[10, 13],particularly in manufacturing programs where iterative experimentation, physical manipulation ofequipment, and real-time data collection are essential [14–18].Among the emerging solutions for remote labs, simulation-based platforms have garneredattention for their wide accessibility and relatively low setup costs. These virtual environmentsenable students to practice and visualize engineering concepts without geographic or schedulingconstraints. However, although simulations can effectively reinforce theoretical knowledge, theyoften lack the physical realism and unpredictability of authentic lab work [19–23]. Updating orexpanding simulation environments to reflect changing industrial practices can also be expensiveand time-consuming
Architecture [15] • Prompt/Response (PR): Simple input-output model • Multi-Prompt/Automated Response (AR): Generated response gives additional prompts • Human in the LLM Loop (HiLL): Human guides task based on LLM responses • Retrieval Augmented Generation (RAG) systems [16, 17] with memory and retrieval capabilities 2. LLM Reasoning of Thought • Nothing of Thought (NoT): Baseline without reflection • Self-improved of Thought (SoT): Reflects and improves on the given prompt [18, 19] • Chain of Thought (CoT): Linear generations with reasoning [20] • Tree of Thought (ToT): Branching generation paths for alternatives [21] • Graph of Thought (GoT): Network of
conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] Austin Cory Bart, Dennis G. Kafura, Clifford A. Shaffer, and Eli Tilevich. Reconciling the promise and pragmatics of enhancing computing pedagogy with data science. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018, Baltimore, MD, USA, February 21-24, 2018, pages 1029–1034, 2018.[2] Jeffrey S. Saltz, Neil I. Dewar, and Robert Heckman. Key concepts for a data science ethics curriculum. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018, Baltimore, MD, USA, February 21-24, 2018, pages
Reynolds numbers, around 10, the flow is dominated by viscous forces, whichresults in smooth and symmetric streamlines that form a single, well-defined primary vortexfilling most of the cavity. As the Reynolds number increases, the influence of inertial forcesbecomes more pronounced, causing the streamlines to exhibit greater curvature and complexity.By the time the Reynolds number reaches 1000, secondary vortices emerge near the corners ofthe cavity, driven by flow separation and recirculation. This leads to a shift in the primary vortexand a more intricate flow structure. Additionally, the streamlines near the cavity walls becomedenser, reflecting sharper velocity gradients and indicating more dynamic interactions betweenthe flow structures as
in italics in 2025]. Groups of individuals do not always naturally come together into aneffectively functioning team. Tuckman’s [12] stages of team development recognizes that teamsoften experience a time of ‘storming’ when conflicts arise. Svensson et al. [13] noted that teamsshould explicitly work together to establish norms, but that “Providing a forum and process [tocreate norms] is neither enough to ensure reflective and equitable negotiations nor transparentand inclusive group norms” [p. 533]. Previous research has found that a variety of genderedissues occur within teams of engineering students, including a lack of respect, inclusion, andassignment of technical roles for female students [14]. It was unclear the extent to which
. Sophomore-year submissions exhibited an emerging understanding ofengineering design constraints and their application to distinct type-1 diabetes patients, as well asthe ability to create engineering schematics that accurately reflected the disease physiology andtreatment approach. By their junior year, students showed clear improvements in theirunderstanding of these engineering design parameters. Additionally, junior year studio studentswere able to apply mathematical equations to model type-1 diabetes and integrate these modelsinto their engineering designs. We are optimistic that our pedagogical approach will be highlyeffective in promoting innovative, engineering-design-based problem-solving approach amongour students. We are performing
. Real-time assessments,such as quizzes or activities during lectures, were perceived as less engaging by some students, likelybecause of the pressure to respond immediately and the lack of time for reflection (unless specificallybuilt into the assessment). Overall, scaffolded projects emerged as the most consistently favored format,while multimodal and real-time assessments showed potential but may require further refinement tomeet diverse student preferences.Students perceive that redesigned assessments significantly improve their critical thinking skills, witha mean rating of 4.27 and a standard deviation of 0.90. Additionally, they believe these assessmentsenhance their ability to apply course concepts to real-world situations, as reflected
orientations toward cultural differences based on the Intercultural Development Continuum (e.g., denial, minimization, acceptance), your score, and understanding how it leads to different thoughts about reducing our carbon footprint, recycling, response to weather changes, etc. 3 Form a more complex view of culture through metaphors, hidden rules, and cultural worldview frameworks; explore Country Navigator’s WorldPrism Profile and reflect on how this impacts your collaborating with people from different countries on energy. 4 Explore the way you deal with differences by developing your awareness of your own unexamined assumptions and better understand how to navigate cross
