Clinical Scholars with a selection of clerkships, andlearning communities have been shown to increase retention in engineering programs,particularly among at-risk groups [9].The immersion experiencesBefore their summer clerkships begin, the academic deans of the school of medicine call forvolunteer mentors from among the 3rd year students. Clinical Scholars are assigned to thosestudents to best leverage their schedule of clerkships, providing 3-4 clerkships for each Scholar,each of 1-4 week duration. Scholars have a new medical student mentor for each clerkship.Clinical Scholars join their teams as “observers” rather than as “learners.” This is important (a)to not dilute the instructional quality and hands-on time for the medical students, (b) to
effects of team diversity n team outcomes: A meta- analytic review of team demography. Journal of Management, 33(6):987-1015.4 Johnson, D. W., Johnson, R. T., & Smith, K. A. (1998). Cooperative learning returns to college: What evidence is there that it works? Change, 27-35.5 Joshi, A. & Neely, B. H. (2018) A structural-emergence model of diversity in teams. Annual Review of Organizational Psychology and Organizational Behavior 5:361-385.6 Marra, R., Jonassen, D. H., Palmer, B., & Luft, S. (2014). Why problem-based learning works: Theoretical foundations. Journal on Excellence in College Teaching, 25(3&4), 221-238.7 Newstetter, W. C. (2004). Creating cognitive apprenticeships in
mechatronic aspects of the design. Figure 1 shows fourof the eight final prototypes that were generated in the fall 2018 EMSD class. (b) (a) (c) (d) Figure 1: Sample student projects. Students explored a wide variety of concepts, including aCNC wire bender (a), a robot for beach cleanup (b), an automated grilled cheese maker (c), and a mobile drawing robot (d).The EMSD course serves as both a capstone for undergraduate students and an elective forgraduate students. As such, there are two distinct populations in the course with varying degreesof
structured as follows. For each concept underconsideration the following selections were offered: 1. Select one of the following: (a) This concept should be included in this list: Yes/Maybe (b) This concept should NOT be included in this list If the negative choice is made, no further questions are asked. 2. Select the option that best describes the level of understanding of this concept: (a) Almost no students understand it (b) About 25% of students understand it (c) About half of students understand it (d) About 75% of students understand it (e) Almost all students understand it The level of understanding is a measure of the difficulty of the concept. 3. Select the option that
, such as desktops, laptops, and tablets, b) retrieving each of the web pagesaccessed by an user to solve a problem, c) retrieving user’s action information within a webpageto detect the various objects, such as YouTube videos, buttons, and parameter from drop-downmenus clicked by the user, d) retrieving information useful to detect the various devices used byan user and to identify the compatibility of the user- tracking system with various operatingsystems, browsers and device types/models, e) retrieving users’ location information to identifyfrom which part of the world a user is accessing the system, and f) retrieving users’ browserstatus at a regular interval of time (60 sec) to detect whether a user is actively using the OWLSbrowser or
tank and plumbing the collection conveyance (See FigureAutomatic Solar Tracker (See Figure 2a) 3b).Model SMT The rainwater harvesting system (RWH), features a weldedEppley Lab Met One 020C Wind Direction Sensor steel catchment structure (104 ft2) for rain collection and aEquipment: (See Figure 2b) 330 gallon storage tank (See Figures 3 b-d). Rainwater isDirect Pyrheliometer Vaisala HMP60 Temperature and collected in the tank via a system of pipes. Water first
