. 1, pp. 21–33, 2014, https://doi.org/10.1615/JWomenMinorScienEng.2014006834[5] J. Walther, M. A. Brewer, N. W. Sochacka, and S. E. Miller, “Empathy and engineering formation,” Journal of Engineering Education, vol. 109, no. 1, pp. 11–33, 2020, https://doi.org/10.1002/jee.20301[6] M. Hynes, and J. Swenson, “The Humanistic Side of Engineering: Considering Social Science and Humanities Dimensions of Engineering in Education and Research,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 3, no. 2, Article 4, 2013, https://doi.org/10.7771/2157-9288.1070[7] A. Balsamo, Designing culture: The technological imagination at work. Durham, NC, USA: Duke University Press
., Charles, P., Orthner, D., & Cooley, V. (2011). Teacher Perspectives on Career-Relevant Curriculum in Middle School. RMLE Online, 34(5), 1–9.https://doi.org/10.1080/19404476.2011.11462078[10] Elliott, J. W., Perkins, M., & Thevenin, M. K. (2018). Measuring Undergraduate Students’Construction Education Domain Self-Efficacy, Motivation, and Planned Behavior: Validation ofa Concise Survey Instrument. International Journal of Construction Education and Research,14(4), 235–256. https://doi.org/10.1080/15578771.2017.1316802[11] Riojas, M., Lysecky, S., & Rozenblit, J. (2012). Educational Technologies for PrecollegeEngineering Education. IEEE Transactions on Learning Technologies, 5(1), 20–37.https://doi.org/10.1109/TLT.2011.16[12] Adams, L
Learning: Cooperation in the College Classroom, 2nd ed. Edina, MN: Interaction Book Co., 1998.[12] D.W. Johnson, R. T. Johnson, and K.A. Smith, “Cooperative learning returns to college What evidence is there that it works?” Change, vol 30, no. 4, pp. 26-35, 1998.[13] M. Laal and S. M. Ghodsi, “Benefits of collaborative learning,” Social and Behavioral Sciences, vol. 31, pp. 486-490, 2012.[14] K. A. Smith, S. D. Sheppard, D. W. Johnson, and R. T. Johnson, “Pedagogies of Engagement: Classroom-Based Practices,” Journal of Engineering Education, vol. 94, no. 1, pp. 87–101, Jan. 2005.[15] B. Barron, “Achieving coordination in collaborative problem-solving groups,” Journal of the Learning Sciences, vol. 9, no. 4, pp. 403–436, Oct. 2000
identify, enact and develop culturally responsive practices grounded in asset-based approaches in STEM.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantsNo. 1713547 and 1826354. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and not necessarily reflect the views of theNational Science FoundationReferences[1] M. J. Mohr‐Schroeder, C. Jackson, M. Miller, B. Walcott, D. L. Little, L. Speler, et al., "Developing Middle School Students' Interests in STEM via Summer Learning Experiences: S ee B lue STEM C amp," School Science and Mathematics, vol. 114, pp. 291-301, 2014.[2] M. Yilmaz, J. Ren, S. Custer, and J
category is defined to characterize the different perspectives on engineeringfrom the participants on what engineering is. As shown in the quotes under “different ideas aboutengineering”, T1 talked about engineering at the system level, while T2 talked about applyingconcepts to build something. In addition, each counselor also had unique ideas: C1 talked about“manipulating things for a certain outcome” and C2 mentioned that engineering is “mathy” andsciency”. These show that there are differences in how the four participants thought aboutengineering. T1, T2 and C1 had specific definitions about engineering. These are all in contrastwith C2’s comments that engineering is “mathy” and “sciency”. For context, both T1 and T2were teachers that expose
are hands-on and include data analysis that the students and teachers arecapable of doing in the allotted time.References[1] Utah State Board of Education. (2019). Utah Science with Engineering Education (SEEd) Standards.[2] National Research Council, Committee on a Conceptual Framework for New K–12 Science Education Standards, Board on Science Education, Division of Behavioral and Social Sciences and Education. 2012. “A Framework for K–12 Science Education: Practices, Crosscutting Concepts, and Core Ideas.” Washington, DC: National Academies Press.[3] S. Boesdorfer and K. Staude, “Teachers’ Practices in High School Chemistry Just Prior to the Adoption of the Next Generation Science
may be used as an evaluation instrument for feedback toimprove the instruction and implementation of engineering practices.AcknowledgmentsThis work was supported by the U.S. National Science Foundation through Grant No. 1220305.The opinions expressed are those of the author(s) and do not necessarily represent those of theNSF. The author wishes to thank the field experts for their time and suggestions for the EPSinstrument. I would like to specifically thank Christine Cunningham, Cathy Lachapelle, WalterSmith, Hansel Burley, Michael Strong, Jaehoon Lee, and Christine Anne Gentry for theirsupports and in enhancing the EPS instrument. ReferencesAlexander, P. A., Schallert, D. L., & Hare, V. C. (1991
