concepts.Methods of Data CollectionTo track the DREAM program’s effectiveness at imparting physics knowledge in the mentees,inventories were systematically administered at Austin High School, Chavez High School, andKIPP Houston High School.These inventories were intended to span the field of topics that occurred in the design projects ofboth the spring 2009 and fall 2009 semesters, to measure long-term retention. The inventorieswere broken into two parts. The first page was designed as an Intuition Inventory (I.I.). TheI.I.’s from spring 2009 and fall 2009 are nearly identical, as shown in the Appendix. Theseserved to gauge the mentees’ physics intuition without computation or algebraic representation.The primary topic covered on the I.I. was the
multi-disciplinary design. (4) Provide a platform where student performance against the ABET general criteria for engineering programs (3 a-k )14 and civil engineering program specific criteria can be assessed (basically BOK I now and BOK II in the future).The senior design experience was tailored to ensure coverage of the appropriate programmaterial – items (1) – (3) in the above list suggests this. In some ways, constructing theappropriate assessment vehicle(s) was a more considerable challenge. The open-endednature of realistic design does not always lend itself to concrete assessmentmethodologies. So the creation of a time effective assessment scheme that forces anexperience that includes coverage of all outcomes to include
own words I will immediately attempt to find the I will underline the important solution to the problem words, list down facts and knowledge that I know, and identify concept/s that I need to learn. When a conflict arise I will accept my friends’ point of view I will keep thinking about the during problem to avoid prolong the discussion matter
UNC Charlotte in 2010 as Assistant Professor of Electrical Engineering and researcher in the Energy Production and Infrastructure Center (EPIC).S. Gary Teng, The University of North Carolina at Charlotte Dr. S. Gary Teng is Professor and Director of Systems Engineering & Engineering Management Program and Center for Lean Logistics & Engineered Systems at the University of North Carolina at Charlotte. He holds B.E., M.S., and Ph.D. degrees in Industrial Engineering. Dr. Teng is a Professional Engineer in the State of Wisconsin and an ASQ-certified Quality Engineer and Reliability Engineer. His research interests are in engineering system design and analysis, lean systems design & implementation, Lean
Peer Self Student • Good use of textbook in • I use material in the • I actually used the class. textbook every lesson. textbook more in your I cite and write on the course than in others. chalkboard equation numbers and figures.Assign design teams. In the real world engineers do not get to pick and choose who they want towork with. The professor should assign the teams based on some parameter(s) (background ofcourses, surveyed skills, in-class observations, etc.).27 The assignment of
and choose who they want to workwith. The professor should assign the teams based on some parameter(s) (background of courses,surveyed skills, in-class observations, etc.).19 The assignment of students to teams should bedone early in the semester to allow teams to sit together and work together on in-class and out-of-class group exercises. Learning then truly becomes a team effort throughout the semester.The authors have been known to send students to the chalkboard to solve an in-class problem.This allows one group to present their solution, right or wrong. Each group can see how the othergroups solved the same problem. When all in a group are working to solve the same problem atthe board, they are more focused. When seated, the instructor
moreabout technology National Research Council: National Academy Press, Washington, D.C.5. Massachusetts Department of Education, (2001) Massachusetts Science and Technology/EngineeringCurriculum Framework, Malden, MA6. Bransford, J. D., Brown, A. L., and Cocking, R.R. (eds), (2000) How People Learn: Brain, Mind,Experience, and School, Expanded Edition. National Research Council: National Academy Press,Washington, D.C.7. Thier, H. D. and Daviss, B., (2001) Developing Inquiry-Based Science Materials: a Guide for EducatorsTeachers College Press, New York.8. Brooks, J.G., and Brooks, M.G., (1999) In Search of Understanding: The Case for ConstructivistClassrooms. ASCD9. Dunn, S. and Larson, R. (1990) Design Technology: Children’s Engineering The Falmer
governed by a nonlinear differential equation(s). This situation often occurs whenstudents are assigned design projects, or more importantly when students practice engineering inindustry after graduation. Students are taught, in a series of dynamics courses, how to derive theequation of motion of a dynamic system whose resulting differential equation can be linear ornonlinear. At the same time, students these days are taught such that they are capable of usingthe above mentioned NAS to solve differential equations, even though their usage is mostlyfocused on solving ordinary linear differential systems. For most undergraduate mechanicalengineering students, who have no experience with the complex nature of nonlinear dynamicsystems, numerical
