in hand. In Problems of Education in the 21st Century, page 54. . [4] A.C. Burrows. Partnerships: A systemic study of two professional developments with university faculty and k-12 teachers of science, technology, engineering, and mathematics. Problems of Education in the 21st Century, 65(1):28–38, . [5] A.C. Burrows, M. DiPompeo, A. Myers, R. Hickox, M. Borowczak, D. French, and A. Schwortz. Authentic science experiences: Pre-collegiate science teachers’ successes and challenges during professional development. Problems of Education in the 21st Century, 70:59–73, . [6] A. Burrows, M. Lockwood, M. Borowczak, E. Janak, and B. Barber. Integrated stem: Focus on informal education and community collaboration through
. [Accessed Jun. 16, 2020].[5] C. Hodges, S. Moore, B. Lockee, T. Trust, and A. Bond, "The Difference Between Emergency Remote Teachingand Online Learning". Mar. 2020. [Online]. Available: EDUCAUSE Review, https://er.educause.edu. [AccessedJun. 5, 2020].[6] A.D. Dumford and A. L. Miller, "Online Learning in Higher Education: Exploring Advantages andDisadvantages for Engagement." Journal of Computing in Higher Education : Research & Integration ofInstructional Technology, vol. 30, no. 3, pp. 452–465. Apr. 2018. [Online]. Available: WorldCat Discovery,https://boisestate.on.worldcat.org. [Accessed Jun. 15, 2020].[7] D. Lederman. "What Do We Know About This Spring's Remote Learning?" Inside Higher Ed. Jun. 2020.[Online]. Available: Inside Higher Ed
engineering design. © American Society for Engineering Education, 2021 2021 ASEE Midwest Section Conference b. Apply engineering skills and techniques to determine the root cause(s) and develop recommended solutions of the key problem(s). c. Develop skills to work on a multi-functional team. d. Develop skills in data gathering and interaction with production and management level employees, in a professional and ethical manner and recognizing the need for lifelong learning. e. Hone communications skills for oral presentations and written reports. 2.3. Subject Matter Expert Involvement The subject matter expert (SME) is an individual who has a high level of expertise
their robots (b) One student programming her robots Figure 1: Demonstration of the robotics activities in Fayette County in early 2020.Since March 2020, the VEX simulator over vr.vex.com has been the main platform for theparticipating middle school students to program robots virtually. At each participating middleschool, one teacher serves as the coordinator of the COVERAGE project, and he/she has a realVEX IQ robot. When a middle school student verifies her codes over the vr.vex.com platform,she could ask the teacher to test her codes using the real robot. In Fall 2020 and Spring 2021,online instructions were offered every week via Microsoft Teams, intending to guide theparticipating middle school students to program
inwireless and mobile network courses. The protocols and standards include IEEE 802.11 (a, b, gor simply WiFi) [5], Bluetooth (IEEE 802.15 [6]) and WiMAX (802.16) [7]. The CNSA(Computer Networking and Systems Administration) program [9] in the School of Technology[10] at Michigan Technological University [11] offers several courses in networking and systemadministration. In general, students can learn about many networking systems, but had rareopportunity to face the performance trade offs involved in designing a system using simulationsoftware. In newly designed Mobile and Wireless Network course (SAT2600) with enhancedlaboratory experiments have demonstrated effectiveness in teaching the concepts of differentwireless network technologies [4]. This
the project teams was 3.94 in year one and 3.84 in year two.To better understand how the student perceptions of team comfort and creativity changedbetween the two years, the Pearson’s product moment correlation coefficient was calculated.The calculation was based on a correlation matrix for the question about creativity. Thecorrelation coefficient represents how closely correlated one variable is to another on a scalefrom 1 to -1. The results are shown in Figure 3. The creativity was more strongly correlatedwith the team and comfort level in the 2017 experiment, after the instructor led discussion. (a) First implementation (2016) of third- (b) Second implementation (2017) of year intervention
Paper ID #33359Examining In-Person and Asynchronous Information-Seeking BehaviorInstruction Among First-Year Engineering StudentsDr. George James Lamont, University of Waterloo George Lamont is a member of the Department of English Language and Literature at the University of Waterloo. George is one of many instructors who teach first-year communications courses to engineers and sciences, in addition to courses in writing and rhetoric.Ms. Stephanie Mutch, University of Waterloo Stephanie Mutch works in Information Services and Resources at the University of Waterloo Library. Stephanie holds an MA in Criminology and
