Paper ID #43561Elementary Student Teams’ Design Failure Experiences and Factors that Affecttheir Opportunities to Learn from Failure (Fundamental)Dr. Pamela S. Lottero-Perdue, Towson University Pamela S. Lottero-Perdue, Ph.D., is Professor of Science and Engineering Education in the Department of Physics, Astronomy & Geosciences at Towson University. She has integrated engineering into courses for PreK-8 teacher candidates, developed and directed a graduate STEM program for PreK-6 teachers, and partnered with teachers to implement PreK-8 science-integrated engineering learning experiences. She has authored numerous
Education Research (EER).Mr. Nicolas Leger, Florida International University Nicolas L´eger is currently an engineering and computing education Ph.D. student in the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University. He earned a B.S. in Chemical and Biomolecular Engineering from the University of Maryland at College Park in May 2021 and began his Ph.D. studies the following fall semester. His research interests center on numerical and computational methods in STEM education and in Engineering Entrepreneurship.Dr. Stacy S Klein-Gardner, Vanderbilt University Dr. Stacy Klein-Gardner serves as an Adjunct Professor of Biomedical Engineering at Vanderbilt
Paper ID #42715Board 159: Development and Initial Findings of a Summative Assessment forHigh School Engineering Course (Evaluation, Work in Progress)Dr. Jeanette Chipps, The Johns Hopkins University Jeannie Chipps is a research assistant at the IDEALS institute at Johns Hopkins. Her interests are in supporting teachers in their efforts to create learning environments that support diverse learners in STEM.Dr. Stacy S Klein-Gardner, Vanderbilt University Dr. Stacy Klein-Gardner serves as an Adjunct Professor of Biomedical Engineering at Vanderbilt University. She is the co-PI and co-Director of the NSF-funded Engineering for
Paper ID #44419Scaffolding AI Research Projects Increases Self-efficacy of High School Studentsin Learning Neural Networks (Fundamental)S. Shailja, University of California, Santa Barbara Shailja is an incoming post-doctoral fellow at Stanford University. She completed her Ph.D. in the Electrical and Computer Engineering (ECE) Department with interdisciplinary emphasis on College and University teaching at the University of California, Santa Barbara (UCSB) in 2024. She graduated with a bachelor’s degree from the Electrical Engineering Department at the Indian Institute of Technology, Kharagpur in 2016. Shailja has been
. Her current research interests lie at the intersection of human factors and the healthcare field. Prior to beginning her graduate studies, Jacqueline received her Bachelor of Science degree in biomedical engineering from the University at Buffalo, State University of New York.Hannah Larson, University of MichiganHyesun Chung, University of MichiganTisha Jain, University of MichiganMaria FieldsSheryl S Ulin, University of MichiganLeia Stirling, University of MichiganX. Jessie Yang, University of Michigan ©American Society for Engineering Education, 2024ErgoNomiCs and Human-Automation iNteracTion (ENCHANT) Summer Camp(Evaluation)Authors:Jin Yong Kim1, Szu Tung Chen1, Jacqueline Hannan1, Hannah Larson3
. Students establish methodologies for recognizing minerals based on what theyhave learned. From this knowledge, they develop recovery processes motivated by points foreach mineral correctly collected, identified, and accounted for. This can be used as one form ofinsight into the curriculum’s influence on the team’s decision processes and also an indicator ofwhether student learning of science occurred through the use of the structured EDP [30], [32],[33]. The comparison and analysis of the three final days (11,12 and 13) of the curriculumagainst team dialogue is performed.Day 11 Target Group 1 and 2 After preprocessing the conversation for Target Group 1, the result was a 2,824 x20matrix. Target Group 2’s preprocessed conversation produced
student interest and attitudes [17]. Interest in engineering has also been shown toincrease with outreach [18]. Additional work has shown that students participating in anengineering camp were more likely than control students to take STEM courses in high school[19].STEM identity describes the extent to which an individual sees themselves as a “science person”,“math person”, etc. [20]. STEM identity has also been linked to youth enrolling inpost-secondary STEM education [21]. Fit or belonging is also believed to be a factor in gendergaps in STEM enrolment, where explanations based on abilities, interest, and self-efficacy fallshort [22].While we list a number of possible constructs above, it is unclear which one(s) (such as STEMidentity and self
