to: a) advancing the state of the artin conventional manufacturing processes such as metalcasting; b) new trends in manufacturingsuch as rapid prototyping, c) emerging technologies such as nanomaterials and manufacturing offuel cells and special coating materials, and d) enabling technologies serving manufacturingprocesses in general such as intelligent optimization. Manufacturing is a field where boundariesbetween disciplines disappear opening opportunities for multidisciplinary research. The researchprojects and faculty mentors participating in the program represent 5 different disciplines in thecollege of engineering. This offers the teachers a multi-perspective view of how underlyingmathematical and scientific concepts are integrated in
significant amounts of published research have focusedon the design and impact of blended “liberal studies in engineering” programs22, 23, 24, 25, 26(sometimes described as B.A. programs in Engineering Studies) similar to the program wedescribe at CPSU, surprisingly little of this research has attended to gender or the computingdisciplines. We believe that it is time to integrate the diverse research focused a) the relationshipsbetween liberal education and B.S. programs in engineering and computer science, b) theintegration of problem- and context-based education in B.S. programs in engineering andcomputer science, c) B.S. programs in engineering and computer science at liberal arts colleges,and d) the recruitment, retention, and success of women
academic programs, and a number of shorter school-year programs that increase career awareness and academic preparedness, and address access to higher education topics for over 2,000 precollege students annually. She identifies new program areas, and works with faculty and other professionals to develop new courses for 6th-12th grade students, and ensures that all aspects of the programs are coordinated, including staffing, funding, accounting, implementation, and evaluation. Karla oversees a staff of four full time employees, five summer full time staff members and a seasonal staff of 200. Karla also directs the Ford PAS initiative, the GEAR UP program, and providing
Paper ID #9290Assessing the First-Year Pilot of STEM: Explore, Discover, Apply – STEMCurricula for Middle Schools (Work in Progress)Dr. Krystal S Corbett, Cyber Innovation Center Dr. Krystal Corbett is the Director of Curricula at the Cyber Innovation Center (CIC). She received her B.S. and M.S. in Mechanical Engineering (2008/2010), M.S. in Mathematics (2012), and Ph.D. in Engineering Education (2012) at Louisiana Tech University. Through the CIC, Dr. Corbett manages various educational enterprises. Additionally, she is designing and implementing a three-part middle school elective course, STEM: Explore, Discover, Apply
implementing or creating.Teachers work collaboratively on developing the module, including identification of studentscience learning objectives (tied to the district science curriculum and standards), lesson plans,implementation and classroom management plans, and student assessments.The overarching aim of the three-year PISA program is to: (a) demonstrate and institutionalizewithin participating schools a methodology, supporting curriculum materials, and otherinstructional resources and strategies to increase student interest, engagement, and achievementin science, mathematics, engineering, and technology and further, to (b) promote a culture ofinventiveness and creativity that calls upon students to demonstrate 21st century workforce skills
Approx % be Piloted Size of school School setting Title I? Minority students* A 1st – 5th Medium Rural No 10% st th B 1 –5 Medium Rural No 5% st th C 1 –5 Small Rural No 15% D 1st – 5th Medium Small city Yes
Paper ID #8746Where do We Go from Here? Conversations with K-6 Principals FollowingThree Years of Engineering Education Professional Development for TheirFacultyDr. Louis S. Nadelson PhD, Boise State University Louis S. Nadelson is an associate professor in the College of Education at Boise State University, with a PhD in educational psychology from UNLV. His scholarly interests include all areas of STEM teaching and learning, inservice and preservice teacher professional development, program evaluation, multidis- ciplinary research, and conceptual change. Nadelson uses his over 20 years of high school and college math
course-specific evaluation (Appendix B), a similar four-level scoring rubric was usedwith 1=disagree, 2=somewhat disagree, 3=somewhat agree, and 4=agree. The mean responsewas a 3.85 over all questions indicating that the students felt the course had been a positiveexperience. The highest scores were given to questions 1, 3, 5, and 7 and indicated that hands-onactivities and ‘human factors’, including communication between the instructors and the studentsand lecture style, had a significant impact on the students’ evaluation of the course. From theirresponses, the students felt that the visual and active learning tools (e.g., visual images,experiments, CFD simulations, scavenger hunt, ‘fluids in the news’) used in the course hadsignificantly