exams. Becauseproblems had to be solved in a group, there was better attendance. So, class participationimproved. Since the in-class problems were based on the current lecture, students paid moreattention to the lecture and asked more questions to clarify doubts. Solutions to the problems hadto be submitted by the end of the day, so it ensured students were better prepared for the nextlecture. This did not change in the Summer 24 semester when the course was offered online withthe intervention. D. Impact on Instructor Performance: self-reflectionBased on self-reflection, we feel that this model improved the instructor’s performance. Theinstructor planned for aligning the in-class problems, lectures and homework for the next weekand realigned
develop their skills through various levels. The major includes leadership in variousmethods from interpersonal, and self-reflection, to large teams to provide a multitude ofleadership opportunities in numerous arenas where the personal, interpersonal, team, andorganization (PITO) model is the framework for leadership. The model begins with personalleadership, builds interpersonal leadership, followed by team leadership, and culminates withorganizational leadership. Personal leadership focuses on mastery of primary duties, personalawareness, followership, and leading by example. Interpersonal leadership focuses on the abilityto coach others, effective communication, and develop planning skills. Team leadership ischaracterized by the ability to
, Alfa has served as a lecturer in Indonesia. Alfa is mainly interested in investigating the implementation of reflective activities in large classrooms and assessing how reflective activities affect student learning and academic performance. ©American Society for Engineering Education, 2025Integrating STEM Disciplines to Transform Indonesia’s Educational Landscape: An Evaluation of the ‘Merdeka Belajar’ Curriculum ImplementationExecutive SummaryThis paper evaluates Indonesia’s ‘Merdeka Belajar Kampus Merdeka’ (MBKM) curriculum,launched in 2019, which aims to transform the nation’s education system to meet 21st-century demands and prepare students for the Fourth Industrial Revolution
University at Raleigh Leah Granger is a postdoctoral researcher for Engineering Education and a course instructor for the Chemical and Biomolecular Engineering Department at North Carolina State University. ©American Society for Engineering Education, 2025 Hidden Trends in Data on Women in STEMIntroductionThe use of data to monitor progress in the recruitment and retention of underrepresentedpopulations in STEM encourages careful consideration of the manner in which data are groupedin the analysis. Trends present in the overall population of study – for example, college studentsenrolled in a STEM program – may not be an accurate reflection of trends in specificsubpopulations. Numerically
itsstrongest. Afternoon learning modules focused on communication, design, communityengagement, or similar topics that tend to be more active. As reflected in one programparticipant's experience: “I particularly enjoyed having a graduate student as our instructor forthe math section of the curriculum. Despite teaching Calculus, a topic we had no familiarity with,his instruction was fast-paced, but digestible, and tailored to high school students' learning style.The physics and math was challenging, but became more approachable due to the smaller cohortsize, allowing for lessons to be more individualized, ensuring that each student grasped topics tothe best of their ability. The thoughtfully structured schedule helped to reinforce
such detailed measurement is required.(ii) Measuring the Rotational Speed of Wheels or Motors: Although reflective sensors or Hall sensors can be used as alternatives, their implementation is complex, accuracy is often low, and programming is challenging. In mobile robots, accurately measuring the current speed is critical. Traditional teaching systems often assume that the command output to the DC motor directly reflects its state. However, due to load variations, this assumption is frequently inaccurate, making it difficult to determine the actual state of the motor. Additionally, in systems addressing environmental issues, such as those that adjust operations based on the rotational speed of wind or water
Simpson Diversity Index for all the groups calculated as 0.34, as seen in Table 1,reflecting limited representation across diversity dimensions such as gender, ethnicity, academicbackgrounds, and technical skills. For that Year 1 cohort, a sample size of 14 students, the lessthan half of the projects were able to be published.Table 1: Impact of Diversity of Project Groups and Percent of Projects PublishedThe low diversity within teams appeared to hinder collaboration and innovation, reducing thelikelihood of successful project completion at a publishable level.In the second year, with a sample size of 26, deliberate efforts to create more diverse teams resultedin a significant increase in the average Simpson Diversity Index to 0.88. These efforts