. The root of the problem might be in scholars' unwillingness to crossdisciplinary boundaries. As Ancarani (1995: 653) argued, “there has been relatively little contactto date between scholarship in international relations or political economy and the advances inscience and technology studies.... As a result, basic analytic concepts, including ‘globalization’and science and technology themselves, have been taken for granted and have not beenproblematized to a far greater degree than in more traditional areas of S&T research, such aslaboratory studies or controversies.”Furthermore there are significant conceptual and empirical problems with social theories thatmake implicit a possible role for engineers in globalization. For example
Journal of Science, Mathematics and Technology Education, vol. 20, pp. 146-165, 2020.[9] M. S. Tooley and E. E. Umphress, "Work in progress - the ethics of diversity: Addressing diversity issues in undergraduate engineering ethics education," presented at the Frontiers in Education Annual Conference, 2009.[10] A. R. Bielefeldt, M. Polmear, C. Swan, D. Knight, and N. E. Canney, "Variations in reflections as a method for teaching and assessment of engineering ethics," presented at the ASEE Annual Conference & Exposition, Virtual, 2020.[11] A. R. Bielefeldt, M. Polmear, D. Knight, C. Swan, and N. Canney, "Intersections between engineering ethics and diversity issues in engineering education," Journal of
engineers intheir community, career expositions, friends or family members, class trips, guest speakers ormedia.[5,7,8] Unfortunately, current methods of educating K-12 students about engineering andengineering careers have shown little impact, with the percentage of U.S. bachelor’s degreesawarded in engineering remaining constant around 4.5% over the past decade, down from anaverage of 7.1% during the 1980’s.[9] While it may appear beneficial to bring an engineer intothe classroom to spend time with the students and talk about their profession, many students areoften left with only a slight understanding of the guest engineer’s career and fail to seethemselves in the same role as that engineer.[10] More effective methods of generating
Evaluations During the 2004-2005Accreditation Cycle, Engineering Accreditation Commission, Accreditation Board for Engineering and Technology,ABET, Inc., Baltimore, Maryland, 2005.5 ASCE. Civil Engineering Body of Knowledge for the 21st Century: Preparing the Civil Engineer for the Future,2nd Edition, Reston, VA, 2008.6 Bloom, Benjamin S. Taxonomy of Educational Objectives, New York: Longman, 1956.7 Ressler, S. J., “Influence of the New Civil Engineering Body of Knowledge on Accreditation Criteria.”Proceedings of the 2008 Annual Conference of the American Society for Engineering Education, June 2008.8 Ressler, S.J., “The Raise the Bar Inititiative: Charting the Future by Understanding the Path to the PresentAccreditation Criteria.” Proceedings of
smart mobile devices). The course relies heavily on open source software such as Linux, Python, Java, Android, cross-platform Mobile Development PhoneGap (Cordova), Web Development Technologies (HTML, JavaScript, CCS, php, for example), MySQL, and Apache Web ServerCourse Design ObjectivesThe course goal is to prepare the students to create value, innovate, and roll out creativeapplication prototypes in a small, nimble and entrepreneurial work environment. The course hasbeen designed to meet the following objectives: • to expose under-skilled students to basic networking, computing and software development technologies and tools and important trending; • to form highly motivated and diverse team(s) that are effective
, organizational simplicity, high adaptability to a particular society or cultural environment, sparing use of natural resources, low cost of final product, or high potential for employment.9(p. 10)During the 1980’s, when the National Science Foundation sponsored a program dedicated toresearch in Appropriate Technology, the definition in the program solicitation was similar,though somewhat less prescriptive: Appropriate Technologies are defined as those which possess many of the following qualities: they are decentralized, require low capital investment, are amenable to management by their users, result in solutions that conserve natural resources, are in harmony with the environment, are small or intermediate scale, and are more labor- than