autism spectrum disorders during the transition to adulthood. J. Autism. Dev. Disord. 41 (5), 566–574. doi:10.1007/s10803-010-1070-312. Kouo, J. L., Hogan, A. E., Morton, S., & Gregorio, J. (2021). Supporting students with an autism spectrum disorder in engineering: K-12 and beyond. Journal of Science Education for Students with Disabilities. 24(11).13. Ehsan, H., & Cardella, M. E. (2019). Investigating Children with Autism’s Engagement in Engineering Practices: Problem Scoping (Fundamental). Proceedings of the ASEE Annual Conference & Exposition, 15027–15043.14. Steinbrenner, J. R., Hume, K., Odom, S. L., Morin, K. L., Nowell, S. W., Tomaszewski, B., Szendrey, S., McIntyre, N. S., Yücesoy-Özkan, S., & Savage, M
stakeholders as well as teachers.Keywords: Integrated STEM, STEM education, preservice teachers, perceptionsIntroductionSTEM (science, technology, engineering, and mathematics) integration is a dynamic andinnovative educational strategy (Li et al., 2020). Integrating STEM fields is essential forsolving complex problems in the information age (Chai, 2018). In contrast to the tendency inK-12 education to treat S, T, E, and M as separate disciplines, integrated STEM educationcombines these subjects to represent real-world contexts (Aguirre-Muñoz et al., 2020;Baptista et al., 2023). This student-centered and integrative approach enables students toconfront practical challenges by drawing insights and skills from both STEM and non-STEMfields. For instance
try to minimize the amount of pepper flakes (used to represent pollutant fertilizer) in a cup of water while maximizing the amount of water remaining through the use of planning, collaboration, and two tools.” Build the Best Bridge “We are having students design and build a bridge and having them (Grade 2) look at the problem of building a structure strong enough to hold many pennies.”RQ2: What features are present in their engineering design activities? We utilized Moore et al.’s (2014) FQEE to address the second research question. Inparticular, we focused only on the Processes of Design (POD) and Issues
presented their lunchboxdesign solutions for their final presentation (FP). The presentations were seven minutes in lengthand required students to identify the problem, describe the different thermal regulation systemsin nature (i.e., polar bear, whale blubber, penguins, etc.) they explored for their design solution,which system(s) were incorporated into their design and how they were incorporated.Additionally, students presented their design iterations, including models/images, along withresults and modifications for each design, leading to their final design solution. The presentationswere audio-recorded and transcribed for data analysis.Finally, students completed an engineering survey (pre-post), which comprised 5-point Likert-scale items
, squatting, lifting, turning). The team at the firm is working together to come up withways to change an existing exoskeleton to make it even more helpful to people no matter theirage ability.The team includes a materials and science engineer, a human factors specialist, a clinicalexpert, a mechanical engineer, a computer engineer, and a biomedical engineer.Review each engineering team conversation to answer the following questions: 1. Which team's method seems like it would come up with the best result(s)? Why? 2. What are the pros and cons of each team’s method of solving the main problems and sub-problems? Use the teams' conversations to support your answers. 3. What skills do the engineers on each team have? 4. Which team would
families and educators may serve as a useful approach.Lastly, while participants in this study spanned grade levels, gender, and ethnic social groups,future research may expand upon this sample to include a broader spectrum of demographicbackgrounds.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1759314 (Binghamton University) and Grant No. 1759259 (Indiana University). Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] E. R. Banilower, P. S. Smith, K. A. Malzahn, C. L. Plumley, E. M. Gordon, and M. L. Hayes, Report of the 2018 NSSME
-ended survey responses to further analyize faculty viewsand how they align with quantitative data. These perspectives provide a starting point fordeveloping authentic learning goals for K-12 students.References[1] Mason, C., Twomey, J., Wright, D., & Whitman, L. (2018). Predicting engineering student attrition risk using a probabilistic neural network and comparing results with a backpropagation neural network and logistic regression. Research in Higher Education, 59, 382–400.[2] Uddin, M., & Johnson, K. (2019). Faculty learning from the advisors for students’ retention and persistence to graduation. 2019 Conference for Industry and Education Collaboration[3] Guzey, S. S., Ring-Whalen, E. A
