need for workforce expansion inscience, technology, engineering, and mathematics (STEM) (National Science Board, 2024).Here we present lessons learned from a broader study aimed at nudging engineering faculty toadopt more of the known best practices for inclusive teaching. We adopt Hockings’s (2010, p.1) definition of inclusive teaching as “the ways in which pedagogy, curricula and assessment aredesigned and delivered to engage students in learning that is meaningful, relevant and accessibleto all. It embraces a view of the individual and individual difference as the source of diversitythat can enrich the lives and learning of others.” Engineering faculty are often unaware ofinclusive teaching, so consequently, inclusive teaching methods are
to present their work at the 2024 International Symposium on Academic Makerspaceshosted at the University of Sheffield in the United Kingdom. This global event brought togethereducators, industry experts, and students from around the world, facilitating the exchange ofknowledge, experiences, and inspiration to enrich student learning experiences and promote alumnisuccess.The team engaged in thorough planning and debriefing sessions, assessing their goal achievementsthrough active participation in seminars and presentations sessions depicted in Figure 3,demonstration sessions illustrated in Figure 4, and workshop sessions in Figure 5. Additionally, someSIG leaders conducted impromptu visits to overseas academic makerspaces, facilitated
regular assessment and feedbackprocess for this assignment, each of these profiles were evaluated by a marker, and each of thecompetencies included in the profile was scored according to a four-point rubric (Table 1). Inthis study, practices that represent the lower levels (1-2) of the Kræmmergaard framework werelabelled as “digitally supported learning” whereas practices that represent the higher levels (3-5)were labelled as "digitally enhanced learning”.Table 1: Rubric for evaluating level of digitalization Score Label Description Null Absent This competency is not mentioned in the profile 0 Non Digital No mention is made of digital for this competency 1 Digitally Digital tools are used in ways that
systems, engineering education, graduate STEM education, hydrology and waterresources, and international/interdisciplinary collaboration. Dr. Lohani secured the first two NSFprojects in 2003 and 2004 in collaboration with his engineering and education colleagues thatestablished the culture of sponsored research in engineering education within the College ofEngineering at VT. He has participated in $8.4M in sponsored research, published over 100 peer-reviewed publications, delivered 34 invited talks nationally and internationally, and mentored 10Ph.D., 12 M.S., and 40+ undergraduate researchers. He is founding director of aninterdisciplinary lab called Learning Enhanced Watershed Assessment System (LEWAS) at VT.VT’s Board of Visitors awarded Dr
. Calculate stresses, deformations, and internal forces in simple structures.The course methodology includes lectures-based classes, practical exercises, and writtenevaluations, fostering quantitative scientific reasoning and analytical skills to address theproblems specific to Construction Engineering.D. Procedure. Table 1 provides details of the instruments and activities conducted during thestudy, indicating the specific weeks of the semester in which they were implemented.Table 1. Timeline of activities and assessments incorporating ChatGPT in the applied statics course. Time of the Content Week of the semester (out of 17) semester Beginning
the US as they transitioned into their roles, especially in terms of their experienceswith asserting their legitimacy, understanding their expectations, and establishing supportnetworks [3]. A similar autoethnography conducted by Hladik et al. had similar findings for pre-tenure EER faculty in Canada [4]. Aslam and Alarcón examined the composition of engineeringeducation faculty in US institutions that offer engineering education programs, identifying theirtenure status as well as terminal degree and corresponding disciplinary focus [5].Inspired by these studies, we sought to understand the broader context of faculty involved inEER in Canada and in particular, to assess the support they receive and the challenges theyencounter. This work-in
the academic semester. This is a gap because many students maystill struggle with their math class or other engineering classes that incorporate math concepts.MethodsBecause this is a work in progress, we can measure Goal 1, 3 and 4. Goal 2 is incorporated intothe program design and discussed below. We will not know persistence and graduationcompletely until 2027 or later. Goals 1 and 4 are measured by students’ performance on theplacement test retake, math course GPA, cumulative GPA and progression into their major.Sense of BelongingGoal 3 is to promote a sense of belonging for the students. This was assessed through twodifferent surveys. There are a few published scales for sense of belonging that have undergonethe development process to
