. Sorensen, B. R. Swan, and D. K. Anthony, “A Survey of Capstone Engineering Courses in North America,” in Journal of Engineering Education, [Online] 1995.[11] J. W. Thomas, “A Review of Research on Project-Based Learning,” The Autodesk Foundation, San Rafael, California. [Online] 2000.[12] M. Gagné and E. L. Deci, “Self-Determination Theory and Work Motivation,” in Journal of Organizational Behavior, vol. 26: 331-362. [Online] 2005.[13] D. S. Yeager and C. S. Dweck, “Mindsets That Promote Resilience: When Students Believe That Personal Characteristics Can Be Developed,” in Educational Psychologist, vol. 47(4): 302-314, [Online] 2012.[14] S. Viswanathan, “Implementation of Effective Capstone Projects in
] Donaher, S., & Dancz, C. L. A., & Plumblee, J. M., & Gordon, A. S., & Patel, K. (2017,June), Reviewing the Current State of Grand Challenge Scholars Programs Across the UnitedStates Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio.10.18260/1-2--28806[4] Dancz, C. L. A., & Plumblee, J. M., & Bargar, D., & Brunner, P. W., & High, K. A., &Klotz, L., & Landis, A. E. (2016, June), A Rubric to Assess Civil Engineering Students' GrandChallenge Sustainable Entrepreneurship Projects Paper presented at 2016 ASEE AnnualConference & Exposition, New Orleans, Louisiana. 10.18260/p.26432[5] Carter, D. F., Ro, H. K., Alcott, B., & Lattuca, L. R. (2016), Co-Curricular Connections
. Seven students agreed to participate.Table 1 contains the demographic information for the seven participants. Students weredeidentified and assigned a pseudonym A-G. All students are considered “in-state” and lived oncampus at the time of the interview. All seven participants were 18-24 years old and single,never married. None of the participants had religious affiliations. There was one femaleparticipant and six male. Student B identified as Asian-American and the other six participantsidentified as Caucasian. None of the seven participants were first-generation college students. Allof the students had two parents with bachelor's degrees or higher and reported a householdincome of over $40,000.Table 1: Demographic information for the seven
Paper ID #34701The (Augmented) World Is Our CampusMr. David S. Pixton, Brigham Young University David Pixton is a subject liaison at the Harold B. Lee Library at Brigham Young University. In this role, he is responsible for providing research training and assistance to students and faculty within the majority of engineering and technology fields offered at the university. He holds degrees in Mechanical Engineering and Library and Information Science. David’s current research is focused on improving learning in a library environment, including the use of augmented reality for educational purposes, and a pedagogical
300 pharmaceutical, chemical,biotechnology, and medical device companies. His remarkable productivity in medical field hasearned him a nickname of “Edison of Medicine” [21]. Another pioneer, Donald A. B. Lindberg was committed to his visionary ideas ofapplying computer technology to healthcare. A pathologist by his medical training he was avisionary and became a leader in the use of computers in medicine. He was instrumental inestablishing the American Medical Informatics Association and became the Founding President.His pioneering work in biomedical research and health information has contributed globally inmedical informatics, patient care, cancer research, molecular biology, and other educationalprograms. He served as a director of
and pressure at the end must be known. For the exitsin a reservoir or a tank, the final elevation is considered to be on the surface of the fluid. B. Difficulty selection.Before a system could be generated, different difficulty levels needed to be identified to ensurethat a student new to the topic would receive a reasonable problem, and a more practiced studentcould be given a more challenging problem [6], [7]. There are several factors that affect thedifficulty of these problems. First, problems with either an unknown flow rate or an unknownpipe diameter are the most difficult since they require an iterative approach to finding the Darcyfriction factor, with having an unknown diameter being somewhat more difficult than anunknown flow rate
