Rural Appraisal (PRA) as a suitable concept. The PRA is a well-knownmethod of development cooperation, which aims at incorporating the knowledge and opinionsof rural people in the planning and management of development projects and programs.Thereupon – in the sense of the problem solving model according to Sell/Schimweg – thestudents collected supporting and opposing forces, which are to be expected in theimplementation of their concept. The student group determined several operators for achievinga step-by-step problem solving: With the help of mind maps and group discussions, severalsuggestive questions were set as a first step in the implementation of their training concept.These questions are supposed to be provided to women and men as part
weekly meeting was a 2-hour block of time in the makerspace classroom,which either involved one large project, or two mid-sized projects to take up the time. Projectswere structured to last approximately 90 minutes, so if some students took a little longer they didnot run out of time to complete their projects. If a student finished early, they were given theoption of leaving early each week, or completing a second version of the project from that weekor one of the earlier weeks if they had a hands-on item they wanted to create again.Projects (and related tools included): wooden coasters (measuring, Dremel tools), string art(pattern planning, pliers, hammers, nails), wooden swiss-cheese (power drill, drill bits, vise),ratcheting wrench mini
activity can also segue into a discussion on lumped versus distributed system modeling.Ask students to identify which playdough shapes would cool down uniformly and which wouldremain hot in the middle, while the outer surface cools. In lecture, the instructor introduces theconcept of lumped vs distributed thermal systems and what types of shapes can be reasonablymodeled as lumped systems and why.With some additional equipment and planning this exercise could be repeated later in the courseas a lab with data collection to monitor temperature response. It could also be repeated as a minidesign competition to see which models cool down the quickest.Experiment 3: “Fluid in a Tube”Step Response of a second order system with a variable damping
dimensionality ofthe survey data input increases 𝑛𝑛-TARP should continue to be effective. We intend to expand thedimensionality of the data by including all the questions from the pre-survey instead of the eightquestion subset we used in this study. This goal of including additional questions poses somechallenges since not all questions have a Likert scale, nor are they all ordinal. Further, in this studywe considered pre-course survey responses from only four courses; moving forward we plan toincrease this analysis to over 200 courses.6. CONCLUSIONSIn summary, we proposed a new data analysis approach for survey data using 𝑛𝑛-TARP. We generateda distribution of clusters based on student responses to MOOC pre-course survey questions. Ourapproach
Technologies.Col. Jeffrey A. Starke, United States Military Academy COL (Ret) Jeff Starke served as a Military Intelligence officer with command and staff experiences at the battalion, brigade, joint task force and combatant command levels. His most recent operational experi- ence was as a strategic planning at the United States Central Command in support of Operation Inherent Resolve (actions against ISIS). Academically, COL Starke specializes in environmental engineering with research and teaching interests in drinking water, public health, and microbial-mediated processes to in- clude renewable energy resources. COL Starke taught senior-level design courses in Physical and Chem- ical Processes, Biological Treatment Processes
system." Sometimes I feel like I liked thework environment there because of the people, rather than the work. But also-It just opens my eye ... Opens my eyes to see that you can learn so much from peoplewho aren't teachers-who don't really have a degree to say ... It's sometimes what youlearn from there is even more valuable than a math problem. You could take even more ...It could take you farther sometimes.Yeah, so that's something ... I don't want to let go of that. That's maybe why I want to stay within that environment. Probably something in agricultural. Well, my plan is get a Bachelor's in Civil [Engineering]. Hopefully either structural or water, and then probably major ... Master in agricultural engineering
additional MatSEclasses into the SIIP program. In addition, we also have in place a mechanism for continuous re-vision and improvement of the existing computational modules through an end-of-year debriefand planning session, in which the SIIP faculty and teaching assistant conduct a “post mortem”of the computational modules. By identifying aspects of the material, delivery, and student re-sponses that were positive and successful, and those that were less so, the team identifies how andwhere to improve the material and its dissemination for the following year.The student surveys provide valuable information, but their utility as an assessment instrumentcan benefit from further improvement. The sample sizes in the senior level computational