activities as well asquotes from the student journals. This means the parent or guardian has some involvement in thecamp despite not attending in person.ReferencesBoesdorfer, S. & Staude, K. (2016). Teachers’ Practices in High School Chemistry Just Prior to the Adoption of the Next Generation Science Standards. School Science and Mathematics, 116, 442–458. doi:10.1111/ssm.12199Burke, A. (2019, September). U.S. S&E Workforce: Definition, Size, and Growth. Retrieved https://ncses.nsf.gov/pubs/nsb20198/u-s-s-e-workforce-definition-size-and-growthDeiglmayr, A., Stern, E. & Schubert R (2019) Beliefs in “Brilliance” and Belonging Uncertainty in Male and Female STEM Students. Frontiers In Psychology. 10:1114. Doi
’ attitudes to science: A review of research,” Slough, England, 1975.[6] C. Murphy and J. Beggs, “Children’s perceptions of school science A study of 8–11 year- old children indicates a progressive decline in their enjoyment of school science,” Sch. Sci. Rev., vol. 84, no. 308, 2003.[7] J. Osborne, S. Simon, and S. Collins, “Attitudes towards Science: A Review of the Literature and its Implications.”[8] M. F. Neathery, “Elementary and secondary students’ perceptions toward science: Correlations with gender, ethnicity, ability, grade, and science achievement,” Electron. J. Sci. Educ., vol. 2, no. 1, 1997.[9] N. E. Betz, “Career counseling for women in the sciences and engineering,” in Career
evolve both the CT-integrated activities and the research instruments for the most effective curriculum design. The curriculum will follow design principles and inclusive engineering experiences from Cunningham and Lachapell [21] and follow a 5-E constructivist model of engage, explore, explain, elaborate and evaluate [22]. CT thinking practices were pulled by the university research team from Weintrop et al.’s Taxonomy of CT [23] for integration with STEM. Those practices include Data Collection, Data Creation, Understanding a System as a Whole, Understanding the Relationship Between Parts of a System, Preparing Problems for Computational Solutions, a bit of Programming, and Using Computational Models to Solve a Problem. Data Practices
middle school science classroom can video games and alternative text heighten engagement and learning for students with learning disabilities?. Learning Disability Quarterly, 37(2), 87-99.3. Israel, M., Marino, M., Delisio, L., & Serianni, B. (2014) Innovation configuration on supporting content learning through technology for K-12 students with disabilities CEEDAR Center, University of Florida: Gainesville, FL4. Basham, J. D., Smith, S. J., Greer, D. L., & Marino, M. T. (2013). The scaled arrival of K-12 online education: Emerging realities and implications for the future of education. Journal of Education. 193(2), 51-60.5. Vasquez, E. (2018, July). Keynote: Leveraging innovation for enhanced supports for
also by generating some turnover among the participants.In the long run the successful implementation of the cooperation will result in increasinginterest of local pupils to study engineering at LUT University. However, it will take a longtime before the full potential of the cooperation is in use, and therefore these other indicatorsof the effectiveness of the activities must be systematically developed and applied.References[1] H. Kirschenbaum & C. Reagan, “University and urban school partnerships. An analysis of57 collaborations between university and a city school district,” Urban Educ. vol. 36, no. 4,pp. 479–504, Sep. 2001, doi:10.1177/0042085901364003[2] S. Sjøberg & C. Schreiner, “The ROSE project. An overview and key findings
simpler design canvas model. The essential ingredient in the development of thedesign canvas tool of [9] is the S*Metamodel proposed in [25]. Specifically, according to [25], theS*Metamodel constitutes a minimal representation with which an engineering system can bedescribed accurately. This S*Metamodel framework provides the foundation for the developmentof the design canvas wherein the smallest amount of data is needed to represent the underlyingsystem and characterize the relationship among its disparate components. See [25] for detailedexplanations about how the S*Metamodel framework is enacted to design models of engineeringsystems.In creating a business or design canvas tool with the aid of S*Metamodel, it is essential to identifythe
forward to the nextround of action research project presentations to see what more we can learn. References[1] M. K. Eagan, S. Hurtado, M. J. Chang, G. A. Garcia, F. A. Herrera, and J. C. Garibay, “Making a difference in science education: The impact of undergraduate research programs,” Am. Educ. Res. J., vol. 50, no. 4, pp. 683–713, Aug. 2013, doi: 10.3102/0002831213482038.[2] G. J. Duncan and R. J. Murnane, Eds., Whither opportunity? rising inequality, schools, and children’s life chances. New York : Chicago: Russell Sage Foundation ; Spencer Foundation, 2011.[3] National Center on Afterschool and Summer Enrichment (NCASE), “Why Summers Matter,” p. 6
Professor (Lecturing) in the Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory and freshman design laboratory. His research interests focus on undergraduate education, targeted drug delivery, photobioreactor design, and instrumentation.Prof. Jason Wiese, Jason Wiese is an Assistant Professor in the School of Computing at the University of Utah. His research takes a user-centric perspective of personal data, focusing on how that data is collected, interpreted, and used in applications. His work crosses the domains of
