. Differ., vol. 103, p. 102274, Apr. 2023, doi: 10.1016/j.lindif.2023.102274.[2] A. Goslen, Y. J. Kim, J. Rowe, and J. Lester, “LLM-Based student plan generation for adaptive scaffolding in game-based learning environments,” Int. J. Artif. Intell. Educ., Jul. 2024, doi: 10.1007/s40593-024-00421-1.[3] M. M. Rashid et al., “Humanizing AI in Education: A Readability Comparison of LLM and Human-Created Educational Content,” Proc. Hum. Factors Ergon. Soc. Annu. Meet., vol. 68, no. 1, pp. 596–603, Sep. 2024, doi: 10.1177/10711813241261689.[4] S. Avogadri and D. Russo, “On opportunities and challenges of large language models and gpt for problem solving and TRIZ education,” in World Conference of AI-Powered Innovation and
will enable students to visually exploreand interact with muscle segmentation processes, including keypoint selection, boundarytracking, and 3D reconstruction. This hands-on approach aims to foster a deeper, more intuitiveunderstanding of the algorithm’s functionality and its practical application in real-world medicalimaging scenarios.AcknowledgmentThis project was funded in part by the Northeastern TIER 1 seed grant.References [1] J. Zhu, B. Bolsterlee, B. V. Chow, C. Cai, R. D. Herbert, Y. Song, and E. Meijering, “Deep learning methods for automatic segmentation of lower leg muscles and bones from mri scans of children with and without cerebral palsy,” NMR in Biomedicine, vol. 34, no. 12, p. e4609, 2021. [2] R. Ni, C. H. Meyer, S. S
, 2012.[5] S. Emmott and S. Rison, “Towards 2020 science,” Science in Parliament, vol. 65, no. 4, pp. 31– 33, 2008.[6] “Criteria for Accrediting Engineering Programs, 2025 - 2026 - ABET.” Accessed: Jan. 14, 2025. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for- accrediting-engineering-programs-2025-2026/[7] E. Riese and S. Stenbom, “Engineering Students’ Experiences of Assessment in Introductory Computer Science Courses,” IEEE Transactions on Education, vol. 66, no. 4, pp. 350–359, 2023.[8] A. Forte and M. Guzdial, “Motivation and nonmajors in computer science: identifying discrete audiences for introductory courses,” IEEE Transactions on Education, vol. 48, no
elementary school,” Sch. Sci. Math., vol. 119, no. 4, pp. 203–212, Apr. 2019, doi: 10.1111/ssm.12332.[8] P. Paugh, K. Wendell, and C. Wright, “Elementary Engineering as a Synergistic Site for Disciplinary and Linguistic Learning in an Urban Classroom,” Lit. Res. Theory Method Pract., vol. 67, no. 1, pp. 261–278, Nov. 2018, doi: 10.1177/2381336918786937.[9] S. Purzer and J. P. Quintana-Cifuentes, “Integrating engineering in K-12 science education: spelling out the pedagogical, epistemological, and methodological arguments,” Discip. Interdiscip. Sci. Educ. Res., vol. 1, no. 1, p. 13, Dec. 2019, doi: 10.1186/s43031-019-0010-0.[10]B. M. Capobianco, J. Radloff, and J. Clingerman, “Facilitating Preservice Elementary Science Teachers
. 3REFERENCESBailey, S. F., Jenkins, J. S., & Barber, L. K. (2016). Students’ Reactions to Course Policy Decisions. Teaching of Psychology, 43(1), 22–31. https://doi.org/10.1177/0098628315620065Credé, M., Roch, S. G., & Kieszczynka, U. M. (2010). Class Attendance in College: A Meta- Analytic Review of the Relationship of Class Attendance With Grades and Student Characteristics. Review of Educational Research, 80(2), 272–295. https://doi.org/10.3102/0034654310362998Creswell, J. W., & Poth, C. N. (2023). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (5th ed.). SAGE Publication,Inc.Kipp, A. L., & Clark, J. S. (2022). Student absenteeism and
List[1] T. Swartz, A. Palermo, S. Masur, J. Aberg, “The Science and Value of Diversity: Closing the Gaps in Our Understanding of Inclusion and Diversity,” The Journal of Infectious Diseases, vol. 220, Issue Supplement_2, pp. S33–S41, Sep 2019. https://doi.org/10.1093/infdis/jiz174[2] M. Haddad, T. Jenkins, B. Solivan, A. Williams, “Enhancing Diversity in STEMM,” in Frontiers in Education, Lincoln, Nebraska, vol. 6, 2021. https://www.frontiersin.org/articles/10.3389/feduc.2021.755758 DOI=10.3389/feduc.2021.755758.[3] Whitehouse, “Best Practices for Diversity and Inclusion in STEM Education and Research: A Guide by and for Federal Agencies,” Biden White House Archives. Accessed: Mar. 22
