byelectricians. One day maybe they will, especially if the focus is on processes to be automated,not just the instructions found in the PLC’s instruction set.5 PLC programming has the addedburden of writing programs that not only control a process but that are accessible as much aspossible by those who maintain that process. A good program is one that controls a process andcan be maintained. The engineer is not the one most responsible in the long run for the successof the process. That is the responsibility of the maintenance team and process and instrumentengineering staff.The syllabus of the earlier Electrical Engineering Course is included in Appendix I. The syllabusof this course is included in Appendix II. Several comments from students on the
Learning and Individual Identity using Cognitive Load TheoryAbstractCognitive Load Theory (CLT) is a foundational framework in educational psychology thatexplains how learners process and manage information. As engineering programs face growingchallenges in student retention and engagement, CLT offers an evidence-based approach toenhance learning efficiency. This paper introduces key concepts essential to applying CLTeffectively and proposes a promising research direction for extending its use to also supportgreater inclusion in engineering education. Research shows that students from minoritizedpopulations in engineering experience more stress and anxiety than their peers from dominantgroups. To date, most studies have approached this issue from
experience, highlighting its focus on real-world applications, intercultural collaboration,and technical writing—elements they felt were lacking in their previous coursework. Participantsnoted that collaborating with peers from diverse backgrounds allowed them to gain differentperspectives, problem-solving approaches, and insights into various cultural norms. Instructorsreinforced the importance of equipping students with practical skills and tools relevant toreal-world engineering contexts, promoting a pragmatic approach to problem-solving [F2, F3,F5].DiscussionThe interviews provide valuable insights into student experiences within the global engineeringcourse. The identified themes and suggested improvements can inform future iterations of
Paper ID #47284FORE: A Student-Centered Framework for Accessible Robotics Educationthrough Simulation and Interactive LearningHossein Jamali, University of Nevada, Reno Hossein Jamali is a PhD student at the University of Nevada, Reno, focusing on Human-Computer Interaction, Artificial Intelligence, and Cloud Computing. His research encompasses a range of interdisciplinary topics, including AI-driven recommender systems and resource management algorithms. Hossein has authored several peer-reviewed papers in leading conferences and journals and has actively contributed to advancing AI and optimization techniques. His work
of Practice (CoP) that connects them with peers, e4usa teammembers, university faculty, and practicing engineers throughout the year. CoP sessions are heldvirtually bi-weekly in two different formats. Once with the coaches in a small peer group andanother time with the entire cohort. These sessions encourage teachers to share classroomexperiences, exchange lesson plans, and engage in discussions. e4usa team also providesongoing support through a learning management platform addressing curriculum-relatedquestions and facilitating collaboration and professional growth within the teaching community.PersonasTo achieve its goals, e4usa has treated the curriculum design process as a Learning Engineering(LE) [8] design challenge. The team has, at
student approaches a project with a visionary, high- level perspective or a detail-oriented mindset. 2. Leadership Role: Determines whether a student prefers to take on a leadership role or follow others. 3. Leadership Preference: Identifies whether a student favors a single designated leader or a shared leadership structure. 4. Commitment Level: Assesses the amount of time a student is willing to dedicate to the project. 5. Hands-On Skills: Measures a student’s prior experience with hands-on tasks and practical applications.To evaluate team dynamics, we utilized the CATME peer teamwork dimension surveys, whichare based on a comprehensive research-driven methodology [10]. These surveys require trainingfor
were able to complete all activities due to absences. The class meets 5 days per weekfor 90 minutes each day. Algebra 1A is an almost exclusively freshman class consisting of mainly low achievingmath students who were deemed to require extra time to master concepts. Those passing Algebra 1A move on to Table 1: High School Standards encoded using Scratch Programming. Teaching Standards Application in Scratch Hacker name: use variables to learn how to 6.EE.B.6 Use variables to represent numbers and write expressions use the various blocks in Scratch to create a when
visualizations. 2. To focus students on thinking critically about what statistical parameters indicate in a particular problem. 3. To facilitate students’ ability to read and respond precisely to an engineering-related problem. To develop our approach and content, we drew from literature across multiple fields, including information and data literacy pedagogy, technical writing in engineering, argumentation, and data visualization. The resulting data literacy module comprises assignments paired with applied engineering problems derived from the existing scientific literature and real-world datasets.We deployed the new assignments in Fall 2024. While we have confidence in the revised module, werecognize that some elements of the assignments