was jointly supported by the CollegeNow City University of New York program and NSF ATE Project #1601636 - Chemical andBioEnergy Technology for Sustainability (CBETS). Thank you to Ms. Susana Rivera forproviding the demographic information for the program and for her support of the College Nowprogram at BCC.References[1] J. C. Chang, "Women and minorities in the science, mathematics and engineering pipeline," ERIC Digest, p. ED467855, 2002.[2] J. Jones, A. Williams, S. Whitaker, S. Yingling, K. Inkelas, and J. Gates, "Call to action: Data, diversity, and STEM education," Change: The Magazine of Higher Learning, vol. 50, no. 2, pp. 40-47, 2018/03/04 2018.[3] "Federal science, technology, engineering, and mathematics
inengineering. Cronbach alpha, the statistic used to describe the internal consistency of the VNOEK, was 0.82. In addition, we examined what the alpha value would be if any features or sub-features wereTable 3. Frequencies of participant roles (n=148) removed from the scoring procedures and no change in internal consistency was observed aboveSelect the role(s) that best 0.84. This supports the claim that each feature and sub-feature
occur incidentally rather than as purposeful engagement in the EDP. Clear Evidence Clear evidence that students engaged in particular stage of EDP. Student behaviors clearly indicative of EDP engagement.Figure 3. Matrix Illustrating EDP Engagement During Elephant Task by GroupTable 2. Illustrative Examples: EDP Engagement During the Elephant Performance Task EDP Stage Code Definition Illustrative Example Identify Student(s) review and/or discuss the problem When one student in Group 6 begins using materials to build a model of the box car, statement. Includes any statements students another student re-focuses
your road and a timer to do 10-minute time checks throughout the building. TAKE TURNS with the jobs of holding, building, taping, and supply gathering. 8) Place a 1 next to a point in your road where cars will accelerate. 9) Place a 2 next to a point in your road where cars decelerate. 10) Place a 3 next to the point(s) where cars have the greatest potential energy. 11) Place a 4 next to the point(s) where cars have the greatest kinetic energy.KEY POINT: Industry partners participated in this intervention by offering insights from theirtechnical backgrounds and company practices and assisted with the hands-on lessons in theclassroom
this study. (Note: the original TAS was on a4-point Likert scale and the enjoyment of teaching STEM subjects (Enj) was inadvertentlyomitted from this survey.) Subcategories in the survey include relevance of engineering (RoE),pedagogy for teaching engineering (Ped), when to teach engineering (WtTSE), characteristics ofengineers (SoE), and improving abilities to teach engineering (IAtTE).In general, the Teacher Attitude Survey for this group of summer camp team lead participantswas slightly higher than the teachers in Lachapelle et al.’s sample [14]; for each subcategory,scores were 2-5% higher for the summer camp teachers than post-tests for teachers who hadengaged in Museum of Science engineering professional development (see Table 2). This
• Requires access to • 3Doodler.com• Lightweight power • scribbler3dpen.com• Various color options • Takes practice • OfficialRainbowGirl.com• Durable and long- • Device can jam lasting• Affordable• ConvenientCitationsBada, S. O., & Olusegun, S. (2015). Constructivism learning theory: A paradigm for teaching and learning. Journal of Research & Method in Education, 5(6), 66-70. Balletti, C., Ballarin, M., & Guerra, F. (2017). 3D printing: State of the art and future perspectives. Journal of Cultural Heritage, 26, 172-182.n.d. (2020). The engineering design process
mistakes may be critical to their success. In many subjectsmistakes are a sign of failure. Students who fail to memorize facts and procedures (e.g. spelling,grammar, multiplication tables) are less apt, yet in being a programmer may require analternative measure of success than counting correct and incorrect attempts. Programming doesrequire the memorization of details but equally requires improvement through trial and error.Papert et al. in the 70’s observed students learned through experimentation and play, noting“[p]resumably kids need this experience, no matter what the medium in which they are working”(Papert & others, 1978, p. 71). Yet the 6th graders with which Papert et al. were working werenot able to successfully learn from
administered. Each survey took approximately 15 minutes tocomplete. Validated constructs were used when possible. Specifically, the “teamwork andcollaboration skills” and “intent to persist” constructs demonstrated good internal consistencywhen previously validated in middle school samples, with Cronbach’s alphas of 0.88 and 0.86,respectively [7], [21]. Table 1 provides further information on the subscales used in the pre-postsurvey.Table 1: Pre-Post Survey Subscales Number Subscale Source of Items Example Item(s) Response Format “How confident do you feel designing a prototype 4