). CUNY Student Experience Survey. New York City College ofTechnology, CUNY.[2] Barnett, S. & Ceci, S (2002). When and where do we apply what we learn? A taxonomy for far transfer.Psychological Bulletin, 128(4), 612-637.[3] Benander, R., & Lightner, R. (2005). Promoting transfer of learning: Connecting general education courses. TheJournal of General Education, 54 (3), 199-208.[4] Cabo, C., & Lansiquot, R. D. (2013). Development of interdisciplinary problem-solving strategies throughgames and computer simulations. In R. D. Lansiquot (Ed.) Cases on interdisciplinary research trends in science,technology, engineering, and mathematics: Studies on urban classrooms (pp. 268-294). New York: IGI Global.[5] Campbell, J. (1949). The hero with
Transforming Undergraduate Education inSTEM Award NSF DUE-1226114, 1226087, 1226065 and 1226011. Photographs in Figure 2were taken by Mr. John McCormick (Virginia Tech).References1. B. Ferri, S. Ahmed, J. Michaels, E. Dean, C. Garvet, S. Shearman, "Signal Processing Experiments With LEGOMINDSTORMS NXT Kit for Use in Signals and Systems Courses," Proceedings of the American ControlConference, St. Louis, June 2009, pp. 3787-3792.2. G. Droge, B. Ferri, and O. Chiu, “Distributed Laboratories: Control System Experiments with LabVIEW and theLEGO NXT Platform,” ASEE Annual Conference and Exposition, San Antonio, June 2012.3. B. Ferri, J. Auerbach, “A Portable Finite State Machine Module Experiment for In-Class Use in Lecture-BasedCourse, ASEE Annual
experience in developingteacher readiness to implement the BT curriculum. Page 23.969.11 Figure 1. Item 3— Do you feel that the instructional approach used in the Summer Institute has been effective in providing the preparation you need to implement the Biosystems Technology Curriculum in your course(s)? (Cohort 1 n=8, Cohort 2 n=7, Cohort 3 n=8)These quantitative results are consistent with other sources of data relating to the Institute’seffects in all three years. Most Cohort 1 members expressed in qualitative statements concernabout the difficulty of integrating BT material into their courses and also about the challenge ofthis academic material for their Ag Ed students. No members of the
Learning Environment. Journal of Research on Technology in Education, 39(3), 229–2436. NSF (2000). National Science Foundation: The Interplay between Mathematics and Robotics. Arlington: National Science Foundation. Page 23.1050.167. Rogers, C., & Portsmore, M. (2004). Bringing engineering to elementary school. Journal of STEM Education, 5(3&4), 17–28.8. Papert, S. (1980). Mindstorms. New York. Basic Books.9. Brand, B., Collver, M., & Kasarda, M. (2008). Motivating Students with Robotics. The Science Teacher, 75(4), 44-9.10. Silk, E., Higashi, R., Shoop, R., & Schunn, C. (2010). Designing
: Professor: Session Topic(s) Instructional Objectives – By the end of this session students shall be Real-World able to: Example 1 (Leave blank until SFIP starts) … 30 Page 23.1114.8First week of the SFIP The SFIP kicks off on the first week of
little(if any) prior knowledge of the subject matter unless they have taken the class before and/or havegeotechnical work experience. Throughout the semester, students will be given short-quizzes atthe end of most lecture periods. Short answer and true-false questions will be included on thesequizzes and the type and difficulty of the question(s) presented during each short-quiz willparallel the type and difficulty of the questions presented on the pre-quiz to ensure parallel formreliability. As a result, the five short-answer questions on the short-quiz can be compared toparallel questions on the pre-quiz to assess comprehension (per lecture). A test is conducted at the end of each content module. Exactly 20% of each test willinclude
Paper ID #7658Using projects in mathematics and engineering mathematics courses designedto stimulate learningDr. Hassan Moore, University of Alabama, Birmingham Years with the University of Alabama at Birmingham (UAB): 5 Current Position(s): • Assistant Professor, Mechanical Engineering • Director of Outreach, School of Engineering Current Job Responsibilities: Dr. Moore’s primary interest is in the area of engineering education, par- ticularly in developing project-based learning tools in Differential Equations and Multivariable Calculus. Dr. Moore has created and developed a new course in the School of Engineering
science in the digital age. Running on Empty, 2010. URL https://api.semanticscholar.org/CorpusID:220884923. [8] E. B. Witherspoon, C. D. Schunn, R. M. Higashi, and R. Shoop. Attending to structural programming features predicts differences in learning and motivation. Journal of Computer Assisted Learning, 34(2):115–128, 2018. doi: 10.1111/jcal.12219. URL https://doi.org/10.1111/jcal.12219. [9] S. Marwan, G. Gao, S. Fisk, T. W. Price, and T. Barnes. Adaptive immediate feedback can improve novice programming engagement and intention to persist in computer science. In Proceedings of the 2020 ACM Conference on International Computing Education Research, pages 194–203. ACM, August 2020.[10] Ismaila Temitayo Sanusi and Sunday