Paper ID #32964The Educative Design Problem Framework: Relevance, SociotechnicalComplexity, Accessibility, and Nondeterministic High CeilingsDr. Vanessa Svihla, University of New Mexico Dr. Vanessa Svihla is a learning scientist and associate professor at the University of New Mexico in the Organization, Information and Learning Sciences program and in the Chemical and Biological En- gineering Department. She served as Co-PI on an NSF RET Grant and a USDA NIFA grant, and is currently co-PI on three NSF-funded projects in engineering and computer science education, including a Revolutionizing Engineering Departments
stereotypes around computing and computer science, particularly when it comes to creatingcode [5].To counter these stereotypes and to increase interest and diversity in computing, new courses andopportunities that infuse computing with creative disciplines, such as the arts, have beendeveloped and made available to K-12 audiences [6-8]. In this paper, we describe a competitionpiloted in the 2019-20 school year using EarSketch [9, 10], a learn-to-code through musicremixing platform where high school students were invited to submit original remixes of songsby Grammy award-winning R&B artist Ciara. Students coded in Python or JavaScript andcreated entries that conformed to the competition rules. In this paper, we present the details ofthis pilot
of the QA strategy,engineering choices, and conclusions. Learning outcomes pertaining to analysis (see above) are hence assessed by assignment sheets,and learning outcomes pertaining to design and development are assessed by the project. Amidterm and a final exam assess a selection of all learning outcome categories. In the face-to-facecourse, all exams were completed on paper, while projects and assignments sheets were preparedand submitted digitally. In-class examples were facilitated using a combination of digital slidesand physical dry erase board, as appropriate. B. HyFlex Implementation Approach The SQA course taught during fall 2020 enrolled 17 students. Course meetings took placeTuesdays and Thursdays for 1 hour and 20
picture” Proceedings of the annual meeting of theAmerican Society for Engineering Education Annual Conference a, 12 – 15 June, Portland, OR,2005.[6] R.M. Marra and B. Bogue, “Women engineering students' self efficacy-a longitudinalmultiinstitution study”. Women in Engineering ProActive Network, 2006.[7] R.M. Marra, K.A. Rodgers, D. Shen, and B. Bogue, “Women engineering students andselfefficacy: A multi‐year, multi‐institution study of women engineering student self‐efficacy,”Journal of engineering education, vol. 98, no. 1, pp. 27 – 38.[8] J. Moore, C. D. Lovell, T. McGann, and J. Wyrick, “Why involvement matters: A reviewof research on student involvement in the collegiate setting,” College Student Affairs Journal,vol 17, no. 2, pp
Proceedings, 2002, pp. 7.528.1-7.528.14, doi: 10.18260/1-2--10558.[5] B. Mertz, H. Zhu, A. Trowbridge, and A. Baumann, “Development and Implementation of a MOOC Introduction to Engineering Course,” in 2018 ASEE Annual Conference & Exposition Proceedings, Jun. 2018, vol. 2018-June, doi: 10.18260/1-2--30317.[6] C. Brozina and D. Knight, “Credentialing MOOCs: A Case Study,” in 2014 ASEE Annual Conference & Exposition Proceedings, 2014, pp. 24.340.1-24.340.9, doi: 10.18260/1-2-- 20231.[7] J. Green and A. Cohen Sherman, “Leveraging MOOCs to Bring Entrepreneurship and Innovation to Everyone on Campus,” in 2014 ASEE Annual Conference & Exposition Proceedings, 2014, pp. 24.864.1-24.864.12, doi: 10.18260/1
look into the student writing samples. A B C D E F G H I J K L M N O P Q R S A Centrality of Military & Corporate 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 2 0 0 B Commitment to Problem Solving 0 6 3 9 0 0 3 0 1 0 5 1 2 20 0 6 0 2 C Narrow Technical Focus 0 6 0 0 1 0 1 0 1 0 2 0 0 4 1 1 0 1 D Persistence 0 3 0 1 0 0 0 0 1 0 0 0 0 3 1 1 0 0 E
