withfaculty members to evaluate teaching capacity and technical requirements Kumar and Smith [14]and Liu and Watson [15]. We specifically examined the feasibility of integrating expert lectures,site visits, and collaborative projects within existing time constraints.Strategy development and validationFinally, we developed and validated enhancement strategies through a multi-step process.Proposed modifications were evaluated against successful curriculum transformation casesdocumented in recent literature Park et al. [19] and Rodriguez and Chen [22]. Each enhancementstrategy was assessed based on three key criteria: implementation complexity, resourcerequirements, and expected learning outcomes. The validation process included preliminaryfeedback from
' sense of belonging within the engineering community, which isequally important for success. The engineering faculty at McLennan Community Collegerecently procured a space on campus and modest financial support to establish an engineeringworkshop, complete with basic hand tools, work benches, 3D printers, safety equipment, and asmall study area. This study examines the impact of launching a new engineering-specificworkshop on community college engineering students' self-efficacy. The analysis will rely onsurvey responses from students enrolled in the Fall 2024 Introduction to Engineering cohort.First, students completed a survey assessing their prior experience with tools, workshops, andhands-on engineering projects, along with the 14-question
havesuccessfully secured co-ops and internships. Through these experiences, they havestrengthened their professional skills and enhanced their job readiness.2. S-STEM Project BackgroundThe S-STEM project funded by NSF aims to improve the retention, graduation, andemployability of low-income academically talented students. The project has alreadygraduated three students who successfully completed their BS CSE degrees. The projectcurrently has 10 students, and 8 of them are ready to seek their co-ops or internships. Allthe S-STEM students are Pell-eligible; 50% of them are female and 30% are Hispanic. For students from low-income backgrounds, their educational journeys often di>ersignificantly from those of their wealthier peers [1, 2]. Beyond facing
and large language models, computervision has emerged as a rapidly growing field within artificial intelligence. Computer visioninvolves the use of algorithms to analyze visual stimuli, mimicking our ability to perceive theenvironment around us through vision. This technology has driven advancements across multipleindustries, including applications in the medical field, agricultural production, and autonomousvehicles [1]. Its broad range of applications has significantly increased demand, positioning thefield for substantial projected growth. However, undergraduate students in college and universityinstitutions nationwide lack the adequate experience and skills needed to fill the labor demand. Upon entering university, the student
courseAbstractThis paper presents an innovative educational approach used in a sophomore systemsengineering course, where LEGO Mindstorms robots are integrated to accelerate theunderstanding of complex systems engineering concepts. While hands-on learning tools likeLEGO Mindstorms are often used in engineering education, our approach uniquely emphasizesthe unpredictability and complexity inherent in real-world systems engineering. Rather thanfocusing solely on technology or project completion, we incorporate controlled disruptionsduring exercises, such as modifying project requirements, changing team compositions, orremoving key components from the kits. These disruptions simulate dynamic environments,requiring students to adapt, manage resource limitations
identification problems(i.e., input-output) for challenging CE problems [3]. This approach is particularly desirable in thecase of complex infrastructure projects with multiple interdependent components. Successfulsystem identification relies on the availability of abundant data for training algorithms such asartificial neural networks. Understanding data structures and the systematic storage andclassification of data, particularly in the context of advanced data analytics/science methods arecrucial skillsets that will be in high demand for CE professionals in the very near future.Despite these emerging trends, at present, CE engineering education largely follows adeterministic physics-based approach, often intentionally ignoring variability
excessive hardship not necessary to complete engineering (e.g., isolation,discrimination, etc.).The exact nature of these opportunities and obstacles differs across demographic identities [2],[3], [4] and institution types [5], [6], [7]. In our project, identities that are relevant toopportunities and obstacles include students who are women, Black, Latiné, Asian, international,first generation, and/or who work. We refer to these students, or students who face obstacles inengineering, as marginalized. Opportunities and obstacles for these groups also vary byinstitution type. In our project, we interacted with students from the following institution types:Primarily White Institutions, HBCUS, HSIs, public, private, small, medium, and large, R1s
