Chair of Mechanical A Female Professor No No Graduate Engineering Program Full Mechanical B Male N/A Yes Yes Professor Engineering Assistant Mechanical C Male N/A Yes No Professor Engineering Director of
the AI Era: A Framework for Preparing Students in an AI-Driven World," Data Metadata, 2025, doi: 10.56294/dm2025530.[3] J. Magrill and B. Magrill, "Preparing Educators and Students at Higher Education Institutions for an AI-Driven World," Teaching and Learning Inquiry, 2024, doi: 10.20343/teachlearninqu.12.16.[4] O. o. E. T. U.S. Department of Education, "Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations," Washington, DC, 2023.[5] A. Merod and K-12 Dive (2024, Oct. 25). Education Department releases highly anticipated AI toolkit for schools. [Online]. Available: https://www.k12dive.com/news/education-department-ai-guidance-school-leaders/731038/[6] O. Falebita
emerged,with natural language understanding capabilities, but their offering transparency and reproducibility in modelgenerality can limit performance in specialized domains development. Among these, Databricks Dolly-v2-3B haveconsidering vastness and variance used for their training. In this gained significant attention for their efficiency andproject, we fine-tune a pre-trained LLM to adapt it for a specificcontext, improving its accuracy and relevance for context-specific accessibility.queries. The fine-tuning process involves adding bias to the modelparameters towards context and enabling it to answer questions B. Databricks Dolly-v2-3Band
,ethical, and political dimensions [8]. In SSI, students develop (a) a deeper understanding ofcontent, (b) enhanced argumentation and decision-making skills, (c) reflection on social andethical issues, and (d) self-efficacy, all of which contribute to cultivating a competitive,principled workforce [9], [10]. We believe this framework helped us develop a drone-centriccurriculum that integrates the ethical and social issues surrounding drone technology.Module-Based ApproachTo effectively integrate socio-scientific issues with essential CS and ethics content, wedeveloped a module-based approach featuring four modules, each guided by a driving questionto foster student inquiry. For instance, one question, “How can we use drone technology to
Indoor environmental quality 2. Hands-on Workshops and Data Collection 2.1. Data Collection 2.2. Digital Twin a. Real-time monitoring sensing a. 3D scans of classroom b. Standard sensing devices b. VR - AR 3. Data Analysis and Recommendations Low-cost interventions Mid - high-cost interventions Rrecommendations for designers and policymakers IEQ school design Figure 5. Methodology workflowThe project is developed in three steps.Step 1: Teaching ModulesThe
approaches (if any) are foregrounded? 8. Is the theoretical theory a change theory or framework? a. Yes b. No c. Not sure or N/A 9. What are the findings in terms of challenges and strategies?ResultsThe nature of the IJSE literatureThe annual number of published articles in the International Journal of STEM Educationsteadily rose from 2014, peaking in 2022 and then mildly declining thereafter. Conversely,the number of included articles remained less than 10 each year and reached its maximum in2019 and 2022. 80 70 60 50 40 30 20 10 0 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 # of articles published in the year # of
,M., Levine, M. J., & O’Neal, D. P. (2015, June 14-17). Implementation of advocates and alliesprograms to support and promote gender equity in academia [Conference paper]. AmericanSociety for Engineering Education Annual Conference and Exposition, Seattle, WA, UnitedStates.Gilfoyle, E., Nielsen, C., & Coster, W. (2011). Mentoring Leaders: The Power of Storytelling forBuilding Leadership in Health Care and Education. AOTA Press.Li, Y., Hsu, H.-Y., Dean, B., & Bond, M. A. (2023, June 5-7). Supporting faculty success withcollaborative mentoring seed grants [Conference poster]. ADVANCE Equity in STEMCommunity Convening, Durham, NC, United States.McCluney, C., K. Robotham, S. Lee, R. Smith, and M. Durkee. (2019). The costs of
Copyright © 2025, American Society for Engineering Education 7Essa, S., Çelik, T., & Human-Hendricks, N. (2023). Personalized adaptive learning technologies basedon machine learning techniques to identify learning styles: A systematic literature review. IEEE Access,11, 48392–48409. https://doi.org/10.1109/ACCESS.2023.3276439Farrelly, T., & Baker, N. (2023). Generative artificial intelligence: Implications and considerations forhigher education practice. Education Sciences. https://doi.org/10.3390/educsci13111109Figueroa, B., & Eaton, S. (2023). Examining recommendations for artificial intelligence use withintegrity from a scholarship of teaching and learning lens. RELIEVE - Revista
