S. Majeedullah, “Impact of Project-Based Learning for Improving Students Skills by Incorporating Design Thinking Process,” J. Eng. Educ. Transform., vol. 34, no. SP ICTIEE, Art. no. SP ICTIEE, Jan. 2021, doi: 10.16920/jeet/2021/v34i0/157150.[2
development.AcknowledgementsThe ORCA team would like to show thanks to Dr. Ana Goulart for the support on this capstoneproject task. © American Society for Engineering Education, 2022 2022 ASEE Annual Conference & ExpositionReferences[1] R. D. Ballard, A. M. McCann, D. Yoerger, L. Whitcomb, D. Mindell, J. Oleson, H. Singh, B. Foley, J. Adams,D. Pechota, C. Giangrande, “The discovery of ancient history in the deep sea using advanced deep submergencetechnology,” Deep sea research part I: Oceanographic research papers, vol. 47, no. 9, pp. 1591-1620, 2000.[2] W. Koterayama M. Nakamura, and S. Yamaguchi, “Underwater Vehicles and Buoy Systems Developed forOcean Observations in the Research Institute for Applied
: Routledge), 2016, pp.183–195.[2] B. Bevan, J. J. Ryoo, A. Vanderwerff, M. Petrich, and K. Wilkinson, “Making deeperlearners: a tinkering learning dimensions framework,” Connect. Sci. Learn. 7. 2018.[3] M. South, S. Ozonoff, and W. M. McMahon, “Repetitive behavior profiles in Aspergersyndrome and high-functioning autism,” J. Autism Dev. Disord. vol. 35, pp. 145–158, 2015, doi:10.1007/s10803-004-1992-8[4] X. Wei, J. W. Yu, P. Shattuck, M. McCracken, and J. Blackorby, “Science, technology,engineering, and mathematics (STEM) participation among college students with an autismspectrum disorder,” J. Autism Dev. Disord, vol. 43, pp. 1539–1546, 2013, Doi:10.1007/s10803-012-1700-z[5] P. T. Shattuck, S. C. Narendorf, B. Cooper, P. R. Sterzing, M. Wagner, and
Professor in the Center for Writing Studies and the Department of English at the University of Illinois at Urbana-Champaign. Since 2016, he has been part of a team engaged in transdisciplinary action research on writing in STEM classes and curricula.John Gallagher John R. Gallagher is an assistant professor at the University of Illinois, Urbana Champaign. He studies interfaces, participatory audiences, and technical communication.John S Popovics John Popovics is a Professor, Associate Head, and Director of Undergraduate Studies in the Civil & Environmental Engineering Department at the University of Illinois at Urbana-Champaign. His interests include writing instruction for engineering students.Celia Mathews
# 1741910. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation. This project investigates the potential of the Collective Argumentation Learning and Coding(CALC) concept for integrating the teaching of computer coding and other computer sciencecontent into the standard practices already used to teach different elementary (grades 3-5)curriculum content. Elementary school teachers significantly influence student motivation toengage in coding and are being asked to provide increased instruction on coding. Unfortunately,few practicing teachers have academic backgrounds in computer coding. This project aims toidentify
they be assessed?. Journal of Engineering Education, 94(1), 41-55.4. Khan, H. N. (2017). Scaling Moore's wall: Existing institutions and the end of a technology paradigm. Doctoral dissertation. Carnegie Mellon University.5. Benham, M., Foster, T., Gambell, T., & Karunakaran, S. (2020). The resilience imperative for medtech supply chains. McKinsey & Company. Available at: https://www.mckinsey.com/business-functions/operations/ourinsights/the-resilience- imperative-for-medtech-supply-chains.6. Batur, D., Bekki, J. M., & Chen, X. (2018). Quantile regression metamodeling: Toward improved responsiveness in the high-tech electronics manufacturing industry. European Journal of Operational Research, 264(1), 212-224.7
