(S < 29) 31 (~57%) Neglected (29 <= S < 31) 12 (~22%) Reversed (31 <= S) 11 (~20%)The results above suggest that, for practicing engineers making decisions with data presented intabular form, targeting the consequences of variability is relatively difficult: Whereasengineering students readily targeted variability in scenarios with “everyday” variability (>90%of individuals targeted), in this pilot only ~57% of participants targeted variability correctly. It ispossible that the ~20% of participants with “reversed” responses were attempting to targetvariability, and that in a more deliberate setting (i.e., in the workplace), they would have
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
the NationalScience Foundation.References[1] D. F. Lohman, “Spatial Ability and G.” 1993.[2] K. S. McGrew, “CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research,” Intelligence, vol. 37, no. 1, pp. 1–10, Jan. 2009, doi: 10.1016/j.intell.2008.08.004.[3] H. B. Yilmaz, “On the Development and Measurement of Spatial Ability,” International Electronic Journal of Elementary Education, vol. 1, no. 2, pp. 83–96, Mar. 2009.[4] C. Julià and J. Ò. Antolì, “Enhancing Spatial Ability and Mechanical Reasoning through a STEM Course,” International Journal of Technology and Design Education, vol. 28, no. 4, pp. 957–983, Dec. 2018.[5] M. Stieff and D. Uttal, “How
are based on a201 student sample from Engineering Technology Division at Wayne State University. It would be202 interesting to further validate the effectiveness of BIM education for improving students’203 communication skills in other engineering disciplines, programs, or institutions.204205 References206 [1] S. Bhattacharya and G. Pant, “Digital transformation in AECO industry: impending207 dilemma in the Indian context,” J. Organ. Change Manag., 2023.208 [2] B. Bradley, “Global BIM Survey: U.S. market is maturing as advances wake imaginations.”209 Accessed: Feb. 03, 2024. [Online]. Available: https://agacad.com/blog/global-bim-survey-u-210 s-market-is-maturing-as-advances-wake-imaginations211 [3] J. Du, D
-making andconflict management practices thereby enhancing productivity. In addition, support systems forinclusivity and accountability such as the responsibility matrix, team building ice breakers oractivities, and action items trackers facilitated trust management and relationship building [24].Furthermore, team management artefacts such as project schedule(s), task list(s), meeting notes,procurement and budget tracker(s) supported students’ efficient time management practices.While the project schedule facilitated planning of design project activities, the task listsfacilitated work transparency; meeting notes enabled progress tracking of tasks, and theprocurement tracker allowed for cost transparency of design project purchases. The
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
culturewith a focus on better supporting traditionally underrepresented students. Subsequent researchwill explore how student participation in these types of engagement activities correlate to thedevelopment of an inclusive makerspace and engineering education culture.Acknowledgement – This material is based upon work supported by the National ScienceFoundation S-STEM program under Grant No. 1834139. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] M. Galaleldin, F. Bouchard, H. Anis and C. Lague, "The impact of makerspaces on engineering education," in Proceedings of the Canadian Engineering
Paper ID #41087Board 406: The Transformation of a Mathematics DepartmentProf. Tuncay Aktosun, The University of Texas at Arlington Dr. Aktosun is a professor of mathematics at the University of Texas at Arlington. His research area is applied mathematics and differential equations with research interests in scattering and spectral theory, inverse problems, wave propagation, and integrable evolution equations. He is involved in various mentoring and scholarship programs benefiting students. He was the GAANN Fellowship Director in his department during 2006-2022, he has been the NSF S-STEM Scholarship Director in his
. Bilec, A. Dukes, A. Nave, A. Landis, and K. Parrish, “Developing and Sustaining Inclusive Engineering Learning Communities and Classrooms.” In 2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022.[3] D. T. Rover, M. Mina, A. R. Herron-Martinez, S. L. Rodriguez, M. L. Espino, and B. D. Le, “Improving the Student Experience to Broaden Participation in Electrical, Computer and Software Engineering,” in 2020 IEEE Frontiers in Education Conference (FIE), 2020, pp. 1–7.[4] L. Long and J. A. Mejia, “Conversations about Diversity: Institutional Barriers for Underrepresented Engineering Students,” J. Eng., vol. 105, no. 2, 2016.[5] M. E. Matters, C. B. Zoltowski, A. O. Brightman, and P. M. Buzzanell
