—something especially valuable forthose who may feel their perspectives are not typically centered in academic spaces.Additionally, it is important to remain aware of how communication styles can inadvertentlysilence voices. When students have internalized that their contributions are undervalued, theymay speak less—not from lack of insight, but from prior learned restraint. Attuning to thisdynamic is key to creating environments where every student can participate meaningfully.2. Think in Terms of PossibilityIn collaborative planning sessions with new institutional partners, I often hear limitations surfacequickly: “We can’t because…” or “We don’t have the resources to…” These statements, thoughwell-intentioned, often reflect conditioned patterns
and all life on Earth,” (Planetary Health Alliance). InSeptember 2023, the United States Bureau of Labor Statistics updated the formal definition ofjob code 17-2081 Environmental Engineers. The prior definition noted that, environmentalengineering was defined as, “research, design, plan, or perform engineering duties in theprevention, control, and remediation of environmental hazards using various engineeringdisciplines.” The current definition now includes that, “environmental engineers use engineeringdisciplines in developing solutions to problems of planetary health.” The purpose of this panelpresentation is to discuss the meaning of planetary health, and how environmental engineerssolve the problems of planetary health by addressing two
anduser friendly to newer/beginner musicians, looking to delve into the world of effects. Thispedal should both be intuitive and easy to understand to someone who hasn’t interactedwith a pedal, and cost effective to allow for a less expensive entry into the pedal market.While it would be ideal to design the pedal using individual components instead of thedevelopment board to help reduce costs, the pedal would need to be manufactured on alarger scale to justify the cost of a J-tag emulator, something which the team could notjustify for this project since it was meant for a single client. The team plans to continueupdating the software for their own use, since the effects can be continually updated andrefined to achieve certain sounds, even
(x,y,z). The force in one cable (ex. AB) is known. The objective is to determine the tension forces in other cables (ex. AC, AD) required to maintain equilibrium. Once they have determined the tension values and equilibrium conditions, they must input their solutions using interactive pressure plates positioned in another part of the room. Each pressure plate represents a specific value of the solution, and stepping on the correct plates in the proper order will unlock the door to the next room. Figure 3: Room 3Future PlansWe plan to collect data to assess the effectiveness of our gamified Statics escape room. Theprimary method will involve in-game metrics like
goals and the collaborative nature of two Career Readiness modules were integrated into the coursethe planned activities. Since engineering problems often as extra-credit opportunities on the Blackboard site. Theserequire collective problem-solving and clear communication modules, developed by our institution’s Center for Careeramong team members, integrating these skills into the Readiness and Life Skills, include the Career & Self-curriculum helps students develop essential professional Development module and the Networking and Elevator Pitchbehaviors early in their education. The course structure, which module. Upon completing both modules, students earn oneincludes weekly team-based problem
What industry experience do you have? And what industry past industry experiences knowledge could you pass onto your students? Questions about professor’s How did you know you wanted to be a professor? current teaching career Questions about professor’s Why you became a professor, what cool research or projects current teaching career youve (sic) been apart of Questions about professor’s What made you chose your career path? How did it change general career and life path- from your original plans post college? way Questions about professor’s Are you a PE? If so, what is that process like? general career and life path- way Questions about the specific What is the best way to succeed in this class? Would you course
. 2 Each gesture is defined by a set of conditions for the angles between specific fingers. Forexample, a gesture for "thumbs up" might involve specific angles between the thumb, index finger,and palm, while a "peace sign" could be recognized by the relative angles of the index and middlefingers. The system compares real-time values from the MediaPipe Hands output with thesepredefined angle thresholds to identify the gesture. Once a gesture is identified, the corresponding drone command is triggered by the mainfunction. This step is performed using a drone command in the Bitcraze library. A laptop webcamis currently being used for this system for stability and accuracy, a camera from one of the dronesis planned to be used in the future
performance. • Better Grades Due to Fewer Errors: o 58% of students strongly believed, and 16% believed that using MathCAD helped them avoid calculation errors and improve their grades. • Use in Other Courses: o After learning MathCAD in the MCS course, 74% of students used it in other classes (either multiple or individual courses). • Future Use: o 79% of students planned to use MathCAD in future studies or work, demonstrating a high level of satisfaction with the software and a desire to continue using it in professional practice. • Overall Satisfaction: o 74% of students liked the application of MathCAD in the class, while only 5