communities and the U.S. Page 25.268.14References 1 Langdon, D., McKittrick, G., Beede, D., Khan, B., & Mark Doms, M. (2011). STEM: Good Jobs Now and for the Future. ESA 03-11. Washington DC: U.S. Department of Commerce. 2 Dohm, A., & Shniper, L. (2007). Occupational employment projections to 2016. Monthly Labor Review. Washington, DC: U.S. Department of Labor, Bureau of Labor Statistics. 3 Bureau of Labor Statistics. (2007). Table 1: The 30 fastest growing occupations covered in the 2008–2009 Occupational Outlook Handbook. http://www.bls.gov/news.release/ooh.t01.htm. 4 U.S. Department of Education
and Page 13.517.6experimentation standards established by the California State Department of Educationrequire that all middle and high school students understand that scientific progress ismade by asking meaningful questions and conducting careful investigations. As such, it isexpected that 6-12th grade students will: (a) select and use appropriate tools andtechnology to perform tests, collect data, analyze relationships, and display data; (b)identify possible reasons for inconsistent results, such as sources of error or uncontrolledconditions; (c) formulate explanations by using logic and evidence, (d) recognize
(1), 103-120.7. Linn, M. C., & Eylon, B. –S. (2006). Science education. In P. A. Alexander & P. H. Winne (Eds.) nd Handbook of Educational Psychology, 2 edition. Mahwah, NJ: Erlbaum.8. diSessa, A. (1988). Knowledge in pieces. In G. Forman & P. Pufall (Eds.), Constructivism in the computer age (pp.49-70). Hillsdale, NJ: Lawrence Erlbaum Associates.9. Chiu, J. L. & Linn, M. C. (2011). Knowledge integration and WISE engineering. Journal of Pre-collegeEngineering Education Research, 1(1), 1-14.10. Linn, M. C., Lee, H. S., Tinker, R., Husic, F., & Chiu, J. L. (2006). Inquiry learning: Teaching and assessing knowledge integration in science. Science, 313, 5790, 1049-50.11. Schneider
AC 2012-4849: HIGH SCHOOL STUDENT ENGINEERING DESIGN THINK-ING AND PERFORMANCEProf. Kurt Henry Becker, Utah State University Kurt Becker, Ph.D., is a professor and the Department Head of Engineering and Technology Education. He is the Co-principal Investigator for the National Science Foundation (NSF)-funded National Center for Engineering and Technology Education (NCETE). His areas of research include adult learning cognition, engineering education professional development, and technical training. He has extensive international experience working on technical training projects funded by the Asian Development Bank, World Bank, and U.S. Department of Labor, USAID. Countries where he has worked include Bangladesh
succeed in the 21st Century. Aaron also holds a bachelor’s degree in English from the University of Cambridge, and a Masters in English and American literature from Stanford University.Mr. Eng Seng Ng, Stanford UniversityStephanie Bachas-Daunert, Stanford University Page 24.440.1 c American Society for Engineering Education, 2014Grade Level: 6-8Authors: Shelley Goldman, Maureen Carroll, Molly B. Zielezinski, Stephanie Bachas-DaunertAuthor Contact Information: sgoldman@stanford.edu, mbullock@stanford.eduNext Generation Science Standards: MS-LS2-5 Ecosystems: Interactions, Energy, and DynamicsActivity
(CAREERaward SES-0846758 and a Graduate Research Fellowship). The authors are also grateful of theefforts of numerous Georgia Tech students who contributed to the camp: Ana Eisenman, JohnPatrick O’Har, Dwayne Henclewood, Alexandre Khelifa, and Greg Macfarlane. Page 25.1138.11Bibliography[1] Luken, B., Hotle, S., Alemdar, M., and Garrow, L.A., “A Case Study: Educating Transportation Engineers with Simulation,” American Society for Engineering Education Conference Proceedings, Vancouver, British Columbia, Canada, 2011. Page 25.1138.12
National Conference & Exhibition, Honolulu, HI.2. Connolly, K. G., Wendell, K. B., Wright, C. G., Jarvin, L., & Rogers, C. (2010). Comparing children's Page 25.1395.16 simple machines learning in LEGOTM engineering-design-based and non-LEGO engineering- design-based environments. Paper presented at the Annual International Conference of the National Association for Research in Science Teaching (NARST), Philadelphia, PA.3. Wendell, K. B., Portsmore, M., Wright, C. G., Rogers, C., Jarvin, L., & Kendall, A. (2011). The impact of engineering-based science instruction on science content understanding
feedback reports, forum and wiki discussions, end-of-course evaluations, and the course statistics provided through the Sakai course managementsystem. Data on actual participation in online discussions were collected throughout the course.Students also completed a course evaluation survey at the end of the course which asked a seriesof questions addressing their overall experiences, especially as related to course satisfaction,interaction with the instructor and the technology used.From an evaluation perspective, the evaluation team monitored whether the goals of the Podcastcourse were being achieved by observing the following: a) student satisfaction with the Podcastcourses; b) the value added to the educational experiences of teachers receiving