nowadays servo motorshave been widely used in robotics, aerospace, home automation, and mobility devices due totheir high closed-loop performance and reasonable cost [18][19][20]. The system is equippedwith a high-quality direct drive brushed Direct Current (DC) motor, two encoders, an internaldata acquisition system, and an amplifier, Figure 1. Then, it is supplied with two standard items: a) Interia disk. b) Inverted pendulum. Figure 1. Quanser Qube Servo 3 consigurations [21]. Inertia disk. A small aluminum part is mounted to the equipment using magnets, Figure 1 a). It is one of the most used devices in mechatronics [22]. Here, using one encoder to measure the rotation
environment.How Patch Addresses Transition ChallengesIn addressing the key transition challenges identified above, Patch implements specific designchoices. To address readability and command recognition, Patch uses direct semantic mappingsbetween Scratch blocks and corresponding Python functions, preserving Scratch’s intuitivenaming conventions while introducing proper Python syntax. To support command discovery, asshown in Figure 2 (a), we created a command palette displaying all available Patch functions. 1 Available at: https://codepatch.org (a) The pop-up command palette menu that allows (b) Multi-thread Patch program where Thread 0 would students to scroll through the available commands still run despite the compilation error in
. Swenson, “‘Do I belong here?’: Persistence and retention implications of engineering belongingness and identity in academically at-risk populations,” IEEE Frontiers in Education Conference (FIE), Oct. 2022. pp. 1-9., 2022. 2. M. L. Espino, S. L. Rodriguez, and B. D. Le, “A systematic review of literature: Engineering identity and students with financial need in community colleges,” Community College Journal of Research and Practice, vol. 46, no. 5, pp. 352-363, 2022. 3. A. Godwin and A. Kirn, “Identity‐based motivation: Connections between first‐year students' engineering role identities and future‐time perspectives,” Journal of Engineering Education, vol. 109, no. 3, pp. 362-383, 2020. 4. B. E. Hughes, W
prompts iteratively to improve output quality and address discrepancies. 5. Explore settings adjustments (e.g., modifying temperature for deterministic responses) to examine their impact on results.The following figure shows the CPM problem: Critical Path Exercise #1 Draw the network diagram for the following series of activities. Calculate early and late start and finish dates for each activity. Determine the critical path and total duration. How much float is there for activities E, G, and D. Activity ID Preceding Activities Duration (weeks) A --- 3 B
. 12, 2025. [Online]. Available: https://www-scopus-com.proxy.lib.ohio-state.edu/record/display.uri?eid=2-s2.0-851061909 29&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=%28TITLE%28transgender%29 +AND+ABS%28engineering%29%29&sessionSearchId=489192ebf1b727a0671573e86d5 969db&relpos=9[4] A. L. Pawley, C. Schimpf, and L. Nelson, “Gender in Engineering Education Research: A Content Analysis of Research in JEE, 1998-2012,” J. Eng. Educ., vol. 105, no. 3, pp. 508–528, Jul. 2016, doi: 10.1002/jee.20128.[5] “Education,” US Trans Survey. Accessed: Jan. 13, 2025. [Online]. Available: https://ustranssurvey.org/report/education/[6] “Course + Curriculum | Engineering For US All
Paper ID #45486Female engineering academics in the Global South and North: An explorationof language of instruction, using Story Circles and Focus GroupsMrs. Amani A AL-Mqadma, Islamic University of Gaza Amani Al-Mqadma is a Council for At-Risk Academics fellow and a PhD candidate at Edinburgh University Business School. She is Head of International Relations at the Islamic University of Gaza, Palestine. Her research interest is in women’s empowerment and digital entrepreneurship in conflict contexts.Dr. Bill Guariento, University of Northumbria I am Programme Leader for the BA English Language Studies at Northumbria
implementation.Preliminary ResultsA pre-implementation survey was administered to approximately 50 undergraduate studentsenrolled in a structural analysis course to evaluate their initial understanding of structural loadpaths and related concepts, prior to the introduction of the Load Path Explorer educational tool.The survey was divided into two parts: Part A assessed conceptual knowledge through sevencontent-based questions, and Part B evaluated student self-confidence across four structuralreasoning topics using a 5-point Likert scale.As shown in Figure 3a, students demonstrated a strong foundational understanding in identifyingbasic concepts, with 87% correctly defining a load path and 65% accurately identifying thevertical load transfer sequence from slab to
