initial experiment, the proposedcurriculum divides expected learning outcomes over a larger number of lab sessions. Thisenables students to focus more effectively on a smaller number of objectives in each experiment.Future assessment aims to gauge the long-term growth in comfortability students have withprogramming additional microprocessor-based relays.References1. D. Pudjianto, C. Ramsay, and G. Strbac. “Virtual power plant and system integration of distributed energy resources,” IET Renewable Power Generation, vol. 1, no. 1, pp. 10-16, Apr. 2007.2. S. A. Gopalan, V. Sreeram, and H. H. C. Iu. “A review of coordination strategies and protection schemes for microgrids,” Renewable and Sustainable Energy Reviews, vol. 32, pp
.; Usagawa, T. “Development and evaluation of on-line quizzes toenhance learning performance: A survey of student assessment through MOODLE in IndonesianNational University.” 2014 IEEE International Conference on Information, CommunicationTechnology and System.[6] ENGAGE on-line quizzes for testing spatial visualization skills. Online source :http://www.mtu.edu/news/stories/2011/may/sorby-honored-for-spatial-visualization-work.html[7] Stanford, forum un classes http://engineering.stanford.edu/news/stanford-engineering-new-online-classes-hugely-popular-and-bursting-activity[8] University of California Berkeley Forum in classes: https://sites.google.com/site/ucbsaas/
, test, and analyze their design using a pre-madeflyback circuit module. In this experiment, students have the freedom to choose any magneticcore as long as their final test results pass the given design goals. If any of the design goals is notsatisfied, then they will have to redo the design until the design fulfills all requirements. Figure 5displays the pre-made module for the experiment. Figure 5. Inductor current hardware measurementCourse AssessmentsFor course assessment in the laboratory portion of the course, in addition to laboratory reportsubmission required for every lab experiment, students are asked to respond to the followingsurvey questions by the end of the course
skills by providing web-based trainingmodules and Skype meetings.I. Introduction The math performance of US high-school students was ranked 38th out of out of 71 countriesin the most Programme for International Student Assessment (PISA) in 2015 [1]. In addition, areport from President’s Council of Advisors on Science and Technology shows that US wouldhave one million deficits in technical workers in STEM fields if the STEM education is notimproved in the next decade [2]. Therefore, it is urgent for US educators to create new approachesto attract more high-school students in the STEM fields, especially in math, which deals withchallenging equation and symbolic operations. One way to address this issue is providinginteresting modeling projects
Develop your ideas What do I have, and what would I like to do with it? • Evaluate your research strengths (individual, departmental, institutional) • Identify specific, possible research projects, areas of emphasis for a Center, and/or related educational activities Ideas can be revised, but you need to start somewhere! 14 What else is needed? • Determine what you need to complement your strengths • Collaborator with particular skills? • Access to equipment with particular measurement capabilities unavailable commercially? • Access to samples or data? • Review the laboratory’s website and/or FLC listing to assess
Develop your ideas What do I have, and what would I like to do with it? • Evaluate your research strengths (individual, departmental, institutional) • Identify specific, possible research projects, areas of emphasis for a Center, and/or related educational activities Ideas can be revised, but you need to start somewhere! 14 What else is needed? • Determine what you need to complement your strengths • Collaborator with particular skills? • Access to equipment with particular measurement capabilities unavailable commercially? • Access to samples or data? • Review the laboratory’s website and/or FLC listing to assess
own initiative and design. Eachapplication requires students to self-identify and evaluate the engineering leadership skills andgraduate attributes that will be developed through their participation. The next section describesthe impact on leadership development in a few case studies.MeasurementStudents who partake in funded activities are often asked to present on their experiences and areexpected to share lessons learned with the wider engineering campus community. How thestudents have chosen to share that impact has varied according to their interests andinvolvements on campus. The organizers of each initiative assess the success of their organizedopportunity themselves through quantitative and qualitative measurements. Due to the