Cumulative GPA Cumulative GPA (a) Traditional section (b) Redesigned section Figure 1: Distribution of student cumulative GPA in the two sectionsStudent performance in StaticsTable 4 shows the comparison of the passing rate of the traditional section and the redesignedsection of Statics. The redesigned section has a moderately higher passing rate compared withtraditional section. Table 4 Comparison of Statics passing rate Section Total no. of students No. of students get C or better
? a) What amount of change (increase/decrease) after the first year is there in student's selecting a major (i.e. leaving first-year engineering) after the introduction of this module as compared to before indicating more informed decision making? b) What amount of change (increase/decrease) after two years is there in student's selection of a major (i.e. leaving first-year engineering) after the introduction of this module as compared to before indicating more informed decision making? 2. To what extent does retention increase/decrease within the STEM College and in engineering after introducing the informed decision making module? 3. To what extent have disciplines students are selecting
Study and AnalysisThe objective of this study is to compare several classification models and determine whichalgorithm works efficiently with regard to a number of evaluation metrics. The steps involved inthe study are listed below: A. Data collection B. Data pre-processing C. Feature selection D. Training model process E. Model evaluationA. Data collectionData collection is one of the most important and time-consuming stages of this analysis. Thequality and integrity of the data have to be maintained to get real and accurate predictions. Thestudy began with the data collection of students’ access behavior from Blackboard Learn. Wemade use of 11 sections from IT341 and CYSE230 courses offered in Spring and Fall 2018semesters
, American Society for Engineering Education Annual Conference & Exposition,June 2013.Schaub, D., Legg, S., Svoronos, S., Koopman, B., and S. Bai. 1999. Applying Total QualityManagement in an Interdisciplinary Engineering Course. Journal of Engineering Education.88:1, 107-112. https://doi.org/10.1002/j.2168-9830.1999.tb00419.xSharma, A. 2009. Interdisciplinary Industrial Ecology Education: Recommendations for anInclusive Pedagogical Model. Asia Pacific Journal of Education. 29:1, 75-85, DOI:10.1080/02188790802655056Spanierman, L. B., Soble, J. R., Mayfield, J. B., Neville, H. A., Aber, M., Khuri, L., and B. DeLa Rosa. 2013. Living learning communities and students’ sense of community and belonging.Journal of Student Affairs Research and Practice
minors complementary to the major or participation in the Grand Challenge Scholar Program. Any faculty time not directly related to mentorship efforts is considered non-value-added. Examples include showing thestudents how to register for courses on Self Service, the course management system, orwhere to find the list of Humanities courses, a subset of which are graduation requirements.The overall duration and variance of advising sessions is reduced through two generalcategories of effort. The first focuses on value-added activities, with the goal of capturing thebest practices across the faculty. To demonstrate consider faculty members A and B whodiscuss the benefit of having a Mathematics minor with their advisees. Faculty member Aholds a
higher education. Greenwood Publishing Group, 2003.[6] B. R. Cohen, J. S. Rossmann, and K. S. Bernhardt, “Introducing engineering as a socio-technical process,” 2014.[7] T. D. Sadler, J. A. Foulk, and P. J. Friedrichsen, “Evolution of a model for socio-scientific issue teaching and learning,” Int. J. Educ. Math. Sci. Technol., vol. 5, no. 1, pp. 75–87, 2017.[8] D. Beede, T. Julian, D. Langdon, G. McKittrick, B. Khan, and M. Doms, “Women in STEM: A Gender Gap to Innovation. ESA Issue Brief# 04-11.,” US Dep. Commer., 2011.[9] L. M. Avery, “Rural science education: Valuing local knowledge,” Theory Pract., vol. 52, no. 1, pp. 28–35, 2013.[10] B. Wong, “Is Science for Us?,” in Science Education, Career
