Paper ID #15194Gender-Specific Effects of a Summer Research Program on STEM ResearchSelf-EfficacyDr. Jennifer B. Listman, New York University Dr. Jennifer Listman is the Assistant Director, Program Development and Evaluation, Center for K12 STEM Education, New York University Polytechnic School of Engineering. As the Center’s resident re- search scientist, she conducts and publishes assessments and outcomes evaluations of Center programs for stewardship, research, and development purposes. Dr. Listman received her B.A. in Biology from the University of Pennsylvania in 1991 and her PhD in Anthropological Genetics from New
Paper ID #17283Can Tinkering Prepare Students to Learn Physics Concepts?Luke D. Conlin, Stanford University Dr. Conlin is a postdoctoral scholar in the Graduate School of Education at Stanford University. His work focuses on the learning of engineering and science in formal and informal environments.Doris B. Chin, Stanford University Dr. Chin is a Senior Research Scholar with the Graduate School of Education at Stanford University. c American Society for Engineering Education, 2016 Can Tinkering Prepare Students to Learn Physics Concepts? “Tinkering is the essential art of composing and
Paper ID #16192STEM-Discovery – An Integrated Approach to DESIGNDr. Heath Tims, Louisiana Tech UniversityDr. Kelly B. Crittenden, Louisiana Tech University Dr Kelly Crittenden is a member of Louisiana Tech University’s Integrated STEM Education Center (ISERC), and the Harrelson Family Professor of engineering. He earned his PhD and BS in BioMedical Engineering in 2001, and 1996 respectively. Dr Crittenden’s interests lie in K-12 outreach, developing project-driven curricula, and product design. c American Society for Engineering Education, 2016 STEM-Discovery – An Integrated Approach to
. Sungur, S. and Tekkaya, C. 2006. “Effects of problem-based learning and traditional instruction on self- regulated learning.” J. Education Research 99: 307-320.17. Next Generation Science Standards (NGSS): For States, By States. 2013. Washington, DC: The National Academies Press. Online: http://www.nextgenscience.org/.18. Common Core Standards for Mathematics. Common Core Standards Initiative. (2010). Online: http://www.corestandards.org/assets/CCSSI Math%20Standards.pdf.19. Petre, M. and Price, B. 2004. “Using robotics to motivate ‘back door’ learning.” Education and Information Technologies 9(2): 147-158.20. Benitti, F.B.V. 2012. “Exploring the educational potential of robotics in schools: A systematic review
Conference, Seattle, Washington. https://peer.asee.org/7513[2] Head, L. M. (2011, June), Signals, Systems, and Music: General Education for an IntegratedCurriculum Paper presented at 2011 Annual Conference & Exposition, Vancouver, BC.https://peer.asee.org/18807[3] Shepard, T., & Carlin, B. W. (2014, June), A First-Year Soldering and Analog Music to LightModulator Electronics Lab Project Paper presented at 2014 ASEE Annual Conference,Indianapolis, Indiana. https://peer.asee.org/19940[4] Rhudy, M., & Rossmann, T. (2015, June), Musical Analogies as a Teaching Tool forEngineering Concepts Paper presented at 2015 ASEE Annual Conference and Exposition,Seattle, Washington. 10.18260/p.24517[5] Park, W. (1998, June), Electronic Music Techniques
Unit (CurriculumExchange) TargetGradeLevel:5-8 EngrTEAMSEngineering to Transform the Education of Analysis, Measurement, & Science Colony A – Aerial Photograph 10meters Colony A – Site Map Area inside lines is nesting site 10meters N Colony B – Aerial Photograph EngrTEAMS Project is funded by the National Science Foundation under grant NSF DUE-1238140 Saving Pelicans: A STEM Integration Unit
- Experiences of Creating a Productive Heterogeneous Environment in Cyber SecurityResearch. In: 2015 ASEE Annual Conference and Exposition Proceedings. ASEE Conferences; p.26.437.1–26.437.10. http://peer.asee.org/237764. Frost and Sullivan. Agents of Change: Women in the Information Security Profession. Mountain View;2015. https://www.isc2cares.org/uploadedFiles/wwwisc2caresorg/Content/Women-in-the-Information-Security-Profession-GISWS-Subreport.pdf5. Dampier D a, Kelly K, Carr K. Increasing Participation of Women in Cyber Security. In: 2012 ASEESoutheast Section Conference. San Antonio, Tx: ASEE; 2012.6. Single-Sex Versus Coeducational Schooling: A Systematic Review. 2005.7. Fuller A, Turbin J, Johnson B. Computer Club for Girls: The problem with
thinking as a result of participating in a variety of learning experiences. She also holds a joint appointment in the College of Engineering at Notre Dame and teaches in the First-year engineering program. Prior to joining the faculty at the Center for STEM Education, Svarovsky worked as a Senior Evaluation and Research associate at the Science Museum of Minnesota. She earned a BS in Chemical Engineering from Notre Dame and a PhD in Educational Psychology from the University of Wisconsin.Dr. Marjorie B. Bequette, Science Museum of Minnesota Marjorie Bequette is Director of Lifelong Learning at Science Museum of Minnesota.Lauren Causey c American Society for Engineering Education, 2016
