of the American Association of Physics Teachers, Mexican section; member of the Consejo Nacional de Ciencia y Tecnolog´ıa (CONACYT) Network on Information Technology, and coordinator of the Science Education Community of the Corporaci´on Universitaria para el Desarrollo del Internet (CUDI). Professor Zavala teaches and advises master thesis and PhD dissertations in the Graduate School of Education of the Virtual University of the Tecnologico de Monterrey. Professor Zavala’s research areas are a) students understanding of science concepts, b) use of technology in science education, and c) evaluation.Prof. Angeles Dominguez, Tecnologico de Monterrey (ITESM) Angeles Dominguez is an Associate Professor of the Department
growing need to accommodate non-traditional students who have full-time jobs, part-time jobs, perhaps older than your traditionalcollege student, with life-changing events such as getting married, starting a career, or starting afamily, spawned our need to make course delivery changes. Theorist Malcolm Knowles 1discussed andragogical learning theory and how institutions who teach adults can adapt theirteaching habits within the learning environment. Knowles' concept of andragogy has beenwidely adopted by educators from various disciplines around the world. Andragogy is basedupon six assumptions: (a) self-directedness, (b) need to know, (c) use of experience in learning,(d) readiness to learn, (e) orientation to learning, and (f) internal
, the behavioral change is possible because the involved systems haveknowledge about other co-located wireless devices. Page 23.1244.13References1. Gang Zhao, Network Protocols and Algorithms, 2011, Vol. 3, No. 1, Wireless Sensor Networks for Industrial Process Monitoring and Control: A Survey.2. L. Q. Zhuang, K. M. Goh and J. B. Zhang, 1-4244-0826-1/2007 IEEE , The Wireless Sensor Networks for Factory Automation: Issues and Challenges.3. http://www.ni.com/white-paper/7142/en, published May 05, 20124. Javad Shakib, Mohammad Muqri ,118th Annual ASEE Conference, Session: AC 2011- 389, Wireless Technologies in Industrial
: Implemented changes deliver results only when nurtured and promoted with necessary support systems, documentation and infrastructures.Assessment and Analysis Appendix A shows the procedure for carrying out Assessment. Topic studied: Advanced Engineering Mathematics. Student Population: A junior level course with 18 students participating in the study. Background: The students have had two semesters of college level calculus. The grading was administered using a rubric similar to Washington State University’sCritical Thinking Rubric. Appendix B shows the rubric utilized. A sample of grading scheme is shown in Appendix C. The data obtained was tabulatedusing a Likert
methodology, learning through service, problem based learning methodologies, assessment of student learning, as well as com- plex problem solving. Her other research interests lie in cardiovascular fluid mechanics, sustainability, and K-12 engineering outreach. Dr. Pierrakos is a 2009 NSF CAREER Awardee. Dr. Pierrakos holds a B.S. in Engineering Science and Mechanics, an M.S. in Engineering Mechanics, and a Ph.D. in Biomedical Engineering from Virginia Tech.Dr. Elise M. Barrella, James Madison University Dr. Elise M. Barrella is an Assistant Professor of Engineering at James Madison University, focusing on transportation systems and sustainability. Prior to joining the JMU Engineering faculty in 2012, Dr. Barrella was
” is shown in the table. Additionally, results from a 2007 national study of collegeseniors is indicated as a comparative baseline.36 As noted in the table, this study featured twostatements with different wording and did not include a spirituality question. Hence, results froma different national study are reported for the spirituality statement.37 Table 4. Summary Results for Political and Social Involvement Scale Diff b/w Diff b/w CSS GEDS GEDS GEDS GEDS Student objectives noted as “Very 2007 2012 2012 & 2013 2013
outcomes: 1. Understand the reverse cycle system. 2. Understand the functions of mechanical and electrical components for heating and cooling a heat pump. 3. Understand the operation of geothermal unit in the heating or cooling mode. 4. Demonstrate the charging procedure for a system in the heating and cooling mode. 5. Knowledge of troubleshooting electrical, mechanical, water source system. B. HART 1372. Installation of Geothermal Heating/Cooling Systems. Course outcomes: Page 23.786.6 1. Demonstrate working knowledge of a
. S. J. Wind et al.,“Vertical scaling of carbon nanotube field-effect transistors using top gate electrodes,” Applied Physics Letters, vo1. 80, no. 20, May 20, 2002.13. B. Liu et al., “Intel LVS logic as a combinational logic paradigm in CNT technology,” 2010 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), pp. 77-81, 17-18 June 2010.14. M. J. Flynn, P. Hung, K. W. Rudd, “Deep submicron microprocessor design issues,” IEEE Micro, vol. 19, no. 4, pp. 11-22, Jul-Aug 1999.15. C. Constantinescu, “Impact of deep submicron technology on dependability of VLSI circuits,” International Conference on Dependable Systems and Networks ( DSN 2002), Proceedings, pp. 205-209, 2002.16. A. Garcia-Ortiz, D
