CTC and engagement in undergraduate STEMeducation. With the completion of the conceptual model, the second phase of the study, surveytool development, becomes the focus.AcknowledgementsThe authors would like to gratefully acknowledge the National Science Foundation for theirsupport of this work under the REESE program (grant numbers DRL-0909817, 0910143,0909659, 0909900, and 0909850). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References 1. Goodenow, Carol (1993). Classroom belonging among early adolescent students: Relationships to motivation and achievement. Journal of Early Adolescence
, and included: 1. Observation of engineering classes at different levels. 2. Supervised assistance teaching at variety of engineering courses to develop a variety of pedagogical models and options. 3. Assist in developing course(s) for HU, particularly in an electronic/computer-based classroom or for the distance-learning environment. One point of emphasis is the development of future shared projects between UH and HU students. 4. Observation, study, and practice of administrative and management skills, including ongoing faculty and curriculum development and revision. 5. Skill acquisition and practice for managing and completing the assessment process. 6. Academic advising.Junior faculty from HU pursue the
., “Teamwork and Project Management”, 3rd Ed., McGraw-Hill, 2007.[5] Williams, L. and R. Kessler, “Pair Programming Illuminated”, Addison-Wesley Longman, 2002.[6] Adams, S. G., “Building Successful Student Teams in the Engineering Classroom.Journal of STEM Education. July-December. Auburn, AL., 27-32, 2003.[7] Oakley, B. A., D. H. Hanna, Z. Kuzmyn, and R. M. Felder, “Best Practices Involving Teamwork in theClassroom: Results From a Survey of 6435 Engineering Student Respondents”, IEEE Transaction onEducation, Vol. 50, No. 3, 266-272, August 2007. Page 15.785.8
Program.Bibliography 1. Lande, M and Leifer, L, “Introducing a “Ways of Thinking” Framework for Student Engineers Learning to Do Design,” June 14-17, 2009. Proceedings of the 2009 American Society for Engineering Education Annual Conference. Austin, Texas. 2. Dym, C, Sheppard, S, Agogino, A, Leifer, L, Frey, D, Eris, O, “Engineering Design Thinking, Teaching, and Learning,” Journal of Engineering Education, 2005. 3. Robinson, JA, “Engineering Thinking and Rhetoric”, Journal of Engineering Education, 1998. 4. Cardella, ME, Engineering Mathematics: an Investigation of Students' Mathematical Thinking from a Cognitive Engineering Perspective, Thesis (Ph. D.) University of Washington, 2006. 5. Ishii, K
careful inthe bar random analysis to compute symbolically for the two statistical randomdisplacement values of bar for 4 cases. Even so, please do each analysisidentified to verify the random displacement results before using it for teaching oras such for any professional value of interest.Bibliography1. Ang, A.H-S. and Tang, W. H., “Probability Concepts in Engineering”, John Wiley, 20072. National Research Council, “Science and Judgment in Risk Assessment”, National Academy Press, 19943. US DOE, “Characterization of Uncertainties in Risk Assessment with special reference to Probabilistic Uncertainty Analysis”, 19964. NASA, “Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practioners”, 20025. National
. pp. S.16-24.8. Dunn, J. W., and J. Barbanel. “One model for an integrated math physics course focusing on electricity and magnetism and related calculus topics.” American Journal of Physics, August 2000: 68.8.9. Froyd, J.E., and M. W. Ohland. “First-year Integrated Curriculum Projects - Supplemental Information for the Paper: Integrated Engineering Curricula.” Journal of Engineering Education, 2005: 94.1.10. Froyd, J. E., and G. J. Rogers. "Evolution and evaluation of an integrated, first-year curriculum." Proceedings of the 27th Annual Frontiers in Education Conference, Teaching and Learning in an Era of Change, 1997, vol. 2. pp.1107-1113.11. Jeffrey E. Froyd, and Matthew W. Ohland. “Integrated Engineering