Center for EducationResearch. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of these institutions. References[1] T. J. Moore, A. C. Johnston, and A. W. Glancy, “STEM Integration,” in Handbook of Research on STEM Education, 1st ed., C. C. Johnson, M. J. Mohr-Schroeder, T. J. Moore, and L. D. English, Eds., New York: Routledge, 2020, pp. 3–16. doi: 10.4324/9780429021381-2.[2] K. E. Dugan, E. A. Mosyjowski, S. R. Daly, and L. R. Lattuca, “Systems thinking assessments in engineering: A systematic literature review,” Syst Res Behav Sci, vol. 39, no. 4, pp. 840–866, Jul. 2022, doi: 10.1002/sres
rates of targeting. This result suggests that specific training may be necessary forengineers to successfully target variability in more complex scenarios.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2138463.References[1] K. Hadley and W. Oyetunji, “Extending the Theoretical Framework of Numeracy to Engineers,” J. Eng. Educ., vol. 111, no. 2, pp. 376–399, Apr. 2022, doi: 10.1002/jee.20453.[2] K. Vo, A. Evans, S. Madan, and Z. del Rosario, “A Scoping Review of Engineering Textbooks to Quantify the Teaching of Uncertainty,” in ASEE Annual Conference and Exposition, 2023.[3] D. Bose, M. Segui-Gomez, ScD, and J. R. Crandall, “Vulnerability of Female Drivers Involved in
that I think makes ethical could belong on. Thinking about consequence, many engineering education so difficult because whether the phrasing can really researchers encounter ethical you're in a course, and they're distinguish the system-level issues that involve industrial telling you, no, here's an thinking and/or institutional-level partners or potential patents. example. You do this thing, but thinking that is behind some of it's really, it's really everywhere. these. Identifying None of the categories really These critical inciden[t]s, can I really
://www.shrm.org/topics-tools/news/employee- relations/employers-say-students-arent-learning-soft-skills-college[4] “Workplace Conflict Statistics 2024 | Pollack Peacebuilding.” Accessed: Jan. 05, 2025. [Online]. Available: https://pollackpeacebuilding.com/workplace-conflict-statistics/[5] P. Bahrami, Y. Kim, A. Jaiswal, D. Patel, S. Aggrawal, and A. J. Magana, “Information Technology Undergraduate Students’ Intercultural Value Orientations and Their Beliefs about the Influence of Such Orientations on Teamwork Interactions,” Trends High. Educ., vol. 2, no. 2, Art. no. 2, Jun. 2023, doi: 10.3390/higheredu2020014.[6] I. Hensista, S. Guddeti, D. A. Patel, S. Aggrawal, G. Nanda, and A. J. Magana, “Transformative Pedagogy as a
could supplement the mentoring experience giving mentees a broader range of expertise and access.3. Create a structure of incentives and recognition for both mentees and mentors such as certificates of completion, awards for active engagement, or sharing success stories. This may especially help to encourage mentee participation.References:[1] Howland Cummings, M., & Schupbach, W. T., & Altman, T., & Jacobson, M. S., &Goodman, K., & Darbeheshti, M., “Making Meaning through Mentorship: A Student-LedLayered Peer Mentorship Program,” Paper presented at 2023 ASEE Annual Conference &Exposition, Baltimore, Maryland, 2023, June.[2] Simon, G. E., & Darbeheshti, M., & Howland Cummings, M., & Schupbach, W. T
–47, 2011.[3] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, Engagement, and Migration in Engineering Programs.,” J. Eng. Educ., vol. 97, no. 3, pp. 259–278, 2008, doi: https://doi.org/10.1002/j.2168- 9830.2008.tb00978.x.[4] A. Viningrad, R. Goldsmith, and Y. Vorgan, “Engineering education in the higher education system and the workforce demand for engineers in Israel,” 2022.[5] I. Central Beauru of Statistics, “Students who completed their studies for a first degree among those who began studying in 2009 / 10 ( follow-up until 2017 ), by duration of study for a degree in,” vol. 10, p. 2017, 2017.[6] Y. Melzer and A. Kimhi, “Employment in
