did the project. There were 13undergraduate students who did the project while 32 did service learning. We removed the 7graduate students in this analysis. The average grade of the experimental / project learning groupwas a C+ (course total 79/100) while that of the control group /service learning group was onegrade up, a B (course total 83/100). However, note that students who did the service learning partof the course scored 1 points higher than the students who did the project learning. But even aftertaking this in account, the service learning students scored on average higher than the projectlearning students.3.2 Tracking student progressTo track student progress, we used GivePulse, an online website that allows listing, finding
psychological and academic help seekingorientation. Informed consent was given through the online survey process. Regression analysiswas used to predict cumulative grade point average (GPA) with the predictor variables of ACTmath, English, reading, and reasoning scores, high school rank, a depression rating scale andthree help seeking scales.InstrumentsHS-Tendencies scale [5]. This 23 question scale measures students’ tendencies to engage in avariety of help seeking behaviors. Karabenick and Knapp [5] classified the items of the HS-Tendencies scale into eight categories: (a) general intention to seek needed help (i.e., “If Ineeded help in this class I would ask someone for assistance”); (b) intentions to avoid seekinghelp (i.e., “If I didn’t understand
); (b) Communication skills (e.g., effectively communicate to wider audience through verbal, and written communication about engineering design process) and (c) Problem Solving skills (e.g., work well with hands, think practically to find a solution to an engineering problem).Students complete demographic and self-efficacy surveys at the beginning of the semester.Students then attend 14-weeks class activities in engineering modeling and design such astransforming an analytical model into working code to run on a simulation software, buildingstatistical model of an engineering process, develop test methods to check if a prototype meetsthe specifications, and operate engineering tools and common workshop machinery. At the endof
b. benefit society or advance desired societal outcomes (Broader Impacts)? 2. To what extent do the proposed activities suggest and explore creative, original, or potentially transformative concepts? 3. Is the plan for carrying out the proposed activities well-reasoned, well- organized, and based on a sound rationale? Does the plan incorporate a mechanism to assess success? 4. How well qualified is the individual, team, or organization to conduct the proposed activities? 5. Are there adequate resources available to the PI (either at the home organization or through collaborations) to carry out the proposed
Paper ID #29106The Community-Engaged College: Grand Valley State University’s Industryand Community Partnership ModelCasey Thelenwood, Grand Valley State University Casey Thelenwood is the Assistant Dean for the Grand Valley State University (GVSU) Seymour and Esther Padnos College of Engineering and Computing. Casey received her B.A. in Education from the University of Michigan, Ann Arbor, her M.Ed. from Grand Valley State University, and is currently pursuing a MBA degree. She is a Certified Research Administrator through the Research Administrators Certification Council.Dr. Paul D. Plotkowski, Grand Valley State
Course Learning Outcomes ABET Activity 1 2 3 4 5 6 7 8 9 Outcomes 1) Buoyancy 2) Mass Flow Determination a, b, c, d, e, 3) Pressure Drop f, g 4) Time to Empty Tank 5) Friction Loss vs. Reynold's #Activity #1 (Assignment presented in [2]): The activity investigates the buoyancy effects by tap and salty water on an object immersed in water. A balance, weight scale, beakers and other needed equipment were provided to students. The students had