to administering the last quiz and the final exam.Table 3 also indentifies four students with unusual access-performance characteristics. The twoindividuals with heavy access but poor (initial) performance would eventually “recover” andachieve course grades of C and B. The course grades of the other two students were B+ and A- .The class average was B-. Table 1 Class Rank based upon Mid Term Exam Top 1/3 Mid 1/3 Bottom 1/3 Rank: Top 1/3 20 9 9 Access to HW Mid 1/3 9 17 12
. Our programgoals and corresponding metrics are displayed in the figure below. They include benchmarks forrecruitment, engineering research excellence, and student interest and learning. We willcomplete our first new RET cycle in 2013 and will evaluate each cohort using similar metrics.Table 2: Program Goal Metrics Page 23.331.61. Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Acher, A., Fortus, D., et al. (2009). Developing aLearning Progression for Scientific Modeling: Making Scientific Modeling Accessible andMeaningful for Learners. Journal of Research in Science Teaching, 46(6), 632-654.2. Partnership for 21st Century Thinking
primary and secondary schools do not seem able to produce enough students with the interest, motivation, knowledge, and skills they will need to compete and prosper in such a world.”The American Society for Quality commissioned a market research firm to study teacherknowledge and passion for math and science. The results show that students feel their teachersdo a poor job of discussing STEM (Science, Technology, Engineering and Math) careers and/orencouraging students toward the STEM disciplines, even though they consider their teachers tobe knowledgeable about math and science: “Although 85 percent of students said their teachers deserve at least a ‘B’ when it comes to knowledge about science topics, 63 percent of
Department Struggles with STEM Problems”, B. Lane, 2012, Available online:www.thomasnet.com/journals/machining/defense-department-struggles-with-stem-problems/[3] “Science, Technology, Engineering, and Mathematics (STEM) Education: Background, FederalPolicy, and Legislative Action”, J. Kuenzi, CRS Report for Congress, Available Onlinehttp://www.fas.org/sgp/crs/misc/RL33434.pdf, Mar 2008 Page 23.1000.8[4] “Green Energy: Powering Education from a STEM Education Methodology”, Bill Hughes, 2011, ItnlTech & Engr Edu Assoc, v71 n2 p23-25 Oct 2011[5] J. Koebler, Demand, Pay for STEM Skills Skyrocket, Oct 2011, USNEWS
theexperience of computer science students and (b) we discuss the specific way in which weapproached the “instilling meaningful understanding of computational ideas” challenge ofPevzner and Shamir [7] for BIO majors.2. Teaching In-ConcertIn-concert teaching (or teaching in concert) is the name we gave to an approach we developedfor teaching two concurrent courses presenting two different discipline-specific perspectives(from two different disciplines) on a specific topic. The key characteristics of teaching in-concert are: Two discipline-specific courses stressing technical proficiency within the chosen field of study. Instructors from respective fields: each course is taught by the instructor from the respective program
) Page 23.393.7Figure 2 CEE Department Mission, Core Values and Educational ObjectivesTable 1 Summary of Civil Engineering CEE Department Program Outcomes Dept. Program Outcome Description of Dept. Program Outcome with Leadership Linkage 1. Mathematics 2. Science 3. Solid & Fluid Mechanics 4. Experiments 5. Problems Solving a) Techniques b) Tools Design 6. a) Environmental Design systems, components, and processes within realistic 7. b) Structural constraints such as regulatory, economic, environmental, social, political, ethical, health and safety, constructability, and 8. c) Land Development sustainability. 9. d
,2001.[3] Tufte, Edward R., Envisioning Information. Cheshire, CT: Graphics Press, 1990.[4] Frankel, F.C. and DePace, A.H. Visual Strategies, A Practical Guide to Graphics for Scientists and Engineers Page 23.1271.10Yale University Press, New Haven and London, 2012.[5] Ferster, B. Interactive Visualization: Insight through Inquiry, The MIT Press, Cambridge, Massachusetts andLondon England, 2013[6] Sorby, S.A. "Educational Research in Developing 3-D Spatial Skills for Engineering Students," InternationalJournal of Science Education, Vol. 31, No. 3, pp. 459 - 480, 2009.[7] Sorby S.A. and Veurink, L. “Raising the Bar? Longitudinal
