Paper ID #9177Creating an Infrastructure Education Community of PracticeDr. Philip J. Parker P.E., University of Wisconsin, PlattevilleDr. Carol Haden, Magnolia Consulting, LLC Carol Haden is s Senior Evaluator with Magnolia Consulting, LLC. She holds a doctorate in Curriculum and Instruction with an emphasis on program evaluation from Northern Arizona University. Dr. Haden has extensive experience in the evaluation of formal STEM education projects across the K-20 spectrum and the evaluation of informal STEM Education and Public Outreach (E/PO) programs. She has designed and implemented evaluations of programs
supported by the National Science Foundation under awardnumber DUE - 1317238 and is supported in part by funds given to the National ScienceFoundation by the Intel Foundation and the GE Foundation. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do not Page 24.736.5necessarily reflect the views of the National Science Foundation.References 1. American Society for Engineering Education. 2012. Going the Distance: Best Practices and Strategies for Retaining Engineering. Engineering Technology, and Computing Students. http://www.asee.org/retention- project 2
, Honolulu, HI, March, 2010. 3. D. Hercog, B. Gergic, S. Uran, K. Jezernik, “ A DSP-Based Remote Control Laboratory,” IEEE Transactions on Industrial Electronics, vol.54, no.6, pp.3057 -3068, Dec. 2007. 4. S. Gallardo, F. Barrero, S.L. Toral, M. J. Duran “ eDSPlab: A remote -accessed instrumentation laboratory for digital signal processors training based on the Internet,” 32nd Annual Conference on IEEE Industrial Electronics, IECON 2006, pp. 4656-4661, 6 -10 Nov. 2006. 5. C. Olmi, B. Cao, X. Chen and G. Song, "A Unified Framework for Remote Laboratory Experiments," in Proceedings of 2011 ASEE Annual Conference & Exposition, Vancouver, BC, Canada, June 26 - 29, 2011. 6. C. Omli, X. Chen, and G. Song, "A
process. Fig. 1: The introductory scene of Mystery of Traffic Lights Fig. 2: The road map is enabled in the gameProblem solving demands problem solvers to be constructively responsive, thoughtful, andengaged. The more students are aware of their constructive thinking processes, the more they cancontrol, and the better they can solve the problem. To facilitate students’ self-monitoring andself-regulating their problem-solving in the game, the What I Know-What I Want to Know-What I Have Learned (KWL) reading strategy [6] is adapted to provide students a virtualnotebook called KWS, where S stands for What I Have Solved. Through KWS, students can
could motivate unhelpful actions, such as blaming students in an educational setting. Byunderstanding a robust picture on how professional shame functions in the interior worldsindividual faculty, we aim to help faculty have tools to harness this powerful emotional state inways that increase social connectedness, both for themselves and their academic programs.AcknowledgementsThis work was supported through funding by the National Science Foundation (NSF CAREER#2045392). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Additionally, the authors gratefully acknowledge the anonymous reviewersfor their
Education, Educational Research Methods, Multidisciplinary Engineering, Experimentation and Laboratory-Oriented Studies, and Systems Engineering Divisions. He also volunteers as a Program Evaluator for ABET accreditation in the EAC and ETAC. ©American Society for Engineering Education, 2024 Leveraging Innovation and Optimizing Nurturing in STEM:Engineering identities in low-income students across their first year of college (NSF S-STEM #2130022)Leveraging Innovation and Optimizing Nurturing in STEM (NSF S-STEM #2130022, knownlocally as LION STEM Scholars) is a program developed to serve low-income undergraduateEngineering students at Penn State Berks, a regional campus of the
: Computer Science FAQ”, https://www.NJ.gov/education/techno/csfaq.htm.[6] K. G. Herbert, V. K. Anu, K. Z. Sultana, S. Robila, J. R. Miller, S. Hagiwara, R. A.Goldstein, and T. J. Marlowe, "Professional and Capacity Building in K-12 Computer ScienceEducation: A Multi-Faceted Approach”, ACM SIGCSE '23: Proceedings of the 54th ACMTechnical Symposium on Computer Science Education, Toronto, Canada, March 2023.