" Proceedings of the American Society for Engineering Education Annual Conference and Exposition, Chicago, IL, 2006.[36] M. Allen and A. Kelley, "Emphasizing teamwork and communication skills in introductory calculus courses," Proceedings of the American Society for Engineering Education Annual Conference and Exposition, Honolulu, HI, 2007: https://peer.asee.org/2166.[37] A. Bernal, J. J. Leader, and J. B. Ward, "Creating laboratories to aid student modeling ability in Calculus I," Proceedings of the American Society for Engineering Education Annual Conference and Exposition, Salt Lake City, UT, 2018: https://peer.asee.org/30235.[38] J. D. Desjardins, E. Breazel, M. Reba, I. Viktorova, J. B. Matheny, and T. R. Khan
Multispectral Analysis of Farm Corn Crops: A Project-Based Learning (PBL) Program Stephen Wilkerson, Assistant Professor, York College, York, PA Joe Cerreta, Assistant Professor, College of Aeronautics, Embry-Riddle Aeronautical University, Worldwide Department of Flight A. D. Gadsden University of Alberta, Canada, T6G 2R3 Andrew Gadsden, University of Guelph, ON N1G 2W1, Canada In this paper, we examine the learning objectives of using drone aircraft for themultispectral analysis of farmer crops to increase yields while decreasing annual costs.Specifically, we examine the corn, soybean, and winter wheat
not limited to thefollowing learning outcomes: (a) distinguish between closed systems and open control volumes;(b) apply the conservation of mass in consideration of transient analysis; and (c) apply the firstlaw of thermodynamics to a control volumes (CV) and in consideration of transient analysis.While there were various other learning outcomes which were a part of the Pre-requisite Exam,in general, understanding of “transient analysis” in thermodynamics was a primary focus for thisassessment. The format of the exam required students to solve one problem with multiple parts. Thiswas not a concept question. It was a question involving filling or emptying of a vessel. Theproblem selected was not particularly aligned with the subject
containing a fluid with mass Mf and heatcapacity Cf, initially at a temperature Tf(0). A value for the convective heat transfercoefficient h between the pellet and fluid is given. Students are asked to determine thetemperatures T of the pellet and Tf of the fluid as functions of time, ignoring any thermalinteractions between the cooling bath and surroundings. A diagram of the problem isshown in Figure 1a.Figure 1. Quenching of a pellet in a small bath (a) and in a large bath (b).Previously, students have been exposed to the fundamentals of heat transfer to a lumpedparameter system through the basic notion of conservation of energy (rate ofaccumulation of energy in the system = rate of energy entering – rate of energy leaving).In addition, they have
. Specifically, students were asked to rate their competencies in the four areas: 1.a. Recognizes unmet needs that may be filled by making 1.b. Expresses curiosity about how things are made and how they work 1.c. “Hacks” and “tinkers” to learn how things are made and how they work 1.d. Evaluates the costs & benefits of making as an alternative to buying or hiringStudents who chose the FabLab project overestimated their competency by 5.6% difference, andgained 5.7% increase in their ability to identify the need to make. In contrast, students who choseany of the other projects overestimated their competency by 12.7% difference, and gained 4.5%increase in their ability to identify the need to make. A graph of the survey result
Technical Symposium on Computing Science Education, New York, NY USA, 2016.[3] C. Watson and F. W. B. Li, "Failure rates in introductory programming revisited," in Proceedings of the 2014 conference on Innovation & technology in computer science education, New York, NY USA, 2014.[4] T. Beaubouef and J. Mason, "Why the high attrition rate for computer science students: some thoughts and observations," ACM SIGCSE Bulletin, vol. 37, no. 2, pp. 103-106, June 2005.[5] D. Teague and P. Roe, "Collaborative Learning – Towards A Solution for Novice Programmers," in Proceedings of the Tenth Australasian Computing Education Conference, Wollongong, Australia, January, 2008.[6] P. Fotaris, T. Mastoras, R. Leinfellner and Y