accelerated summer format.Second, it was found that success relied heavily on preparation, structure, and accountability.Participants noted that elements such as the consistent schedule, regular weekly and bi-weeklymeetings (held on the same day and time), milestones, and learning activities were instrumentalin ensuring a paper was drafted by the conclusion of the cohort session. Third, of the six toolsused in the SoTL Accelerator program (https://www.sotlaccelerator.com/), faculty participantsfound three tools particularly helpful. • Peer Feedback Tuning Protocol (https://www.sotlaccelerator.com/s/Tool-2-Peer-Feedback- Tuning-Protocol.pdf) • Assessment of Student Learning (https://www.sotlaccelerator.com/s/Tool-3-Assessment- of
’ opinions were collected using a survey approved by theuniversity ethics review board. 47 out of 72 students participated voluntarily in the study, whichwas completely blind to the instructor. Three example projects are explained, and outcomes arepresented.XR educational content development: Documents, videos, and training sessions were prepared toteach students how to translate their final designs from SolidWorks to other platforms that can beused for virtual reality (VR), augmented reality (AR), and mixed reality (MR). XRdemonstration and rubric: The XR demonstration was designed as a team assignment in whichstudents were required to demonstrate the function(s) of their final design concept using an XR-developed prototype/environment.An extended
focuson training a unified model to combine head pose, emotion, and transcript data for feedback,enhancing the system’s generalization and impact. Additionally, more modalities such as voicemodulation and tone will be incorporated.References[1] S. Schneider, F. Krieglstein, M. Beege and G. D. Rey, "The impact of video lecturers’ nonverbal communication on learning – An experiment on gestures and facial expressions of pedagogical agents," vol. 176, p. 104350, 1 January 2022.[2] N. Aburumman, M. Gillies, J. A. Ward and A. F. d. C. Hamilton, "Nonverbal communication in virtual reality: Nodding as a social signal in virtual interactions," vol. 164, p. 102819, 2022.[3] R. Buck and C. A. VanLear, "Verbal and Nonverbal Communication
from the engineering educators’ surveys,quantitative methods. 1. Next, students’ survey responses will be linked and compared to the responses of the educators whose summer engineering course(s) they took. 2. Descriptive statistics and qualitative findings will be aggregated to determine if trends and/or correlations are present between educators’ self-determination in the context of teaching and their work environments and students’ performance and learning experiences within the educator’s class. 3. The data analyses will be followed by a deeper dive toward interpreting and discussing how the results, along with the guiding framework, may serve as a foundation for creating intentional strategies and
continue to collect survey data from electrical engineering students(sophomore to senior) and study how the feature rankings change after students go through in-class or Canvas interventions with mini-courses on acquiring better study habits founded uponthe theory of action-state orientation. Our next hypothesis will focus on whether low GPAstudents’ survey responses become more robust predictors of their academic success (asindicated by SHAP summary plots) as they go through such trainings.References Bakoban, R., & Aljarallah, S. (2015). Extracurricular Activities and Their Effect on the Student's Grade Point Average: Statistical Study. Educational Research and Reviews, 10(20), 2737-2744. Borup, D., Christensen, B. J., Mühlbach
Engineering. At the beginning and endof the semester, students were invited to participate in the research study and given surveyswhere they identified their gender identity, race, and whether or not they identified asneurodivergent (ND). If the students answered either Yes or Maybe ND, they were given theoption to list which type(s) of ND they identified with. Within the course, 41 studentsparticipated in the pre and/or post-survey (91% responded; only 35 completed both surveys).Only the 7 teams where every participant consented to participate were examined in the research(out of a total of 11 teams).A key activity in the course designed to foster innovation skills was a 10-week long open-ended,team-based project to design an activity for K-12