faculty cope with traditional engineering education sowe can target more effective ways of teaching and learning engineering to retain these groupsand make our problem solving and solution generation more effective. Using Collaborative Autoethnography to write a counterstoryIn this section, we discuss how we intend to use collaborative autoethnography and variouspotential elicitation techniques to write our counter-story. The first stage of our study will focuson the experiences of professors and students in engineering education.Autoethnography is the study of culture through autobiography. It lends itself well to studyingthe experiences of minoritized individuals while also providing a space for catharsis [24].Collaborative
curriculum.They then developed a method to build new courses and a plan for putting together the contentand projects for the new first- and second-year environmental engineering courses. Thesecourses were first implemented in the 2023-2024 academic year and a description of theoutcomes, content, projects, and lessons learned follows in Section 3.0.3.0 IPBC DiscussionOne overarching goal of implementing project-based courses in the first and second yearof the curriculum is to motivate students with diverse skills and backgrounds to continue topursue environmental engineering. Too often, students with less experience in technical subjects,such as calculus or chemistry, fall behind their peers in courses and may begin to feel as ifengineering is “not for
along with. I like to think that I can work for anyone and with anyone after my time playing football at Mines.Students also identified ways that their peers’ FOK contributed to the success of the capstoneproject. One of the welding students both appreciated the potential for the robotic welder to maketheir work more efficient and came to see that “everyone sees things differently and everyonecan bring a good idea to the table.” An MME student emphasized commonality, writing,“Communication between engineers and technicians can be challenging but shouldn’t. We seemto have more in common with each other than not and are working towards common goals justfrom different points of view/contributions.” Another student similarly emphasized
the challengesof engaging students without the presence of teachers and peers to encourage, motivate, andsupport them [5]. While there is little research on effective pedagogies for engaging students inonline labs, a recent study suggests that providing support for students before and during thehands-on projects, clear instructions about the experiment and set-up, and pre-structuring of labactivities, lead to successful student engagement with the activity [6]. Moreover, an importantgoal of Discover UC San Diego is to build confidence and self-efficacy, especially infirst-generation high school students, for college success. As defined by [7], “self-efficacy refersto an individual’s subjective conviction in his or her capabilities to perform
are not permitted to seek anyadditional donated funding. An example project for a faculty-driven project is the“WhiteBoardBot” used in the first year of implementing this model. For this project, studentswere tasked with designing a robot that could automatically write and erase text on a whiteboardbased on user inputs. This project was selected because it meets the requirements for amechatronics engineering project. It requires a combination of mechanical, electrical, computerengineering, and control system design to solve a real-world challenge. Students must design andselect appropriate mechanical components, sensors, and actuators. The system also needed tocontain a user-friendly graphical user interface. Safey and professionalism were
scope, espe-cially in the final semester, many noted that the Capstone provided essential real-world experience.However, there were concerns about uneven workloads among team members, with some suggest-ing more structured peer evaluations to improve team dynamics.For continuous improvement, the survey highlighted the importance of integrating more technol-ogy, such as Building Information Modeling (BIM) and AI design tools, into the course. Somesurvey responses also suggested a two-semester sequence to allow more time for the design pro-cess and client feedback. Instructors recommended enhancing project management and collabora-tion tools to reflect industry practices better. Overall, the Capstone course was praised for bridgingthe gap between
Low-Resource Languages Visualization Tools Adaptive Learning Linguistics Evaluation Metrics Pre- and Post-Course Assessments Peer Review System Surveys and Interviews Social Sciences Figure 1: Framework for NLP Education: An Integrative Approach.3.2 Framework Design for NLP Education3.2.1 Objective:The initial phase involves developing an educational structure that balances theoretical knowledge withinteractive