createpositive impacts on people’s lives?” encourages students to examine both the benefits andchallenges of drone technology, addressing ethical dilemmas that arise in real-worldapplications. Students explored topics such as federal drone laws, the Sky-of-Privacy-Things(SoPT), cybersecurity, privacy, and ethical issues. They also participated in online groupdiscussions (e.g., What specific programming techniques can be used to prevent and overcomethe privacy and security challenges associated with drone technology?), programming projects,simulation analyses, and class discussions on visualization tools. In addition to lectures, studentsparticipated in inquiry-based learning through assessments outside of class.Assessment MethodsThe course used three
Paper ID #49344Bridging Theory and Practice: A Case Study in Engineering Design EducationMs. Joanna Joseph, The University of Arizona ©American Society for Engineering Education, 2025Bridging Theory and Practice: A Case Study in Engineering Design EducationAbstractThis paper discusses the student preference with respect to learning material and modality ofinstruction in an upper-level engineering course. This project was conducted by assessing thecourse curriculum from a pedagogical perspective, surveying students on usage of courseresources, and determining VARK modalities of each student. The concept of learning styles hasbeen
participants in the project were ableto realize their new curriculum modules using existing software or classroom technology, here wefocus on those teachers whose designs required a novel digital artifact, such as a new webapplication with specific functionality, customized content to work with an existing tool, or a newpiece of standalone software. By providing the developer support to produce these digitalartifacts, we empower teacher participants to embed CS content into potentially challengingclassroom contexts that are resistant to drop-in, ”one-size-fits-all” integration solutions. Usingthis approach, teachers can create more thoughtful and robust CS curriculum modules that bettercomplement their particular needs.This initiative promotes
ofmechatronics and control systems courses, where students develop software for automation androbotics [2]. In Japan, C++ plays a significant role in manufacturing and automotive applications,with universities integrating industry projects into coursework [3]. In India, where manyengineering students specialize in software development, C++ is taught alongside data structuresand algorithms, helping students build strong computational problem-solving skills applicable toengineering simulations [4]. These examples highlight C++’s continued relevance across globalengineering disciplines and how this course can be tailored to regional industry needs.In a globalized engineering environment, critical thinking and adaptable problem-solvingstrategies are
curiosity,skill acquisition, and deep understanding. Students are rarely shown how calculus can be acreative, powerful tool for solving real-world engineering problems. Instead, they areburdened by repetitive manual computations that fail to connect with the complex,technology-driven tasks they will face in their careers. Moreover, outdated assessmentmethods, such as high-stakes exams, reinforce this disconnect, often producing medianscores below 40% and fostering frustration rather than confidence.This experimental course aims to reframe calculus education to emphasize not justtheoretical principles but their practical applications. Traditional timed exams have beenmostly replaced with three major projects that focus on solving real-world
mathematics disciplines. This paper shares our early insights and seeksfeedback on our experimentation with teaching strategies such as problem-based learning in asecond-year numerical methods course designed for engineering students.With our primary goal of contextualized and application-based learning, we aim to create anenriched environment that equips students with the skills to effectively apply various numericalmethods as engineering tools for solving complex real-world problems. Emphasizing practicalapplications, we have reviewed existing best practices, restructured the entire course, developednew materials and collaborative projects, and diversified assessments to better meet learnerneeds prior to implementation. In Fall 2024, we implemented
filaments. These modules have been shared with Science,Technology, Engineering, and Math (STEM) educators via a training workshop and an open-access YouTube channel, providing educators and students with the tools to advance sustainablepractices in engineering. This paper outlines the development and implementation of thesemodules, highlighting their potential to redefine STEM education and inspire the next generationof engineers.1. BackgroundProject R2, titled "Redesigning and Remanufacturing the Entrepreneurial Future," established atransformative framework for advancing education in design and manufacturing [1]. With astrong emphasis on innovation and sustainability, the project developed three entrepreneurial,concise, and impactful Open
includes the following components: 1) in-lecture discussionsof specific healthcare disparities and inequities that exist that relate to the organ system beingdiscussed, 2) discussion questions designed to help students learn to socially contextualizetechnical problems in BME, 3) three equity and ethics assignments, and 4) two team projects: a)one asking teams to design a brain computer interface and address any potential disparities orsocietal impacts that may results and b) one asking teams to develop and engaging andinformative infographic about a specific healthcare disparity. A sequential mixed-methods pre-and post-semester approach employing quantitative and qualitative methods was used to assess teeffectiveness of this curriculum. Results