Page 26.1248.4content knowledge[28]. However, elementary teachers have difficulty aligning the planned andenacted instruction[29].There are identified challenges to science-teacher collaborations. Houseal et al.[25] discussed fivesuch challenges often faced by collaborations “(a) content knowledge background needs ofteachers and scientists, (b) accuracy and relevance of student data, (c) securing and negotiatingresources for both scientists and teachers (materials, time, and personnel), (d) communicationneeds and barriers, and (e) outside factors affecting both the educational and researchcommunities”. For this study, we were only concerned with the content knowledge of the twogroups and the communication needs and barriers. To address these
AC 2011-2287: HIGH SCHOOL STUDENTS AS NOVICE DESIGNERSNathan Mentzer, Purdue University, West Lafayette Nathan Mentzer is an assistant profession in the College of Technology with a joint appointment in the College of Education at Purdue University. Nathan was a former middle and high school technology educator in Montana prior to pursuing a doctoral degree. He was a National Center for Engineering and Technology Education (NCETE) Fellow at Utah State University while pursuing a Ph.D. in Curriculum and Instruction. After graduation he completed a one year appointment with the Center as a postdoctoral researcher.Kyungsuk Park, Utah State University
solution of a word problem—How is your animal adapted to your biome (e.g. Page 11.558.6 food procurement, body covering, teeth, eye placement)? Figure 1 Student Science Understanding Using Bloom's Taxonomy 6 5 4 Knowledge 3 Comprehension Application 2 1 0 A B C D E F G H I J Student Table 2 Math Topic—Working with ScaleKnowledge Level—Verbalizations/language used by
on the qualitative data collected from thethree assessment tools used during the 2006 camp to better understand the results of thestatistical analysis completed by Weavers et al. (2008) on the 2006 activity evaluation card data.1During FESC 2006, the participants were given an evaluation card for each session in which theyparticipated and were asked to rate the following components on a scale of 1 to 5: (a) the qualityof the activity overall, from “Poor” (rating of 1) to “Excellent” (rating of 5); (b) what the activitytaught them, from “Nothing” to “A Lot”; (c) how fun the activity was, from “Boring” to “SuperCool”; and (d) how comprehensible they found the activity leader, from “Hard to Understand” to“Easy to Understand” (see Figure 1). In
Education Research 2011, 1, (2), 5.12. Yasar, S.; Baker, D.; Robinson-Kurpius, S.; Krause, S.; Roberts, C., Development of a survey to assess K-12 teachers’ perceptions of engineers and familiarity with teaching design, engineering, technology. Journal ofEngineering Education 2006, 95, (3), 205-216.13. Cunningham, C.; Lachapelle, C.; Lindgren-Streicher, A. In Elementary teachers' understanding ofengineering and technology, American Society for Engineering Education Annual Conference & Exposition,Chicago, IL, 2006; Chicago, IL, 2006.14. Capobianco, B. M.; Diefes-Dux, H. A.; Mena, I.; Weller, J., Elementary school students' conceptions of anengineer. Journal of Engineering Education 2011, 100, (2), 304-328.15. Jarvis, T
. Theywere reporting on a total of 49 classes: 15 of the teachers taught the curriculum to one class,while 12 taught it in more than one class—some in as many as four.In the year-end survey, 92 percent of high school teachers and 79 percent of middle schoolteachers gave the project an A or B in terms of how much they felt their students learned—andthe few Cs were from three middle school teachers whose students had trouble with theprogramming and from a high school teacher whose students already knew the material. Theratings for enjoyment were even higher, with 94 percent of high school teachers and 93 percentof middle school teachers giving the curriculum an A or B in terms of how much they felt theirstudents enjoyed it.There were several learning
12.551.5After the team designed the system on paper, they learned how to use Solidworks to construct a3D model of the system. The Solidworks drawings were then converted to a model using a rapidprototyping machine. An example of one of the pieces of equipment drawn in Solidworks isshown in Figure 2. Finally, the team installed the water recycle system and tested the system forbacteria (Figure 3).Figure 3a) Installation of the water recycle system in the hydroponics green house; b)Testing forbacteria within the system during operation.As stated earlier, one of the goals is to transfer the knowledge the teachers gained to the K-12classroom. Thus, approximately 1/.3 of the time the teachers participate in workshops, industrialtours, and curricular work