” inengineering education that could risk derailing my main research questions? These arechallenges I will work through as I move forward in my research.NotesIn the mid 1990’s science, technology, society and environment (STSE) replaced science,technology and society (STS) education.Bibliography1. Pedretti, E. (1999). Decision Making and STS Education: Exploring Scientific Knowledge and SocialResponsibility in Schools and Science Centers Through an Issues-Based Approach. School Science andMathematics, 99, 174-181.2. Zeidler, D.L. (2003). The Role of Moral Reasoning on Socioscientific Issues and Discourse in ScienceEducation. Dordrecht: Kluwer Academic Publishers.3. Wiesenmayer, R.L. and Rubba, P.A. (1999). The Effects of STS Issue Investigation and
Toyota World No. 1 Car Maker,” Reuters.com. Reuters. http:/www.reuters.com/article/businessnews/idUSN2424076820080124. Retrieved 19 April 2008.4. M. Adams, P. Componation, H. Czarnecki, and B. Schroer. “Simulation as a Tool for Continuous Process Improvement,” Proceedings of the 1999 Winter Simulation Conference, pp. 766-773, 1999.5. D. Reis and LPena. “Linking Customer Satisfaction, Quality, and Strategic Planning,” Revista de Administracao de Empresas, Vol. 40, No. 1, pp. 42-46, 2000.6. M. E. Pritchard and G. S. Wilson. “Using Emotional and Social Factors to Predict Student Success,” Journal of College Student Development, Vol. 44, No. 1, pp. 18-28, 2003.
FPGA.AcknowledgementThis work was supported by the Chesapeake Information Based Aeronautics Consortium (CIBAC) atMorgan State University.Reference1 S.D. Young, S. Kakarlapudi, and M. Uijt de Young, “A Shadow Detection and Extraction Algorithm Using Digital Elevation models and X-bandWeather Radar Measurements”, Int. J. Remote Sensing, 26(8): 1531-1549, 2005.2 Sonka Milan, Image Processing Analysis, and Machine Vision, 1999, California: Brooks/Cole Publishing Company3 Field Programmable Gate Array, http://en.wikipedia.org/wiki/FPGA (Accessed 7/22/2009)4 What is VHDL?http://74.125.47.132/search?q=cache:MlxxUJ50YEJ:www.doulos.com/knowhow/vhdl_designers_guide/what_is_vhdl/+what+is+VHDL%3F&cd=1&hl=en&ct=clnk&gl=us
• Apparatus or System Design • Laboratory Functions • Use of Modern Engineering Tools • Societal/Global Perspectives • Interpretation of Results • Formulating Conclusions • Making RecommendationsFall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova University • Effective Written Communication • Effective Oral Communication3) Prepare grading rubrics that evaluate student achievement of instructionalobjectivesThe elements identified in the previous section are relatively broad s. With no furtherguidance, gauging the performance of a specific student or team with respect to one ofthese (on, for example, a 1-10 scale) is quite subjective. Consequently, consistent withthe strategy outlined by Felder,5 detailed rubrics
Review on Women in Computing,” SIGCSE Bulletin, Vol. 34, No. 2, June, 2002, pp. 121-127. 2. Beyer, S., DeKeuster, M., Walter K., Colar, M., and Holcomb., C, “Changes in CS Students’ Attitudes Towards CS over Time: An Examination of Gender Difference,” ACM SIGCSE Bulletin 2005, Vol. 37, Issue 1, p. 392-396. 3. Chen, X., “Students Who Study Science, Technology, Engineering, and Mathematics (STEM) in Postsecondary Education,” U.S. Department of Education, NCES 2009-161, July 2009. 4. Murray, T. “Gender Equity in the Mathematics Classroom: Separate and Evaluate:, The Nueva Journal, 36(3) Summer 1995. 5. Jackson, C., “Can Single Sex Classes in Co-educational Schools Enhance the Learning Experiences
Degree 5.9% (1) 5.9% (1) Other (undecided) 5.9% (1) 0 Intended Biology 7 respondents 9 respondentsAcademic Chemistry 7 respondents 7 respondentsField(s) of Computer Science 4 respondents 4 respondents Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova UniversityStudy after Engineering 13 respondents 12 respondentsGraduation Health Sciences 3 respondents 3 respondents
will enhance the classroom experience.References1 Gardiner, K. M., and Ozturk, S., “Developing a Practical Engineering Experience for First Year Students,”Proceedings, ASEE Mid-Atlantic Section Spring Conference, Engineering Student Retention in the 21st Century,Raritan Valley Community College - April 23-24, 2004 (CD).2 Deanna R. Cerullo and Nick Nikitas.. “First Year Practical Engineering Experience-A Student View.”Proceedings, ASEE Mid-Atalntic Section Fall Conference.3 Deily, Robin. The Development of the First Year Engineering Experience, Fall 2010. Intervew by Jaime Alava.4/1/2010. Print. 26 Sep 2010.4 Yerk-Zwickl, Sherri. The Development of the First Year Engineering Experience, Fall 2010. Intervew by JaimeAlava. 4/7/2010