Education, In-press.[5] E. Hsu, T. J. Murphy, and U. Treisman, “Supporting High Achievement In IntroductoryMathematics Courses: What We Have Learned From 30 Years of the Emerging ScholarsProgram,” in Making the Connection: Research and Teaching in Undergraduate MathematicsEducation, M. Carlson and C. Rasmussen, Eds., Mathematical Association of America, 2008.Accessed: Jan. 13, 2025.[6] S. Johnston et al., “Work in Progress: PEERSIST—An Observational Study of StudentQuestions to Identify Levels of Cognitive Processing,” presented at 2024 ASEE AnnualConference & Exposition, Portland, OR, USA, Jun. 23-26, 2024, 10.18260/1-2--48506.[7] L. W. Anderson and D. R. Krathwohl, A taxonomy for learning, teaching, and assessing: Arevision of Bloom’s
Career Interests, Goals, and Actions: A Test of SCCT,” J. Career Assess., vol. 27, no. 1, pp. 134–150, Feb. 2019, doi: 10.1177/1069072717748665.[7] J. Ellis, B. Fosdick, and C. Rasmussen, “Women 1.5 Times More Likely to Leave STEM Pipeline After Calculus Compared to Men: Lack of Mathematical Confidence a Potential Culprit,” 2015, doi: 10.48550/ARXIV.1510.07541.[8] N. Hatfield, N. Brown, and C. M. Topaz, “Do introductory courses disproportionately drive minoritized students out of STEM pathways?,” PNAS Nexus, vol. 1, no. 4, p. pgac167, Sep. 2022, doi: 10.1093/pnasnexus/pgac167.[9] E. J. Lavernia and J. S. VanderGheynst, “The Algebra Challenge,” National Academy of Engineering, Jun. 2023. [Online]. Available: https
and theindividual report of hours) every 2 weeks from a time-on-task teaching assistant so there is nofaculty involvement. This is only the first phase of the study where we are implementing the tooland adjusting intake form shown in Figure 1. Figure 2 shows an example of the learninganalytics dashboards returned to individual students every two weeks.The goal of the first phase of this study is to understand students’ perception of time, and howthey report it. For the second phase we have started the IRB submission to use qualitativeinterviews to assess reflective and awareness aspects in the use of time to guard against stress,develop better studying/working habits, and address miscommunication among team members.Figure 1: Screenshot of the
, qualitative feedback,and comparative analysis of student assessment data across three departments are presented.Results indicate that the OER were well-received by instructors and students alike, providedsubstantial cost savings, and performed comparably to commercial materials in supportinglearning outcomes. This work contributes to the growing body of evidence that OER can serve asa viable and pedagogically sound alternative in technical disciplines.1. IntroductionEngineering students are required to complete an Engineering Economics course as part ofprogram accreditation requirements across the United States and Canada [2][3]. Traditionallytaught using commercial textbooks, these courses often present affordability challenges tostudents
ideas thatheld personal significance, rather than simply choosing a project at random. To assess thepotential effects of this addition, a pre/post survey instrument was used to collect student data,addressing the following two research questions: (1) To what extent does allowing students tochoose a system dynamics project based on personal/emotional connections to the project helpthem increase their self-efficacy in system dynamics? (2) To what extent does choosing their ownemotionally invested project improve student competency based on project and over allgrades?While students were required to complete the class project, participation in the research study wasvoluntary and student data was anonymized. The study was conducted under
pedagogical approach,including the content of its syllabi.This transitionary period presents a unique opportunity for the CPE Department to reassess itscommitment to diversity, equity, inclusion, and justice (cornerstones of the new department) inthe classroom. As part of this broader assessment, this project examines the language used incourse syllabi through thematic analysis, focusing on how these documents reflect or addressthese values. One key concern for the department is the experience of women, especially womenof color, who have historically faced greater challenges in this program compared to theircounterparts. We believe that course syllabi may play a positive and/or negative role in shapingthe experiences of students in the program. This