,” Florida Association of Teacher Educators Journal, vol. 1, no. 14, pp. 1-9, 2014.[4] J. B. Labov, A. H. Reid, and K. R. Yamamoto, “Integrated biology and undergraduate science education: a new biology education for the twenty-first century?,” CBE-Life Sciences Education, vol. 9, no. 1, pp. 10-16, 2010.[5] E. Perignat, and J. Katz-Buonincontro, “STEAM in practice and research: An integrative literature review,” Thinking Skills and Creativity, vol. 31, pp. 31-43, 2019.[6] A. M. Lucietto, J. Moss, and M. French, “Examining Engineering Technology Students: How they perceive and order their thoughts,” in ASEE National Conference, Columbus, OH, 2017.[7] A. M. Lucietto, J. D. Moss, E. Effendys and R. M
, 2002. https://doi.org/10.17226/10250. 3. B. Richmond, The ‘Thinking’ in Systems Thinking: Seven Essential Skills. Waltham, MA: Pegasus Communications, 2000. 4. L. B. Sweeney and D. Meadows, The Systems Thinking Playbook. White River Junction, VT: Chelsea Green, 2010. 5. G.M. Weinberg, An Introduction to General Systems Thinking. New York: Dorset House Publishing, 2011. 6. D.P. Stroh, Systems Thinking for Social Change: A Practical Guide to Solving Complex Problems, Avoiding Unintended Consequences, and Achieving Lasting Results. White River Junction, VT: Chelsea Green, 2015. 7. W. Donaldson, Simple Complexity: A Management Book for The Rest of Us: A Guide to Systems Thinking. New York
case studies is also included in thetable. Table 2: Categories for Ethical Dilemmas and Relevant NPSE Code Listings BER Cases (n=154) Non-BER (n=17) Ethical Dilemma Relevant NPSE Code Total number, (%) Total number, (%) Misleading Information II.3 , II.5.a, III.1 , III.3.a 35, (23) 0, (0) Withholding Information III.1.b, III.3 8, (5) 4, (24) Disclosing Private Information II.1.c , III.4 8, (5) 0, (0) Public Safety Risk
hydraulic system.References1. Sullivan, J., Fluid Power Theory and Applications, Prentice Hall Inc., Upper Saddle River, New Jersey, 1998.2. Rydberg, K.; Energy Efficient Hydraulics – System solutions for loss minimization; National Conference on Fluid Power, Linkoping University, Sweden. March 2015.3. Choudhury, A. and Rodriguez, J.; Experimental Analysis for Energy-efficient Product Design, Journal of Engineering Technology, Volume 34(1), 2017.4. Choudhury, A., Rodriguez, P. Ikonomov, J. He, B. De Young, R. Kamm, S. Hinton, Human powered energy efficient vehicle design, Proceedings the American Society for Engineering Education Annual Conference, San Antonio, TX, June 2012.5. Borghi, M., Zardin, B. Pintore, F., and Belluzi, F.; Energy
over that whole, "I don't want to ask for help." And everyone was struggling, and once I realized everyone's struggling, I mean we might as well try to struggle together, help each other get through versus you do this by yourself and drown miserably when they’re at least helping you stay afloat. In my first year I learned, you really have to learn to lean on the people who are also going through the same experiences as you are. – Black female, SeniorZephirin, T., & Jesiek, B. K. (2018, June), WIP: Unpacking the Black Box: How does a Cultural Engineering
, “Factors affecting response rates of the web survey: A systematic review,” Computers in Human Behavior, vol. 26, no. 2, pp. 132–139, 2010.[25] C. G. P. Berdanier, “Learning the Language of Academic Engineering: Sociocognitive Writing in Graduate Students.” Purdue University, 2016.[26] E. Lavelle and K. Bushrow, “Writing Approaches of Graduate Students,” Educational Psychology, vol. 27, no. 6, pp. 807–822, 2007.[27] B. J. Zimmerman and A. Bandura, “Impact of self-regulatory influences on writing course attainment,” American Educational Research Journal, vol. 31, no. 4, pp. 845–862, 1994.[28] K. Lonka, A. Chow, J. Keskinen, N. Sandstrom, and K. Pyhalto, “How to measure PhD. students ’ conceptions of academic writing – and are