Taxonomy to Support Data Visualization Capacity Skills,” In E- Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Association for the Advancement of Computing in Education (AACE), pp. 1039- 1053, Nov. 2019.3) B. Fry, Visualizing data: Exploring and explaining data with the processing environment. " O'Reilly Media, Inc., 2008.4) M. Hu, S. Cleland, and S. Burt, “Build up a Constructivist Learning Environment for Teaching First-year Students Data Flow Diagrams,” In 2019 IEEE Frontiers in Education Conference (FIE) (pp. 1-8). IEEE, 2019.5) D. Jonassen, “Designing constructivist learning environments”, Instructional Design Theories and Models: A New Paradigm of Instructional Theory, vol. 2
© 2008, American Society for Engineering Educationmodulus of the wall is E= 2.6 x 105 N/m2 and the wall thickness of 0.4 to 0.66 mm wasdetermined using M-mode measurements and B-mode ultrasound, respectively. Themodel was solved using an iterative coupled algorithm with the equations of motion ofthe flow and the wall movement solved simultaneously.General flow characteristics show skewed velocity profiles near the divider wall due tothe branching of the bifurcation arteries. Strong asymmetric secondary flow was onceagain found in the bulb area. The slow flow zone extends into the common carotidduring the more disturbed decelerated flow. There is a significant overlap between highwall mechanical stress zones and low wall shear stress zones near
Paper ID #32371Engineering Students’ Experiences of Socially-mediated Exclusion andInclusion: Role of Actors and DiscoursesMs. Minha R. Ha, York University Minha is a PhD Candidate in Mechanical Engineering, whose qualitative research focuses on the socio- technical knowledge integration in engineering design practice. As an interdisciplinary researcher with formal training in Molecular Biology and Education Research, she integrates grounded theory and Critical Discourse Analysis methods in order to study the transdisciplinary aspects of responsible design. Inquiry learning and knowledge co-creation are at the heart of
mentoring Student support Collaborative learning Community Welcoming spaces Personal connectionsLiterature review: Inclusive learning environments best practices Reference available upon request “Making Culture” Report - ExCITe Center RecommendationsKim, Y., Edouard, K., Alderfer, K. and Smith, B. (2018). Making Culture: A National Studyof Education Makerspaces. [online] Drexel University. Creating an Inclusive Makerspace CultureGoal: increase student sense of belonging in undergraduateengineering students by integrating inclusive and equitableelements into an academic makerspace. Work Engagement
: Programs,best practices, and recommendations.”, Journal of Engineering Education, 100.1 (2011): 89-122.[8]. S. Rojstaczer, and C. Healy, “Grading in American colleges and universities”, TeachersCollege Record 4 (2010): 1-6.[9]. J. Schinske, and K. Tanner, “Teaching more by grading less (or differently)”, CBE - LifeSciences Education 13.2 (2014): 159-166.[10]. B. N. Geisinger, and D. R. Raman, “Why they leave: Understanding student attrition fromengineering majors”, International Journal of Engineering Education, 29.4 (2013): 914.[11]. T. Kotzé and P. D. Plessis, “Students as ‘co‐producers’ of education: a proposed model ofstudent socialisation and participation at tertiary institutions,” Quality Assurance in Education,vol. 11, no. 4, pp. 186–201
thinking and systems thinking. 3. Cybersecurity topics from each of the following areas: a) Data Security: protection of data at rest, during processing, and in transit. b) Software Security: development and use of software that reliably preserves the security properties of the protected information and systems. c) Component Security: the security aspects of the design, procurement, testing, analysis, and main- tenance of components integrated into larger systems. d) Connection Security: security of the connections between components, both physical and logical. e) System Security: security aspects of systems that use software and are composed of components and connections. f) Human Security: the study of
Paper ID #34313Work in Progress: Using Cost-effective Educational Robotics Kits inEngineering EducationMs. Caroline Grace Sawatzki, Saginaw Valley State University Caroline Sawatzki is a senior in the Electrical & Computer Engineering program at Saginaw Valley State University (SVSU), and has adopted a double minor in Mathematics and Japanese. Caroline expresses her love for helping her peers succeed academically through her employment at the SVSU Writing Center, where she assists students in the development of their professional and research writing skills. During her undergraduate education, Caroline has visited
twofold: a) to communicate the process of building an effectiveassessment program for ABET accreditation from the ground up; and b) to share best practiceswith others who offer degree programs in Engineering Technology or similar degrees.IntroductionHigher education institutions value accreditation and strive to acquire the accreditation status notonly to offer quality education and services to students but also to build confidence among thepublic in the value of the program the institutions have to offer. Accrediting bodies highlight theneed for program assessment, evaluation and continuous improvement as a quality assuranceprocess to help maintain the rigor and relevance of the program to the professions it serves.Accreditation status
