ofnew engineering pedagogy focused on Human Rights. We then explain the methodologyemployed for our survey and introduce our preliminary results. The paper concludes withlessons learned, derived from our survey responses and course evaluations, and future plans.1 The University of Connecticut’s broader Engineering for Human Rights Initiative (EHRI) is “a collaborativeventure between UConn’s College of Engineering and the Gladstein Family Human Rights Institute that addresseshuman rights implications of the most significant challenges in engineering and technology.” Seehttps://engineeringforhumanrights.initiative.UConn.edu/ 3 ASEE 2024HUMAN RIGHTS
company practicing corporatesocial responsibility (CSR), the commitment “to principles of accountability to communitystakeholders, customers, suppliers, employees, and investors” [16]. In such a work environment,it is possible for an engineering manager to perform all five steps during the planning andpermitting of new oil and gas facilities [15].However, what is the outcome if an employer is not committed to CSR, but is merely providingthe minimum disclosures required by the European Union’s (EU’s) Corporate SustainabilityReport Directive law, which first applies to all large companies and all listed companies withEU operations in the 2024 financial year [17]? How can socially responsible engineering beapplied if a company’s fundamental
instructors.While gender disparities in engineering are a widely studied and cited phenomenon, there hasbeen minimal investigation into the role of masculinity as a cultural ideology within engineering.By including a scale to evaluate Hegemonic Masculinity, or the idea that men should be allpowerful, tough and nothing like women, we planned to explore the connections between theendorsement of that ideology and the sense of belonging and identity for students (Vescio andSchermerhorn 2021), (Thompson and Pleck 1995).We are particularly interested in how chemical engineering students respond to all five of theseinstruments through the lens of gender and grade point average (GPA). Grade performance is animportant factor considering the comparability of the
teaching andassessment strategies with authentic research (Sletten, 2021). These studies also unveil anincreased positive attitude toward online assessment methods, highlighting the necessity forpurposeful planning and training to address challenges associated with new tools andscheduling conflicts (Cirit, 2015).In summary, these collective studies emphasize the diverse and evolving landscape ofassessment strategies in education, with a focus on promoting meaningful learningexperiences and adapting to the changing demands of the educational environment.Cumulative AssessmentsCumulative assessments, employed across diverse educational settings, evaluate students' overallunderstanding and retention of knowledge and skills acquired over time. This
non-traditionalstudents improve their learning and has been adapted into many different teaching contexts. Thebackbone of JiTT involves students completing an online assignment, called a warm-up, basedon an assigned reading. Students have up until a few hours before class starts to complete theassignment. In those few hours before class the instructor reviews student responses and adaptstheir plan for class according to the students’ current knowledge level. This paper describes theimplementation of JiTT in an undergraduate Mechanical Engineering Mechanics of Materialscourse, with the goal of using it to help students achieve learning objectives on the lower end ofBloom’s taxonomy before class. Short answer type questions for learning
teamwork [8].Despite several advantages of game-based learning, there has not been a wide acceptance of it dueto the cost and maintenance of such systems, coupled along with the complexity of developing aworking system suitable for learning [9]. Other restrictions faced are the approval of replacinggames as a focus in class from the professional world, but due to the recent COVID-19 pandemic,more educators have become inclined to use and explore the possibilities of this new educationaltool, and recent studies have backed this as a positive approach towards education [10], [11].Acknowledging the success and advantages of game-based learning in engineering, this proposedresearch study was planned. This research study aims at understanding how those
thinking and technical creativity.Applicability criteria ensure that students' innovations remain grounded in real-worldrequirements, addressing actual needs within the engineering field. Feasibility measures thestudents' ability to foresee and plan for the implementation of their designs, taking into accountmaterial constraints, budget considerations, and timeframes. This comprehensive evaluation ofdeliverables has heightened the caliber of project work, as evidenced by the improved scoresfollowing the curriculum intervention.These enhanced criteria not only elevate the sophistication of the student projects but also instilla deeper understanding of the innovation process within an engineering context. As studentsgrapple with these criteria, they