direction per time step (assuming particles have a 25% of jumping in each direction). (b) Depiction of Fick’s 1st law: blue numbers with arrows indicate the flux of particles through that blue dotted line.Fick’s 2nd law describes how concentration will change over time. Figure 3a retains the bluenumbers indicating flux from Figure 2b and adds green numbers indicating how many atoms willbe gained or lost at each x-position. The change in number of atoms is simply the sum of theatoms entering or leaving that x-position, i.e. the flux on either side. For example, at x=2, the fluxon the left is zero and the flux on the right is -1 (1 to the left). So, the number of atoms at x=2will increase by 1 at the next time step. At x=3, the number of atoms
, K. Computers in the Schools, 2011, 28, 75-85.5) Berk, R. A. International Journal of Technology in Teaching and Learning, 2009, 5, 1–21.6) Rapp, W. H. (2009). Avoiding math taboos: Effective math strategies for visual-spatial learners.TEACHING Exceptional Children Plus, 6(2), 1–12.7) Desmet, C. English Journal, 2009, 99, 65–70.8) Sherer, P.; Shea, T. College Teaching, 2011, 59, 56-59.9) Hattingh, M. “A Preliminary Investigation of the Appropriateness of YouTube as anInformal Learning Platform for Pre-teens.” In: Xie, H.; Popescu, E.; Hancke, G.; FernándezManjón, B. (eds) Advances in Web-Based Learning – International Conference on Web-basedLearning. 201710) Tan, E. Learning, Media and Technology. 2013, 38, 463-477.11) Conole, G.; Dyke, M
evaluation of in-field or edge-of-field practices that may reduce them, and • Combinations of land use and management practices to maintain profitability while improving water quality.We anticipate three more cohorts of trainees, with pairs of successive cohorts overlapping ineach of the next three academic years.Table 1. Requirements for the graduate certificate in Data-Driven Food, Energy and Water Decision Making Knowledge Area Requirement Courses Fundamental Core Course A B E 690X: Biosystems for Sustainable Development (2 credits) understanding of interactions in the FEW nexus Communication Core Course GR ST 566: Communications in Science (0.5 credit) Entrepreneurship
. Time Activity August 2019 Form the advisory committee September Look for speakers by contacting industry leaders, federal or state workforce 2019 administrations and organizations, college and university educators, researchers, and K-12 teachers January 2020 Determine the time of the workshops February 2020 Announce the time and locations of the workshops and start recruiting participants March 2020 Continue recruiting workshop participants May 2020 Workshop in City A, MI June 2020 Workshop in City B, CA July 2020 Wrap up and report 4. Speaker ArrangementsOne or two speakers were expected to present in the eight sessions with
)B. Proportional-Integral ModeThe integral mode adjusts the controller output to reduce the error. If the error is large, theintegral mode changes the controller output fast. The speed of the integral action is set by thecontroller’s integral time Ti. A small integral time makes integral action fast. To compare theproportional-integral control response, we set up two different RSET_min such as 0.25 and 0.10.It is noted that RSET_min refers to the integral time (i.e., Ti). For example, the RSET_min is0.25, which means that the integral time is for 15 seconds (i.e., 0.25 × 60 sec). Similarly,RSET_min of 0.10 corresponds to integral times of 6 seconds. When the RSET_min decreases, 𝐾𝐾𝑝𝑝the
also investigates fundamental questions critical to improving undergraduate engineering degree pathways. . She earned her Ph.D. in Engineering Education from Virginia Tech. In 2013, Dr. Mohammadi-Aragh was honored as a promising new engineering education researcher when she was selected as an ASEE Educational Research and Methods Division Apprentice Faculty. American c Society for Engineering Education, 2020 Technology Interests of First-Year ECE StudentsIntroductionTypically, university engineering study is categorized into specialty areas, e.g. civil, chemical,computer, electrical, mechanical, etc. Engineering students are asked to select a major in