resistance. Testing and Validation Conduct tests Need under varying pressure conditions to verify performance.After the general prompt, a follow-up prompt was used: 'Create 2D and 3Dmodels of the hose clamp.' Figures 1.d and 1.b were generated in response.However, it is evident that these outputs merely depict basic shapes within acoordinate system and do not resemble proper engineering drawings. Figure 1illustrates a comparison between the student-created drawing and the bot-generated output Figure 1. Comparison of desired 3D
collaboration and adaptive teachingmethods in mixed-level classrooms. While engagement and confidence increased, some studentsnoted that collaboration between high school and college students was sometimes limited.Suggestions for improvement included more structured group interactions and clearerconnections between course content and real-world applications. A Engagement Levels B Collaboration Effectiveness 60 60 High School High School
n=1 L + R + + t P t-τ t t+τ +T t - 2τ t-τ t+τ t - 3τ t - 4τ t - 2τ t (a) Letter N -back (b) Flanker N -back (c) Moving Object Tracking Figure 2: Repertoire of Supported Taskstestbed utilizes a lightweight and efficient interface built using the BLEAK python
absolute temperature, and A, B, and C are substance-specificconstants. As previously implied, the Antoine equation performs quite well over moderatetemperature ranges while maintaining a relatively simple form factor, making it suitable for manyengineering applications. However, comparable to the Clausius-Clapeyron equation, the Antoineequation also demonstrates significant deviation near the critical point or over more extremetemperature ranges. Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright 2025, American Society for Engineering EducationThe Lee-Kesler approach4 represents a significant advancement in
presence is growing. Their focus has traditionally been on graduate student concerns and issues related to working conditions [18]. • Less Emphasis on Consumer Protection: While students in the US have certain rights and protections, the emphasis on consumer protection in higher education is less pronounced compared to the UK.Assessment MethodsTable 2: Comparison of Module/Course Grading Scales in the UK and the US Grade Range UK US 90-100% A - First-Class Honors (1st) A - Superior 80-89% B - Excellent 70-79% B - Upper Second-Class (2.1) C - Average
. (a) (b) Figure 1. (a) Sample handwritten student submission after pre-processing andanonymization, with student information removed. (b) Submission after digitization using Mathpix Snipping Tool. Figure 2. Interactive grading platform for automated evaluation of digitized lab submissions using multiple LLMs.3. Results and DiscussionThis section evaluates the reliability of the proposed framework by comparing AI-generated gradeswith human-graded benchmarks. Discrepancies were flagged for manual review, and iterativerefinements were made to the models based on feedback from the TAs.3.1. Digitization PerformanceTo
politicalconstraints remains a crucial area for growth as the program evolves. Despite its success, theprogram is no longer funded, reflecting a shift in the NSF’s stated priorities away from explicitlyjustice-oriented initiatives. As a team deeply committed to equity and systemic change, wedisagree with this shift and remain steadfast in our belief in the necessity of programs like JEDI.AcknowledgmentThis material is based upon work supported by the National Science Foundation under AwardNumber 2318338. Any opinions, findings, and conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] B. Geisinger and D. R. Raman, “Why they leave
, Mar. 2021, doi: 10.1136/bmj.n71.[7] M. C. Ayar, “First-Hand Experience with Engineering Design and Career Interest in Engineering: An Informal STEM Education Case Study,” Educ. Sci. Theory Pract., vol. 15, no. 6, pp. 1655–1675, Dec. 2015.[8] B. Brand, M. Collver, and M. Kasarda, “Motivating Students with Robotics,” Sci. Teach., vol. 75, no. 4, pp. 44–49, Apr. 2008, doi: 10.2505/3/tst08_075_04.[9] R. T. Johnson and S. E. Londt, “Robotics Competitions: The Choice Is up to You!,” Tech Dir., vol. 69, no. 6, pp. 16–20, Jan. 2010.[10] M. Wallace and W. Freitas, “Building Teen Futures with Underwater Robotics,” J. Ext., vol. 54, no. 2, Apr. 2016, doi: 10.34068/joe.54.02.12.[11] A. Eguchi, “Educational Robotics Theories and