1 2 3 4 5 6 7 8 9 101112 1 2 3 4 5 6 7 8 9 101112 Number of doughnuts () Number of doughnuts () a. Group 1 b. Group 2 Figure 3. Prior PMFThe next step in the AL exercise was to formulate a likelihood function. In the case of thedoughnuts the experimental data that can be obtained is not the number of doughnuts itself butthe approximate weight of the box. Therefore, the likelihood function would be ( | ). Each student selected one student
2016 students withdrew from or failed the physics course in thefall of 2012.In math the Backstage Bucknell ESA 2016 students performed similarly to the students in theESA 2015 cohort. All levels of calculus at the university are taught in multiple sections withmultiple faculty. The courses are specific to the faculty member and there are no common examsas with the introductory physics class. The average final course grade earned by both groups intheir first math course at the university was a B-. The final course grades of the BackstageBucknell ESA 2016 participants had 2 out of 14 students earning less than a C for their finalcourse grade. In the ESA 2015 group, 3 out of 13 students received a final course grade less thanC. It is worth noting
engineering, thefollowing five-step methodology was followed: 1. Complete a literature review on innovative topics in liquefaction and sustainability. 2. Develop modules focused on liquefaction and sustainability for secondary school students including hands on activities and real world problems. 3. Apply modules at the Bucknell Engineering Camp (Summer 2011 and 2012): a. Implement modules twice per topic per year. b. Evaluate the achievement of lesson goals and objectives through student evaluations (indirect assessment). 4. Determine lessons learned from module application and evaluation results. 5. Identify further research and opportunities for future application.The following paper describes this
exercises, b) sessions oflight physical activity, or c) no breaks at all. Students who performed active learning exerciseshad a higher probability of answering exercise-related questions correctly, compared to the othertwo groups. However, students who performed active learning exercises did not exhibit betterrecall of information presented immediately after such breaks. Students who performed physicalactivity showed no difference in recall of information presented immediately after those breaks,compared to the recall of students who took no breaks. Our data suggest that learning value, notsimple activity/wakefulness, is the critical element of active learning.Introduction“Active learning” is a term used to refer to situations in which an
, 2004.[2] R. Almgren, "A more experiential education," Journal of Engineering Education, vol. 97, pp. 241-242, 2008.[3] B. J. Duch, S. E. Groh, and D. E. Allen, Eds., The power of problem-based learning. Sterling, VA: Stylus 2001, p.^pp. Pages. Page 23.1166.16[4] M. Besterfield-Sacre, J. Gerchak, M. Lyons, L. J. Shuman, and H. Wolfe, "Scoring Concept Maps: An Integrated Rubric for Assessing Engineering Education," Journal of Engineering Education, vol. 93, pp. 105-115, 2004.[5] C. E. Glatz, R. Gonzalez, M. E. Huba, S. K. Mallapragada, B. Narasimhan, P. J. Reilly, et al
Page 23.502.6schemes: 6 A. Individual Statement Analysis B. Time Distribution C. Team Structure D. Isolated Conversation Contribution E. Survey Responses.Each coding scheme produces a set of data points that are used to draw comparisons across individualstudents and their group compositions. Each coding scheme is distinct in the data points it produces,however the coding schemes do not work independently of each other. Section 4.2 describes each codingscheme and section 4.3 shows how each coding scheme answers the research questions given the datapoints it produces. Section 4.1 explains the framework for engineering design
Adult Education at the University of Georgia.Mrs. Olgha B Davis, North Carolina State University Mrs. Davis earned her BS degree in Biomedical Engineering from Boston University and MS degree in Biomedical Engineering from North Carolina State University (NCSU) and UNC Chapel Hill. Currently, Mrs. Davis is the education coordinator for the BioMed-Connect Mentoring Incubator at NCSU College of Engineering. Mrs. Davis main responsibilities include conducting research and writing grant propos- als and final reports, developing the educational curriculum for the mentoring program, and facilitating weekly laboratory group meetings, and organizing professional development seminars for the participants. Mrs. Davis also is a
Author"The entrepreneur", said the French economist J. B. Say around 1800, "shiftseconomic resources out of an area of lower and into an area of higher Tam 6productivity and greater yield.""This juxtaposition of plain speak and econometrics (defines) entrepreneurs (aspeople who) see a need and innovate, resulting in improved economic well- Robert Solow 4being.""Entrepreneurship is the creation of organizations." Sharma 3"An entrepreneur is a person who carries out new combinations, which may takethe form of new products, processes, markets, organizational forms, or sources Schumpeterof supply.""Entrepreneurship encompasses acts of organizational creation, renewal, or