was very bland and did not require too much effort.”Appendix B: Qualitative Survey Results on Interdisciplinary CollaborationQ1. How did this multidisciplinary multimedia project enhance your course knowledge? “This gave me practice implementing the use of microcontrollers in a hands-on setting.” “I didn't gain any specific knowledge in completing the touch board project it onlystrengthened prior knowledge.” “It enhanced my understanding of microcontroller applications by demonstrating howthey can be used in art and ways not traditionally thought of. Prior to taking this class, Iknew quite a lot about microcontrollers, but using conductive paint was a great experience.Using a different board other than Arduino was cool
multimodal synchronous data capture in CAD. Computer-Aided Design, 59, 176–191.29. Rahman, M. H., Schimpf, C., Xie, C., & Sha, Z. (2019). A Computer-Aided Design Based Research Platform for Design Thinking Studies. Journal of Mechanical Design, 141(12), 121102.30. Hay, L., Duffy, A. H. B., McTeague, C., Pidgeon, L. M., Vuletic, T., & Grealy, M. (2017). Towards a shared ontology: A generic classification of cognitive processes in conceptual design. Design Science, 3, 1-42.31. Gleicher, M., Albers, D., Walker, R., Jusufi, I., Hansen, C. D., & Roberts, J. C. (2011). Visual comparison for information visualization. Information Visualization, 10(4), 289– 309.32. Schimpf, C., Sleezer, R.J. & Xie, C. (2018). Visualizing
could be tailored to discipline specific examples.However, all students were evaluated based on the same material, i.e., they were given the sameassignments, quizzes, midterm, and final exam.Instructor A conducted one lecture section made up of Mechanical Engineering students (L01),while Instructor B conducted two sections (L02/03) made of students from the remainingdisciplines. Both instructors conducted three weekly lectures and one weekly tutorial for theirstudents. The instructors met daily to discuss lecture content, classroom demonstrations, anddelivery pace. Although the lecture notes were different between the instructors, both sets ofdigital notes could easily be obtained by all 405 students taking the course. The biggestdifference in
model is one that values transformational partnerships rather than transactionalpartnerships. The initial testing proved the value in university-museum collaborations to ensureactivities are rigorously tested prior to dissemination, leading to the best possible educationaloutcomes and long-term usage of the activities.Improving the Engineering Pipeline Through University & Community-Developed Museum-Based Educational KitsReferenceAnderson, D., Kisiel, J., & Storksdieck, M. (2006). Understanding teachers' perspectives on field trips: Discovering common ground in three countries. Curator, 4(3), 365-386.Bell, P., Lewenstein, B., Shouse, A., & Feder, M. A. (2009). Learning sciences in informal environments: People
distinct but complementary functions: (a) a contentrepository, (b) an audience response system to deliver content, and (c) learning analytics thatprovide data to instructors and researchers. It houses over 3,000 ConcepTests, which are shortquestions that can rapidly be deployed to engage students in concept-oriented thinking and/or toassess students’ conceptual knowledge, along with more extensive concept-based active learningtools and concept inventories. Screenshots of students’ views of a ConcepTest and aninstructional tool developed during this project are shown in Figures 1 and 2, respectively. TheConcept Warehouse has grown rapidly over the last five years with over 1,200 faculty accountsand 28,000 student users (Friedrichsen, Smith, and
mathematically prepared for rigorous STEMcourses required for any engineering degree, the under-prepared population represents 15% ofour student body and discounting them from the start would be unfair to these students. We willcontinue to search for ways to support these students as they in their academic careers.ReferencesLandis, Raymond B. 2013. Studying engineering: A road map to a rewarding career (4thEdition). Burbank, CA: Discovery PressNational Center for Education Statistics (NCES), 2020. Undergraduate Retention andGraduation Rates (updated April 2020). https://nces.ed.gov/programs/coe/indicator_ctr.aspNational Center for Public Policy and Higher Education (2010). Beyond the rhetoric: Improvingcollege readiness through coherent state policy