into themes. We considered how themes mayemerge across participant interviews, while also considering that themes or patterns may emergewithin participants’ different social identities and college experiences.We worked collaboratively to address their criteria for trustworthiness by establishing (a)credibility by member-checking with respondents; (b) transferability by using thick description;(c) dependability by having Dr. Siller Carrillo Hector—who was not involved in datacollection—serve as an external evaluator to review codes and themes; and (d) confirmability byengaging in reflexivity through journaling and dialogue.Positionality statementWe are an interdisciplinary team of faculty and graduate students with expertise in
, Lincoln, and Boone HSTA regionfor two schools, where School A used NPs and School B did not. School A (n=18) has a meanscore of 23(1.8), and School B (n=6) has a mean score of 21(1.1). An F-test determined that bothsets had equal variances (p = .0653). An equal variance t-test was performed, with p = 0.003.There is a difference between the NP class's versus the non-NP class score. p < 0.01 Figure 2. Mean Difference in Non-Near-Peer vs Near Peer CBRP Resuls Figure 1. CBRP Mean Scores of Non Near-Peer vs Near Peer Tutored ClassAn NP gave qualitative comments: "Being part of HSTA allowed me to witness the growth of the students firsthand, and it was incredibly fulfilling. I'd genuinely
work andthe experiences that prepared them for their global job tasks (RQ3).AcknowledgementsThis material is based upon work supported by the National Science Foundation (EEC-2308607).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of NSF.References[1] J. M. Grandin and E. D. Hirleman, “Educating engineers as global citizens: A call for action / A report of the national summit meeting on the globalization of engineering education,” Online J. Glob. Eng. Educ., vol. 4, no. 1, pp. 1–28, 2009.[2] K. A. Davis and D. B. Knight, “Comparing students’ study abroad experiences and outcomes across global contexts,” Int. J. Intercult. Relat
course grade below a B-. So, although prior knowledgehas some impact on course grades, it didn’t seem to stop students from getting goodcourse grades.Further StudyIn future studies, I would like to investigate whether there is a significant diAerence inscores for students taking the class remotely, and whether and how this relates to howmuch students know coming into the course (probably through another diagnostic test). Ihad hoped to study that with my data from Fall of 2024, but too few remote studentsconsented to participate in the study. I would also like to add more optional practicequestions for partial diAerential equations, so that the amount of extra practice availablefor that subject is in line with the amount of extra practice
develop theirpedagogical and entrepreneurial mindsets.Reference[1] H. H. Choi, Y. W. Chen, A. M. Beckman, L. Anderson, B. E. Johnson, M. D. Goodman, C. Migotsky, and N. Johnson-Glauch, “Integrative Engineering Leadership Initiative for Teaching Excellence (iELITE),” in Proc. ASEE Annu. Conf. & Expo., Salt Lake City, UT, USA, Jun. 2018. doi: 10.18260/1-2--30696.[2] Y. W. Chen, H. H. Choi, B. E. Johnson, M. A. Beckman, and L. Anderson, “Board 85: Integrated Engineering Leadership Initiative for Teaching Excellence (iELITE) Year Two: Assessment of Intermediate-Term Outcome for Graduate Teaching Assistant Training,” in Proc. ASEE Annu. Conf. & Expo., Tampa, FL, USA, Jun. 2019. doi: 10.18260/1-2--32445.[3] H. H. Choi, S
b. Bers’ Engineering Model [12] Figure 3. EngineeringEngineering for Early ChildhoodEngineering in early childhood involves using materials to build physical items that addressspecific problems or needs. It is a process driven by purpose and creativity, often requiringchildren to define a problem based on criteria such as available resources and time constraints.Bers outlined an engineering cycle for young learners that includes six steps: suggestingpossible solutions, selecting the most suitable one, creating a prototype, testing it, and refiningthe design. These steps encourage problem-solving and iterative thinking, making engineeringan effective hands-on learning approach for early childhood
engineering doctoral education: Experiences of students with minoritized sexual identities. Annual Meeting of the American Educational Research Association; Denver, CO.[5] Ehrhart, M. G., Schneider, B., & Macey, W. H. (2013). Organizational Climate and Culture: An Introduction to Theory, Research, and Practice. New York: Routledge. https://doi.org/https://doi.org/10.4324/9781315857664[6] Ehrhart, M., & Schneider, B. (2016). Organizational climate and culture. Oxford Research Encyclopedia of Psychology.[7] Schneider, B., & Barbera, K. M. (2014). The Oxford handbook of organizational climate and culture. Cheltenham, UK: Oxford University Press.[8] Hurtado, S., Milem, J. F., Clayton-Pedersen, A. R., & Allen, W. R