reasoning tends to be vastlydifferent. Mastering the material is frequently a means to an end and not an end in itself.Demonstration of mastery leads to job opportunities and paychecks. The student can be forgivenfor this; this focus has been part of the university's marketing plan since first contact with thestudent by advertising job placement rates, median mid-career salaries, and return on investmentmetrics. While the underlying motivation differs for precisely why learning the material isvaluable, at least the agreement remains.Then, it is incumbent on the instructor to assess the amount of learning that has occurred.Modern neuroscience tells us that learning is a change in the synaptic wiring of the brain.Connections are made or strengthened
thedatabase will also be provided.Task 3: Summary and Results Presentation: The project results will be communicated with theCT DOT. In addition, a research plan involving a long-range duration of data (e.g. over 10years) combined with other pertinent databases (e.g. environment) will be proposed andsubmitted to the CT DOT applying for external funding. The student will contribute to writingthis proposal and other research paper.The students will walk through each stage of this analytics pipeline that enables them to collect,clean, understand, model, and report data analyses. By paying close attention to data patterns,the stories behind outliers, relationships among data sets, and the external factors that may haveaffected the data, it is expected
students with the opportunity to independentlyconceptualize, build, and refine a circuit design to meet specified constraints, mimickingreal-world engineering tasks.Figure 2: The iterative lab progression framework emphasizes planning, simulation, and build-ing/testing phases, supported by analysis and communication.Data CollectionQuantitative DataThe ISE measurement tool developed by Carberry, Gerber, and Martin was utilized to collectself-reported quantitative data at both the beginning and end of the course [7]. This instrumentconsists of 29 items that comprise eight factors as shown in Table 2. Please refer to Appendix Afor the full measurement instrument. Exploratory factor analysis for this instrument showed factorloadings ranging from 0.715
concentratedpresentation. This raises important questions about how publication venues might need to evolve toaccommodate different types of RtD work.The contrast between Shroyer's planned RtD approach and Coppola and Turns’ retrospectiveapplication demonstrates RtD's versatility. While Shroyer explicitly embraced RtD during her designefforts, Coppola and Turns retrospectively applied RtD frameworks to understand existing practice.This suggests RtD's value not just for new design work but for making sense of establishededucational practices. Despite these different approaches, both studies culminated in frameworks -Shroyer's framework for configuring a seeing-across-projects experience and Coppola's temporalframework - showing a specific way that RtD can create
children to evaluate the application's effectiveness in a real- world setting. Then, structured trials to collect data on the impact of the application on children's speech development. After collecting the data, we plan to refine the application to improve it. By leveraging the capabilities of AR and AI, this application aims to provide a novel, engaging, and effective tool for speech therapy, supporting the early development of speech skills in children with speech delay. 5 Conclusion This work in progress highlights the potential of using AR and AI to create innovative tools for speech therapy. By making speech practice interactive and fun, the application aims to motivate children with speech
evaluated one LLM (Claude 3.7 Sonnet). Future work shouldtest more models, explore hybrid human-AI feedback systems, and investigate long-term impactson learning. We also plan to develop better tools to help students interpret and apply LLMsuggestions effectively.References[1] Fagbohun O, Iduwe NP, Abdullahi M, Ifaturoti A, Nwanna OM. Beyond TraditionalAssessment: Exploring the Impact of Large Language Models on Grading Practices. J Artif IntellMach Learn & Data Sci 2024, 2(1), 1-8. DOI: doi.org/10.51219/JAIMLD/oluwole-fagbohun/19[2] Morris, W., Holmes, L., Choi, J.S. et al. Automated Scoring of Constructed Response Items inMath Assessment Using Large Language Models. Int J Artif Intell Educ (2024).https://doi.org/10.1007/s40593-024-00418-w[3
performed better than those who had traditionalassessments. This study is considered a work in progress, with plans for future investigations thatwill provide a more comprehensive analysis using both quantitative and qualitative methods tofurther explore the subject.Data collection and analysis were conducted using Qualtrics software to distribute the surveys,with the responses being imported into Excel for processing. A visual coding system was used tocategorize the open-ended responses, assigning colors to reflect the different tones of thestudents' opinions, such as green for positive, yellow for moderately positive, and red fornegative answers [51]. From this categorization, key ideas were identified to reflect the generalattitudes of students