, establish goals, plan tasks, and meetobjectives”). If students were asked to design their own microfluidic devices to resolve an unmetneed and adhere to engineering constraints, this module could address student outcome 2 (“anability to apply engineering design to produce solutions that meet specified needs withconsideration of public health, safety, and welfare, as well as global, cultural, social,environmental, and economic factors”). Finally, this module also addresses the ABET BMEprogram criteria a (“applying principles of engineering, biology, human physiology…”), b(“solving bio/biomedical engineering problems…”), and c (“analyzing, modeling, designing, andrealizing bio/biomedical engineering devices, systems, components or processes”) [9
memberhad to fulfill, such as the budget manager, and communications manager. The TDP rubric wasprovided to students as part of the TDP assignment, so they were well aware of all gradingcriteria in advance, so that they could plan accordingly. This rubric allowed us to define clearly,why a particular grade was earned, rather than the previously used subjective, holistic approach.Again, we found this new TDP rubric to be effective in helping students meet the desiredoutcome. Out of 15 teams, 100% exceeded the minimum threshold of 70% for satisfactoryperformance. In fact, the lowest grade was an 83%. While this did not provide for a large spreadin grades (average was 92% with a standard deviation of only 4.2%) the teaching faculty werequite satisfied
number of participants per grade, per ethnicity and in theall-girls after-school STEM program limits generalizations from our data.Although initially planned, a major limitation of the study was that a pre-survey was notconducted limiting the ability to “compare” the influence of the all-girls after-school program.Additionally, the absence of open-ended questions or follow-up interviews with either all-schoolstudents or teachers, limits our insight into student reasoning. For example, do the students knowwhat “engineering” is when asked if girls belong? Interest scores in science were lower than inother areas. The principal indicated hiring good science instructors was a constant struggle andthat the department would be revamped the following
in-depth discussionduring the in-class time.IV. Reflection and future directionThroughout the different phases of this project, we were not able to find previous studies underthe search of “flipped review” or “flipped class” + “prerequisite review”. We invite futurestudies, esp. senior level classes to try out the flipped review process and add to the flippedclassroom literature.We also recommend instructors who plan to adopt the flipped review approach build a learningoutcome measurement that can be used consistently in the classroom-review and flipped-reviewclasses so that the differences in learning would be more visible. In our project, ME 491 hasevolved a lot over the past years. As a result, we do not have a consistent measure to see
. System architecture directions for networked sensors. In: ACM SIGOPS Operating Systems Review. Vol 34. ACM; 2000:93-104.30. Jakoby B, Vellekoop MJ. Physical sensors for water-in-oil emulsions. Sensors Actuators A Phys. 2004;110(1):28-32.31. Riek LD. The social co-robotics problem space: Six key challenges. Robot Challenges Vis. 2014.32. Casper J, Yanco H. AAAI/Robocup-2001 robot rescue. AI Mag. 2002;23(1):43.33. Galbraith B V., Guenther FH, Versace M. A neural network-based exploratory learning and motor planning system for co-robots. Front Neurorobot. 2015;9.34. Kok JR, Spaan MT, Vlassis N. Multi-robot decision making using coordination graphs. In: Proceedings of the 11th International Conference on Advanced
ideas as well asfeedback from colleagues and anonymous reviewers.References[1] J. Johnson-Bailey, R. M. Dervero. (2008). Different Worlds and Divergent Paths: Academic Careers Defined by Race and Gender. Harvard Educational Review, v78, n2, pp. 311-332, Summer.[2] Super, D.E. (1990). A Life-Span, Life-Space Approach to Career Development in Brown, D. Brooks, L. & Associates (2nd edn) Career Choice and Development San Francisco: Jossey-Bass, pp197-261.[3] Super, D.E. and F.J. Minor. (1987). Career Development and Planning in Organizations. Advances in Organizational Psychology, Beverly Hills, CA: Sage Publications.[4] M. J. Finkelstein, V. M. Conley, J. H. Schuster. (2016). Taking the Measure of Faculty Diversity. Advancing
academic, public, government, and corporate libraries.Roberts3 provides a historical survey of the administrative structure of academic science andtechnology libraries with survey results from approximately one hundred libraries. Maugham4describes the planning and construction of the Kresge Engineering Library at the University ofBerkeley. In 1999 Poland5 describes administrative restructuring and consolidation of scienceand technology libraries at Cornell, and in 2007 Powell6 summarizes the merger of reference andcirculation desks. A few years later Powell7 and Scharnberg8 discuss the transition to virtual, orbookless libraries.Many universities present information about the history of their engineering libraries on an“about page” or Wikipedia
' Thought Processes. Occasional Paper No. 72.[2] Stern, P., & Shavelson, R. J. (1983). Reading teachers' judgments, plans, and decision making. The Reading Teacher, 37(3), 280-286.[3] Gow, L., & Kember, D. (1993). Conceptions of teaching and their relationship to student learning. British journal of educational psychology, 63(1), 20-23.[4] Willcoxson, L. (1998). The impact of academics' learning and teaching preferences on their teaching practices: A pilot study. Studies in Higher Education, 23(1), 59-70.[5] Solomon, B. A., & Felder, R. M. (1999). Index of learning styles. Raleigh, NC: North Carolina State University. Available online.[6] Zywno, M., & Waalen, J. (2001). The effect of hypermedia