Paper ID #42723Board 157: Design of a Geospatial Skills Camp for Rural Youth (Work inProgress)Dr. Jeanette Chipps, Montana State University Jeanette Chipps is an assistant teaching professor at Montana State University and the educator professional development lead at the Science Math Resource Center.Suzanne G Taylor, Montana State UniversityDr. Nicholas Lux Lux, Montana State University Dr. Nicholas Lux has is an Associate Professor of Curriculum and Instruction in MSUˆa C™s Department ˆ He has of Education. His teaching and
integration of AI tools into STEMpedagogy. This collaborative network among key stakeholders will serve to support equity andaccessibility in education and create a more inclusive learning environment for all futurelearners.AcknowledgmentThis material is based upon work supported by the AI.R-NISTH AI for Social Good ResearchGrant at Nanyang Technological University in Singapore. Any opinions, findings, conclusions,or recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the AI.R program. We would like to acknowledge all the researchers, datacollectors, and students who participated in the study.ReferencesAbulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of
diverse perspectives andfemale role models in STEM (Konowitz et al., 2022). Introducing students to the narratives andaccomplishments of women, minorities, and people from various cultural backgrounds canmotivate and empower underrepresented groups to pursue careers in STEM (Cheryan et al.,2015; Gilberth, 2015). Institutions, including K-12 and higher education, should develop moreinclusive and supportive environments for students interested in STEM. This involves offeringmentorship programs, networking opportunities, professional development for teachers, andresources suited to the needs of different student demographics. Such efforts align with Yeo etal.’s (2024) preliminary work that teachers use verbal and non-verbal cues to facilitate
-based practices, that can specifically be leveraged to broadenaccess and participation in engineering education. References1. Aceves, T. C. and Kennedy, M. J. (Eds.) (2024, February). High-leverage practices for students with disabilities. 2nd edition.2. Anderson, J., Anderson, Z., Beaton, K., Bhandari, S., Bultinck, E., Ching, J., ... & Duerstock, B. S. (2022). Challenges in Inclusiveness for People with Disabilities within STEM Learning and Working Environments.3. Baxter, P., & Jack, S. (2008). Qualitative Case Study Methodology: Study Design and Implementation for Novice Researchers. The Qualitative Report, 13(4), 544-559. https://doi.org/10.46743/2160-3715/2008.15734. Bogdan
efforts to create inclusive classrooms and programming.Dr. Melissa M. Bilec, University of Pittsburgh Dr. Bilec is an associate professor in the Swanson School of Engineeringˆa C™s Department of Civil and Environmental Engineering. Dr. Bilecˆa C™s research program focuses on the built environment, life cycle assessment, sustainable healthcare, and energy im ©American Society for Engineering Education, 2024 A Collaborative Virtual Air Quality Learning Experience with Kakenya’s Dream (Resource Exchange, Diversity) The curriculum we developed for this collaborative project focused on introducing thestudents and instructors to the importance of air quality (AQ), its impacts on
EXCHANGE it w hDr. Rachelle Pedersen Texas A&M UniversityDr. Justin Wilkerson wilkerson@tamu.eduLESSON DESCRIPTIONThis lesson is a mix of demonstrations and inquiry experiences intended to guide students throughconcepts of energy transformations (e.g., kinetic, elastic) and engineering concepts of snap-throughtransitions in both the natural and engineered world. Students will develop foundational understandingsof energy conservation with a simple ball bouncing demonstration and build to more complex conceptsof spring/elastic energy using the classic 90’s rubber popper toys to investigate the energytransformations in the system. Depending on the age of the students, we will extend this lesson
Number [EEC-1849430 & EEC-2120746]. Any opinions, findings andconclusions, or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect those of the NSF. The authors acknowledge the support of the entire e4usaproject team.References[1] “The Standards | Next Generation Science Standards.” Accessed: Feb. 07, 2024. [Online]. Available: https://www.nextgenscience.org/standards[2] “Employment in STEM occupations : U.S. Bureau of Labor Statistics.” Accessed: Feb. 07, 2024. [Online]. Available: https://www.bls.gov/emp/tables/stem-employment.htm[3] “Motivational factors predicting STEM and engineering career intentions for high school students | IEEE Conference Publication | IEEE Xplore