discussion of this example often allows thelecturer to introduce concepts such as the “New York Times” test for identifying ethical issues:if the action you are contemplating is one you would not wish to read about on the front page ofthe New York Times, then thoughtful ethical analysis is recommended. Similarly, under the“sweaty palms” test, if a given action, behavior or decision makes you intuitively uncomfortable– gives you sweaty palms – you should consider that unease as a symptom calling for theapplication of ethical thought.There are three additional examples in the lecturer’s deck of slides. These involve (a) the receiptof information from a marketing consultant under “shady” circumstances, (b) an invitation froma supplier to attend a
, public, hybrid) and associated software systems (OS, languages, databases, development tools) in the form of a stack and applications. Stacks are usually characterized by the used OS and the support software. For each of the three major operating systems (Linux, Windows, Mac OS X) the stacks offer different facilities but in general they comprise at least : a) webserver, b) database, c) programming (procedural, functional or scripting) languages; development systems. Examples of stack content: o Alternatively as web servers (depending of OS) Apache ; Internet Information Services o As DBMSs MySQL ; SQL Server or Access ; o As languages Perl
] Stanley, W. D., Kauffmann, P. L., and Crossman, G. R., “A MATLAB-Based Upper- Division Systems Analysis Course for Engineering Technology,” Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition, Washington, DC, 2003.[7] Van Rensburg, B. W. J. “Structural Engineering Education: Effective Teaching and Learning,” Proceedings of the 2003 American Society for Engineering Education International Colloquium, Washington, DC, 2003.Bibliographical InformationYanwu Ding received the B.Eng degree (with honors) from Southwest Jiaotong University,Chengdu, China, and the M.Sc. (with Best Thesis Research Award) and Ph.D. degrees fromMcMaster University, Hamilton, ON. Canada. She is
emphasizes TBL as a teaching and learning strategy, it includes acomparison of TBL to other group-based learning methods, such as problem-based and project-based learning [11, 12], as well as descriptions and discussions of lecture-based student-centeredlearning strategies [1, 13]. Thus, the course consists of five learning units, which are describedbriefly below.Unit 1: Introduction and limitations of lecture-based learningThe introductory portion of the unit states and discusses the four course aims and seven learningoutcomes. The aims of the course are to provide trainees with: a) an awareness of andappreciation for student-centered active learning; b) knowledge of some lecture-based activelearning activities; c) knowledge of the different group
and evaluating the degree of achievements of the educational objectives and outcomes for program improvements.5.0 ABET Curricular Requirements Page 21.67.3 The Accreditation agency generally specifies the curricular requirements. According to theABET Engineering Accreditation Commission (EAC), the professional component must include[2]: (a) one year of a combination of college level mathematics and basic sciences (some with experimental experience) appropriate to the discipline. Basic sciences are defined as biological, chemical, and physical sciences. (b) one and one-half years of engineering topics
results will be available by summer 2013.References1. Shepperd, James A., Jodi L. Grace, Erika J. Koch. “Evaluating the Electronic Textbook: Is It Time to Dispense With the Paper Text?” Teaching of Psychology Vol. 35, Iss. 1, 2008.2. Aust, Ronald, Mary Kelley, Warren Roby. “The Use of Hyper-Reference and Conventional Dictionaries” Educational Technology Research and Development Vol. 41, Iss 4. 1993.3. Daniel, David B. E-Textbooks At What Cost? Performance and Use of Electronic v. Print Texts, Computers & Education, Available online 1 November 2012.4. Guess, A. “E-textbooks—for real this time?“ Inside Higher Education 3 Jan 2008 accessed Nov 1, 2012.5. Snowhill, L. “E-books and their future in academic libraries: An
are variously engaged in technical and commercialleadership and possess effective interpersonal skills”13 (Engineering Council, 2011).In addition, the competence and commitment standard defines over 16 characteristics under fivemajor categories including: A. Using a combination of general and specialist engineering knowledge and understanding to optimize the application of existing and emerging technology; Page 23.457.5 B. Applying appropriate theoretical and practical methods to the analysis and solution of engineering problems; C. Providing technical and commercial leadership; D. Demonstrating effective interpersonal