technology innovation and entrepreneurship: Moving beyond research funding through the NSF I- CORPS™ program. Technology & Innovation, 19(4), 773-786. [3] Rao, G. N., Williams, J. R., Walsh, M., & Moore, J. (2017). America's seed fund: How the SBIR/STTR programs help enable catalytic growth and technological advances. Technology & Innovation, 18(4), 315-318. [4] Fechner, H., & Shapanka, M. S. (2018). Closing diversity gaps in innovation: Gender, race, and income disparities in patenting and commercialization of inventions. Technology & Innovation, 19(4), 727-734. [5] Gassmann, O. (2001). Multicultural teams: increasing creativity and innovation by diversity
pathway for sustainability,” Sustainable Development, vol. 15, no.6, pp. 370–381, 2007, doi: 10.1002/sd.322.[3] Z. Fadeeva, “Promise of sustainability collaboration—potential fulfilled?,” Journal of CleanerProduction, vol. 13, no. 2, pp. 165–174, Jan. 2005, doi: 10.1016/S0959-6526(03)00125-2.[4] A. L. Powers, “An Evaluation of Four Place-Based Education Programs,” The Journal ofEnvironmental Education, vol. 35, no. 4, pp. 17–32, Jul. 2004, doi: 10.3200/JOEE.35.4.17-32.[5] D. X. Román, M. Castro, C. Baeza, R. Knab, S. Huss-Lederman, and M. Chacon, “Resilience,collaboration, and agency: Galapagos teachers confronting the disruption of COVID-19,” The Journal ofEnvironmental Education, vol. 52, no. 5, pp. 325–334, Sep. 2021, doi: 10.1080
equity, inclusion, and diversity activities in first-year engineering classes," in 2019 ASEE Annual Conference & Exposition, 2019 [Online]. Available: https://peer.asee.org/32782[4] L. Mohandas, N. Mentzer, A. Jaiswal, and S. Farrington, "Effectiveness of Undergraduate Teaching Assistants in a First-Year Design Course," in 2020 ASEE Virtual Annual Conference Content Access, 2020 [Online]. Available: https://peer.asee.org/34503[5] A. M. Phillips, K. M. Kecskemety, and D. A. Delaine, "First-year Engineering Teaching Assistant Training: Examining Different Training Models and Teaching Assistant Empowerment," in 2018 ASEE Annual Conference & Exposition, 2018 [Online]. Available: https
platform is encouraged as it broadens the types ofproblems that instructors can successfully implement in the platform.AcknowledgmentsThis work was completed under Cornell University IRB protocol #2108010487. We thank Dr.Mariana Silva and Nicolas Nytko for their helpful conversations about how best to implementexploded FBD support in PL and technical assistance incorporating the new object into theplatform. We thank also Dr. Erika Mudrak from Cornell Statistical Consulting Unit for invaluableassistance with the statistical analysis.References [1] P. Cornwell and A. H. Danesh-Yazdi, “Good strategies to avoid bad fbds,” in 2019 ASEE Annual Conference & Exposition, Tampa, Florida, 2019. doi: 10.18260/1-2--32877 [2] K. N. Leipold and S. R
, M., Abuhamdeh, S., & Nakamura, J. (2021). Flow. Natur & Kultur Allmänlitteratur.Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of educational research, 74(1), 59-109.Interpol. (2020). COVID-19 Cybercrime Analysis Report. https://www.interpol.int/en/News- and-Events/News/2020/INTERPOL-report-shows-alarming-rate-of-cyberattacks-during- COVID-19Krauss, C., Chokshi, N., & Sanger, D. (2021, May 12). Gas pipeline hack leads to panic buying in the southeast. The New York Times. https://www.nytimes.com/2021/05/11/business/colonial-pipeline-shutdown-latest- news.htmlMcKenney, S., & Reeves, T. C
, J.C., Small, M.J., Shonnard, D.R., Hokanson, D.R., Zhang, Q., Chen, H., Sorby, S.A., James, V.U., Sutherland, J.W. and Schnoor, J.L., “Sustainability science and engineering: the emergence of a new metadiscipline.” Environmental science & technology, 37(23), pp.5314-5324, 2003.3. Brundtland, G.H., Khalid, M., Agnelli, S., Al-Athel, S. and Chidzero, B., “Our common future.” New York, p.8, 1987.4. Haapala, K. R., Zhao, F., Camelio, J., Sutherland, J. W., Skerlos, S. J., Dornfeld, D., Jawahir, I. S., Clarens, A. F., and Rickli, J. L., "A Review of Engineering Research in Sustainable Manufacturing." J. Manufacturing Science and Engineering, 135 (4): 041013, 2013.5. Nidumolu, R., Coimbatore P. K., and