students'responses to the active learning exercises and present recommendations for engineering facultydevelopment.Asok et al.[6] demonstrated the strategies to achieve higher order thinking skills (HOTS) throughvarious ALE strategies like Role Play, Jigsaw, Brainstorming, debate, Mind map etc for ConceptUnderstanding and Group assignments, combined mini projects, Discussion on Topics, Quiz, andPuzzles for Concept Applying. They applied various learning strategies and assessed the studentoutcomes. They reported that HOTS is achieved by developing applications or products, withimproved interpersonal skills and lifelong learning skills. The evidence for the effectiveness ofactive learning environments among engineering students is shown by great improvement
with suggestions of Du etal. and Sivapalan et al. to investigate whether values, beliefs, and attitudes in engineeringeducation actively position and engage students as social agents [7,8]. Social responsibility,including examination of racial and gender inclusivity have been the subject of extensiveexamination in engineering education in general. Based on an Ethic of Care, theses holisticengineering practices build relationships focused on shared virtues and express these virtues in anumber of ways such as catering to aid in Humanitarian Engineering or catering to empathy inDesign Thinking [9-11]. Canney and Bielefeldt presented a framework that centers aroundcreating a tool called the Engineering Professional Responsibility Assessment (EPRA
[18], conducting a ‘quantifiable’privilege assessment [18], and third space norm sharing [35], among others. This work aimed toimplement the essence of some of the mentioned practices to assess and map a mentoringrelationship in a pro-Black research manner [14], [15] that centers people, their assets, and theircultural differences while conflicts in a research process are being resolved.Methods: For this study, recommendations from a pro-Black engineering education researchapproach [14], [15] were used, informed both by STEM-ME and Ethical Mentoring frameworks[13], [24] and using a critical, hidden curriculum lens [6], [16]-[19], [21], [28], [31], [32], [35]. Todevelop a process to assess and map a mentoring relationship in a
was exclusively virtual and from then on it has a hybridformat. Table 1. Topics presented at engineering education conferences in Event A and Event B. Topics presented at the LACCEI Multiconference. Topics presented at the LEIRD Multiconference. 1. Accreditation, Assessment, Dual Degree, 1. Circular economy innovation and Frugal innovation Certificate Programs, and Degree Equivalency 2. Communication strategies and Social Networks in of Engineering entrepreneurship and innovation 2. Chemistry, Mathematics, and Physics in 3. Design thinking-driven innovation Engineering Education 4. Digital
, ensuring that students are equipped with the skills necessary to thrivein an AI-driven world. This growing integration of AI tools into curricula promises to driveinnovation in teaching methods, assessment, and the broader educational ecosystem, preparingfuture engineers to navigate and contribute to an AI-powered landscape.Recent studies highlight the growing integration of Artificial Intelligence (AI) tools inengineering education, reflecting both their potential and challenges. For instance, Subramanianand Vidalis [1] explore AI-powered tools, including generative models like ChatGPT, thatfacilitate interactive, personalized learning experiences in engineering classrooms shortly afterthey are becoming readily available to the public. They
thereare efforts to include data science in K-12 education, this area of research remains understudied.This study aims to shed light on the landscape of K-12 data science education research in theUnited States. We methodically investigated studies from 2014 to 2024. The papers wereanalyzed, focusing on pedagogy, assessment methods, and the tools and techniques used to teachdata science to the K-12 population. The results of this literature review demonstrate the need formore early childhood data science education research and curricula. Additionally, it underscoresthe importance of creating targeted and accessible curricula to equip students of all ages andbackgrounds with foundational data skills. Current K-12 data science education
% N/A Q10 3 1.55% 33.33% N/A Q11 3 1.55% 100% N/A Q12 90 46.63% 97.78% 98.88% Results & Discussion The researchers jointly assessed survey and focus group responses to gain a holistic understanding of student usage and opinions regarding the implementation of generative AI in engineering coursework. Fundamentally, the researchers were curious about what types of generative AI students predominantly utilized within the course. Of the 158 student responses to the survey, 107 (67.72%) students confirmed that they used generative AI within the course, and 51 students (32.28