Engineering Education, 2025 WIP: Experimentation in control and communication methods for neuron-based adaptable robotics Michael Johnson-Moore, Syed Hasib Akhter Faruqui and Iftekhar Ibne Basith Department of Engineering Technology, Sam Houston State University, Huntsville, TXABSTRACTThis paper discusses the partial development of a modular robotic arm built around a physicalbidirectional tree-like architecture inspired by artificial neural network (ANN), intended for use inexperimentation with control and communication methods. This project when completed willprovide students with foundation and experience in developing modular robotics and ANNcontroller with the long-tern goal of developing smart prostheses
©American Society for Engineering Education, 2025 Shifting Charity Mindsets to Justice Mindsets: An Evaluation of One Reflective Pedagogical Technique Libby Osgood, Faculty of Sustainable Design Engineering Analiya Benny, Faculty of Sustainable Design Engineering Reilly Sullivan, Faculty of Science, Department of Biology Inge Dorsey, Faculty of Arts, Integrated Studies University of Prince Edward IslandAbstractThe applied nature of engineering design projects allow generative discussions about socialjustice topics related to students’ projects. Some design projects, such as service-learning orcommunity-engaged
integrative learning tool to introduce machine learning tofreshman engineering students. The labware that has been created is a web-supported andmobile-enabled cyber-learning tool, which allows their students to learn anywhere, anytime.Their labware is open source and open access to the public. The labware has two components: Apublic Google Site repository and a final project associated with website in a MATLAB basedprogramming course (a required course for all first-year undergraduate engineering students).Their Google Site has three sections: fundamental concepts of machine learning, modules ofdifferent machine learning algorithms, and real-world applications.[4]Arizona State UniversityAt the Arizona State University School of Electrical, Computer
Researchers’ Capacity to Identify and Address the Ethical Dimensionsof Their WorkIntroductionThis paper sketches the motivations for and nature of a workshop on research integrity/ethics thathas been designed for and will be delivered to practicing researchers. This workshop is part ofthe IREI (Innovative Research and Ethical Impact) project at [blinded for review], funded byNSF (National Science Foundation) Institutional Transformation grant #[blinded for review]through its ER2 (Ethical and Responsible Research) program. The motivations for this workshopinclude that while research institutions are required to provide research integrity training toresearchers supported by funding from the NSF, NIH, and other agencies, there is little evidencethat the
HMGroup LLP. In 2004, he earned his Master of Science degree in Engineering Systems Management. Later, he returned as a full time student and completed his Doctor of Philosophy in Industrial and Systems Engineering in 2012. Dr. Moya’s research interests include Queueing Theory, Optimization, Simulation, Applied Probability, Quality, and Supply Chain Management. Some of the areas applied in the research include, Homeland Security, Healthcare delivery, web-based decision support tools, systems engineering in healthcare and process improvements. Dr. Moya has been successful in obtaining research funding from DHS to complete border security research projects. Dr. Moya serves now as an Associate Professor in the
from any college involved in the pilot study.Section enrollments were set between 25 and 26 students to allow for personal attention and theability to make connections with peers, faculty and staff who share similar interests, majors orclasses.These FYS sections were led by a diverse group of eight engaging, inspirational and energeticfaculty. Moreover, it is expected that this college-wide shared experience will immerse studentsin a growing support network of friends and people to assist with questions and provide supportthroughout their studies. Some CECS programs also come back together again with advancedtechnical electives, shared minors and certifications, and multidisciplinary senior design andcapstone projects at the end of students
time in Australia working on The SILO Project, an integrative STEM education resource for primary students. Solina has continued this work to focus on the Ontario curriculum, and her goal is to continue to connect with and further inspire students’ interest in STEM learning.Dr. Rania Al-Hammoud, University of Waterloo Rania Al-Hammoud is an associate professor teaching stream and the current associate chair of undergraduate studies at the civil & environmental engineering department at university of waterloo. Dr. Al-Hammoud has a civil engineering background with research focusing on materials and the rehabilitation of reinforced concrete structures. She also has passion for engineering education and has
students’needs and aspirations as well as to explore experiential learning approaches to ethics trainingacross the curriculum. As part of our collaborative work, we developed a pedagogicalframework that approaches the IRB as a learning opportunity that is meaningful andtransformative. This framework addresses two major challenges each of us has encountered in ourundergraduate project advising: cultivating researcher identity and human impacts of research: 1. The first challenge is the tendency among students to shy away from building a strong sense of researcher identity in student projects that have research components. Whether involving ‘human subjects’ or not, most of our students often assume that research is a discovery of