Science Foundation for support of this research (Award # EEC-1734347). The views expressed herein are solely the authors’. References[1] R. Brent, M. Orr, C. E. Brawner, and C. Mobley, “Who tells your story? A card-sort activity for eliciting authentic narratives,” International Journal of Qualitative Methods, vol. 20, pp. 1-11. 2021.[2] R. W. Lent, S. D. Brown, and G. Hackett, Social cognitive career theory,” in Career choice and development, 4th ed., D. Brown, Ed. San Francisco, CA: Jossey-Bass, 2002, pp. 255- 311.[3] K. Meyers, V. Goodrich, S. Blackowski, and E. Spingola, “Factors affecting first-year engineering students’ choice of majors,” International Journal of
Teaching Practices, Students’ Self-Perceptions, and Gender,” Rev. High. Educ., vol. 24, pp. 173–191, Dec. 2001, doi: 10.1353/rhe.2000.0028.[3] J. Ponterotto, “Racial/ethnic minority and women students in higher education: A status report,” New Dir. Stud. Serv., vol. 1990, pp. 45–59, Aug. 2006, doi: 10.1002/ss.37119905206.[4] S. J. Quaye and S. R. Harper, “Faculty Accountability for Culturally Inclusive Pedagogy and Curricula,” Lib. Educ., vol. 93, no. 3, pp. 32–39, 2007, Accessed: Jan. 26, 2022. [Online]. Available: https://eric.ed.gov/?id=EJ775570[5] J. Milem, M. Chang, and A. Antonio, “Making Diversity Work on Campus: AResearch- Based Perspective,” May 2012.[6] G. L. Bauman, L. T. Bustillos, E. M. Bensimon, M. C. B. Ii, and R
based upon work supported by the National Science Foundation under GrantNos. 2010237 and 2010139. We wish to thank the student participants in the Design Talksproject.ReferencesBloome, D., Carter, S. P., Christian, B. M., Otto, S., & Shuart‐Faris, N. (2004). Discourse analysis and the study ofclassroom language and literacy events: A microethnographic perspective. Mahwah, NJ: RoutledgeCapobianco, B.M., DeLisi, J., & Radloff, J. (2018). Characterizing elementary teachers’ enactment of high-leveragepractices through engineering design-based science instruction. Science Education. 102(2), 342–376.Carlone, H. B., Mercier, A. K., & Metzger, S. R. (2021). The Production of Epistemic Culture and Agency during aFirst-Grade Engineering
we know some prior distribution of the parameter 𝜃𝜃, it can be used to generate valuesfor 𝛽𝛽0 and 𝛽𝛽1. In this case since we don’t have any prior knowledge about the distribution of theparameters 𝛽𝛽0 and 𝛽𝛽1, we model 𝜃𝜃 as normally distributed with mean 0 and the standarddeviation σ: 𝜃𝜃~𝑁𝑁(0, σ). On average, these priors will yield Pr( 𝐸𝐸 ≤ 69) = Pr( 𝐸𝐸 > 69) = 0.5,i.e., equally likely, indicating self-reported study habits are equally likely to predict bothoutcomes.MethodsA. ParticipantsThe participants in this study were students enrolled in one of four classes, ElectricalEngineering (EE)351, EE310, Engineering Technology (ET)240, and Engineering (ENGR)100,spread over 1, 7, 3, or 1 semester(s), respectively, for
thecontributions of many graduate teaching assistants who have coded questions. Specifically, forthis presentation, we acknowledge the contributions of Priyam Mazumbar, who helped create theJupyter workspace example and Advai Podduturi who enabled autograding of R Jupyterworkspace cells, building upon the R autograder developed by Dirk Eddelbuettel for PL:https://github.com/eddelbuettel/pl-r-demosReferences[1] J. Sweller, "Cognitive load during problem solving: Effects on learning" Cognitive Science, vol. 12, no. 2, p. 29, 1988. https://doi.org/10.1016/0364-0213(88)90023-7.[2] J. L. Sewell, L. Santhosh, and P. S. O’Sullivan, “How do attending physicians describe cognitive overload among their workplace learners?” Med Educ. 54: 1129
’ reflective growth practices.Malinda S Zarske (Teaching Associate Professor) Dr. Malinda Zarske is the Chair of ASEE's Commission on P-12 Engineering Education. She is also a Teaching Professor in the Integrated Design Engineering program at the University of Colorado Boulder. She teaches undergraduate product design and core courses in engineering, as well as STEM education courses for pre-service teachers and professional development around equitable STEM teaching for inservice teachers.Elizabeth Litzler (Director) Elizabeth (Liz) Litzler, Ph.D., is the Director of the Center for Evaluation & Research for STEM Equity (CERSE) at the University of Washington (UW) and an Affiliate Assistant Professor in UW Sociology. She