Paper ID #15530Dimensions of Experienced Responsive Teaching in EngineeringDr. Aaron W. Johnson, Tufts University Aaron W. Johnson is a postdoctoral research associate at the Tufts University Center for Engineering Education and Outreach. He received his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2014, where his research focused on human-automation interaction in complex aerospace vehicles. Aaron also obtained a master’s degree from MIT in 2010 and a bachelor’s degree from the University of Michigan in 2008, both in aerospace engineering.Kristen B. Wendell, Tufts University
approximation in the population. TheRMSEA value for the final model is .069 which indicates an acceptable range (Browne &Cudeck, 1993; MacCallum, Browne, & Sugawara, 1996). This value suggests that the fit of themodel is in a satisfactory level. Another very useful fit index is to use the AIC statistics (Akaike, 1973; 1987). The AICdetermines the hypothesized and final models’ thriftiness and fitting. As it is shown in Table 3AIC, the ACI value of default model (773.220) is higher than saturated model (506.000) whichindicates that the saturated model is a better fitting model than default model, and furtherstatistical results and standardized hypothesized model output are given in Appendix B and C,respectively.Table 3Direct and indirect
%20DR%20TAI%20- %20brochure.pdf (2012).13. PLTW video, Girls in Engineering: How one School is Solving the Problem, https://www.pltw.org/our- programs/experience-pltw/girls-engineering (2012).14. PLTW article, Bertram Visits Schools, Speaks of Urgency in Alaska, https://www.pltw.org/news/items/201410- bertram-visits-schools-speaks-urgency-alaska (2014).15. Cahill, J., Bridging the Engineering Gender Gap, Globe Newswire http://globenewswire.com/news- release/2012/02/23/468807/246867/en/Bridging-the-Engineering-Gender-Gap.html (February, 2012).16. Hughes, R., Nzekwe, B., Molyneaux, K., The Single Sex Debate for Girls in Science: a Comparison Between Two Informal Science Programs on Middle School Students' STEM
solutions.Instructor Performance Indicators At the end of each topic lesson, students were required to evaluate the instructors on theirteaching, course material, and behavior in class (Appendix B). Students evaluated instructors on14 items using a Likert scale between 1 and 5, with 1 being the poorest assessment of a particularitem and 5 being the best, and their results were compiled in a spreadsheet. Summary statisticswere calculated and tabulated as shown in Table 3 for each engineering discipline evaluated. Theaverage results range from 69.2% to 95.4%. Of the six instructors, two obtained average ratingsof above 90%, three received ratings between 80% and 90%, and one received a rating of below70%. Comments that accompanied some of these higher
session In the camp, the girls had the great opportunity to meet two female presidents who are blazinga path for women in their fields, – Carolyn Long, President of WVU Tech and the new WVUcampus in Beckley, and Millie Marshall, President of Toyota Motor Manufacturing WestVirginia. In two separate sessions, these pioneer women shared their experiences anddemonstrate the many opportunities for women in the workplace.Figure 3: In “Meet the President Session” the participants are with (a) WVU Tech president Ms. Long and (b) Toyota Motor Manufacturing West Virginia president Ms. Marshallb) Academy speaker series The STEM Summer camp for Girls invited female speakers from STEM to meet with studentsand share their stories from the
1b.Figure 1. (a) Hydrocolloid visualization immediately upon being mixed into solution. (b)Hydrocolloid particles after being hydrated. The tightly bound particles unwind and thicken thesolution.9The molecular structure of Xanthan gum, Figure 2, was shown to the class before the explanationof how it works as a thickener. Students up to this point had only minimal experience withchemical structures, but they had learned about chemical symbols and the periodic table. A classdiscussion was held asking students to list what they recognized based on the chemical structure.The students were able to identify oxygen, hydrogen, bonds, and the negative charge. Hydrogenbonding was discussed as a primary reason for the hydrophilic nature of the xanthan
test, wax Test the strength of Relate p atterns to Test baskets with wet paper s amples and and water test dry/wet p aper with rocks weaving, create a and d ry rocks and Activities sort u sing those basket p lan, b uild a communicate properties modelLesson Summaries• Lesson 1 – After being introduced to the engineering