, teachers’ written and oralreflections on engineering teaching experiences, researcher field notes from the after-schoolweek, and engineering pedagogical content knowledge assessments completed by the teachers inpaper-and-pencil format before and after the CBE Institute 22.Data AnalysisMicroethnography and Coding To test our hypothesis we conducted three rounds of analysis. First, we generated thickdescriptions 23 of the cases of Ana and Ben by gathering weekly as a research team to reviewdata together and discuss the narratives we saw in the data. At these case analysis sessions, wereviewed video of Ana and Ben’s engineering design work (roughly three hours of video foreach team, from two different days of the Learn phase of the CBE Institute
4. 3-D Printing 5. Medical Innovations 6. High-Speed Travel 2 7. Robotics 8. Blockchain Technology 9. Autonomous Vehicles 10. Advanced Virtual Reality 11. Renewable EnergyStudents and universities must anticipate these disruptive technologies, assess their impact onsociety, and adapt to their influence on the future of engineering. University engineeringprograms must provide the technical foundation and equip students with the tools to recognizethe technologies and assist them in adapting to the impact these
measuring academic success. Practical Assessment, Research & Evaluation, 20(5), 1–20. Retrieved from http://pareonline.net/getvn.asp?v=20&n=5[6] Lowell, B. L., Salzman, H., Bernstein, H., & Henderson, E. (2009). Steady as she goes? Three generations of students through the science and engineering pipeline. Paper presented at the Annual Meetings of the Association for Public Policy Analysis and Management, Washington, DC.[7] Veenstra, C. P., Dey, E. L., & Herrin, G. D. (2008). Is modeling of freshman engineering success different from modeling of non‐engineering success?. Journal of Engineering Education, 97(4), 467-479.[8] Komarraju, M., Ramsey, A., & Rinella, V. (2013). Cognitive and non-cognitive
Paper ID #26640Work in Progress: A Clinical Immersion Program for Broad Curricular Im-pactDr. William H Guilford, University of Virginia Will Guilford is an Associate Professor of Biomedical Engineering at the University of Virginia. He is also the Assistant Dean for Undergraduate Education in the School of Engineering. He received his B.S. in Biology and Chemistry from St. Francis College in Ft. Wayne, Indiana and his Ph.D. in Physiology from the University of Arizona. Will did his postdoctoral training in Molecular Biophysics at the University of Vermont. His research interests include novel assessments of educational
, design activity, and design outcome," Design Studies, vol. 26, no. 6, pp. 649-669, 2005.[6] M. C. Yang, "Concept generation and sketching: Correlations with design outcome.," in ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2003.[7] B. M. Linder, Understanding estimation and its relation to engineering education, Doctoral dissertation, Massachusetts Institute of Technology, 1999.[8] D. Woods, "Teaching Problem Solving Skills," Engineering Education, vol. 66, no. 3, pp. 238-243, 1975.[9] C. Maker, "DISCOVER: Assessing and developing problem solving," Gifted Education International, vol. 15, no. 3, pp. 232-251, 2001.[10] H. L. a. A. Hosoi, "Starting
study will be determined by threeexternal factors: structuredness, complexity, and dynamicity of problem [16].There are three indicators used to assess problem structuredness: (1) the number of unknownaspects or elements in the problem [19]; (2) the number of possible methods or approaches tosolve the problem [20]; and (3) the number of potential solutions for the problem [20]. Problem’scomplexity [21] is indicated by: (1) the number of issues, functions, or variables involved in theproblem; and (2) the level of uncertainty about which concepts, rules, and principles that arenecessary to solve the problem. Problems vary in their stability or dynamicity, which indicatesthe likeliness of needing continuous adaptability for understanding of the
direct follow-ups to draw a richer narrative. This method will decrease the chance of survey fatigue andprovide us with more detail on each individual. This work in progress focused on establishing preliminary relationships within motivationand identity respectively. Ultimately, we seek to assess whether these constructs are sufficientlycorrelated that one may be used as a valid and reliable means of measuring the other. Thus, ourdata analysis will include evaluating criterion-related validity (both predictive and concurrent)[10]. If such a relationship exists, it could support the usefulness of one construct in predictingthe other. References[1] Blustein, David L., et al. “Relationship between the Identity Formation Process and Career
., & Schneider, K., & Gaines, A. L. (2013, June), Implementing an Engineering Applications of Mathematics Course at the University of Arkansas and Assessing Retention Impact Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/19721 3. https://registrar.uark.edu/graduation/senior-walk.php