acknowledge thecorresponding author Dr. Bahar Memarian for the analysis and write-up of the research studyand Dr. Andrew Olewnik for providing resources and guidance on this work.References[1] L. Riebe and D. Jackson, “The Use of Rubrics in Benchmarking and Assessing Employability Skills,” J. Manag. Educ., vol. 38, no. 3, pp. 319–344, 2014.[2] K. Elias and C. Drea, “The Co-Curricular Record: Enhancing a Postsecondary Education,” Coll. Q., vol. 16, no. 1, 2013.[3] M. Ohland, S. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. Layton, “Persistence, engagement, and migration in engineering programs,” J. Coll. Stud. Dev., vol. 97, no. 3, pp. 259–278, 2008.[4] G. Clark, R. Marsden, J. Whyatt, L. Thompson, and M
Undergraduates supplement to NationalScience Foundation award EEC-1824610.References[1] D. H. Jonassen, "Toward a design theory of problem solving," Educational Technology Research and Development, vol. 48, pp. 63-85, 2000.[2] D. H. Jonassen, "Engineers as problem solvers," in Cambridge handbook of engineering education, A. Johri and B. M. Olds, Eds., ed New York: Cambridge University Press, 2014, pp. 103-118.[3] H. J. Passow and C. H. Passow, "What competencies should undergraduate engineering programs emphasize? A systematic review," Journal of Engineering Education, vol. 106, pp. 475-526, 2017.[4] N. Shin, D. H. Jonassen, and S. McGee, "Predictors of well-structured and ill-structured problem solving in
Learning Management System (LMS). The instructor introduced itto the students in the first week of class. The instructor used an electronic whiteboard in everyclass and followed the ETW instructor writing guidelines to demonstrate the note-takingprocess.Data Collection and AnalysisData were collected from online surveys, pre- and post-surveys, and students’ submitted notes(IRB-0-218). The pre-survey included several demographics, contextual-related items, open-ended questions, and several items from previously validated scales. These scales were: (1) twoitems of study environment items from Pintrich et al.’s [44] Motivated Strategies for LearningQuestionnaire (MSLQ); (2) eight items of self-efficacy for learning and performance scale fromMSLQ; (3
, M. DeMonbrun, C. Crockett, S. Tharayil, P.Shekhar, C. Waters, and R. Rosenberg, "Instructor strategies to aid implementation of activelearning: a systematic literature review," International Journal of STEM Education, vol. 8, no. 1pp. 1-18, 2021.[6] B. Chen, K. Bastedo, and W. Howard, "Exploring Design Elements for Online STEMCourses: Active Learning, Engagement & Assessment Design," Online Learning, vol. 22, no. 2,pp. 59-75, 2018.[7] A. Khan, O. Egbue, B. Palkie, and J. Madden, "Active learning: Engaging students tomaximize learning in an online course," Electronic Journal of E-Learning, vol. 15, no. 2, pp.107-115, 2017.[8] G. E. Hall, and S. M. Hord, Implementing Change: Patterns, Principles, and Potholes.Pearson Education, Inc., 2014
the pandemic on their learning than FYE students. It could be thatupper-level students are not attempting to build new connections and thus they do not feel thetransition affected their sense of belonging. It is also interesting to note that upper-level studentsprovided briefer responses about effects of the transition to online learning than FYE students,which could be an indication that they did not feel a strong effect of the pandemic on theirlearning. Freeman et al.’s study of sense of belonging in college freshmen supports this idea thatsense of belonging relates to student learning [4]. Some students reported relying on technology,such as social media platforms, to connect with other students and groups. Upper-level studentsreported