., gender, age)? External Comparison Whether the study compared PLTW to non-PLTW participants If so, what? What were the comparative variables used (e.g., math ability)? PLTW Support Whether the results supported Project Lead the Way Curriculum5. ResultsIn total, we collected, retained, and analyzed 31 articles pertaining to PLTW. Appendix A showsan overview of these articles. In this section, we explore (a) the year of publication, (b) the statesincluded, (c) the participants investigated, (d) the research foci, (e) the research methods utilized,and (f) the sample sizes within and across the studies. Next, this section explores each article asgrouped according to three variations: (a) studies that included an internal or
solve problems of their own. One young maker spoke of their facilitatorsaying, My pre-engineering teacher kick started my middle school making experience. What he was really good at was instead of being those known parents in our competitions that will be the ones to build the robot and not even let their kids touch it, Mr. B was one of the teachers that would basically just sit back and he want you to discover the rules, and discover what you can and can not do yourself.The idea of leaving the child to explore the bounds of a problem themselves allows them to get abetter understanding of real life engineering lessons. It also instills in the child a knowledge ofhow to approach new topics, creating lifelong
minimize the weight of their BMS by thinking critically about where it isnecessary to use more or less adhesive.Dynamic behavior predictions and shaking table testing follow the construction of each team’sBMS. Students calculate the mass and stiffness to determine the natural frequency of their BMS.The mass is recorded using a scale, and the stiffness is calculated using the empirical Equation 1. + / 5 = Stiffness = K = + 325 + 900[unitsare ] (Eq. 1) ,,- 01 16 >where, B = total length of added braces (in); G = total number of gusset plates; S = total
, findings indicate FIRST® participants use techniques andmodern tools and apply principles, procedures and methodologies. Thus, FIRST® facilitatesimportant learning experiences both inside and outside the classroom.Table 1: Team Leader View: FIRST® impacts student interest, skills and abilities N=450 X σX a. Team members’ interest in/awareness of how math or science used in real world 3.36 .67 b. Team members’ interest in computers and technology 3.64 .51 c. Team members’ interest in jobs or careers in science/ technology 3.55 .69 d. Team members’ interest in succeeding in school
Paper ID #15123A Workshop to Aid High School Science Teachers in Developing EngineeringDesign Activities (Evaluation)Dr. Kathleen A. Harper, The Ohio State University Kathleen A. Harper is a senior lecturer in the Department of Engineering Education at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics department and college of
-oriented learning” (p. 111). This transitional period inbrain development, and ability to process and connect information, provides a beneficialplatform for exploring the STEM disciplines through hands-on, experiential activities.Intended learner outcomes evolved based on the literature reviews, input from education experts,and several iterations of the informal educational camps. The revised learner outcomes measurethe extent to which students: a) Increase cognizance and attitudes towards a global perspective of the environment and sustainability; b) Could identify personal behavior changes to live more sustainably; and, c) Could identify how society could change present behaviors to help maintain the planet’s limited
Physics in 2010 and M.S. in Science and Technology Studies in 2011, both from Rensselaer Polytechnic Institute. After that, he taught high school Physics in Newark NJ. He is currently a Ph.D student at NYU in Science Education, working on multiple projects which focus on urban science education. Colin’s interested in studying urban science education around issues of equity, learning in and out of school, teacher preparation and students from multiple lenses.Dr. Jennifer B. Listman, New York University Dr. Jennifer Listman is the Assistant Director, Program Development and Evaluation, Center for K12 STEM Education, New York University Polytechnic School of Engineering. As the Center’s resident re- search scientist, she
University Colin received his B.S. in Physics in 2010 and M.S. in Science and Technology Studies in 2011, both from Rensselaer Polytechnic Institute. After that, he taught high school Physics in Newark NJ. He is currently a Ph.D student at NYU in Science Education, working on multiple projects which focus on urban science education. Colin’s interested in studying urban science education around issues of equity, learning in and out of school, teacher preparation and students from multiple lenses.Dr. Jennifer B. Listman, New York University Dr. Jennifer Listman is the Assistant Director, Program Development and Evaluation, Center for K12 STEM Education, New York University Polytechnic School of Engineering. As the Center’s