, Eds., New York, NY, USA: Routledge, Aug. 2023, pp. 125-143.[6] C. Lewis and R. Perry, “Lesson study with mathematical resources: A sustainable model for locally-led teacher professional learning.” Math. Teacher Educ. and Develop., vol. 16, no. 1, pp. 1-20, Jun. 2014.[7] K. Smith, S. Finney, and K. Fulcher, “Connecting assessment practices with curricula and pedagogy via implementation fidelity data,” Assmt. & Eval. in Higher Educ., vol. 44, no. 2, pp. 263-282, 2018, doi: 10.1080/02602938.2018.1496321.[8] M. Swain, S. J. Finney, and J. J. Gerstner, “A practical approach to assessing implementation fidelity,” Assmt. Update, vol. 25, no. 1, pp. 5-13. Jan-Feb. 2013.[9] M. Vazquez Cano and M. Yin
conductingcontrol group data collection. All educational materials will be designed to use in the controlgroup (without SedimentSketch), and then repeated using SedimentSketch in the test group.Additionally, we are working on the initial user interface design and development of the pilotversion of SedimentSketch.In years two and three, we will complete SedimentSketch development, test it in the classroom,and work on assessment data analysis and evaluation.1 AcknowledgementsThis work was supported by the National Science Foundation under Grant “HSI Implementationand Evaluation Project: SedimentSketch, teaching tool in and beyond the sedimentologyclassroom to provide equitable and inclusive learning for Hispanic students” #2318386.References[1] R. S
.; Johnson, M. Advanced Manufacturing Research Experiences for High School Teachers: Effects on Perception and Understanding of Manufacturing; 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah. 10.18260/1-2--30079.(3) Pinnell, M.; Taylor, M. R.; Mian, A.; Preiss, S. M.; Petry, L.; Franco, M. S. Assessment of a Collaborative NSF RET Program Focused on Advanced Manufacturing and Materials, 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26325.(4) Zhu, W.; Fan, X.; Brake, N.; Liu, X.; Li, X.; Zhou, J.; Sisk, D.; Yoo, J. Engineering Design and Manufacturing Education through Research Experience for High School Teachers. Procedia Manuf. 2018, 26, 1340–1348.(5) Zhang, W. Manufacturing
Integration in Core Engineering Science Courses,” Proceedings of the ASEE Annual Conference & Exposition, p. 1, Jan. 2015.[8] J. Larson, W. M. Barnard, A. R. Carberry, and D. Karwat, “Student Recognition, Use, and Understanding of Engineering for One Planet Competencies and Outcomes in Project-based Learning,” presented at the 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021. Accessed: Jan. 08, 2024. [Online]. Available: https://peer.asee.org/student-recognition-use-and-understanding-of-engineering-for-one-plan et-competencies-and-outcomes-in-project-based-learning[9] D. Lopatto, “Undergraduate research as a high-impact student experience,” Peer Review, vol. 12, no. 2, p. 27+, 2010.[10] A. L. Zydney, J. S
approach to assess newly designed modulesfor the QIST hardware course offered in the Spring 2024 semester at the University of Florida.Introduction & BackgroundQuantum computing is a field of computing that utilizes principles from quantum mechanics, abranch of physics that deals with the behavior of matter and energy at the atomic and sub-atomicscales. At the atomic and subatomic levels, electrons, photons, and ions act as qubits. In classicalcomputers, bits are processed sequentially, performing tasks one after the other. However, inquantum computing, qubits can be entangled, a phenomenon where the state of two or morequbits becomes correlated. Unlike classical computers that use bits to represent information as0’s and 1’s, quantum computers
refining K-12 engineering standards, our work can inform that process andsupport the NAE’s goal of expanding the pipeline of engineering students.We will also prepare and deliver research briefs targeted to each of the stakeholders andrepresentative organizations. This will include organizations like the National Academy ofEngineering and individual K-12 engineering programs like Project Lead The Way and FIRSTRobotics. Finally, we will prepare journal articles and conference presentations targeted atundergraduate engineering educators.Bibliography1. NAE Committee on K-12 Engineering Education. Engineering in K-12 education : understanding the status and improving the prospects. (National Academies Press, 2009).2. Brophy, S., Klein, S
motivation. Inthe beginning of the learning styles module, students take a learning style questionnaireto determine their preferred learning style(s). We chose the Barsch Inventory1 for our e-learning module because it is simple and can be used free of charge with permission. Itidentifies four learning styles: visual, auditory, tactile, and kinesthetic. Figure 1summarizes the content of the learning styles module. Page 23.895.2 Barsch Inventory • Pre-‐test Tutorial on Punnett • Material presented in most preferred (or least Square (or mitosis) preferred) style • Post-‐test