suggestions. The majority of studentshad no suggestions, but among those who did, common themes included the following-flexibility in selecting the group members instead of having the instructor assign them randomly,incorporating peer grading to ensure fair assessment and accountability, and offering extra creditactivities to help strengthen group bonds.Conclusion In my experience, class family model has proven to be an effective strategy for fosteringcollaboration, improving learning outcomes, and building lasting relationships among students.While challenges like uneven work distribution can arise, they can be mitigated through clearguidelines and proactive communication. Based on these experiences, I plan to refine theapproach further and
and encourage integration into coursework. The evaluation plan willincorporate pre- and post-implementation surveys, grade distribution analysis, and focus groupsto assess changes in teaching practices, student understanding, and engagement.The anticipated outcomes include an increase in faculty adoption of lab models, measuredthrough survey results, and the development of at least three actionable recommendations forimproving the models and instructional materials. Additionally, we expect to see improvementsin student performance, as evaluated through grade distribution analysis in courses utilizing thelab resources. While exact percentages cannot be determined at this stage, the impact will bequantitatively assessed during and after
) database, for manufacturing operations. Theresults developed through this project potentially can be used in the “Manufacturing Automation”course to teach students concepts related to the MTConnect.The research team plans the future research as follows. 1) To further develop the software withdata analytics capabilities for other applications such as quality control, system monitoring, etc. 2)To scale up the current system from a single machine to a fleet of machines such as a combinationadditive and subtractive manufacturing machines. Ideally, the team visions to have all the CNCmachines and 3D printers in the School machine shop to be integrated using MTConnect and/orOPC UA standards. Such an integration provides a prototype of “Smart Factory
, this is not always thecase for design classes, where assessments typically involve creating reports orgenerating numerical data, tasks that can be easily verified. In the context ofmechanical design, the focus is on producing a feasible design plan and often afunctional prototype, tasks that require creativity and problem-solving rather thansimple replication.While many students show strong interest in mechanical design, they oftenstruggle to acquire the necessary knowledge to achieve their design goals. Theadvanced capabilities of artificial intelligence, such as organizing ideas andgenerating concepts, can help overcome these challenges, especially during theconceptual phase. Additionally, AI features like grammar correction and
processes [2]. For this reason, it isalso important to carefully design hands-on activities to promote a positive interest andmotivation in students to perform the activity and hence to learn from it [3] [4]. Teachingmodules can be created to increase student learning in STEM concepts, using activities thatstudents can enjoy while learning mathematical reasoning [5], suggesting that this can be used topromote conceptual learning and retention. Moreover, well-planned workshops can also helpimprove scientific skills, promoting a better understanding of STEM concepts [6]. This workhypothesizes that teaching modules that include hands-on activities can enhance conceptretention in the BME field, by allowing students to learn and retain the concepts to
Components: During the six-week summer experience, RET participants work on manufacturingresearch projects in collaboration with undergraduate and graduate students and under the mentorship of facultymembers. Below are three sample projects:Physical Manufacturing Simulation: This project involves developing hands-on simulation activities for thedifferent manufacturing paradigms (craft production, mass production, mass customization, and personalizedproduction). Teachers develop the instructions for the simulations, run the simulation with participants during thesummer and refine the simulation based on feedback from the participants, and then take back these lesson plans totheir classrooms. Figure 1 shows sample visual instructions from the craft
they cited several barriers to making desiredchanges, including lack of time for making and implementing course revisions, drastically variedcourse types, and challenging student characteristics, such as disengagement, absenteeism, andprioritizing grades over learning. Thus, some faculty cited examples of having been forced tokeep their instructional practices the same, though they planned to improve them in the future.Min stated, I want to ask students for each topic how well they know, like you need to know how much you know […] I think it's one of the teachings in the workshop, is recognize how much you know already. And then you know how to put the effort in, I think. So basically, now you have all the concept map