small fraction of this number is specifically inprofessional engineering fields [2]. One reason for the low numbers of Hispanics in engineeringmay be that 37% of Latinos, compared to 29% of White students, switch out of their major asundergraduates [3]. Therefore, it is critical to improve the educational experience in engineeringfor Hispanics to develop a future engineering workforce that reflects the diversity of the nation.UTRGV’s Center for Broadening Participation (CBP)UTRGV established the Center for Broadening Participation in Engineering (CBP) in Fall 2022,guided by the principle of "servingness" to empower Latinx students pursuing engineeringcareers [4,5]. The CBP aims to increase Hispanic participation in engineering by developing
percentage of A grades earned, but the 10:40 am and 11:45 am class times always had 50% or more of the students achieving an A. • The sections with the lowest grades, C or failing grades, were both 8:30 am sections and SP1-9:35 am sections. The other 9:35 am section had a decrease of 10% in the number of students that earned C grades.Based on these results for the final course grade, the design course had the highest percent of Agrades for the 9:35 am section, and the mechanics course had the highest percent of A grades forthe 10:40 am and 11:45 am sections. These times reflect students’ preferred times for students orthe times when their performance is highest during the day, as reflected in their course grades.While not
Pretest Discussion of responses None from pretest Engage Assigned interactive Guided groupwork on Reflection paper on how online videos on topic analysis on how topic could be applied in Newton’s laws were different situations applied to the situations in the video clips Explore Instructions for the in- Hands-on activity None class experiment that involving a DIY would happen engineering challenge Explain Gude questions assigned
Ascension Foundation, MeharryMedical College, local schools, and community organizations, strengthens the program’simplementation and evaluation. This partnership-driven approach reflects best practices incommunity-based participatory research, emphasizing collaboration as a means to addresssystemic inequities (Israel et al., 1998). By involving diverse partners, the program not onlybroadens its reach but also ensures cultural and contextual relevance, enhancing its impact onparticipating communities. The Ascension Foundation's commitment to #GOALS reflects its broader mission toreduce health disparities and promote equity. The program not only inspires young students toconsider careers in science and medicine but also lays the groundwork
programs, and industry collaborations, the table reflects adiverse range of approaches catering to different learning styles. The selection of these platformswas informed by their proven success in improving programming proficiency, fostering criticalthinking, and bridging the gap between academic learning and real-world applications.Codecademy and Khan Academy democratize access to resources, promoting inclusivity. GirlsWho Code and the University of Waterloo's co-op program bridge academia and industry,equipping students with practical skills. Flexible learning options from Udacity and personalizedsupport on Coursera enhance student retention. Gamification and interactive platforms likeCodeCombat foster engagement, while LeetCode aids in
groups discussed the use of visuals, noting that the technical articlesemployed graphs, charts, data visualizations, and layouts that conformed to the journalguidelines while the non-technical articles used more relatable and “catchy” images, such aspictures of scientific researchers. Overall, these articles served as models for students’ written assignments and the discussionshelped students reflect on how they might write differently for an expert audience and a generalaudience, building their knowledge of discourse communities, rhetorical aims, and specificgenres. Moreover, this activity can be considered a student-centered and inductive learningapproach as students discovered writing strategies by analyzing real-world examples
names, programCIP designations, and individual course offerings, illustrating the multi-disciplinary and uniquenature of construction education. This diversity is also a reflection of the different educationalapproaches. Although the ACCE and ABET accreditation standards would have a minimummathematics and physical science requirement, the accreditation process relates to the entirecurriculum for a degree program. It is assessed mainly by the learning outcomes rather than theindividual course offerings.As a part of the discussion, the following issues must be noted: • There is a clear difference between the construction engineering/technology programs and the construction management/science programs. The engineering/technology
for atotal of four evaluations. In these evaluations, each student rates each of their teammates (andthemselves) in six categories that reflect different aspects of teamwork. In addition, students arerequired to provide a pair of written comments for each of their teammates and themselves.After review by the instructors, the peer evaluations with the comments are released back to thestudents for their review. This entire process is supported by classroom instruction to help studentsunderstand how to give and receive peer feedbackAlthough these peer evaluations are used in grading, we believe that peer feedback and self-reflectionare the most beneficial aspects of the process for students. A critically important step in this processis