. N., & Akkoyunlu, B. (2014, October). A new approach to equip students with visualliteracy skills: Use of infographics in education. In European Conference on InformationLiteracy (pp. 456-465). Springer International Publishing.Kardgar, A, Mentzer, N, Laux, D, Chesley, A & Whittinghill, D. (2017). Developing Strategiesfor Instruction and Assessment of Infographics for First-Year Technology Students. ASEEAnnual Conference & Exposition June, 2017, Columbus, Ohio.Krauss, J. (2012). Infographics: More than Words Can Say. Learning & Leading withTechnology, 39(5), 10-14.Lankow, J., Ritchie, J., & Crooks, R. (2012). Infographics: The power of visual storytelling. JohnWiley & Sons.Mendenhall, S., & Summers, S. (2015
students. Educational Psychologist, Vol. 36, 2001.3. Cooper, H., The battle over homework (2nd ed.). Corwin Press, 2001.4. Landis, R. B., Studying Engineering: A Road Map to a Rewarding Career. Discovery Press, 2013.5. Wood, T.W., Batouli, M., Michalaka, D., Brown, K., Book, E. K., Perspectives on an Innovative Homework Policy. American Society of Engineering Education SE Conference, 2019.6. Taylor, J., An Analysis of the Relationships Between Homework Frequency and Homework Grading Procedures of Algebra 1 Teachers on Student Outcomes as Measured on the Algebra 1 End-of-course Examination. Dissertation, University of Central Florida, 2019.7. Ellis, J., Hanson, K., Nuñez, G. et al., Beyond Plug and Chug: an Analysis of Calculus
Paper ID #30501Integrating Role-Playing Gamification into Programming Activities toIncrease Student EngagementMr. Zhiyi LiProf. Stephen H Edwards, Virginia Tech Stephen H. Edwards is a Professor and the Associate Department Head for Undergraduate Studies in the Department of Computer Science at Virginia Tech, where he has been teaching since 1996. He received his B.S. in electrical engineering from Caltech, and M.S. and Ph.D. degrees in computer and informa- tion science from The Ohio State University. His research interests include computer science education, software testing, software engineering, and programming
were: (a) to provide increased curricularflexibility, (b) to motivate and engage students in practice-based engineering experience andhigh-impact practices, (c) to foster the innovation and creativity skills, and (d) to strengthen theprofessional skills (soft skills). The mechanical engineering programs must also ensure to meetthe ABET Engineering Accreditation Commission (EAC) program criteria [8] and to addressABET EAC student outcomes (1) through (7) in the curricula [9]. Often, the desire forcurriculum revision is also met by other constraints. For example, the California Code ofRegulations Title 5 CCR §40508 mandates that no baccalaureate degree programs shall extendthe unit requirement beyond 120-semester units. An exception can be
Paper ID #30904International Faculty Professional Development: Utilizing HybridEnvironments to Deepen Learning and Grow CommunityDr. Mary Slowinski, College of the Canyons Mary Slowinski is an educator/consultant specializing in educator-industry partnerships and collaborative learning research and design. She received her PhD in Learning Science from the University of Washing- ton with a dissertation on communities of practice for educators. Mary is PI and co-PI on National Science Foundation research and special project grants focused on industry/education partnerships. In addition, she has worked with several NSF
design. The University Curriculum Committee approved the request to change thecontact hours for Structural Analysis from 3 hours of lecture per week to 2 hours of lecture plus2 hours of laboratory per week to accommodate the experiential aspects of these proposedchanges. After assessing the changes to the Structural Analysis course, we will decide whether tomake similar changes in the class meeting times for the Structural Design courses.The Structural Analysis course syllabus lists the following broad goals for the course: a) Students will develop technical skills in classical methods for analysis of determinate and indeterminate structures. b) Students will gain proficiency in analysis structures comprised of trusses, beams, frames