effects of a biomimicry teaching approach on students’designs. The authors found that students’ designs were not only inspired by nature, but they alsoconsidered the functions behind the physical structure of the organism in their designs. Abaid et al. [21]discovered that students had more favorable perceptions of engineering after engaging in a BID activity.In Abaid et al.’s [21] study, participating students were tasked with creating the most efficientswimming robots based on various types of fish fins and testing different robot designs. As documentedin the literature, BID integration in pre-college education can inspire innovative design solutions,heighten students’ views about nature, and foster STEM engagement and understanding of
discipline, and two tables in Appendix C reportedthe results by item. Understanding of CS and CmpE was relatively high on the pretest.Understanding of IT was initially relatively low (44%) and almost doubled (81%) on the post. Table 1. Pre and Post Test of Participants’ Perceptions of Computing Skills by Discipline Discipline(s) Items Pre Post Change Computer Science 5 80% 80% +0% Computer Engineering 4 85% 98% +13% Information Technology 7 44% 81% +37% Information Technology and Computer Science 3 93
school students participated in a week-long summer camp thatfocused on electrical and computer engineering (ECE) concepts and practices. The five-daysummer camp consisted of hands-on activities, tours of different laboratories in ECE disciplines,and a group project that spanned the whole week where students built circuits using theSparkFun Inventor’s kit. During the group activity, the students were organized into eightgroups, and each group was mentored by an undergraduate mentor who facilitated thecollaborative hands-on activities. The middle school students completed validated and reliablepre and post-surveys adapted from the Student Attitudes Toward STEM (S-STEM) Survey andthe Group Work Skills Questionnaire Manual. The S-STEM survey is
reported no difference between the pre- and post-test survey, a0 was given for that question. If a student reported a negative difference between the pre- andpost-test survey, a -1 was given for that question. The tallies were added up and a positive sumcorresponded to a positive progression, a sum of 0 corresponded to no progression, a negativesum corresponded to a negative progression. More formally: s = student c = construct Q(c, s)ij = numerically scaled Likert response matrix for each student and construct n(c) = number of questions in a constructFor each student in a construct, a score is calculated through Eq. 1 as: n
completion of a full cross-case analysis of all sixcase-studies which include primary (elementary) and secondary education contexts.AcknowledgementsWe are deeply grateful to our case-study coaches and students for sharing their time andexperience with us.References[1] For Inspiration and Recognition of Science and Technology (FIRST), "FIRST annual impact report: More than robots," 2022. [Online]. Available: https://firstinspiresst01.blob.core.windows.net/annual-report/annual-report/first-fy22-annual- impact-report.pdf[2] S. Evripidou, K. Georgiou, L. Doitsidis, A. A. Amanatiadis, Z. Zinonos, and S. A. Chatzichristofis, "Educational robotics: Platforms, competitions and expected learning outcomes," IEEE Access, vol
Contact: What Can It Henry Debord: h-debord@onu.edu Do? Dr. Coffman-Wolph: CONTROL STUDENT s-coffman-wolph@onu.edu PROGRAMMED GAMES CONTROL DIGITAL TO Dr. Ammar: PHYSICAL DEVICES a-ammar@onu.edu PRACTICE SOLDERING
Paper ID #44407Lighting a Pathway to Energy Transitions: Collecting, Interpreting and SharingEngineering Designs and Research Data Across a School-based AgrivoltaicsCitizen Science Network (Pre-College Resource/Curriculum Exchange)Dr. Michelle Jordan, Arizona State University Michelle Jordan is as associate professor in the Mary Lou Fulton Teachers College at Arizona State University. She also serves as the Education Director for the QESST Engineering Research Center. Michelleˆa C™s program of research focuses on social interactMs. Katie Spreitzer, Arizona State UniversitySarah Bendok ©American Society for
[Contract No. SA-22036.001].References[1] The White House, “FACT SHEET: CHIPS and Science Act Will Lower Costs, Create Jobs, Strengthen Supply Chains, and Counter China,” The White House. Accessed: Jan. 24, 2024. [Online]. Available: https://www.whitehouse.gov/briefing-room/statements- releases/2022/08/09/fact-sheet-chips-and-science-act-will-lower-costs-create-jobs- strengthen-supply-chains-and-counter-china/[2] P. S. Smith, “Obstacles to and progress toward the vision of the NGSS,” Horizon Res. Inc., Mar. 2020. Accessed: Mar. 1, 2024. [Online]. Available: https://horizon- research.com/NSSME/wp-content/uploads/2020/04/NGSS-Obstacles-and-Progress.pdf[3] R. Powers and W. Blubaugh, “Technology in