MSIPP DE-NA0003980.The authors are thankful to the support of the DOE/NNSA program manager and the colleaguesat participating universities and national labs. Special thanks to Dr. Stephen Egarievwe atMorgan State University for his constant support and collaboration.References 1. J. Kennedy, P. Abichandani and A. Fontecchio, “An initial comparison of the learning propensities of 10 through 12 students for data analytics education,” IEE Frontiers in Ed- ucation Conference, Oklahoma City, OK, pp. 916-918, 2013. 2. Hirsch, D. D. (2013). The glass house effect: Big Data, the new oil, and the power of analogy. Me. L. Rev., 66, 373. 3. Iqbal, R., Doctor, F., More, B., Mahmud, S., & Yousuf, U. (2020). Big data analytics
tuition and other funding purposes, studentsenrolled in the 3+2 Program are treated as undergraduate students, and thus they are eligible forfunding as they work on multiyear projects with undergraduate students.Note that the project described here does not entirely fit the VIP Program definition from the VIPConsortium [15]. Namely, students may take research credits which are graded S/U. If they takethese credits as Independent Study, then they are graded A-F. Also, Senior Seminar is graded S/Uwhile Senior Design Project is graded A-F. So, there is a mix of grading types that was agreedupon by the program faculty.Moreover, stipends to fund participating students are secured through grants. About $2000 perstudent team for a senior design project
up disproportionate space 6 (0.42%) *Not coded as either inclusive or 967 (68.39%) marginalizing Inclusive Moves(1) Encouraging sharing. One way students increased the participation of other students was by encouraging sharing, which we define as proactively putting out an open-ended call for others’ input. To be coded as an encouraging sharing move, a student’s utterance had to go beyond simply asking for affirmation or refutation of an idea they themselves had stated. For example, when working on a problem about a firefighting hose, S made an encouraging sharing move when they put out a call for a peer’s idea: S: Yeah. What do you think Abe? What should we do?(2) Acknowledging
forTeaching and Learning Ordinary Differential Equations: A Systemic Literature Review andBibliometric Analysis,” Mathematics, vol. 9, no. 7, p. 745, Mar. 2021, doi:https://doi.org/10.3390/math9070745.[5] S. Arslan, “Do students really understand what an ordinary differential equationis?,” International Journal of Mathematical Education in Science and Technology, vol. 41, no. 7,pp. 873–888, Oct. 2010, doi: https://doi.org/10.1080/0020739x.2010.486448.[6] C. L. Rasmussen and K. D. King, “Locating starting points in differential equations: arealistic mathematics education approach,” International Journal of Mathematical Education inScience and Technology, vol. 31, no. 2, pp. 161–172, Mar. 2000, doi:https://doi.org/10.1080/002073900287219.[7] C. L
to student success in engineering education,” EuropeanJournal of Engineering Education, vol. 42, no. 4, pp. 368–381, 2017.[5] M. Scheidt, A. Godwin, E. Berger, J. Chen, B. P. Self, J. M. Widmann, and A. Q. Gates,“Engineering students’ noncognitive and affective factors: Group differences from clusteranalysis,” Journal of Engineering Education, vol. 110, no. 2, pp. 343–370, 2021.[6] S.-M. R. Ting and R. Man, “Predicting academic success of first-year engineeringstudents from standardized test scores and psychosocial variables,” International Journal ofEngineering Education, vol. 17, no. 1, pp. 75–80, 2001.[7] B. F. French, J. C. Immekus, and W. C. Oakes, “An examination of indicators ofengineering students’ success and persistence
layout of conducive learning environment, foster community the study space engagement, and establish a smooth educational transition between high school and college.Internal budget analyses indicate that [University] will 1 5 $2 is too small to beneed to raise undergraduate tuition by $2 to fund the consideredstudy space maintenance.[University]’s preferred furniture supplier says that 1 5 Limited impact ondesks and chairs for the study space are on 6-month the physical layout ofbackorder. the study spaceStudent organizations, including sororities and 4 3 Student