learning," Journal of Engineering Education, vol. 103, no. 3, pp. 369-387, 2014, doi: https://doi.org/10.1002/jee.20051.[10] C. E. Foor, S. E. Walden, and D. A. Trytten, "“I wish that I belonged more in this whole engineering group:” Achieving individual diversity," Journal of Engineering Education, vol. 96, no. 2, pp. 103-115, 2007, doi: https://doi.org/10.1002/j.2168- 9830.2007.tb00921.x.[11] M. B. Miles, A. M. Huberman, and J. Saldaña, Qualitative data analysis: A methods sourcebook, 3rd ed. Thousand Oaks, CA: SAGE Publications, Inc., 2014.[12] A. Kramer, C. Wallwey, G. Thanh, E. Dringenberg, and R. Kajfez, "A Narrative-Style Exploration of Undergraduate Engineering Students' Beliefs About Smartness and
Paper ID #29797Impact of Integrating Computation into Undergraduate Curriculum: NewModules and Long-Term TrendsMs. Grace M. Lu, University of Illinois - Urbana-Champaign Grace Lu is a Ph.D. student and the computational teaching assistant in the Materials Science and Engi- neering department at the University of Illinois at Urbana-Champaign. She obtained her B.A. in Physics and Math from Northwestern University. Her research in the Trinkle Group uses machine learning and a variational principle to calculate mass transport in alloys.Prof. Dallas R Trinkle , University of Illinois at Urbana - Champaign Dallas R. Trinkle
).Professional and Personal Use of Reflection by Engineering Faculty, Students, and Practitioners.Proceedings of ASEE Annual Conference and Exposition, Conference Proceedings, Salt LakeCity, UT.Csavina, K., Carberry, A., Harding, T., Cunningham, P. (2017). Work in Progress: Examiningthe Value of Reflection in Engineering Practice and Education. Proceedings of ASEE AnnualConference and Exposition, Conference Proceedings, Columbus, OH.Flavell, J. H. (1976). Metacognitive aspects of problem solving. In L. B. Resnick (Ed.), Thenature of intelligence (pp.231-236). Hillsdale, NJ: ErlbaumKrathwohl, D. (2002). A revision of Bloom's taxonomy: An overview. Theory intoPractice, 41(4), 212-218.Neuendorf, K. (2002). The Content Analysis Guidebook. Thousand Oaks, CA
, G. and Suehrcke, H., Lawrence Berkeley National Laboratory, Tracking the Sun, October 2019.[2] Solar Energy Industries Association Research Data, retrieved 16 Jan 2020 from: https://www.seia.org/solar-industry-research-data[3] P. McCormick and H. Suehrcke, “The effect of intermittent solar radiation on the performance of PV systems,” Solar Energy, vol. 171, pp. 667–674, Jul. 2018.[4] B. Sivaneasan, N. K. Kandasamy, M. L. Lim, and K. P. Goh, “A new demand response algorithm for solar PV intermittency management,” Applied Energy, vol. 218, pp. 36–45, Mar. 2018.[5] M. Anvari, G. Lohmann, M. Wächter, P. Milan, E. Lorenz, D. Heinemann, M. R. R. Tabar, and J. Peinke, “Short term fluctuations of wind and solar power systems,” New
Opportunities,” Current Opinion in Solid State Mater. Sci. (2017), http://dx.doi.org/10.1016/j.cossms.2016.12.001. [6] Singh, Ranbir, K. N. Narayanan Unni, and Ankur Solanki. “Improving the contrast ratio of OLED displays: An analysis of various techniques.” Optical Materials 34, no. 4 (2012): 716-723, https://doi.org/10.1016/j.optmat.2011.10.005. [7] K. K. Al-Zboon, “Phosphate removal by activated carbon–silica nanoparticles composite, kaolin, and olive cake,” Environment, Development and Sustainability, 20[6] 2707-24 (2018). [8] D. R. Edwards and T. C. Daniel, “Environmental impacts of on-farm poultry waste disposal - A review,” Bioresource Technology, 41[1] 9-33 (1992). [9] B. H. Zhang, D. Y. Wu, C. Wang
University of WashingtonGilda A. Barabino2 School of Medicine Vicki J. MagleyThe City College of New YorkMelvin Greer University of ConnecticutLisa García Bedolla Intel Corporation Roberta MarinelliUC Berkeley Linda C. Gundersen Oregon State UniversityKathryn Clancy U.S. Geological Survey Constance A. MorellaUniversity of Illinois at Elizabeth Hillman Former CongresswomanUrbana-Champaign Mills College John B. PryorLilia Cortina Timothy R.B. Johnson1 Illinois State UniversityUniversity of Michigan University of