Mechanical Science and Engineering at the University of Illinois. He has experience in both industry and pre-college education before becoming involved in educational outreach at the University. In his current role, Joe received many awards including NSTA's Distinguished Informal Science Educator Award for his outstanding work bringing motivational educational experiences to students across the country. © American Society for Engineering Education, 2022 Powered by www.slayte.comDesigning Effective Student-directed Research Experiences for High School Students (Work in Progress)INTRODUCTION As global growth accelerates in science and technology (S&T
and David Thomas. 2000. The pragmatic programmer: from journeyman tomaster. Addison-Wesley Longman Publishing Co., Inc., USA.[4] Ramachandran, L., & Gehringer, E. F. (2012, June), An Automated Approach to Assessingthe Quality of Code ReviewsPaper presented at 2012 ASEE Annual Conference & Exposition,San Antonio, Texas. 10.18260/1-2—20914.[5] Brown, T., & Walia, G. S., & Radermacher, A. D., & Singh, M., & Narasareddygari, M. R.(2020, June), Effectiveness of Using Guided Peer Code Review to Support Learning ofProgramming Concepts in a CS2 Course: A Pilot Study Paper presented at 2020 ASEE VirtualAnnual Conference Content Access, Virtual Online. 10.18260/1-2—34504.[6] B Hayes, D., 2019. Rubber Duck Debugging: The
potential indicatorof success in technical programs. In this study the objective is to search for specific trends thatpredict improvements in scores in a standardized visualization test for two different cohort groups.The trend could be of specific question number(s), or as specific question group. The grouping isbased on the number and type of manipulations (rotations) required to reach the orientationrequired. In order to identify those possible trends, predictive analytics techniques are utilized,thus requiring the development of a validated predictive model that serves to identify potentialtrends. Predictive analytics has been used extensively in business environments and there havebeen applications in an academic setting, but its application
students will build on the results from the quantitative phaseand provide further understanding and interpretations.References[1] D. Patnaik, Wired to care: How companies prosper when they create widespread empathy. Ft Press, 2009.[2] G. Guanes, L. Wang, D. A. Delaine, and E. Dringenberg, "Empathic approaches in engineering capstone design projects: student beliefs and reported behaviour," European Journal of Engineering Education, pp. 1-17, 2021.[3] N. W. Sochacka, K. M. Youngblood, J. Walther, and S. E. Miller, "A qualitative study of how mental models impact engineering students’ engagement with empathic communication exercises," Australasian Journal of Engineering Education, pp. 1-12, 2020.[4] J
Paper ID #37475WIP: Teams for Creating Opportunities for Revolutionizingthe Preparation of Students (TCORPS) at the Department ofMechanical Engineering, Texas A&M UniversityEmma EdogaMindy BergmanM Cynthia Hipwell (Oscar S. Wyatt, Jr. '45 Chair II Professor)Chris Seets naKaran Watson (Provost Emeritus & Sr. Professor) Karan L. Watson, Ph.D., P.E., is currently Provost Emeritus and a Regents Senior Professor of Electrical and Computer Engineering, having joined the faculty at Texas A&M University in 1983 as an Assistant Professor. She served as the Co- Director of the Institute for Engineering Education
– The Process of Modern Civil Engineering in Higher Education,” Procedia - Soc. Behav. Sci., vol. 141, pp. 763–767, Aug. 2014, doi: 10.1016/j.sbspro.2014.05.134.[4] A. Pérez-Foguet and B. Lazzarini, “Continuing professional education in engineering faculties: Transversal integration of sustainable human development in basic engineering sciences courses,” J. Clean. Prod., vol. 218, pp. 772–781, May 2019, doi: 10.1016/j.jclepro.2019.02.054.[5] Y. Luo and W. Wu, “Sustainable Design with BIM Facilitation in Project-based Learning,” Procedia Eng., vol. 118, pp. 819–826, 2015, doi: 10.1016/j.proeng.2015.08.519.[6] S. Adhikari et al, “The use of parametric modeling to enhance the understanding of concrete formwork structures,” in