prep weeks. Week 4's preparationconsisted of Paige and Gabby splitting up the work of creating a new set of slides and theirinstructor notes. Like the prior weeks, the expectation was to use AUT 2020's slides but not evenwatching the Zoom recording for AUT 2020's Data Visualization lecture helped the team feelconfident in delivering the content. The data does not provide information as to why the videowas unhelpful. As a result, Paige and Gabby did research on the topic to understand datavisualization (data type/measurement scale, nominal/ordinal/quantitative, etc.). This led to Paigeand Gabby updating the visualization examples using postcards from previous students. All threeeducators acknowledged the amount of work required for week 4 and
Paper ID #43077Board 188: A Legacy of Success: The High Achievers in STEMDr. Rahman Tashakkori, Appalachian State University Rahman Tashakkori received his PhD in Computer Science from Louisiana State University in 2001. He serves as the Lowe’s Distinguished Professor of CS and director for LSAMP and S-STEM programs at Appalachian State University.Dr. Jennifer R. McGee, Appalachian State UniversityDr. Cindy Norris, Appalachian State University ©American Society for Engineering Education, 2024 A Legacy of Success: The High Achievers in STEM Abstract - There are well-known and widespread
’ Understanding of Electromagnetism,” Int. J. Sci. Educ., vol. 28, no. 5, pp. 543–566, Apr. 2006, doi: 10.1080/09500690500339613. [3] B. T. Christensen and C. D. Schunn, “The role and impact of mental simulation in design,” Appl. Cogn. Psychol., vol. 23, no. 3, pp. 327–344, Apr. 2009, doi: 10.1002/acp.1464. [4] Learning to Think Spatially: GIS as a Support System in the K-12 Curriculum. Washington, D.C.: National Academies Press, 2006, p. 11019. doi: 10.17226/11019. [5] N. S. Newcombe and T. F. Shipley, “Thinking About Spatial Thinking: New Typology, New Assessments,” in Studying Visual and Spatial Reasoning for Design Creativity, J. S. Gero, Ed., Dordrecht: Springer Netherlands, 2015, pp. 179–192. doi: 10.1007/978-94-017-9297
program. {problem_description} Buggy Program: ```{buggy_program} ``` Can you fix the above buggy program?” Instructors may find theseprompts useful to share with students to model using LLMs responsibly.Moving away from programming, Arndt [38] delves into the application of LLMs in explainingconcepts from system thinking and system dynamics, in addition to creating visualizations suchas causal loop diagrams (a model showing causal relationships between variables with +'s and –'sto denote the direction of the relationship). Leveraging the ability of tools like ChatGPT to writescripts in Python (and other languages), it was found that creating such visualizations waspossible by running the output outside of the LLM's interface – albeit with
components ofspatial ability which may aid in the creation of more complete training.AcknowledgementsThis material is based upon work supported by the U.S. National Science Foundation underGrant No. 1712887. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] K. S. McGrew, “CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research,” Intelligence, vol. 37, no. 1, pp. 1–10, Jan. 2009, doi: 10.1016/j.intell.2008.08.004.[2] D. F. Lohman, “Spatial Ability and G.” 1993.[3] A. Ramful, T. Lowrie, and T. Logan, “Measurement of Spatial
4 shows the snippet ofkeywords extracted from a document [21], along with their score (S). Score (S) is based onkeyword features (term casing, term position, term frequency normalization, term relatedness tocontext, term different sentence) and is computed by the YAKE! Algorithm [31]. Lower the valueof S, the more significant the keyword [31].Third. To eliminate similar keywords, we employed a de-duplication process based on similarityalgorithms such as Levenshtein similarity [35], Jaro-Winkler [36], and Hamming Distance[37, 38, 39]. We used Levenshtein similarity because it works on the principle of the minimumnumber of single-character edits required to change one word into the other [38].For example, take a group of similar keywords like
highlighted the need for a more consistent SDL assessment inengineering education. Of the SDL assessment scales discussed, Cadorin et al.’s [21] SRSSDLwas considered suitable for the validity current study for two reasons. First, its items alignedwith the skills to be examined in engineering students as part of a larger study that explores theimpact of metacognitive learning strategies on their self-directed learning. Second, it had beenwidely used in nursing education and its validity has been confirmed in related disciplines [48,60]. Examining the SRSSDL’s validity in a different setting- engineering education, wasnecessary to ascertain its suitability for the SDL assessment of engineering students.III. MethodsA. Instrument DesignCadorin et