Paper ID #35663BEST OVERALL DIVERSITY PAPER WINNER - An Exploratory Study ofIntentionality Towards Diversity in STEM Faculty HiringMs. Samara Rose Boyle, Rice University Samara is an undergraduate studying neuroscience at Rice University in Houston, TX. She works as a research assistant for Dr. Yvette E. Pearson in the George R. Brown School of Engineering. Her primary research focus is the advancement of diversity, equity, and inclusion in engineering education.Dr. Canek Moises Luna Phillips, Rice UniversityDr. Yvette E. Pearson P.E., Rice UniversityDr. Reginald DesRoches, Rice UniversityProf. Stephen P. Mattingly, The University of
stands for the positionformat which describes the position data. The third describes the feed rate of the code for the giveninstruction block. This could be programmed for 1 to 100% for any feed rate programmed into therobot. Finally, the fourth describes the positioning path that the robot will take depending on themotion format being either labeled as FINE or CNT. Defining the variables for motion programming canbe resulted to analyze the cycle times and consistency variables.3. Results and AnalysisIn this study, two factors were considered, the speed of the manipulator (factor A) and the terminationbath (factor B). The levels of interest for factor (Speed A) have been used as follows: 1000 mm/sec aslow level, and 2000 mm/sec as high level
such as cost, schedule, structural member sizing, etc.MethodologyThere was a total of 30 students in the temporary structure class. For a specific assignment wasprepared to introduce parametric software, students were tasked with designing the formwork fora slab. For this project, the thickness of the concrete slab was given 6 inches, the slab's length (L)292.33ft, and the width of the slab (W) 123.33 ft. For designing concrete formwork, studentsneeded to make some assumptions such as temperature, rate of placement, and other concreteproperties. Four components were considered as part of the slab formwork design as shown inFigure 1: A) SJ- sheathing (plywood panel); B) Joist – horizontal structural member supportingsheathing; C) Stringer
Appendix B). This formula rewards levers that werelightweight and fail at the target value, 30 pounds. There is an initial penalty of 20% for anylever that fails under 30 pounds. As the failure load diverges from 30, and the heavier the leveris, the greater the penalty. The students were attempting to achieve a tolerance range of minuszero to plus three pounds for the best possible score.1) In the first lab (Lab 3a), the students were provided with the design criteria for the lab (SeeAppendix A). The crux of the design is the students were attempting to have the lever fail asclose to a 30 lb. load as possible without going under. Each student arrives at a design (whichthey hand sketch only) after completing their analysis calculations. Analysis
Tennessee Board of Regents for supporting the summerprogram.References[1] Miao, L. and Li, C. “Engaging Minority and Underrepresented Engineering Students to Fight“Sophomore Slump” through a Summer Research and Enrichment Program (Research)”, 2021ASEE Annual Conference & Exposition, Virtual Conference, July 2021[2] Wood, B., and A. Ganago. "Using Arduino in Engineering Education: Motivating Students toGrow from a Hobbyist to a Professional." ASEE Annual Conference and Exposition, Salt LakeCity, Utah. 2018.[3] Hopkins, M. A., and Kibbe, A. M., 2014, "Open-source hardware in controls education,"ASEE Annual Conference, Indianapolis, IN.[4] Parker, J. M., and Canfield, S. L., 2013, "Work-in-progress: using hardware-basedprogramming experiences to
, and G. B. Forsythe, "Leadership development for engineering managers," Journal of Management in Engineering, vol. 13, no. 4, pp. 38-41, 1997.[2] B. Van Knippenberg, D. Van Knippenberg, D. De Cremer, and M. A. Hogg, "Research in leadership, self, and identity: A sample of the present and a glimpse of the future," The Leadership Quarterly, vol. 16, no. 4, pp. 495-499, 2005.[3] C. J. Atman et al., "Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education. CAEE-TR-10-02," Center for the Advancement of Engineering Education (NJ1), 2010.[4] E. Erikson