Computational Thinking course for non-majors. An initialquantitative evaluation of the visualizations raised questions about their long-term effectivenessand ease of use. This study represents a qualitative study done to gain deeper insight into theexperiences of students. The results of this study demonstrated students were engaging withcourse materials in unexpected ways but frequently referred back to the visualizations.Additionally, students had an approach to understanding the visualizations that was both helpfuland problematic. These findings help to inform visualization and curriculum designers aboutstudent attitudes and strategies in using course materials.1 IntroductionDue to the abstract nature of Computer Science it is not uncommon for
Paper ID #32960Shrinking the Construction SiteDr. Nicholas Tymvios, Bucknell University Nicholas Tymvios received a B.S. and M.S. degree in Civil Engineering from Purdue University in 1999, and 2002 respectively. After working for four years in Cyprus in the construction industry, he was ac- cepted into the Ph.D. program at Oregon State University, where he graduated in 2013 with a degree in Civil Engineering with emphasis in Construction Engineering and Management. His area of concentra- tion is construction safety, and in particular Prevention through Design. Upon graduation, he worked for four years as an Assistant
peer leaders to promotein-class discussion, engage students in problem solving, and provide pre-class worksheets and weeklyquizzes to scaffold learning.Summary and ConclusionsFaculty interviews, surveys, and progress reports in conjunction with student course surveys indicateimportant changes in instructional practices including: (a) Increased use of peer-to-peer learning; (b)Reorganization of large science lectures into smaller, more student-centered sections that favor pre-classworksheets, weekly quizzes, and group problem solving; (c) Decrease in faculty-led lectures toaccommodate student led problem solving and reporting out of their solutions in class. In this context, peerleaders have been a notable strategy found successful during the
Intervention that Increases Underserved College Students' Success," AAC&U Peer Review, vol. Winter/Spring 2016, pp. 31-36, 2016.[11] V. Sathy and K. A. Hogan, "Want to Reach All of Your Students? Here’s How to Make Your Teaching More Inclusive," The Chronicle of Higher Education, 2019.[12] S. Freeman et al., "Active learning increases student performance in science, engineering, and mathematics," Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410-8415, 2014.[13] C. Hoessler, "Identifying and Leveraging Forces that Hinder and Support Change in Teaching and Learning," in International Society for the Scholarship of Teaching and Learning, Atlanta, GA, Oct 9-12, 2019 2019.[14] B. L
issues in aviation. Routledge, 2018.[34] B. Gagliardo, “Against the Wind: A Study on Aviation as a Female Career Choice,” Ed.D. disseration, Dept. of Org. Leadership, Brandman University, Irvine, CA, 2020.[35] R. K. Lutte, and C. Huang, “Aviation outreach,” in Engaging the Next Generation of Aviation Professionals, S. K. Kearns, T. J. Mavin, S. Hodge, Eds. Routledge, 2019.[36] S.A. Hewlett, M. Marshall, and L. Sherbin, “How Diversity Can Drive Innovation” in Harvard Business Review, vol. 91, no. 12, p. 30, 2013.[37] R.I. Lerman, “Why Firms Do and Don’t Offer Apprenticeships” in Vocational Education and Training in Times of Economic Crisis, M. Pilz, Ed. Cham: Springer International Publishing 2017, pp.305-320.[38] U.S
. Fennema, & L. B. Adajian (Eds.), New directions for equity in mathematics education (pp. 329–347). New York, NY: Cambridge University Press.[42] R.M. Groves, E. Singer, and A. Corning. 2000. “Leverage-saliency theory of survey participation— description and an illustration.” Public Opinion Quarterly, 64(3):299–308[43] B.A. Peterson. 2014. “Scrutiny instead of silence.” Democracy & Education, 22 (2), 1-3.[44] T. Airaksinen. 2017. “Social justice warriors are ruining engineering, prof warns.” CampusReform. Available: https://www.campusreform.org/?ID=9543 [Accessed Sept. 14, 2020].Appendix.Course types with ESI integration taught by instructors who integrated SJP into their teachingcompared to course types taught by those not
,” Psychology of Women Quarterly, vol. 43, no. 2, pp. 165–183, 2019. [4] K. N. Smith and J. G. Gayles, “Girl power”: Gendered academic and workplace experiences of college women in engineering,” Social Sciences, vol. 7, no. 1, p. 11, 2018. [5] S. L. Eddy and S. E. Brownell, “Beneath the numbers: A review of gender disparities in undergraduate education across science, technology, engineering, and math disciplines,” Physical Review Physics Education Research, vol. 12, no. 2, p. 020106, 2016. [6] H. Shen, “Mind the gender gap,” Nature, vol. 495, no. 7439, p. 22, 2013. [7] J. Ellis, B. K. Fosdick, and C. Rasmussen, “Women 1.5 times more likely to leave STEM pipeline after calculus compared to men: Lack of mathematical confidence a