experiences of HSCC students.References[1] S. Lunn, M. Ross, Z. Hazari, M. A. Weiss, M. Georgiopoulos, and K. Christensen, “How Do Educational Experiences Predict Computing Identity?,” ACM Trans. Comput. Educ., vol. 22, no. 2, p. 12:1-12:28, Nov. 2021, doi: 10.1145/3470653.[2] S. Rodriguez, C. Lu, and D. Ramirez, Eds., “Creating a Conceptual Framework for Computing Identity Development for Latina Undergraduate Students,” in An Asset-Based Approach to Advancing Latina Students in STEM: Increasing Resilience, Participation, and Success, 1st ed., New York, NY : Routledge, 2021. | Series: Routledge research in STEM education: Routledge, 2020. doi: 10.4324/9781003002758.[3] G. A. Garcia, A.-M. Núñez, and V. A. Sansone, “Toward a
lessons, activities, assessment, outreach, andpedagogical practices. It will enable instructors to teach students in their courses and assignresearch projects. We envision that virtual learning will continue to be in high demand. In thefuture, the FossilSketch can be implemented across the nation in undergraduate science, biology,and paleontology classes. This application has great potential to be developed into an onlineversion of the course (MOOC).1 AcknowledgementsThis work was supported by the National Science Foundation under Grant “Improvingundergraduate student critical thinking and ability to solve environmental problems with fossilrecords through FossilSketch application” #2337105.References[1] A. Stepanova, C. Belanger, S. Anwar, C
processes around EBIP-implementation. We hope that this model will facilitate moreeffective mentoring and training programs.References[1] A. Brooks, K. Heath, S. Brown, H. Dominguez, P. Shekhar, and J. Knowles, “One Size Does Not Fit All: Understanding how Faculty Implement Evidence-Based Instructional Practices in Their Engineering Courses,” presented at the IEEE Frontiers in Education (FIE), IEEE, 2022.[2] A. Brooks, J. Knowles, E. Clement, S. Prateek, and S. Brown, “Are All ‘EBIPs’ Created Equal? An Exploration of Engineering Faculty Adoption of Nine Evidence-Based Instructional Practices,” ASEE Annu. Conf. Expo., 2023[3] J. Knowles, A. Brooks, E. Clement, P. Shekhar, S. Brown, and M. Aljabery, “A Qualitative Exploration of
Press.Blacklock, J., Johnson, K., Cook, R., Plata, N., & Claussen, S. (2021, July). Faculty interpretations of sociotechnical thinking in their classrooms: Techniques for integration. In ASEE Annual Conference proceedings.Bourdieu, P., & Passeron, J. C. (1990). Reproduction in education, society and culture (Vol. 4). Sage.Bowles, S., & Gintis, H. (1976). Schooling in capitalist America: Educational reform and the contradictions of economic life. New York, NY: Basic Books.Bronfenbrenner, K. (2023, December 4). For labor unions, 2023 was the year of the strike—and big victories. The Wall Street Journal.Cech, E. A. (2014). Culture of disengagement in engineering education?. Science, Technology, & Human
specificity without the formalized structure required by asystematic review (Arksey & O’Malley, 2005; Borrego et al., 2014; Grant & Booth, 2009;Samnani et al., 2017). ScLRs are particularly useful for quickly mapping out key concepts,existing literature, and evidence to identify gaps in current research defined by a specificresearch question (Arksey & O’Malley, 2005; Samnani et al., 2017). Our study used Arksey andO’Malley’s (2005) ScLR framework (Figure 1), which recommends a five-stage protocol forconducting a scoping review: (1) identify research question(s), (2) identify relevant studies, (3)select relevant studies, (4) chart the data, and (5) summarize and report the results. Figure 1further details the process used in our
. Mumford, S. J. Zaccaro, K. Y. Levin, A. L. Korotkin, and M. B. Hein, “Taxonomic efforts in the description of leader behavior: A synthesis and functional interpretation,” The Leadership Quarterly, vol. 2, no. 4, pp. 245-287, 1991, doi: 10.1016/1048-9843(91)90016-U.[3] F. J. Yammarino, E. Salas, A. Serban, K. Shirreffs, and M. L. Shuffler, “Collectivistic leadership approaches: putting the ‘we’ in leadership science and practice,” Industrial and Organizational Psychology, vol. 5, no. 4, pp. 382-402, 2012, doi: 10.1111/j.1754- 9434.2012.01467.x.[4] D. V. Day, P. Gronn, and E. Salas, “Leadership capacity in teams,” The Leadership Quarterly, vol. 15, no. 6, pp. 857-880, 2004, doi: 10.1016/j.leaqua
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