Conference on Construction and Real Estate Management, 2018, pp. 125–131.[2] N. Labonnote, A. Rønnquist, B. Manum, and P. Rüther, “Additive construction: State-of- the-art, challenges and opportunities,” Autom. Constr., vol. 72, pp. 347–366, 2016, doi: 10.1016/j.autcon.2016.08.026.[3] P. Pradhananga, M. ElZomor, and G. S. Kasabdji, “Identifying the Challenges to Adopting Robotics In the U.S. Construction Industry,” J. Constr. Eng. Manag., 2021.[4] P. Wang, P. Wu, J. Wang, H. L. Chi, and X. Wang, “A critical review of the use of virtual reality in construction engineering education and training,” Int. J. Environ. Res. Public Health, vol. 15, no. 6, 2018, doi: 10.3390/ijerph15061204.[5] A. Shepherd and B
discussionbefore, during and at the end of the semester.The final course grades are also compared between the CBL offering in Fall 2020 and the previousFall 2019 offering (traditional approaches). Figure 2 shows the percentage in grade distributionbetween the two offerings. The chart shows that the percentage of “A” and “B” grades was similar,but fewer students failed the course (corresponding to a grade of “D”, “F” or “W” – students areallowed to withdraw from the class at any point during the semester) in Fall 2020 when CBL wasimplemented with respect to the previous offering. Our experience of CBL pedagogy particularlysupports the weaker students, by focusing on their learning of the fundamental class topics.Figure 2. Course grade distribution (in
Paper ID #32258Minority Student Experiences in Engineering Graduate Programs:Socialization and Impact on Career TrajectoriesDr. Catherine T. Amelink, Virginia Polytechnic Institute and State University Dr. Amelink is Associate Vice Provost for Learning Systems in the Office of the Provost at Virginia Tech. She is also an affiliate faculty member in the Departments of Engineering Education and Educational Leadership and Policy Studies at Virginia Tech.Dr. Mayra S. Artiles , Arizona State University Mayra S. Artiles is an assistant professor in engineering at the Polytechnic School of the Ira A. Fulton Schools of Engineering
discussed theresults in the context of established metal corrosion mechanisms. The discussion emphasized thations present in the low salt condition would increase the rate of metal corrosion and the lack ofdissolved oxygen in the saturated salt condition would decrease the rate of metal corrosion [31].To conclude, students completed a post-test and post-survey to assess how their knowledge ofbiomaterials and attitudes towards STEM changed as a result of the experiment, respectively(Appendices A & B). Figure 1: Representative data demonstrating successful paperclip corrosion and quantitative fatigue bendingtests. (A) Example of a corroded paperclip after incubation in salt water. (B) Schematic representation of paperclip fatigue bending test
model to be applied in an educational setting [35]. Papert’s model focusesmore on the ways in which technology and media may be used to facilitate student learningchoices and promote life-long learning [34]. Two essential components of the constructionistlearning theory are further explored below.These two essential principles of the learning theory are identified by Kafi [6] as : (a) knowledgeconstruction and (b) learning culture. Elements of these components are highlighted in Figure 1. Knowledge Learning Construction Culture •Object •Teacher as Guide
-winning outreach activities, teaching, and learning in the technical environment andsuccess in teaching in the online environment, and volunteering with kids of all ages. Drawingon that expertise, they were able to address the following questions through programdevelopment and execution. 1. What demographic would benefit most from a virtual STEM camp program? a. How do you interact with participants using similar materials and a range of ages? b. How do you engage with these students who may be experiencing video burnout? c. What timing works best to achieve the goal of fun but an educational program? 2. How does the program timing affect the impact of the material and engagement?MethodsOne hundred fifty participants from