. Department of Defense (DoD) has significantly increased its budget requests in recentyears3, 4, 5, 6, 7, 8. A substantial portion of this funding is allocated to Research, Development,Testing, and Evaluation (RDT&E) to maintain the U.S. technological advantage. For FY2025,shown in Figure 1 (left), the DoD requested $849.8 billion8, an 18% increase compared toFY2020. During the same period, demonstrated in Figure 1 (right), the RDT&E budget rose by37.3%, making it the budget element with the greatest percentage increase and reflecting theDoD’s focus on addressing emerging threats. Figure 1. Budget Request (left) and Percentage Changes (right) between 2020 and 2025Although the DoD shares general budgetary information, specific details about
as water management, soil conservation, and crop andlivestock optimization. In addition, the program aims to provide students with the necessaryskills to enter the agricultural field and apply what they learned in real-world scenarios. Thisranges from working with producers on technology adoption to the creation of new innovations.The ET-AG Program also serves as a bridge between academia and the agricultural industry.Faculty are actively seeking to collaborate with professionals and entrepreneurs from diversesectors to design curriculum and projects that reflect real-world agricultural demands. Thesecollaborations expose students to practical applications of agricultural technology, fostering thecritical thinking and adaptability needed to
University of Texas at Arlington, Arlington, TX Copyright 2025, American Society for Engineering Education 2school graduates over the next 15 years. This growth will reflect a more diverse student population,with 75% of graduates being non-White. To address workforce needs, Texas has a few initiativesunder the Closing the Gaps exas's accountability system 2. The system utilizes the followingparameters1. Academic Achievement • Reading/Language Arts (RLA): Measures student performance on standardized tests in reading and language arts. • Mathematics: Assesses student performance on standardized math tests.2. Graduation Rates • Four-Year Graduation Rate: Tracks
given different term projects by the semester.For the term project in Fall 2022, custom-designed two-wheeled robot platforms were given to thestudents. A picture of the assembled and fabricated two-wheeled robot platforms is shown in Figure 1.The term projects were managed by groups. For instance, two students shared one robot unit. Figure 1. Custom-designed two-wheeled robot platforms for Fall 2022.As shown in the center of Figure 1, a Pi-Top 4 unit is mounted on the base of the 3D-printedtwo-wheeled robot platform. The two-wheeled robot platform includes a Camera, ultrasonic sensor,reflectance sensor, and gripper. Pictures of the selected tasks to perform for the term project in Fall2022 are shown in Figure 2.Figure 2 (A) shows
aid and others seeing it as a risk to independent critical thinking. This study also exploresstudents’ perspectives on integrating AI into future curricula and highlights their suggestions for itsresponsible and effective adoption in engineering education. IntroductionThe rapid advancements in artificial intelligence (AI) are reshaping the education sector. Engineeringeducation has long been at the forefront of adopting technological innovations, reflecting the field'sdynamic and solution-driven nature. AI tools such as ChatGPT, Copilot, Grammarly, Claude,Gemini, Wolfram Alpha are becoming indispensable to enhance learning experiences1,2. Fromautomated routine reminders to facilitating deeper
their level of agreement with STEM-related attitudinal statements usinga 5-point Likert scale: 1 = Strongly Disagree, 2 = Somewhat Disagree, 3 = Neither Agree norDisagree, 4 = Somewhat Agree, 5 = Strongly Agree.The items for each survey were organized into five key constructs: (1) Interest in STEM, (2) Self-Efficacy, (3) Collaboration, (4) Academic Engagement, and (5) Sense of Belonging. Each constructencompassed a set of targeted items designed to assess specific aspects of students’ experiences andattitudes. A content analysis was conducted to identify recurring themes within the survey questions.Items were then grouped into one of the five key construct categories that best reflected thesethemes, ensuring each question aligned with a
orqueries. Kostick-Quenet and Gerke [20] underscore the complete assignments, it becomes difficult for educators to assess a student's actual understanding and competency basedsignificance of assessing the real-world ramifications ofChatGPT and similar LLMs to mitigate the risk of any adverse on the submitted work. The work might be technically correctoutcomes arising from their misuse. Despite being and sophisticated, but it might not accurately reflect thegroundbreaking and revolutionary tools, ChatGPT and other student's actual skill level.LLMs have the potential to cause substantial harm if not Another most