Minnesota, Dulut ©American Society for Engineering Education, 2025 Experiences in Piloting a Program for Implementing High Impact Practices with Limited ResourcesAbstractIt is known that low-income, first-generation, and underrepresented students in engineering andcomputer science have rates of retention and graduation that lag behind their peers. A growingbody of research has identified a range of high-impact practices and exemplar programs thathave been successful in improving outcomes for these at-risk populations. Some areas that thesepractices seek to address include: financial need, academic preparation, sense of community,confidence, and professional identity. The challenge of
: last week of semester● Final Report: end of semester ● In year 2, 3 continuing and 11 new projects were awardedProgram DesignRationale Program feature ● In a similar, university-wide program ● Projects must be led by undergraduate open to “all”, faculty largely were students, graduate students, postdocs, awardees or staff ● Students, staff, and postdocs may not ● Proposal template, office hours, have proposal writing experience information session ● Equity in review process ● Scoring rubric shared with template ● Sufficient budget for events and student ● Budget
Internet of Things, and engineering education. She has published in several peer-reviewed conferences and journals and has been a program committee member at several conferences. ©American Society for Engineering Education, 2025 Active Learning and Specifications Grading for Undergraduate Algorithms and Data Structures coursesAbstractAlgorithms and Data Structures are core concepts taught in all computing undergraduateprograms. It is important to ensure that student activities in the class lay the foundation andprepare them for future courses and career. In addition, assessment should allow for students todevelop a growth mindset. The course may benefit with a grading system can be
Polytechnic Institute Tanisha Gupta is currently pursuing a Bachelor of Science degree in Biomedical Engineering at Worcester Polytechnic Institute (WPI). She has worked on several projects, including her Interactive Qualifying Project in collaboration with Heidelberg Instruments Nano AG, which focused on demystifying nanofabrication and developing educational materials for beginners in nanoscience. On campus, Tanisha serves as Vice President of WPI’s chapter of the Society of Women Engineers, is a Global Ambassador for the Global Experience Office and works as a Peer Learning Assistant for Introduction to Biomechanics.Dr. Emine Cagin, Heidelberg Instruments Nano AG Dr. Emine Cagin is the CTO of Heidelberg Instruments Nano
programs to help CUNY faculty better understand the expectations of funding agencies and write more competitive proposals. Her intensive NSF CAREER and Grants 101 bootcamps, which are open to CUNY faculty across all its colleges, have supported 21 NSF CAREER awards, and prepared over 150 faculty to submit and win awards. Linda was part of the planning committee and a presenter for NSF’s Engineering CAREER workshops for 3 years and organized a CUNY-wide Convergence Workshop in 2018 as well as Broader Impacts presentations. Linda has a PhD in Educational Psychology from the University of Illinois at Urbana-Champaign; her postdoc, through the University of Arizona, focused on art and technoscience collaborations. She
aboutone month collaborating with one or two team members to further develop their thoughts on EJIin a team project. Thanks to its OpenRoads module, this course is assigned to a classroom withcomputers. Students are given about fifteen minutes at the end of the two case study lectures tosearch online, develop their short essay outlines, and ask any questions they may have. This firstEJI assignment is promptly graded and returned to students, offering plenty of time andnecessary feedback for students to work on their team projects. Students are encouraged tocollaborate with peers they know and are interested in similar topics. After teams are officiallyconfirmed, students work outside class while the course moves on to highway geometric designand
chose to group themby careers, such as Data Analyst, Biostatistician, and Environmental Consultant – and they canalso be broken down into sub-competencies. Additionally, each competency or sub-competencycan have different levels of achievement. For example, a Communication competency could bepart of an Interpersonal Skills category (in a program where other categories might includeLeadership Skills and Analytical Skills) and have sub-competencies for Listening, Presenting,and Writing that all have levels of expertise such as Beginner, Intermediate, and Master. Thisflexibility allows for units to customize the student experience to best fit their objectives.Because the development of professional competencies can take place in the classroom as
], looked at engineering project-work aimed at improving language skills,combining engineering students in the UK with peers in Gaza, an area which is facingdaunting politico-humanitarian challenges. This research looks again at issues relating to thelanguage of learning and teaching in the UK and Gaza, but this time focuses specifically onthe experiences of female engineering faculty. A ‘Story Circles’ methodology [2] wasadopted, in combination with follow-up focus groups. In these safe spaces, practicessurrounding the use of English in engineering were explored, allowing academics to compareapproaches and experiences. Though the study has been interrupted by the current war,results to date suggest that there are many more similarities than