the PD. Collaborative design activities undertaken by the counselors allowed them topractice key traits of engineers, including problem-solving, design thinking, creativity,innovation, and collaboration. Participants were prompted to build a tower out of spaghettinoodles (Figure 1a), construct a rain shelter from newspaper (Figure 1b), and construct a roboticarm (Figure 1c). Examples of participants’ work are presented in figures below. A B C Figure 1. Sample projects from the PD program: a) spaghetti tower, b) newspaper shelter, and c) robotic armPhase III of the PD program involved sharing information about engineering
Paper ID #33437Inclusive Writing: Pre- and Post-COVID-19Dr. Teresa L. Larkin, American University Teresa L. Larkin is an Associate Professor of Physics Education and Director and Faculty Liaison to the Combined Plan Dual-degree Engineering Program at American University. Dr. Larkin conducts ed- ucational research and has published widely on topics related to the assessment of student learning in introductory physics and engineering courses. Noteworthy is her work with student writing as a learning and assessment tool in her introductory physics courses for non-majors. One component of her research focuses on the role
. 144–152, 2013.[10] I. Drewelow, “Exploring graduate teaching assistants’ perspectives on their roles in a foreign language hybrid course,” System, vol. 41, no. 4, pp. 1006–1022, 2013.[11] J. Paulsen and A. C. McCormick, “Reassessing Disparities in Online Learner Student Engagement in Higher Education,” Educ. Res., vol. 49, no. 1, pp. 20–29, 2020.[12] K. Sobel, S. Avery, and I. J. Ferrer-Vinent, “Teaching Them to Teach: Programmatic Evaluation of Graduate Assistants’ Teaching Performance,” Public Serv. Q., vol. 12, no. 3, pp. 189–213, 2016.[13] B. C. O. Neal, M. Wright, T. Perorazio, and J. Purkiss, “The Impact of Teaching on Student Retention in the Sciences,” 2002.[14] B. Melton and Y. Bodur, “Effects of a
, Fundamentals of Quality Control and Improvement, 3rd ed. Hoboken, New Jersey: John Wiley and Sons, 2008.[7] S. Eppinger and T. Browning, Design structure matrix methods and applications. Cambridge, Massachusetts: MIT Press, 2012.[8] B. Nassersharif and C. Rousseau, “Best Practices in Assessing Capstone Design Projects,” 2010.[9] B. Morkos, S. Joshi, and J. D. Summers, “Investigating the impact of requirements elicitation and evolution on course performance in a pre-capstone design course,” J. Eng. Des., vol. 30, no. 4–5, pp. 155–179, 2019, doi: 10.1080/09544828.2019.1605584.[10] R. H. Todd, C. D. Sorensen, and S. P. Magleby, “Designing a Senior Capstone Course to Satisfy Industrial Customers,” J. Eng
/biomedical engineering education and career development: Literature review, definitions, and constructive recommendations,” Int. J. Eng. Educ., vol. 24, no. 5, pp. 990–1011, 2008.[10] N. L. Ramo, A. Huang-Saad, and B. Belmont, “What is biomedical engineering? Insights from qualitative analysis of definitions written by undergraduate students,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2019.[11] R. A. Linsenmeier, “What makes a biomedical engineer?,” IEEE Eng. Med. Biol. Mag., vol. 22, no. 4, pp. 32–38, 2003.[12] D. Gatchell and R. Linsenmeier, “VaNTH Biomedical Engineering Key Content Survey, Part Two. The 2nd Step in a Delphi Study to determine the core undergraduate BME curriculum,” Am
variables added statistically significantly to the prediction, p < .05. Regressioncoefficients and concomitant statistics can be found in Table 2 (below).Table 2. Multiple regression results for Academic achievement goals Academic B 95% CI for B SE B R2 ΔR2 achievement goals LL UL Model .49 .24*** (Constant) 5.16*** 2.57 7.76 1.32 Academic motivation .899*** .69 1.11 .11 .35*** Confidence at .316*** .20 .44 .06 .21*** completing a degree