their teacher’simplementation of the e4usa curriculum caused their interest in science to grow, whichdemonstrates that, in addition to the engineering design curriculum itself, a teacher’simplementation of the curriculum is also important for increasing students’ science interest. InHill et al.’s meta-analysis of 89 professional learning programs for STEM teachers, theresearchers found that programs that focused on training teachers to use curriculum materials andstrengthening teachers’ content knowledge, pedagogical content knowledge, and knowledge ofstudent learning were associated with better achievement outcomes when compared to programsthat did not emphasize these goals [5]. Our findings suggest that e4usa’s professional learningprogram
cyberinfrastructure," presented at the XSEDE12, Chicago, USA, 16-20 July 2012.[10] A. Wilson, K. Spohrer, A. Beasley, K. Hunter, and R. Bruner, "Mentoring into higher education: A useful addition to the landscape of widening access to higher education?," Scottish Educational Review, vol. 46, no. 2, pp. 18-35, 2014.[11] R. S. Lewis et al., "Examining the Value of Mentoring in Youth Engineering Programs: What Motivates a Mentor to Mentor?," presented at the 2018 IEEE Frontiers in Education Conference (FIE), San Jose, USA, 2018.[12] J. DeWaters, S. Powers, and M. Graham, "Partners in engineering: Outreach efforts provide holistic engineering education for middle school girls," presented at the American Society
SummariesFull portraits of each PSTs’ experiences are currently being composed. Because data analysis iscurrently underway, and the generation of the final portraits is a substantive task, portraitsummaries are provided below. Again, given the extensive nature of the data analysis necessaryto compose a complete portrait, the following summaries are only brief snapshots of the fullportraits we are currently developing to more completely detail each PSTs’ experiences.KristinaKristina, a senior elementary education major also working toward a science education option,was a strong student both in Author 1’s educational technology course and Author 3’s sciencemethods course. She brought enthusiasm and energy to her coursework and was often seen as aleader
color ball in the same color or creating tube for each animal. patterns 1Links to the activities which include pictures and descriptions will be provided when paper is unblinded. References[1] J. Wing, “Computational Thinking,” Commun. ACM, vol. 49, no. 3, pp. 33–35, 2006.[2] W. Sung, J. Ahn, and J. B. Black, “Introducing Computational Thinking to Young Learners: Practicing Computational Perspectives ThroughEmbodiment in Mathematics Education,” Technol. Knowl. Learn., vol. 22, no. 3, pp. 443–463, 2017.[3] S. P. Jones, “Computing at school in the UK : from guerrilla to gorilla,” Commun. ACM, no. April, pp. 1–13, 2013.[4] A. Dasgupta, A. M. Rynearson, S. Purzer, H. Ehsan, and M. E. Cardella
InterviewsMSEN teachers, student participants, and mentors participated in either focus groups or interviewsto determine the program’s impact on the items outlined in the evaluation criteria. Semi-structuredinterview protocols were used to guide discussions with participants. Interviews and focus groupswere digitally recorded and transcribed. A reflective analysis process was used to analyze andinterpret interviews and focus groups.Test of Students’ Science KnowledgeA student science content knowledge assessment aligned to the instructional goals of the researchcourse was developed and administered at the onset and conclusion of each part of the course.S-STEM SurveyThe S-STEM Student Survey measures student self-efficacy related to STEM content
abilities of most high school STEM teachers. Pre-planning with these circuit boards was a significant factor in the project’s success (Appendix B).Results and AnalysisResults from the 2017 implementation cycle are presented in this paper; these results indicatethat the unit successfully met its three objectives. Results from the 2018 cycle, in which a fewimprovements to the unit were incorporated, will be included once they are available.Objective 1: Before starting the unit, all 59 students were given a survey with twenty statementsadapted from the Friday Institute highschool S-STEM survey [9], NGSS 21stCentury skills statements, and NGSSengineering design standards. Thesewere grouped according to threethemes: students’ interest inengineering (ex
in a STEM outreach program, it stands to reason that STEM outreach programs canbe helpful in strengthening grit in younger female students as grit is best when developed at ayounger age [18].AcknowledgmentsOpinions, findings, conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. Thismaterial is based upon work that was partly funded by the National Science Foundation undergrant number IIA1301726.References[1] Kuenzi, J. J. (2008). Science, technology, engineering, and mathematics (STEM) education: Background, federal policy, and legislative action. Washington, DC: Congressional Research Service.[2] National Academy of