analyzed. The most significant influence of the BMEC curriculum was its informativenature. Students overwhelmingly reported increased awareness of biomedicalengineering. We also saw a significant increase in the number of students that wantedto pursue careers in biomedical engineering. These findings demonstrate that informingstudents about engineering fields is an important first step in increasing the number ofstudents that pursue these fields. Results from Pilot implementation of BMEC, 13ReferencesBerland, L. K. (2011). Designing for STEM integration. Journal of Pre-College Engineering Education Research (J-PEER), 3(1), 23-31.Berland, L. K., Martin, T. H., Ko, P., Peacock, S. B., Rudolph, J. J
groups of classes that worked together to complete the projects:(a) School 1 (Anatomy & physiology; engineering and technology; geometry); (b) School 2(engineering and technology; geometry; general physics); (c) School 3 (biology; statistics;engineering and technology); and (d) School 4 (calculus; general and AP physics; engineeringand technology). The total number of participating students across the four schools was 373. Ofthe overall sample, 73 participants were missing data at either pretest or posttest and were thusexcluded from the analytic sample. The final analytic sample for this study consisted of highschool students in the 9th (20%), 10th (39%), 11th (19%), and 12th (22%) grades. The sample wasnearly evenly split by gender (54
tooth material, the dentist uses a ceramic paste to fill the area in which the toothmaterial was removed. The paste is cured and solidifies to complete the treatment process.3. LegoTM –based Desktop FactoryTo create the LegoTM-baseddesktop factory analog of thedental carie removal process, twoexisting LegoTM machinetools[10,11] were implemented sideby side (schematic shown in Fig.1 (b)) with the studentsperforming the operations on afloral foam workpiece.Additional modifications,including a custom builtgraphical user interface, andelectronic controls, were made toallow for remote operation of thedesktop factory. The detailsassociated with each of themachine tool components used inthe LegoTM desktop
theoretical frames andsubsequent results exemplified and conformed to each theme. Whereas similar syntheses, such asthat performed by Benitti (2012), mainly considered the mundane functionality of roboticplatforms (i.e. what subjects/topics were taught; was robotics an instrument or the educationalfocal point; are robotics truly effective educational tools; etc.), the current review has proffered amore conceptual approach in our attempt to summarize the 119 studies. In short, the purpose of conducting our review was to: a) organize the studiesinvestigating K-12 robotics implementation under various themes in order to present a fluent andcomprehensible picture of the current state of research; b) present a synthesis of empiricalevidence
current cohort’s pre- and post-programanalysis. The second data analysis measured the effects of the program on the current cohort ofteachers by administering a pre-program survey, which was the end of year survey previouslymentioned, and a post-program survey. The post-program survey questions are attached inAppendix B. The pre-program survey captured data related to the teachers’ current classroompractices in regards to the use of the EDP and STEM learning techniques. The post-programsurvey, given to the current cohort of teachers, captured data on how the externship programaffected their perception and intended frequency of use of these concepts in the classroom duringthe upcoming school year. To analyze the data collected from the surveys, a
limited to: Does yourproject speak of your interests? What were the most challenging/hard parts of this project?What made you come up with this idea? What were you attempting to solve? If you could goback and change something, what would it be? The narratives were then collected as theyevaluated their provisional selves via self-reflection.Findings and DiscussionBelow are excerpts from the student narratives collected that provide evidence of selfreflection pertaining to the profile of a design thinker2 and dimensions of the InformedDesign Teaching and Learning Matrix13.EmpathyOn their design serving their own interests well:Student A: “But for the most part you have to leave them out because you can’t be biased asto what the kids want.”Student B
prototype, Ally wrote “We improved cost,” whileColleen said they “improved the most on saving money because we used less materials.” Inaddition, in an assessment, students were asked to evaluate and make recommendations to aclient based on a given set of data of which only two students presented answers that includedelements of EBR that went beyond a claim. Becky’s response was “B, it got the most DNApercent.” To the same question, Colleen’s response was “I would recommend her to use ProtocolB because they got the most DNA out of the blood sample. Protocol B had 0.5% more than theothers.” This suggests that students may use EBR to explain their reasoning for answers theyprovide, though many need to be developed further.ConclusionThis case provides