, particularly in how we introduce and integrate the notional machineconcepts across the curriculum.The integration of Notional Machine-guided labs in CSE12, including new assignments on Linked Listsand Hash Maps, reflects our ongoing commitment to this pedagogical approach. As we plan to expandthese labs to include more complex data structures, it is crucial to balance the depth and breadth of theseconcepts without overwhelming the students. While the direction in CSE12 has been promising andaligns with our initial observations, continuous refinement of the lab assignments and statistical tests,robust data collection, and feedback-driven iterations are essential. Our journey in enhancing theefficacy of the Notional Machines approach is ongoing, and we
succeed, whatever that looks like… So a lot of it I do think is me and [the other faculty’s] early messaging about … when students are like, taking a quiz and not getting it the first time, then our message to them is “not yet.” the next step is let's talk together about the next steps.” So like, the recourse from that is a conversation and an action plan. (Professor Gamma) …I think feedback is a big one that I've been thinking about and I think I'm surprised at how good some industry folks are at giving good feedback. And how sometimes we as teachers can be really hesitant to give harsh feedback or maybe honest feedback is more a word for it. Because we don't want to hurt their feelings or make
beutilized to analyze short-answer responses in the few-shot approach. As we plan to form ahuman-computer partnership to create an AI assistant tool for the CW, we want to iterate ourqualitative coding and use of machine learning tools before we create and launch our final tool.Regarding our qualitative coding, we have begun to integrate a resources-based framing [61],[62], [63] into the coding scheme, which can help us further investigate how students use piecesof knowledge in specific contexts. This will require more manual annotation of a few thousandsamples and fine-tuning a large language model (LLM) on this data. Regarding machinelearning, we formulated the problem in our study as a sequence labeling problem, where thespans of the student
equity and inclusion topics. She primarily teaches thermal-fluid sciences as well as introductory and advanced design courses.Ms. Ren´e Marie Rosalie Marius, Lipscomb University Ren´e Marius is an undergraduate student at Lipscomb University. She is studying Software Engineering with a German minor. Ren´e has been working with Dr. Dodson to research the connections of humanitarian engineering projects affecting views of diversity, equity, and inclusion.Mark Sedek, Lipscomb University Mark Sedek is an undergraduate student at Lipscomb University studying mechanical engineering with a minor in applied mathematics. Looking forward, he plans on gaining more experience within the research field and pursue graduate school
made filling the planned RScohorts extremely challenging. Three recruiting years (2017-2019), instead of the originallyplanned two, were needed to enlist enough students for the study, in cadres of six, nine, and six,respectively. Within the design of the overall program, the researchers sought to include multiple climate-based features, common in smaller engineering departments and advocacy organizations [23]. Topromote intra-group socialization, students were invited to in-home celebratory dinners withfaculty members, social functions on and off-campus, and seminars with the primary researchers.Significant effort was invested in esteem-building for the RS, by providing a welcomingcommunity for them and demonstrating that faculty and
resultswhen the “devil makes the work half-done”. This relates to the heart of what an individualperceives themselves in when surrounded / rendered unsettled by the hindrances / impedimentthat might come along on this journey on the road to achieving the desired / set targets.Another student Iqbal identified cultural nuances that existed between his homeland and theUnited States, which were observed in the way he adjusted to the kind of advising that waspracticed. He said, 8 "Back home, task sort of going based on proper planning. Here, it's more unstructured and less deadline-y kind of thing. So, it's taking me longer than anticipated to
product with interacting components 8. Develop the detailed design and interactions of a series of machine elements 9. Apply a range of creative methods to a given problem to generate a range of alternative solutions 10. Plan and manage a project, cooperating within a design group, to meet specified milestones and deliverables. 11. Collaborate to communicate the project work outcomes.Design week addresses the aforementioned ILOs (apart from the manufacturing aspect) andthis is achieved by use of multiple deliverables and learning opportunities across the week.This paper presents Design Week, an intensive, immersive week-long assessment that hasbeen iterated (now in the sixth year) and honed into a successful, engaging and
thestudents poorly prepared for careers after graduation. If they can plan on using CAS calculatorsat work, can do the work faster and more reliably with these tools, and can retain this abilitylonger, then we should allow their use.Consideration of the Proposal – Seeking Input; Revisions Made Due to Input from ConstituentsAs part of Student Outcome Evaluation and Assessment in 2020-1, the author examined aperformance indicator (PI) covering calculus from the upper level problem-solving course.Results were collected from the upper level problem-solving class for a section taught in Fall,2019. As documented with a standard department PI assessment and evaluation form inDecember, 2020, the results fell below the department standard, requiring action