Paper ID #19870Closing the Gap: Using Supplemental Instruction as a Tool to Assist Minori-ties in EngineeringLt. James Blake Gegenheimer, STEP James Gegenheimer is an MSME Candidate in Mechanical Engineering at LSU. James is a Second Lieu- tenant in the United States Air Force. He will be stationed at Hill Air Force Base in Salt Lake City, Utah. He plans to pursue a Ph.D. through the Air Force and work with the Air Force Weapons Research Labora- tory. James is currently the Supplemental Instruction Coordinator at LSU for the College of Engineering. He also served as a Supplemental Instructor in Thermodynamics for over
clustering presents a useful summary of the groupsamong our data, it is only useful insofar as it is an authentic representation of the actual patternsof our data. Like with other statistical methods, the planned application and implications of ourconclusions need to align with the validity examinations conducted in our work.37Specifically, for the description of these decision-making profiles among beginning designstudents, the confusion between two or three clusters in the solution, and visual inspection of thedata suggests that further verification is would be helpful. Nevertheless, our work is informativefor demonstrating steps cluster analysis as a technique. We have reported the software used (R);distance measure (Euclidean distance) and
field trials.Also covered are lessons learned from the field trials, the revision process, and plans fordisseminating the module to partner universities in the future.BackgroundBiogeotechnics is a rapidly emerging branch of geotechnical engineering that focuses on learningfrom nature to help address engineering challenges. Although many freshman engineeringstudents may have already decided to pursue one of the main branches of engineering (e.g.,mechanical, electrical, civil, or chemical), many are still exploring the sub-fields andspecializations within each branch (Shamma & Purasinghe, 2015). Exposing undergraduates toresearch being conducted in biogeotechnics, along with various career options available, whichare often dependent upon
: Sage Publications.[11]. McKenna, A. F., Yalvac, B., & Light, G. J. (2009). The role of collaborative reflection on shaping engineering faculty teaching approaches, Journal of Engineering Education, 98(1), 17-26.[12]. McKenna, A. F., & Yalvac, B. (2007). Characterizing engineering faculty’s teaching approaches, Teaching in Higher Education, 12(3), 405-418.[13]. Mortimore, P. (ed.), (1999). Understanding pedagogy and its impact on learning. Thousand Oaks, CA: Sage Publications.[14]. National Academy of Engineering (2004). The engineer of 2020: Visions of engineering in the new century. Washington, DC: National Academy Press.[15]. National Research Council, (2011). Natalie Nielsen, Rapporteur, Planning Committee on
. This must happen during the first two weeks of class.After the groups are formed, the students research project topics they would like to work on.Due to the fact that the class is required for nearly all engineering majors, many of the groups aremultidisciplinary, which increases the diversity in the projects since every member looks at aproblem from a different perspective. Once the group agrees on one (or several) ideas, they mustdiscuss and obtain approval from the IDEAS Showcase Coordinator (the class professor in thiscase) by presenting a proposal which briefly describes the topic of study and how they plan toachieve it (Figure 3 a). A template for the proposal and several examples are provided to thestudents
., Eng., & Math. (STEM) Health Science Transportation, Distribution & LogisticsThe selection of career cluster is non-binding, but allows for systematic development ofindividualized graduation plans (IGPs) based on career interests. The IGPs primarily affectrecommendations for course electives; all sixteen career clusters have identical recommendationsfor the four-year sequence of mathematics courses, as shown in Table 2. Table 2 Mathematics course recommendations for high school graduation in South Carolina. Grade 9 Grade 10 Grade 11 Grade 12 Algebra 1 Geometry Algebra 2 Precalculus or
observation [18].Zull notes the necessity of these steps for learning to occur, where learning is buildingphysiological connections in the brain [18]. Connections made via reflection play a role in thedevelopment and practice of self-regulated learning [19]. Zimmerman’s cyclical model of self-regulated learning includes a self-reflection phase that captures the appraisal of learningexperiences in the immediate or distant past (performances) and connects the interpretations andlessons to planning (forethought) for future learning experiences. These self-reflections includeself-judgements and self-reactions. Self-judgements include evaluation of one’s performanceagainst some standard (e.g., class average or some prior performance) and attribution of