. W., Inventado, P. S., & Mosyjowski, E. (2024). Equipping students in software development with socially engaged engineering and design skills. 2024 ASEE Annual Conference & Exposition Proceedings, 47328. https://doi.org/10.18260/1-2--47328Loweth, R. P., Daly, S. R., Liu, J., & Sienko, K. H. (2020). Assessing Needs in a Cross-Cultural Design Project: Student Perspectives and Challenges. International Journal of Engineering Education, 36(2), 712–731.Nieusma, D., & Riley, D. (2010). Designs on development: Engineering, globalization, and social justice. Journal of Engineering Studies, 2(1), 29–59.Niles, S., Contreras, S., Roudbari, S., Kaminsky, J., & Harrison, J. L. (2020). Resisting and
supportive of student learning objectives, woven through the course inappropriate ways. To begin with, we found it helpful to ensure that the DBIR team understoodand centered the student learning objectives for the course. Generative AI should not overtakethe course goals, but rather enhance or supplement pre-existing content and activities.Once these learning objectives are at the forefront, instructors can use the principles of backwarddesign [7] to create or interrogate existing activities, assessment, and content to ensure that theyare supporting the objectives. When attempting to determine what role the AI should play,instructors can consider what is unnecessary for the student to do, what cannot be done due to alack of resources (e.g
,” Journal of Intelligent Manufacturing, Vol. 11, pp. 403-419, 2000.[6] Chevalier, A., 2024, March. Educational Advancement of an Industrial Automation Course: CombiningSimulation with Physical Experience. In International Conference on Science and Technology Education (pp. 178-185). Cham: Springer Nature Switzerland.[7] Li, T. and Kaufman-Ortiz, K.J., 2023, July. Simulation-Based Training in the Manufacturing Industry: ASuggested Quick Assessment. In International Conference on Human-Computer Interaction (pp. 413-428). Cham:Springer Nature Switzerland.
. Cockburn, M. Cunningham, J. Fowler, J. Grenning, A. Highsmith, R. Hunt, J. Jeffries, B. Kern, R. C. Marick, S. Martin, K. Mellor, J. S. Schwaber, and D. Thomas, “Manifesto for agile software development,” 2001. [Online]. Available: https://agilemanifesto.org[5] D. Parsons, R. Thorn, M. Inkila, and K. MacCallum, “Using trello to support agile and lean learning with scrum and kanban in teacher professional development,” in 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2018, pp. 720–724.
Project I 3 Capstone Project II 3 Regulatory Control of Biomedical Devices 3 TOTAL COMMON CREDITS 48Future work:We are currently collecting survey data from the students. Data from Fall 2024 indicates thatthey like the exposure to design, but that the topics between 1st and 2nd year design courses arerepetitive. We will assess student achievement using exit surveys and analysis of artifacts fromstudent capstone projects from the 2025 and 2026 graduating classes (old curriculum) and 2027and 2028 classes (new
Psychology, vol. 105, no. 4, p. 1050–1066, 11 2013.[8] J. Asbell-Clarke, E. Rowe, and E. Sylvan, “Assessment design for emergent game-based learning,” in CHI ’13 Extended Abstracts on Human Factors in Computing Systems, ser. CHI EA ’13. New York, NY, USA: Association for Computing Machinery, 2013, p. 679–684. [Online]. Available: https://doi.org/10.1145/2468356.2468476
to makeservice learning more accessible and manageable for educators, while providing students withvaluable opportunities to apply their technical skills to real-world problems.The SPSG framework was piloted in four courses at two institutions, involving 45 student teamsduring the Fall 2023, Spring 2024, and Fall 2024 semesters. These teams, consisting of juniorsand seniors, engaged in projects supporting community-based and commercial clients, with themajority working on non-profit initiatives, all using the SPSG framework. To assess the impactof these experiences on students, pre- and post-surveys with a longitudinal component were usedto gather data on students’ skill development and professional growth.Project activitiesSPSG has made
at University of Wisconsin – Platteville. He received his Ph.D. in Systems and Engineering Management from Texas Tech University. Gana’s research interests are in engineering education, learning analytics, and novel use of data analytics in decision making.Ingrid Scheel, Oregon State University Ingrid Scheel is a Project Instructor at Oregon State University. She works to teach from an integrated sociotechnical perspective in engineering science and design courses. Her focus is systems engineering and program management. Scheel has experience in small business strategic planning and risk assessment, designing and deploying fiber optic sensors and sensing systems, prototype development, instrumentation, data