with the intent of learningmore about decisions during the planning and development of the LI. The PI also made sure eachparticipant was able to, and felt comfortable, offering their ideas and criticisms throughout theprocess. In this way, no one participant could control the development process or find theiropinions unwelcomed. The PI also aimed to interfere as little as possible during the workshopand development process to limit their bias and influence on the development of the LI. Anoutline of the workshop is shown in Table 1 with a brief summary of the workshop in thefollowing paragraphs.Table 1: Outline of the Collaborative Workshop Objective Estimated Time PI and Research Study Introduction
aspecific individual or a larger group. Some of these questions focus on differences in relatabilityto different user groups, e.g., designing for other students as opposed to groups with whichstudent designers share few obvious similarities. The key questions to address here are whetherdifferences in target user groups presents issues for applicability of the model across contextsand how differences in user definition (or interpretation thereof) might affect experiences ofempathy. This question also leads into a consideration of whether the model should focus onusers exclusively or integrate user-adjacent stakeholder groups.We plan to address each of these three items as we continue engaging each of the user groupsand refining the
of the economic and social benefits for completing a college degree," Journal of Education Policy, Planning and Administration, vol. 6, no. 5, pp. 1-40, 2016.7. F. S. Tsai and K. H. Wong, "The state of massive open online courses (MOOCs) in engineering education: where do we go from here?," presented at the 2013 ASEE Annual Conference & Exposition, 2013.8. S. Porter, To MOOC or not to MOOC: How can online learning help to build the future of higher education?, Chandos Publishing, 2015.9. "What You Need to Know About MOOCs," Chronicle of Higher Education, [Online].10. S. Rose, "The value of a college degree," Change: The Magazine of Higher Learning, vol. 45, no. 6, pp. 24-33, 2013.11. Arum, Richard, and Josipa Roksa
) agree with statementsrelated to EML outcomes related to creating value and curiosity in the survey. They have relativelystrong agreement and thus confidence in their abilities due to prior exposure on the technical topicand PBL since all students plan to graduate in the same semester or within a semester of this courseoffering. The results show that mechanical engineering students can perform certain tasks neededfor an open-ended EML-based video project while they still require early and further exposure todevelop their EML and video communication skills. The study did result in helping preparestudents to think differently about PBL than just solving technical problems, and to be able tomotivate development, build and digitally communicate a
). "Professors Plan Summer AI Upskilling, With or Without Support." Inside Higher Ed.Bogost, Ian. "The First Year of AI College Ends in Ruin." The Atlantic 16 (2023).Di Bitetti, M. S. & Ferreras, J. A. (2017). “Publish (in English) or perish: The effect on citation rate of using languages other than English in scientific publications." Ambio, 46, 121- 127.Duin, A. H. & I. Pedersen. (2021). Writing Futures: Collaborative, Algorithmic, Autonomous. Studies in Computational Intelligence, v. 969. Springer. https://doi.org/10.1007/978-3- 030-70928-0Duin, A. H., et al., (2023). “Stronger Relationships, Stronger Programs: Asserting Expertise for a Generative AI Landscape.” Council of Professional
of critical reflection assignments in the recently added prerequisite for my course, I could provide more guidance about what critical reflection actually looks like. In winter 2024, I am planning on sharing two example paragraphs, one which is more descriptive and the other which is critically reflective, and asking the students to identify the differences between them to support their own critical reflection. I also created a template for the debate reports to help students understand the expectations in terms of content, level of detail, citations, etc. for each section of the assignment. Overall, I had to recognize that not all students can understand my rubrics (if they choose to read them at
). For that reason, we had two additional(secondary) research questions: • Secondary question 1: Does JMCQ permit the creation of rich feedback? • Secondary question 2: Does JMCQ help with test anxiety?In brief, the data obtained answers these questions affirmatively. Note that JMCQ’s grading canbe fully automated and instantaneous when the justifications are themselves selected from amongdistractor-justifications. (In one of our trials we also used a text-input version for comparison.)Thus, JMCQ can be used to auto-generate a customized follow-up study plan for each student.Furthermore, because justifications are presented to students, it potentially removes some anxietyaround whether a student’s phrasing is sufficient.What are effective