“major comparison” as othertopics/assignments that equally contributed to their major exploration.Students were also asked if they were still undecided about a major, and 73.33% said no. Ofthose who were still undecided, the following comments were offered when asked whatinformation/support would be helpful in choosing a major:“More opportunities to work with those in multiple engineering fields”“Explore classes in different majors”exploring the success of this effortIn order to assess the effectiveness of this overall effort, which included both a targetedcommunication plan and modified activities in UNIV E101 meant to engage students in majorexploration, it’s important to look at supporting data. The following table details the number
as ateam, being introduced to the product design process, doing online research and applying theirproblem-solving skills. We assessed the effectiveness of these activities using an online survey atthe end of the activities.Student Participation and Feedback - After the activities were concluded, an online surveywas conducted to help better understand the effectiveness of these activities and possible ways toimprove them for the next semester. 64 students from Spring and Fall 2018 semesters respondedto the survey. Table 1 presents the results. Figure 4. Contribution of this activity for improvement on each aspect based in survey resultsTable 1. Average scores on Likert scale (1-5) obtained from students
camp program.The logistics were co-determined by the participating institutions and were based on the planned,annual activities of the experienced outreach organization. The experiences of the US studentcohort mirrored the activities (on a modified timeline) that participating Canadian studentsendured. For this project, we worked within a qualitative research paradigm to explore theelements of the collaboration. Data collection thus far for the project was conducted through twomethods: document analysis and open-ended survey. Document analysis examined the physicalartifacts [9] from the Canadian and US outreach groups, including agenda, program schedules,manuals, curriculum documents, and training materials. Documents were assessed
concepts, engaging the engineering design process, and considering ethics at the end of the unit (Appendix C). Students rated their ability to perform a certain skill on a 5point Likert scale, with the lowest value being “Hardly at all” and the highest value being “Very well.” Additionally, students in the second year selfassessed their attitudes about problemsolving, ethics, and STEAM careers before and after the unit (Appendix D). A 5point Likert scale was used with responses ranging from “Strongly Disagree” to “Strongly Agree.” These questions were adapted from the Friday Institute survey designed to assess middle school student attitudes toward STEM [4]. Additionally, openended questions asked students to reflect on their most
hypotheses rather than conclusions. First, PIsexpect undergraduate lab workers to express “interest” and “excitement” about research. Weworry that assessing students according to how a professor perceives their “enthusiasm” canunintentionally exclude students who differ from the professor, such as by gender, race, class, orculture. Second, members of the two labs tell stories about failure to undergraduates in differentways, which serve as powerful modes of socialization. Discourse styles as reflected incommunities’ storytelling may influence undergraduates’ sense of belonging. Third, we tried anew methodology of inviting students to discuss their different kinds and levels of expertise withregards to the concept of T-shaped expertise, i.e., having
the President. 2. Brass LF, Akabas MH, Burnley LD, Engman DM, Wiley CA, Andersen OS. Are MD– PhD programs meeting their goals? An analysis of career choices made by graduates of 24 MD–PhD programs. Academic medicine: journal of the Association of American Medical Colleges. 2010 Apr;85(4):692. 3. Chan LS. Building an Engineering-Based Medical College: Is the Timing Ripe for the Picking?. Medical Science Educator. 2016 Mar 1;26(1):185-90. 4. Dalkey N, Helmer O. An experimental application of the Delphi method to the use of experts. Management science. 1963 Apr;9(3):458-67. 5. Hsu, C. C., & Sandford, B. A. (2007). The Delphi technique: making sense of consensus. Practical Assessment, Research &
Paper ID #21475The Effect of Engineering Summer Camps on Middle School Students Inter-est and IdentityDr. Indira Chatterjee, University of Nevada, Reno Indira Chatterjee received her M.S. in Physics from Case Western Reserve University, Cleveland, Ohio in 1977 and Ph.D. in Electrical Engineering from the University of Utah, Salt Lake City, Utah in 1981. Indira is Associate Dean of Engineering and Professor of Electrical and Biomedical Engineering at the University of Nevada, Reno. As Associate Dean she oversees undergraduate and graduate education in the college including assessment, accreditation, recruitment, retention