instructions within a manual. In doing so,students will have to demonstrate a higher level of comprehension. Project based learning hasbeen proven by Fiteriani [4] to increase metacognitive thinking in students and can also lead tobetter comprehension of studied material than a control group. Metacognition is defined asinternal cognitive monitoring by Flavell [5] or simply thinking about internal thoughts. This self-reflective cognition can be greater achieved in a project setting where students are givenguidance and direction, but not necessarily the exact steps to completion. The metacognitiveapproach also applies to equipment, testing procedures, and technology used by the students inthe laboratory project.The purpose of this project is to aid
tools not only contributes to current projects, butpotentially helps in the development of future tools as well. This training should start at the mostformative steps; construction engineering and management programs must embrace this burdenof preparing its graduates for work in environments dominated by AI.The benefits of the integration of AI in construction practice have been enumerated by manyresearchers and even labeled as indisputable [1]. According to Regona et al. [2], the benefits ofthe use of AI include the prevention of cost overruns, improvements in safety, increasedefficiency in management of project plans, and growth of productivity on sites. They also statedthat the use of AI technologies has enhanced automated processes
novel capstonedesign projects derived from a summer clinical immersion experience [2], [3]. Przestrzelski, B.,et al., paired a clinical needs-finding immersion rotation with an internship at a technologytransfer office [4]. Pal, S., et al., reported on a program focused on Rehabilitation Engineeringand incorporated a Summer Immersion term for students between their 3rd and 4th years [5]. Byfar the most common method of connecting to engineering practice was the exercise of “needsfinding.” This function is an essential part of the Biodesign and innovation cycle, and we electedto focus our program development here, as well.In an effort to improve the impact of the “needs finding” exercise during clinical immersion,programs take a variety of
Engineering, Human-Computer Interaction, and Computer Science Education. Additionally, he is the CS Department Coordinator for Experiential Learning, where he leads several initiatives to enhance students’ learning through out-of-classroom experiences, including the CS Study Abroad program. Mohammed has 20+ years of experience in teaching university level courses, and he presented and conducted multiple talks and workshops in different countries. Among other courses, he taught: Software Engineering, Database Systems, Usability Engineering, and Software Project Management. ©American Society for Engineering Education, 2025 Senior Software Engineering Students’ Understanding of
help students understand the careertrajectories, challenges, efforts of the researchers behind the journal articles and technicalconcepts presented in class. Next, we collaborated with staff from a medical simulation centerwho helped students understand their needs in physiologically and anatomically relevant models.This led to an ideation assignment and an application-focused design project intended to helpmeet the needs of the simulation partners. Altogether with these course updates, we sought tounderstand how students engaged with these new elements designed to break down studentperceptions of what it takes to be an innovator and researcher in a relatively new field.Course Learning Objectives:In this course students will: • Apply
building, and team leadership, while also experiencing disciplinary orcross-disciplinary projects emulating workplace settings [3, 4]. These experiences providestudents with the skills necessary to “share a common goal, distribute workload based onexpertise, and allocate time and financial resources” as they will do in the workforce followinggraduation [5].Due to its widespread benefits, collaborative learning has been codified into the 2024 - 2025ABET Engineering Accreditation Criteria to ensure that future engineers can navigate the socialand interpersonal landscape of the engineering profession. The 2024 - 2025 ABET Criteria forAccrediting Engineering Programs requires engineering students to demonstrate “an ability tofunction effectively on a
years of our projectperiod, we collected comprehensive data from both instructors and 1000+ students (based onstudent online surveys) from three participating universities. Instructor data, gathered throughsemi-structured online interviews conducted twice during the project, captured their experiencesduring module development and implementation. Student data, collected through pre- and post-implementation online surveys each semester, included demographic information and bothLikert-scale and open-ended questions about their perceptions of data science and self-perceivedlearning of specific module topics (for detailed methodology, see [10], [11], [16], [17]). Ourprevious work explored instructor perspectives on this integration approach (see [10