amounted to 1,634. The collected sample was divided intotwo halves to facilitate both exploratory factor analysis (EFA) and confirmatory factor analysis(CFA). This division was planned to ensure that the demographic characteristics, including classsize, gender, and others, were evenly distributed across both subsets. This approach,recommended by DeVellis, serves a dual purpose: EFA allows for the identification andexploration of underlying factor structures without preconceived hypotheses, while CFA is usedto test and confirm the factor structure suggested by EFA. Splitting the data in this mannerprovides a robust methodology for validating the scale's construct validity, ensuring that theanalysis is both comprehensive and reliable [28]. In Step 7
project manual detailing the code required loads and present theircalculations for the analysis and design of steel deck, composite and non-composite slabs, beams,light-weight steel joists, columns, bracing, and connections to meet steel specification criteria forstrength, stiffness, and stability. Students submit bi-weekly assignments that build upon one anotherto create the project manual and at the end of the semester create construction documents that includegeneral notes, typical steel details, framing plans, framing elevations, and enlarged details.In past semesters, students relied on a combination of hand calculations and the structural analysissoftware RISA to analyze and design the structural components of the building. However
meticulousness, good 12. bring job planning, etc. satisfaction and 3.16 of 19 stated they were productivity happy with their jobs, appreciative of the provisions of support, protection, and career development opportunitiesWhat happens
is an ongoing project, we have not investigated pre- and post-engineering andtinkering self-efficacy [28] but we plan to collect this data in the future. Prior work cites thepositive effects that participating in and engaging with Makerspaces has on self-efficacy;however, students often engage with these spaces on a voluntary basis. Little work has exploredif the integration of a Makerspace activity into a mandatory course assignment will have equallypositive outcomes for students. The loss of agency in engagement with the space itself couldhave significant effects on student self-efficacy and thus is a critical next step to be explored.Further, while this work gives us insights into why students choose specific projects, we want toknow if
departments from two different colleges in ourinstitution, engineering and science. Information to populate the High Impact Practicesubgraph was mostly obtained by leveraging the UTEP Engage tool that contains a database ofhistorical faculty and student involvement in HIPs at our institution. This tool producesspreadsheet reports, thus, populating the ontology involved a manual process using the Protégétool. This knowledge base provided individual instances of HIPs such as faculty-led workshops,undergraduate research opportunities, internships, and courses where HIPs were used to enhancestudent engagement in the selected departments. For the first version of the SSKG, studentinformation and other non-public information were excluded. We plan to
of numerical grades. Total point system, total points for each assignment add to a fixed number of points (e.g., 2000), with each assignment and assessment having a defined number of points. Open point system allocates a specific number of points for each assignment. The number of points a student achieves throughout the course is then divided by the total number of points possible to get a percentage score. Multiple grading approaches for course (e.g. student chooses weights, different weight scheme (over / under emphasizing final for example) and giving higher result, or individualized grading plans. Other (please describe briefly)What is the percentage of the grade allocated to different required course
report can be provided in realtime to the learner to help them directstudy efforts as well as aggregated over an entire class to inform an educator about how toallocate instruction time. While the project is technically mature, studies are still underway withevaluative pilot studies taking place in February, 2024 and a full evaluation planned for Fall of2024.Thinking forward, we hope this paper outlines a novel approach for teaching and assessingstudent thinking in the context of a simulated virtual laboratory environment that could beapplied to engineering disciplines outside of thermodynamics. Beyond our own implementationsand forthcoming evaluation efforts, we hope to see ongoing research to explore the efficacy ofvarious design elements of
building, and career decision- making self-efficacy: a case study of collegiate women in aviation.” Journal of Women and Minorities in Science and Engineering, 29 (3). 2023.[4] IATA, “Advancing Diversity, Equity & Inclusion with 25by2025.” 2023.[5] Women in Aviation Advisory Board, “Breaking Barriers for Women in Aviation: Flight Plan for the Future.” In Federal Aviation Administration. Https://www.faa.gov/regulations_policies/rulemaking/committees/documents/index.cfm/ committee/browse/committeeid/817. 2022.[6] R. Lutte, Women in Aviation: A Workforce Report 2021 Edition. Https://www.researchgate.net/publication/357032586_Women_in_Aviation_A_Workforc e_Report_2021_Edition. 2021.[7] C. K. Marete and C