feasible and scalable. She achieves this by providing educators with essential opportunities for professional development, notably through the organization of conferences and symposia. Additionally, Dr. Lim is an active member of various working and advisory groups, where she contributes her expertise to areas such as innovation, e-Portfolio, artificial intelligence, and SCI-ENG first year students experience.Sumiko Iida, UNSW Sydney Sumiko Iida is a Senior Lecturer at UNSW Sydney, Australia. She teaches general Japanese language courses, Japanese Popular Culture (in English), and an advanced Japanese language course using manga and anime (in Japanese). Her research with William S. Armour focuses on the impact of
; Sassi, K. (2019) justice: Creating culturally relevant, collective, Narrative Against intergenerational, co-created spaces Deficit PerspectivesOnwuachi-Robinson, S. (2023) Exploring the Implementation of Culturally Relevant Pedagogy to Support Black Male Middle School Students’ Success in MathWu, Y. L. (2016) Applying Culturally Responsive Pedagogy to the Vocational Training of Immigrants.Kim, H. J. (2024
catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness, 15th anniversary ed. in Full catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness, 15th anniversary ed. New York, NY, US: Delta Trade Paperback/Bantam Dell, 2005, pp. xxxiii, 471.[10] A. Martin-Erro, M. Dominguez Somonte, and M. D. M. Espinosa Escudero, “The Role of Sketching in Engineering Design and its Presence on Engineering Education,” presented at the International Technology, Education and Development Conference, Valencia, Spain, Mar. 2016, pp. 3465–3471. doi: 10.21125/inted.2016.1822.[11] C. Xuemei, N. Binti Hashim, and S. Binti Kamarudin, “Situational Theory of Problem Solving (STOPS): A
. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational psychologist, 49(4), 219-243. https://doi.org/10.1080/00461520.2014.965823[3] Crawley, E., Malmqvist, J., Ostlund, S., Brodeur, D., & Edstrom, K. (2007). Rethinking engineering education. The CDIO approach, 302(2), 60-62.[4] Curtis, H., Gartner, J., Dutta, P., Adesope, O., Van Wie, B., & Watson, C. (2022, August). Teacher Impact on Student Learning Using LC-DLM Implementations in the Classroom. In 2022 ASEE Annual Conference & Exposition[5] Durak, Z. E., Thiessen, D. B., Ajeigbe, O. J., Adesope, O. O., & Van Wie, B. J. (2025). Hands-on fluidized bed classroom implementation and assessment
prompt. They are noted as STQuiz vs. LTQuiz (30 vs. 60 users), STP lan vs.LTP lan (35 vs. 3 users), and STRef lect vs. LTRef lect (26 vs. 6 users). The user data regarding theevaluation prompt feature is dropped for the analysis due to its small sample size (see Section 5.2for details).LT s and ST s are compared with respect to four different measures: midterm 1 and 2 scores,first-try correctness, the number of unique quiz questions solved for each week, and reflectionrate. Midterm 1 and 2 scores are normalized in percentage (%) as each of their maximum possiblescores are different. A two-sample t-test was conducted as well to confirm the statisticaldifference in the midterm scores between STQuiz and LTQuiz , because their sample sizes werelarge
,” in ICERI2023 Proceedings, pp. 4658–4664, IATED, 2023. [2] K. E. Dunn and S. W. Mulvenon, “A critical review of research on formative assessments: The limited scientific evidence of the impact of formative assessments in education,” Practical assessment, research, and evaluation, vol. 14, no. 1, p. 7, 2019. [3] K. Martens, D. Niemann, and J. Teltemann, “Effects of international assessments in education–a multidisciplinary review,” European Educational Research Journal, vol. 15, no. 5, pp. 516–522, 2016. [4] D. P. Collins, D. Rasco, and V. A. Benassi, “Test-enhanced learning: Does deeper processing on quizzes benefit exam performance?,” Teaching of Psychology, vol. 45, no. 3, pp. 235–238, 2018. [5] B. W. Kennedy, “The value