more of*; what activity should have less time allotted*. (*Asked only during summer 2009session.) These were analyzed to reflect on the objectives of the program, and to providefeedback for modifying future programs. In 2008 post-program surveys were collected from 14of the 16 girls. In 2009 surveys were collected from all 24 of the girls who participated.In the fall of 2009, graduate and undergraduate student participants were contacted to determinetheir motivation for participating in the program, and to determine the impacts of the program ontheir career goals, etc. Student were first asked about their involvement with STEP (whatyear(s), what roles) and educational program (what major(s), what year in program). Studentswere asked to rate
such as regulatory, economic, environmental, social, political, ethical, health and safety, constructability, and sustainability. (4) Provide a platform where student performance against the ABET general criteria for engineering programs 3 a-k and civil engineering program specific criteria can be assessed.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. The rest of this paper briefly outlines the UT Tyler CE program
the world to connect with patients in the developing world using moderntechnology and communications infrastructure.10 Trained operators at Mashavu stations indeveloping communities collect essential medical information including weight, bodytemperature, lung capacity, blood pressure, photographs, stethoscope rhythms, and basic hygieneand nutrition information for each patient. We are designing ultra-inexpensive biomedicaldevices based on virtual instrumentation. Web servers aggregate this information from variousMashavu stations over a cell phone link and provide it on a web-based portal. Medicalprofessionals can view the patient’s information and respond to the patient and the nearestdoctor(s) with their recommendations. Validation efforts
previously the recipient of a Pitt Partners scholarship from the University of Pittsburgh which facilitated his service at Carnegie Mellon University from 2008-2009.Nancy George, University of Pittsburgh Nancy S. George has a Bachelor of Arts degree in Language Communications from the University of Pittsburgh and a Master's Equivalency degree in Education. She has been a junior high language arts teacher for 30 years. She will complete her Master's degree in Library and Information Science in April, 2010, from the University of Pittsburgh. Page 15.1146.1© American Society for Engineering Education, 2010
area.NaturalisticThe most recent addition to the bank of intelligences, a person with strengths in this area is Page 15.574.8capable of recognising forms in nature and understanding nature’s systems. Agriculturalistsand hunters possess this strength.In addition to these eight intelligences, the so-called “candidate” intelligences of spiritual andexistential intelligence were not included in this study, as these have not been fully endorsedby Gardner, due to their failure to fulfil all the criteria to be considered intelligences (Gardner,2006).One criticism of the theory of Multiple Intelligences has been that these eight areas do notrepresent intelligence(s) at
AC 2010-275: A POSSIBLE CIVIL ENGINEERING BOK2 CURRICULUMDebra Larson, Northern Arizona University Debra S. Larson is a Professor and Associate Dean for the College of Engineering, Forestry and Natural Sciences at Northern Arizona University in Flagstaff, AZ. She served as department chair for civil and environmental engineering at NAU for four years. Prior to her faculty appointment at NAU, Debra worked as a structural and civil engineer for various companies. She is a registered Professional Engineer in Arizona. Debra received her B.S. and M.S. degrees in Civil Engineering from Michigan Technological University. She received her Ph.D. degree in Civil Engineering from Arizona State