improvement groups.Figure 1 also shows the needs improvement group (n = 45)’s average scores in the nine outcomesand a grand average of 1.52. None of the outcomes reached 2 or a satisfactory score. The highestthree scored outcomes included outcomes 8 (an average of 1.76), 2 (an average of 1.67), and 9(an average of 1.66). The scores from the needs improvement group in demonstrating lab reportgenre convention, writing experimental processes, and providing an error-free document werebetter than those in other writing outcomes. The worst three scored outcomes included outcomes5 (an average of 1.34), 6 (an average of 1.42), and 7 (an average of 1.49). This group of studentsstruggled to interpret lab data, provide a productive conclusion, and develop
curated thelesson plan content to directly relate to their specific context, in collaboration with each other and ourresearch team.We built the curriculum leveraging students’ existing conceptions and misconceptions about AI from priorwork while testing the feasibility of addressing AI learning objectives, as well the AI4K12’s Five Big Ideas,in the broader context of middle school science, technology, engineering, mathematics, and computing(STEM+C) education. Our lessons were scaffolded using the iterative machine learning developmentprocess: 1) data collection and preparation; 2) selecting and training the model; 3) evaluating the models’accuracy; 4) tuning model parameters to improve performance. Each stage of the development processconstituted
) Career_choice Demographi Gender Firstgen_Student (Industry Vs. Multiple_AP_course c Attributes (Male/Female) (Yes/No) Academia) s (Yes/No) Freshmen D1 Fail to reject H0 Fail to reject H0 Fail to reject H0 Fail to reject H0 D2 Fail to reject H0 Fail to reject H0 Fail to reject H0 Fail to reject H0 D3 Fail to reject H0 Fail to reject H0 Fail to reject H0 Fail to reject H0 Seniors D4 Fail to reject H0 Fail to reject H0 Fail to reject H0 Fail to reject H0 D5 Fail to reject H0 Yes>No Fail to reject H0 Fail to reject H0 D6 Fail to reject H0 Fail to reject H0
. 10.18260/p.25933[2] National Science Foundation. Veterans’ education for engineering and science. Report of the NSF Workshop on Enhancing the Post-9/11 Veterans Educational Benefit. McLean, VA, April 13, 2009.[3] F. M. Connelly and D. J. Clandinin, “Stories of experience and narrative inquiry,” Educ. Res., vol. 19, no. 5, pp. 2–14, Jun. 1990.[4] M. Q. Patton, Qualitative Research & Evaluation Methods, 3rd ed. Thousand Oaks, CA: SAGE, 2002.[5] G. A. Phillips and Y. S. Lincoln, “Introducing veteran critical theory,” Int. J. Qual. Stud. Educ., vol. 30, no. 7, pp. 656–668, 2017.[6] T. J. Yosso, “Whose culture has capital? A critical race theory discussion of community cultural wealth,” Race Ethn. Educ., vol. 8, no. 1, pp. 69–91
academicperformance as well as how students may respond to obstacles while in the academic setting.This data is de-identified and kept secure to protect the anonymity of the survey respondents.Table I: Information on the surveys completed Academic Year Surveys Completed Notes 2017-2018 321 Mostly Mechanical Engineering (M.E.) students 2018-2019 1253 All Engineering First Year students and Most M.E.’s surveyed 2019-2020 530 Only M.E. students surveyed 2020-2021 517 +Ongoing All M.E. students via QualtricsValidation of Survey ResultsIn addition to the EFA of the pilot survey data, further
students) andthrough promoting disciplinary (engineering education and ET) and cross disciplinarycollaborations (human resource development, higher education leadership, and student affairs).With one year remaining before completion of this project, this project has promoted a betterunderstanding of student and faculty barriers supporting career development for ET students andidentified need for career development resources and curriculum in ET.References[1] National Academy of Engineering, “Engineering technology education in the United States,”Washington, DC: The National Academies Press, 2016.[2] R. Lent, and S. Brown, “Social cognitive approach to career development: An overview.”Career Development Quarterly, vol. 44, pp. 310-321, 1996.[3] E
being adopted by teachers, the effect on teacher andstudent attitudes toward science, and how the activities are sustained over time. This researchwill help reveal the scope of LTW’s value and guide iterations of the online tools andcurriculum.On a more general level, I envision that LTW will contribute to a deeper integration of music inthe schools’ curriculum, for example by incorporating other subjects such as the creation ofelectronic music through computing, and the relations between music and data science, history,literature, foreign lenguages, and world-culture. 10References.[1] J. B. Brockman, D. C. Hall, S. P. Martin, and L. A. Phillips
modules provide opportunities for students and teachers alike to be introduced toengineering design.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.EEC-1824856 and EEC-1824859.References[1] NGSS Lead States. Next generation science standards: For states, by states. Washington,DC: National Academies Press, 2013.[2] P. Trygstad, P. S., Smith, E. R. Banilower, & M. M. Nelson, M. M. The Status of ElementaryScience Education: Are We Ready for the Next Generation Science Standards?. Chapel Hill, NC:Horizon Research, Inc, 2013.[3] D. Harlow, R. Skinner, A. Hansen, J. McBeath, J. Pulgar, A. Spina., M. McLean, C.Barriault, A. Prud’homme-Genereux, “Creating STEM Learning Opportunities