4. create and quantify a design. Module Topics Sample Learning Goals & Activities Week 3: Design • Understand how to relate mechanism to function. Challenge Part B: • Understand how different mechanisms can accomplish the same Ideation, Biological function (practice SFM thinking). Analogies, and Low- • Identify Biological Analogies/Create Design* Fidelity Prototypes o Effectively search the biological literature using functions (and synonyms/antonyms) and environments to find multiple examples. o Express biological systems using SFM language that
, 2010.[12] E. Godfrey, A. Johri, and B. Olds, "Understanding disciplinary cultures: The first step to cultural change," Cambridge Handbook of Engineering Education Research, pp. 437- 455, 2014.[13] E. A. Cech and T. J. Waidzunas, "Navigating the heteronormativity of engineering: The experiences of lesbian, gay, and bisexual students," Engineering Studies, vol. 3, pp. 1-24, 2011.[14] M. Tremblay, T. Wils, and C. Proulx, "Determinants of career path preferences among Canadian engineers," Journal of Engineering and Technology Management, vol. 19, pp. 1-23, 2002.[15] R. W. Lent, S. D. Brown, and G. Hackett, "Contextual supports and barriers to career choice: A social cognitive analysis," Journal of
Paper ID #32932WIP: Student Training in Data Analytics Approaches for BioprocessingThrough Co-Curricular ActivitiesDr. Maryam Mobed-Miremadi, Santa Clara University Dr. Maryam Mobed-Miremadi is a Senior Lecturer at Santa Clara University. She is a chemical engineer (B Eng, M Eng, McGill University Canada) by training with an emphasis on transport and microencapsu- lation technologies for bioengineering applications. She graduated from McGill University with a Ph.D. in Chemical Engineering having conducted her research at the Artificial Cells and Organs Research Centre. Following graduate school she spent 12 years in the
, 2017.[7] C. Stanford, R. Cole, J. Froyd, C. Henderson, D. Friedrichsen, and R. Khatri, “Analysis of Propagation Plans in NSF-Funded Education Development Projects,” J. Sci. Educ. Technol., vol. 26, no. 4, pp. 418–437, Aug. 2017.[8] C. Stanford, R. Cole, J. Froyd, D. Friedrichsen, R. Khatri, and C. Henderson, “Supporting sustained adoption of education innovations: The Designing for Sustained Adoption Assessment Instrument,” Int. J. STEM Educ., vol. 3, no. 1, p. 1, Dec. 2016.[9] M. B. Miles, H. A. Michaek, and J. Saldaña, Qualitative Data Analysis A Methods Sourcebook Edition 3. 2017.
average of correct answers thateach student had in each of the methods. A. Instructor Guided Method: The assessment for the Instructor Guided Method was completed by 22 students. On average, students got 2.4 out of the 5 questions correct. Figure 6 shows the percentage of students that had a certain number of correct answers in this assessment overall. For example, 13.6% of students did not get any questions correct and 4.5% got all the questions for this module correct. Per question type, 56.8% of the students got the correct answers for the theoretical questions and 42.4% of students got the correct answers for the RStudio questions. B. Think-Pair-Share Method: The assessment for the Think-Pair-Share Method
captured in this paper. We also acknowledge the financial support for thelarger study by Quanser, National Sciences and Engineering Research Council (NSERC), andOntario Graduate Scholarships program.References[1] B. Johnson, “Reflections: A Perspective on Paradox and Its Application to Modern Management,” J. Appl. Behav. Sci., vol. 50, no. 2, pp. 206–212, 2014.[2] W. K. Smith and M. W. Lewis, “Toward a Theory of Paradox: A dynamic equilibrium model of organizing,” Acad. Manag. Rev., vol. 36, no. 2, pp. 381–403, 2011.[3] G. Calabresi, The Future of Law & Economics. New Haven, CT: Yale University Press, 2016.[4] H. Nowotny, P. Scott, and M. Gibbons, Re-Thinking Science: Knowledge and the public in an age of
Paper ID #32340Using Quizzes Effectively: Understanding the Effects of Quiz Timing onStudent Motivation and Knowledge RetentionMajor John Case, United States Military Academy JOHN CASE is a U.S. Army Officer in his 12th year of active duty service and is an Assistant Professor in the Department of Systems Engineering at the United States Military Academy. He holds master’s degrees in Operations Research from Virginia Tech and Engineering Management from the Missouri University of Science and Technology. He is in the Operations Research functional area of the Army and has research interests in operations research, data
Paper ID #34736Differences in Perceptions of Instructional Support between U.S. andInternational Students Before and During COVID-19Dr. Ziyan Bai, University of Washington Ziyan Bai holds a Ph.D. in educational leadership and policy studies with foci on higher education and mixed-method education sciences. She has over seven years of research and professional experience in the field of higher education. With a dedication to diversity, equity, and inclusion, she is committed to using qualitative and quantitive research to inform impact-driven decisions.Dr. Denise Wilson, University of Washington Denise Wilson is a