show areas in Mississippi where (a) there is Fixed Broadband Deployment of3Mbps/768kbps, (b) percentage of residents below the poverty level, (c) percentage of minorityresidents, (d) high school graduate rates, and (e) medically served communities. There is a clearcorrelation between communities with limited resources for technology and healthcare, poverty,low graduation rates, and underrepresented groups. As a result, the groups where the opportunitybest exists to address the STEM deficit are the same groups that lack access to entry into thepipeline. Fig. 2: Correlation of Technology, Medically Underserved, Poverty, Race, and High School Graduation Rate in Mississippi as of 2016.Consider the case of the Leland High
at the end of the 10th week of a 15-week semester, as a rough draft before thefinal report (FR). The PR consisted of the first four sections of the FR, A) Problem Definition-5%, B) Brainstorming Alternatives-5%, C) Proposed Design-10%, and D) Construction & TestProcedures-10%. The syllabus briefly defined expectations for each section and referredstudents to website references for more information about the initial IMD prototype. Studentswere then directed to visit Canvas for a detailed procedure of construction and experimentation,including a rubric with evaluation criteria. The PR submitted by each project group wasreviewed by the instructor, assigned a tentative in-progress grade based on rubric criteria.Reviewed drafts of the PR were
otherpopulations and critical time periods. 12 ReferencesBabapour Chafi, M., Rahe, U., & Pedgley, O. (2012). The Influence of Self-reflective Diaries on Students’ Design Processes. In DesignEd Asia Conference 2012.Bauer, T. N., & Erdogan, B. (2012). Organizational socialization outcomes: Now and into the future. The Oxford Handbook of Organizational Socialization, 97–112.Boud, D. (2001). Using journal writing to enhance reflective practice. New Directions for Adult and Continuing Education, 2001(90), 9–18.Brunhaver, S., Gilmartin, S. K., Grau, M. M., Sheppard, S., & Chen, H. L. (2013). Not all the same: A look at early career engineers
, “Immersion in desktop virtual reality,” in Proceedings of the 10th annual ACM symposium on User interface software and technology, 1997, pp. 11–19.[10] T. Griffiths and D. Guile, “A connective model of learning: The implications for work process knowledge,” Eur. Educ. Res. J., vol. 2, no. 1, pp. 56–73, 2003.[11] B. Dalgarno and M. J. Lee, “What are the learning affordances of 3-D virtual environments?,” Br. J. Educ. Technol., vol. 41, no. 1, pp. 10–32, 2010.[12] H.-M. Huang, U. Rauch, and S.-S. Liaw, “Investigating learners’ attitudes toward virtual reality learning environments: Based on a constructivist approach,” Comput. Educ., vol. 55, no. 3, pp. 1171–1182, 2010.[13] S. E. Kirkley and J. R. Kirkley, “Creating next
. Response scales ranged from 1 to 5, and we consider any response of 4 orgreater to display positive sentiments. The questions are abbreviated on the graphic below butare shown with the exact wording in Appendix B. Overall, students expressed satisfaction withthe course and the degree to which the course improved their understanding of the material(Questions 1, 2, 3 & 5), but they communicated a slightly less positive sentiment regarding thevalue and relevance of the course as a whole (Questions 8 & 9). Still, given our experience withthe subject of engineering statistics and the fact that the course serves many programs, theseresponses were higher than we expected. Responses to the question of prerequisites (Question 4)suggest students
/potential to earn A or B in ENGR 289 during Pre-Calculus Fall 13-14 -Improve MPE to > 14 (for placement into M150 for Fall) M150 15-19 -Enhance fluency and confidence for M150 Pre-Calculus -Enhance preparation/potential to earn A or B in M 150 during Fall 20-21 -Improve MPE to > 21 (for placement into M151 for Fall) M151 22-33 -Enhance fluency and confidence for M151 Calculus -Enhance preparation/potential to earn A or B in M 151 during FallESBP Math Prep Seminar Philosophy & Methodology The instructors would like to acknowledge that amending the ESBP math seminar to