and Evaluating Multidisciplinary Translational Teams: AMixed Methods Approach,’ Evaluation & the Health Professions 2014, Vol. 37(1)[33-49]Scott, C. J., & Aybar, J. D., & Abraham, S., & Albin, S., & Andrei, P., & Attia, J.O., & Chouikha, M. F., & Bernadin, S. L., & Connor, K. A., & Dabipi, I. K., &Eldek, A. A., & Geddis, D., & James-Okeke, P. A., & Kelly, J. C., & Leigh-Mack,P., & Morales, J. C., & Ndoye, M., & Nyarko, K., & Oni, B. O., & Quinones, S.A., & Reece, M. A., & Zhang, L., & Zein-Sabatto, S. (2019, June), Board 65:Work in Progress: Growing and Sustaining a Successful Collaboration ofPrograms Developing and Implementing Experimental Centric
council jointly with South Mountain Community College (SMCC)and Gateway Community College (GWCC) moving forward. Each college provided industryrepresentatives to a consolidated member list. The initial meeting was held March 30, 2021. Tofurther engage industry, Phoenix College hosted the March 4, 2021 Future of Work Summit thatincluded a track for the Information Technology(IT) / Cybersecurity industry segment along withthree other segments. As prework, participants were asked to review highlights for theSegment(s) that they plan to engage with during the event. Panels for the different Segmentswere held in breakout groups. The segment panels were moderated by Chamber Executives,hosted by College Presidents and included faculty, students and
the instructor and learner. Thisinformation will be used by both the instructor and learner(s) to guide decision making andengagement in bio-inspired design. Rubrics or grading guidelines will be created for eachformative assessment to ensure they align with the project goals and learning objectives.Summative assessment will occur at the end of the bio-inspired design instruction and will bealigned to the project goals and learning objectives. Summative assessment may be individual orcollaborative with peer feedback or an individual or collaborative deconstruction and analysis ofa model bio-inspired design. A rubric for the summative assessment assignment will be created,integrating the key knowledge and skills embedded in the project goals
. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References1. Chandrupatla, T. R., Dusseau, R. A., Schmalzel, J. L., Slater, C. S., (1996). “Development of multifunctional laboratories in a new engineering school.” Proc., ASEE, Washington, DC.2. Marchese, A. J., Hesketh, R. P., Jahan, K., (1997). “Design in the Rowan University Freshman Engineering Clinic.” Proc., ASEE, Milwaukee, WI.3. Newell, J. A., Marchese, A. J., Ramachandran, R. P., Sukumaran, B., Harvey, R., (1999) “Multidisciplinary design and communication: a pedagogical vision.” Int. J., Engineering Education, 15, 376–382.4. Dahm, K. D
quantify the education outcomes in this project. The developeddataset and assessment approaches are being integrated into a single education module for theenhancement of mechanics education across the U.S.AcknowledgementThe authors appreciate the financial support of National Science Foundation, project number is1712178. We also appreciate Fabrisonic LLC for providing the 3D printed aluminum materials.References[1] G. L. Gray, F. Costanzo, D. Evans, P. Cornwell, B. Self, and J. L. Lane, The dynamics concept inventory assessment test: A progress report and some results, in American Society for Engineering Education Annual Conference & Exposition, 2005.[2] D. Montfort, S. Brown, and D. Pollock, An investigation of students
. Proceedings - Frontiers in Education Conference, FIE. Rapid City, SD, SB3-1-SB3-5.[8] Wineburg, S., (1998). Reading abraham lincoln: An expert/expert study in the interpretation of historical texts. Cognitive Science, 22 (3), 319-346.[9] Schwartz, D.L., Bransford, J.D. & Sears, D., (2005). Efficiency and innovation in transfer. In Mestre, J.P. ed. Transfer of learning from a modern multidisciplinary perspective. Greenwich, CT :: IAP.[10] Golter, P., Van Wie, B. & Brown, G., (Year). Comparing student experiences and growth in a cooperative, hands-on, active, problem-based learning environment to an active, problem-based environmented.^eds. ASEE Annual Conference and Exposition, Conference Proceedings
material is based upon work supported by the National Science Foundation Division ofGraduate Education under Grant Numbers DGE-1535462/1535226. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.
encourage more women andunderrepresented students to pursue engineering and to consider more fully the wide range ofengineering disciplines available.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1505006. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.ReferencesBandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior andHuman Decision Processes, 50(2), 248-287.Wharton, A. (1992). The social construction of gender and race in organizations: A socialidentity and group mobilization perspective. In P. Tolbert & S