(APICS), the Transformation Team on the American Society of Engineering Education (ASEE), the Research Committee of Intermodal Freight Transport committee, Freight Transportation Planning and Logistics committee of Transportation Research Board (TRB) among others. Dr. Sarder chaired the Industrial & Systems Engineering Annual Conference in 2016 and 2017, and the Engineering Lean Six Sigma Conference (ELSS) in 2013. ©American Society for Engineering Education, 2025NSF RET: Empowering STEM Educators and Revitalizing Manufacturing in the U.S. MidwestAbstract The National Science Foundation (NSF) award (2206952) establishes a new ResearchExperiences for Teachers (RET
students, especially in large introductorycourses, which is where many underrepresented students who planned to major in engineeringdecide to leave the major. BME programs may be particularly susceptible to losing students inprerequisite coursework, as students must take prerequisite courses in the typical pre-engineeringareas, such as math and physics, in addition to extensive coursework in chemistry and biology.ResultsWe distributed a survey to 85 BME students and received 40 responses, including upper-divisionstudents already in our major and lower-division pre-major students who are currently enrolledin an introductory prerequisite course in a different department. Of these, 10 volunteered to sharerepresentative examples of their notes, and 4
courses.However, these skills are cognitively difficult, frustrating, and are sometimes not clearly linked tostudents’ perceptions of engineering[1], [2]. Self-efficacy and expectancy-value theories havebeen linked student persistence, achievement, and future plans[3]. Among engineering students,computing skills are a strong influencer of confidence and self-efficacy [4]. Prior research withstudents learning to program in required first-year university courses demonstrated that baselinemotivation for learning – specifically, their self-efficacy and utility value – varied significantly.One recent study demonstrates that students in computationally-focused majors have higher self-efficacy [5]. A multi-year explanatory mixed-methods project set out to
thinking aregiven by Figure 2. These dimensions include (1) an ability to produce multiple solutions to aproblem, (2) an ability to develop action plans, (3) self-confidence, (4) optimism, (5) persistence,(6) team-oriented thinking, and (7) future focus. 95.0% 90.0% 85.0% 80.0% 75.0% 2022 2023 2024 Yr 1 cohort Yr 2 cohort Figure 2 - Percentages of students from program years 1 and 2 reporting an association of "Strongly Agree" or"Agree", or "A lot" or "A
Fall 2021 100 3.310 0.646 570 3.216 0.605 1.412 0.158 Fall 2022 106 3.164 0.602 606 3.118 0.628 0.699 0.485 Fall 2023 114 3.285 0.563 529 3.170 0.594 1.891 0.059ConclusionsThe increase in sense of belonging among our LI students is promising. Student interviews mayprovide some insight into the reasons behind this. In addition, we plan to use data on GPA andretention statistics to investigate RQ2: Is sense of belonging and/or grit correlated with retentionand/or academic performance among our students?Future work also includes analysis of the longitudinal data collected from our scholars to addressand RQ3
. Thoseparticipants reported that they initially joined the NRT planning to complete a master’s degree;however, due to their positive experience with the UK NRT, particularly with transdisciplinaryresearch, they decided to pursue a doctorate.4. ResultsA total of five themes emerged from the analysis of the 10 interviews, namely: 1) the UK NRTinfluenced participants to change their education goals; 2) several UK NRT componentsprepared trainees for the job search and the workplace; 3) graduates cite the UK NRT as the mostinfluential factor behind their career successes and aspirations; and 4) the perspectives of hiringmanagers and supervisors on NRT graduates.4.1 The NRT influenced participants to change their education goalsMost trainees learned about the UK
career plans. Similarly, with respect to Engineering Identity, a 13-item surveycalled the Engineering Identity Scale (EIS) taken from Godwin, 2016 [3] was administered to 26 studentsin the Fall of 2022.Preliminary Findings and DiscussionDepicted below in Table 1 are percentages of students (N = 33) who either “agree” or “strongly agree”with various survey statements. As is evident from these responses, the S-STEM scholarship isinstrumental to help students reduce their job hours, and presumably enabling them to spend more time ontheir studies. Similarly, S-STEM scholarship has helped them in their professional preparation anddevelopment and in community building.Another survey indicates how the S-STEM program has benefitted them in other ways
, “Understanding by Design,” 2006, Pearson: Merrill PrenticeHall.[5] D. Fadda and O. Rios, “Online Computer Aided Design Class,” 126th ASEE AnnualConference and Exposition, June 15-19, 2019, Tampa, Florida, USA[6] D. Fadda, R. Vinay, and O. Rios, “Online Development Plan for an Applied ThermodynamicsCourse,” Proceedings of the ASME International Mechanical Engineering Congress andExposition, October 29-November 2, 2023, New Orleans, LA, USA, IMECE2023- 112320[7] NCEES Fundamentals of Engineering (FE) Exam, https://ncees.org/exams/fe-exam/[8] L. Blank and A. Tarquin, Basics of Engineering Economy, 3rd Edition, McGraw Hill, 2021,ISBN10: 1259875989, ISBN13: 9781259875984[9] Honorlock Proctoring, https://honorlock.com/[10] ChatGPT, https://openai.com/chatgpt