science, technology, engineering and math (STEM)via formation, nurturance, and sustaining an important targeted school-university urbaneducational partnership.Our university has partnered with two large urban school districts to plan, deliver and sustain atargeted inservice teacher professional development and a middle and high school STEMcurriculum intervention. The partnership goals are to assist inservice middle and high schoolscience teachers in (1) designing and implementing integrated science and engineering curriculaand (2) development of instructional methods and strategies that enable teachers to effectively:(a) teach challenging content and research skills in middle and high school as required bystate/national science standards; (b
field in college.I think learning engineering in theK-12 curriculum would add an extra .714 2.45 1.042burden to my children’s learning.a Values reported in mean are based on a 5-point scale (5: strongly agree; 4: agree; 3: neutral; 2:disagree; 1: strongly disagree)b Standard deviationII. Between group comparisonsAfter the factor analysis, we examined differences in parents’ perceptions of and familiaritywith engineering depending on their demographic characteristics. If a variable, such asgender, had two levels, we used independent-samples t-test with a significance level of 0.05to compare two groups. Otherwise, if a variable had more than three levels, we used one-wayANOVA
Paper ID #9830Viewing student engineering through the lens of ”engineering moments”: Aninterpretive case study of 7th grade students with language-based learningdisabilitiesJessica M. Scolnic, Tufts University Center for Engineering Education and Outreach Originally from Wynnewood, PA, Jessica received her B.S. in Mechanical Engineering with a focus on Engineering Education from Tufts University in 2013. She is now pursuing her M.S. in M.E. at Tufts, while managing the CEEO’s largest engineering outreach effort, the Student Teacher Outreach Mentorship Program.Dr. Kathleen Spencer, Tufts University Dr. Spencer is a
work in teams andplan their designs (Figure 3). This is an important step in the early stages of modeling—providing students with opportunities to clarify the problem and express initial ideas usinggraphic models 13.Figure 4: Claims and evidence entryFigure 4: Reflection and Communication Phase (Table 1)In Figure 4 students are given the task of stating their claims and evidence. This provides themwith an opportunity to revisit their previous entries and models to determine whether or not theywere able to answer the question at hand. In answering their prediction they must incorporate thescience and design knowledge used throughout the process. As student B states “…when wewere testing the vehicle there was a lot of force pushing the vehicle
, Berkeley, CA: Lawrence Hall ofScience, University of California, Berkeley.24. Rogoff, B., C.G. Turkanis, and L. Bartlett, Learning Together: Children and Adults in aSchool Community. 2002: Oxford University Press.25. Rogoff, B., Developing Understanding of the Idea of Communities of Learners. Mind,Culture and Activity, 1994. 1(4): p. 209-229.26. Epstein, J.L., School/family/community partnerships: Caring for the children we share. PhiDelta Kappan, 1995. 79(9): p. 701-711.27. EQUALS, FAMILY MATH and Matematica para la familia. 1992. Page 15.501.1328. Gennaro, E., N. Hereid, and K. Ostlund, A study of the latent effects of family learningcourses in
interdisciplinaryvalue of mathematics. We look forward to continuing to work with teachers to refinemathematics and engineering integration to reinforce for students that these subjects are keycomponents of their world.Bibliographic Information1. Petroski, H. (2003). Early education. American Scientist, 91, 206-209.2. Auger, R. W., Blackhurst, A. E., & Wahl, K. H. (2005). Professional school counseling: The development of elementary-aged children's career aspirations and expectations., 8(4), 322(328).3. Clewell, B. C., Anderson, B., & Thorpe, M. (1992). Breaking the barriers: Helping female and minority students succeed in mathematics and science. San Francisco, CA: Jossey-Bass.4. Engstrom, D. (2001). Ten components of a good technology
how empirical values are gathered and placed in documents for use. This activitywould cause students to gain a level of comfort in using empirical data documented in varioushandbooks. Material behavior is critical to any engineering design because it provides the basisof material selection that will provide the performance needed to make a product safe andfunctional repeatedly. The Universal Testing machine was selected because of ease of use andreadily available materials that could be made into specimens. Aluminum specimens of ¼” x 1”x 12” were cut off from a ASTM-B-221 Kaiser 6061-T6511 stock. These specimens were thenplaced carefully in the Tinus Olsen 60,000 Lb Universal Testing Machine (UTM) grippers fortensile testing as shown in