experience.AcknowledgmentThe authors would like to acknowledge the Doctoral Teaching Program in College of Engineeringat The University of Akron for providing teaching fellowships for S. Cyrus Rezvanifar.References[1] Hassini, E., 2006. Student–instructor communication: The role of email. Computers &Education, 47(1), pp.29-40.[2] Gramoll, K., Hines, W. and Kocak, M., 2005, June. Delivery and assessment of teachingStatics over the internet to community college students. In ASEE Annual Conf. Proc., Portland,OR (pp. 12-15).[3] Frees, S. and Kessler, G.D., 2004, October. Developing collaborative tools to promotecommunication and active learning in academia. In Frontiers in Education, 2004. FIE 2004. 34thAnnual (pp. S3B-20). IEEE.[4] Atamian, R. and DeMoville, W
perceive competition, and they suggest that anyenhancement in progress and performance was likely because of a more structured sequence ofrequired deliverables and the desire to have something to present at the weekly Team Leadermeetings rather than a desire to “keep up with other teams” because of the Team Leadermeetings. While it would be expected for non-team leaders to have little incentive to keep upwith other teams, as they have little or no formal opportunity to evaluate other teams, we weresurprised that “keeping up with other teams” was consistently ranked by team leaders as the leastinfluential of the named categories.ConclusionWhen taken together, our preliminary assessment of the presence and role of competition due toweekly peer
programs create trackswhich align the educational focus with faculty research interests; however, they further add tocurricular rigidity, as they are often composed of courses largely outside of our department.When speaking with peer institutions, it became clear that many institutions experience thesechallenges, and in particular, the debate over the benefit of technical tracks appears to beongoing. Beyond challenges to students, technical tracks present difficulties for administrators,as maintaining relevance to modern bioengineering practice requires continual assessment andforecasting due to the rapid changes in the field and can never comprehensively satisfy alltechnical needs in bioengineering industries. Managing the content of the tracks
of varying shapes) used during alesson on stress concentrations. The author will present the lesson and the use of the physicalmodels (cut out shapes with discontinuities). The physical model allows each student toplay/demonstrate to themselves the importance of the change in shape and the placement of holesand notches. Assessment of homework data will highlight the value of simple hands on activitieswithin as many classes as possible. Each person in the session will participate in the use of thisphysical model.IntroductionMechanics of Materials is a critical course in most engineer’s technical development, butespecially civil and mechanical engineers. Up to this point in their education, all analysisassumes the body is rigid, but we all
our rankings.IntroductionAcademic programs are ranked using different objective and subjective metrics, providingdifferent perspectives on the quality, productivity and affordability of the programs. Programrankings are closely followed by aspiring students, universities and employed in hiring andfunding decisions. Among the many rankings of programs, U.S. News rankings have a widefollowing. U.S. News updates the ranking of graduate programs in multiple fields annually.According to the statement from U.S. News’ website 1 , they rank the graduate programs based onboth statistical data and expert assessment data. The statistical data includes both input and outputmeasures, reflecting the quality of resources into the programs and educational
relevant to the Naval services; especially efforts supported with non-Navy fundsMetrics Ensure the appropriate and consistent metrics are in place across the Naval STEM Portfolio, which assess both progress and impactGo Viral Invest in programs and social networking tools that have the potential for rapid growth and geographic expansion 1617 Web Site Information The Office of Naval Research (ONR) coordinates, executes, and promotes the science and technology programs of the United States Navy and Marine Corps through schools, universities, government laboratories, and nonprofit and for-profit organizations. The Business Opportunities web site at: http
Develop your ideas What do I have, and what would I like to do with it? • Evaluate your research strengths (individual, departmental, institutional) • Identify specific, possible research projects, areas of emphasis for a Center, and/or related educational activities Ideas can be revised, but you need to start somewhere! 14 What else is needed? • Determine what you need to complement your strengths • Collaborator with particular skills? • Access to equipment with particular measurement capabilities unavailable commercially? • Access to samples or data? • Review the laboratory’s website and/or FLC listing to assess