an awesome experience.” • “Going to the movies and definitely going to the George Bush museum.” • “The movie nights were also a blast.”When students were asked about their career plans “as a result of participating in the Lab Ratsprogram,” seven out of nine (78%) participants reported that they are “definitely more likely” topursue a STEM career, one participant (11%) responded “probably more likely,” and only oneparticipant responded “neutral” (Figure 1). Definitely MORE likely to pursue a STEM 7 career Probably MORE likely to pursue a STEM 1 career
learning outcomes. The Review of Higher Education, vol. 34, no. 1, pp.61-84, Fall 2010.[5] S. Olson, Engineering Societies and Undergraduate Engineering Education: Proceedings of a Workshop. National Academies Press, 2018.[6] M. Borrego and L. K. Newswander, "Characteristics of successful Cross-disciplinary engineering education collaborations." Journal of Engineering Education vol. 97, no. 2, pp 123-134, 2008.[7] National Science Foundation, National science foundation investing in America’s future strategic plan FY 2006-2011. Arlington, VA: NSF 06-48. 2006.[8] S. Karim, "Modularity in organizational structure: The reconfiguration of internally developed and acquired business units." Strategic Management Journal, Vol. 27, no. 9
26, 2018].[18] Missouri Leads Nation in Overseas Trade Office. [Online]. Available: University of Missouri Office of Economic Development, https://economicdevelopment.missouri.edu/features/2015/missouri-among- nations-leaders-in-overseas-trade-offices/index.php. [Accessed April 26, 2018].[19] About Senator J. William Fulbright. [Online]. Available: Council for International Exchange of Scholars, https://www.cies.org/about-us/about-senator-j-william-fulbright. [Accessed April 26, 2018].[20] Harry S. Truman Presidential Library & Museum. [Online]. Available: https://www.trumanlibrary.org/. [Accessed April 26, 2018].[21] FY 2014-2017 Department of State and USAID Strategic Plan. [Online]. Available: http://www.state.gov
hamper sustainable communitydevelopment efforts. Guest speakers came from industry, from consulting firms that focus oncommunity engagement, and from academia. For their final essays, students synthesized thesemester’s reading to critically analyze the potential for CSR to deliver shared social,environmental, and economic value to stakeholders. In groups, they gave presentations on thearticles, lead one class discussion, and created a stakeholder engagement plan for a real worldengineering project. The course focused primarily on the community engagement dimensions ofCSR, with gestures to the role played by engineers and engineering.Spring 2017 Indigenous Peoples and Natural Resource DevelopmentThis is an upper division elective humanities and
plan to beginaddressing some of the changes requested by the students, such as more online video tutorialsand online written notes and perhaps a course manual/textbook as a reference for the entire set ofcourses.References[1] M. Lord, “Seeing and Doing: Revamped curricula show freshmen what it means to be anengineer,” ASEE Prism, vol. 21, p. 34, September 2011.[2] D. W. Knight, L. E. Carlson, and J. F. Sullivan, “Staying in Engineering: Impact of a Hands-On, Team-Based, First-Year Projects Course on Student Retention,” in Proceedings of the 2003American Society for Engineering Education Annual Conference & Exposition, 2003.[3] M. Hoit and M. Ohland, “The Impact of a Discipline-Based Introduction to EngineeringCourse on Improving Retention
outcome is closely related to the qualityof an individual’s performance (Lent, 2013).Personal goals are described as one’s intention to engage in a particular activity or produce aparticular outcome (Bandura, 1986). SCCT describes two types of personal goals referred to aschoice goals (the type of activity or career one wishes to pursue) and performance goals (thequality of performance one plans to achieve within a given task; Lent, 2013). SCCT suggests thatboth choice and performance goals are affected by an individual’s self-efficacy and outcomeexpectations.Interest and choice models of the SCCT frameworkWhile SCCT consists of four conceptually distinct, yet overlapping models, the researchersdecided to focus building an instrument around the
report 4.03 write a scientific report 3.97 ask good questions related to the scientific process 3.97 set up a scientific experiment 3.56 work with others to plan and conduct scientific experiments 4.09 talk to professors about science 4.00 think like a scientist 4.03 * = statistically significantResult of the pre- and post-program surveys on student perceptions of their skills and knowledgeneeded for research and academic success are shown in Table 3. Of the 21 items in the survey,statistically significant gains
. Construction by Contour Crafting BuildingHouses for Everyone. Urban Initiative policy Brief. USC-University of Southern California.[9] Balinski, B. (2014). Chinese company 3D prints 10 houses in a day from recycled material.Architecture & Design; 22 April, 2014.[10] Zhang, J., & Khoshnevis, B. (2013). Optimal machine operation planning for constructionby Contour Crafting. Automation in Construction, 29(0), 50-67.[11] Buswell, R. A., Gibb, A. G., Soar, R., & Thorpe, A. (2007). Freeform construction:Megascale rapid manufacturing for construction. Automation in Construction, 16(2), 224-231.[12] Cesaretti, G., Dini, E., De Kestelier, X., Colla, V., & Pambaguian, L. (2014). Buildingcomponents for an outpost on the lunar soil by means of a