Paper ID #45926One Path to Inspiration: Student Competitions in EngineeringDr. Benjamin Z. Dymond, Northern Arizona University Ben Dymond obtained his B.S. and M.S. degrees in Civil Engineering at Virginia Tech before obtaining his Ph.D. in Civil Engineering at the University of Minnesota Twin Cities. Ben is currently an associate professor of structural engineering at Northern Arizona University.Dr. Matthew K Swenty P.E., Virginia Military Institute Matthew (Matt) Swenty obtained his bachelor’s and master’s degrees in Civil Engineering from Missouri S&T and then worked as a bridge designer at the Missouri Department
not necessarily reflect the views of the Natural ScienceFoundation of China.REFERENCES[1] C. K. Y. Chan and K. K. W. Lee, “Constructive alignment between holistic competency developmentand assessment in Hong Kong engineering education,” Journal of Engineering Education, vol. 110, no. 2,pp.437-457, 2021.[2] N. D. Q. Nguyen, “The essential skills and attributes of an engineer: A comparative study ofacademics, industry personnel and engineering students,” Global J. of Engng. Educ, vol. 2, no. 1, pp.65-75, 1998.[3] E. Krylov and S. Devyaterikov, “Developing students’ cognitive skills in MMS classes,” STEMEducation, vol. 3, no. 1, pp. 28-42, 2023.[4] M. Pinho-Lopez, M. and J. Macedo, “ Project-based learning to promote higher order thinking
violations in real-timecould promote more ethical and effective use of the AI-bot.References [1] S. Feuerriegel, J. Hartmann, C. Janiesch, and P. Zschech, “Generative AI,” Business & Information Systems Engineering, vol. 66, no. 1, pp. 111–126, 2024. [2] A. Yusuf, N. Pervin, M. Rom´an-Gonz´alez, and N. M. Noor, “Generative AI in Education and Research: A Systematic Mapping Review,” Review of Education, vol. 12, no. 2, p. e3489, 2024. [3] U. Mittal, S. Sai, V. Chamola et al., “A Comprehensive Review on Generative AI for Education,” IEEE Access, 2024. [4] R. Liu, C. Zenke, C. Liu, A. Holmes, P. Thornton, and D. J. Malan, “Teaching CS50 with AI: Leveraging Generative Artificial Intelligence in Computer Science Education,” in
focus on evaluatingthe effectiveness of digital twins in improving learning outcomes and career readiness, as well asexploring ways to make technology more accessible to institutions of all sizes. As digital twin technologybecomes more prevalent in industry, its integration into engineering education will not only equipstudents with cutting-edge skills but also prepare them to drive innovation in the future of engineeringdesign and technology.References[1] M. Grieves and J. Vickers, “Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems,” in Transdisciplinary Perspectives on Complex Systems: New Findings and Approaches, F.-J. Kahlen, S. Flumerfelt, and A. Alves, Eds., Cham: Springer
categories: academic (blue), social/psychological (purple), and logistical(green). Legend identifies specific codes. Largest node represents 57 student responses; thickest connecting line represents 20student responses containing both connected codes.Coding scheme of Hsu et al.Results for applying the codes generated by Hsu et al. [4] to the pre-course survey data of thisstudy are presented in Tables 3a and 3b. Results are reported as percentages for ease of comparisonwith Hsu et al.’s data.Table 3a: Codebook developed by Hsu et al. [4] for motivation data. Percentages of responses reported by Hsu et al.and for the data from this study using this codebook. Code name (Hsu et al.) Percent of student Percent of responses
selectingmaterial(s), students’ descriptions of their experience, and how the experience will shape futureaction simultaneously. For example, Kampe’s paper focused on describing a method forcalculating the environmental load of a specific material [20]. Ruzycki’s study explored howmuch students learned of various course topics and what key aspects of the course the studentswere still using in their current coursework a year later, based on a survey [22]. Findings weresummarized in bar chart and word cloud form, respectively. Surveyed and reported topicsincluded life cycle assessment, material selection, and material databases (e.g., CES EduPack).Ruzycki did share one student quote for the final survey question that focused on why studentsthink they should