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
problem into the basic elementsof one (or more) LED(s) shining on a surface during the early stages of model development.Those who succeeded better in developing the mathematical relationships saw this as important.We do not yet know whether the sketching contributed to their ability to generate a model, butour initial analysis suggests exploring this in more detail.It is possible that the phototherapy problem was too difficult as a first attempt at modeling. Wechose phototherapy because students all had some background in previous coursework related tolight, and because it was unlikely to give an advantage to any students as a problem inmechanical or electrical modeling might have. We would have given students credit for amathematical approach
, it was possible to identify opportunities. Some ofthe modalities for implementing those opportunities have to be developed through administrativearrangements, logistics, technology, scheduling and other means. The good thing is that it waspossible to identify possible failures before they occur.References:1. Adewale, O. S. 2002, Surveying and Geomatics Curricula in Nigerian Universities – The Professional and Educational Challenges. FIG International Conference, Washington D.C. April 19 – 26, 2002.2. Carnoy, M. 2005. Globalization Educational Trends and the Open Society. Open Society Institute Education Conference. Budapest, June 30 – July 3, 2005.3. Derby, F. W. 2000. Integration of Information Technology into Surveying
that upon approval by the University the new geomatics engineering program willempower graduates to meet the needs of the geospatial data user community.References1. American Society of Civil Engineers. (1985). Definition of the Term "Engineering Surveying". Journal of Surveying Engineering. IN(2), 16 - 164.2. Buckner, R.B. 1981). Does the Surveying Profession have Future Goals and Directions? Surveying and Mapping, 411(4), 391-398. Commonwealth Association of Surveying and Land Economy. (1988). CASLE in the 1990s. CASLE. 10p3. Dracup, J. 1995. History of geodetic surveying. ACSM Bulletin 154:15.4. Hollwey, J. R., Bancroft, A. D. and Longdin, W. S. (1969). The Future of the Land Surveyor. Chartered Surveyor No. 1
://www.asce.org/raisethebar).3. ASCE Levels of Achievement Subcommittee of CAP^3. 2005. Levels of Achievement Applicable to the Body of Knowledge Required for Entry Into the Practice of Civil Engineering at the Professional Level, Reston, VA, September. (http://www.asce.org/raisethebar)4. Bloom. B. S., Englehart, M. D., Furst. E. J., Hill, W. H., and Krathwohl, D. 1956. Taxonomy of Educational Objectives, the Classification of Educational Goals, Handbook I: Cognitive Domain. David McKay, New York, NY.. Page 15.1212.10 BLOOM’S LEVEL OF ACHIEVEMENT (LOA) OUTCOME
; Bacon. ISBN: 978-0205522590. 6. Paradis, J., Zimmerman, M. (2002). The MIT Guide to Science and Engineering Communication: Second Edition. Boston, MA: The MIT Press. ISBN: 978-0262661270. 7. Beer, D., (2003). Writing and Speaking in the Technology Professions: A Practical Guide: Second Edition. Wiley-IEEE Press. ISBN: 978-0471444732. 8. Schwalbe, K., (2007). An Introduction To Project Management, Second Edition. Course Technology/Cengage Learning. ISBN: 978-1423902201. Page 15.758.14 9. Satzinger, J., Jackson, R., Burd, S., (2009). Systems Analysis & Design In A Changing World, Fifth
control groups. The feedback will becontinuously incorporated into the course design in order to optimize delivery ofinstruction, and increase options for students on campus as well as those learning atremote sites.References [1] Montana State University computer engineering labs going online as part of pilotprogram. FirstScience News, 17 July 2009.[2] John Watson et al (2004). “On-line laboratories for undergraduate distanceengineering students,” Proceedings of the 34th ASEE/IEEE Frontiers in EducationConference, October 20-23, 2004, Savannah, GA.[3] Bourne, J., Harris, D. & Mayadas, F. (2005). Online engineering education: Learninganywhere, anytime. Journal of Engineering Education, Vol. 94 No. 1, pp. 131-146[4] Palmer, S., & Hall, W