Cooper is Professor and Associate Head for Graduate Programs in the Department of Physics at the University of Illinois at Urbana-Champaign. He received his B.S. in Physics from the University of Virginia in 1982, his Ph.D. in Physics from the University of Illinois in 1988, and he was a postdoctoral research associate at AT&T Bell Laboratories from 1988-1990. His research interests include optical spectroscopic studies of novel magnetic and superconducting materials at high pressures, high magnetic fields, and low temperatures. Since 2013, he has co-taught (with Celia Elliott) a graduate-level technical writing course each spring to physics and engineering graduate students.Dr. Lynford Goddard, University of Illinois
-evaluated bystudents within their teams throughout the course, a process tracked through weekly billable hoursubmissions detailing time allocation across project components. The final grade was determinedby a final report (100 points), a final presentation/testing component (50 points), and thesubmission of a final peer evaluation and cumulative billable hours.The final report aimed to guide the reader through the problem-solving process the group used tocreate the final project. This report evaluation was based on effective communication, reportcomposition and presentation (title page, table of contents, figures and tables, formatting, andgrammar) and on course objectives. Reports had to clearly define design criteria, projectdevelopment
, researchassistance, automated grading, writing coach, make lesson plans, help to make progressreports, also helping the teachers how to teach a subject [76], [77], [78]. Although GenAI is apowerful technology in education, it still needs to be used with extra caution to ensure usingit safely and responsibly. For example, in [70], the article discusses the application ofArtificial Intelligence in online learning and distance education, based on a systematic reviewof empirical studies. The application of AI in these settings has been shown to enhance thelearning experience by personalizing the content, facilitating peer interaction, and providingreal-time feedback. Nevertheless, it also warns of the ethical and legal implications ofwidespread AI use in
engineering seminar, facilitated bytheir Academic Advisor and an Engineering Peer Mentor. These seminars provide generalinformation on the transition to college, study skills, co-curricular opportunities, and provide anoverview of the various engineering fields. This seminar is a group advising experience thatprovides weekly contact with advisors and peer mentors. Advising is about so much more thanregistration for classes and is designed to assist first-year and continuing student advisees, todevelop and implement plans for achieving educational and vocational goals so that students maybe directed and successful in their second college year and beyond.Academic Advisors in the First-Year Engineering Program are full-time professionals withgraduate
in the first year of an engineering curriculum reinforcestheir foundational nature. As first-year students enter university with a wide range ofbackgrounds, it can be difficult to create an immersive and engaging introductory experience thatreinforces these foundational skills without relying on a deeper understanding of technicalmaterial. In fact, for some students, introductory projects with roots in highly technical materialmay be alienating, damaging to student confidence, and ultimately detrimental to measures ofacademic success and degree persistence. It has been shown that student confidence in their ownacademic ability is affected by self and peer performance [1],[2] and the first year of a student’suniversity experience impacts
were transcribed and then analyzed usingthematic analysis.The results of this study provide insights into students’ perceptions on ClearMind with respect toTAM’s core constructs: perceived usefulness, perceived ease of use, and social influence. Theparticipants found ClearMind both useful and easy to use, and were willing to continue using itand recommending it to their peers. They also identified some opportunities for improvementsuch as fostering positive emotions and better organizing the content.Our user study results imply that ClearMind is an accessible yet helpful mental health resourcefor students. This highlights ClearMind’s potential for broader adoption. Future work involves alarge-scale quantitative study to assess ClearMind’s
as phasechange, phase transition temperature, crystallization, and ice nucleation, in existing universitycourses. We educated a diverse group of students and exposed them to state-of-the-art techniquesearly in their academic careers to consider pursuing a STEM career and higher education. Asoutreach, we also trained graduate students, as well as students from an adjacent communitycollege (CC). The developed curricular activities provided students with experience inexperimentation, data analysis, and technical writing. Based on the ABET assessment of learningoutcomes, we assessed our goals to educate students on 1) using multidisciplinary science,engineering, and mathematical skills to evaluate and address complex issues emergent in