designed toallow for students to revise and resubmit their programming tasks, have formative assessments totest their understanding, and focus on students mastering skills rather than chasing after points. Inaddition, active learning is a great way to provide hands-on engagement with the materials, whichmight prepare students better for future courses and career. This paper describes the author’sexperience in designing activities and specifications grading for an undergraduate core algorithmsand data structures course.IntroductionAlgorithms and data structure design are fundamental concepts in the computing disciplines. It islisted as an element of computing knowledge 1 2 in the ACM recommended curricula. A basicunderstanding of core knowledge in
: Problem scoping, engineering education, higher education, qualitative study.IntroductionEducating engineers begins with problem scoping—gathering data to define issues and developethical, effective solutions [1]. Research on problem scoping is limited, particularly in Easterncountries, where engineering education systems differ, making findings from Western studiesless applicable. The primary method, verbal protocol analysis (VPA), involves analyzing think-aloud interviews to compare processes between students and experts [2]. While insightful, VPAis time-intensive and unsuitable for large-scale studies. Effective training in problem scopingequips students to address technical challenges while considering stakeholder needs, societalbenefits, and
and service members (SVSM) are a unique yet understudied group thatcomprises substantial numbers of those historically underrepresented in engineering based ontheir race, ethnicity, gender, ability, or sex [1-2]. Notably, approximately 62% of veterans arefirst generation students [3]. This diversity of backgrounds and experiences, in combination withtechnical interests and skills, maturity and life experience, and leadership and teamwork training,make SVSM ideal candidates for supporting engineering education in meeting workforcedemands well into the 21st century [4].Project Goals and Work PlanThis National Science Foundation (NSF) Faculty Early Career Development Program(CAREER)aims to advance full participation of SVSM within engineering
primary teaching interests include the medical device design process in particular solid modeling and prototyping skills, while her primary research background is neuromuscular control and physical rehabilitation science.Amy L Kimball, The University of Iowa ©American Society for Engineering Education, 2025Work in Progress: Enhancing Biomedical Engineering Education throughCollaboration with Physical TherapyINTRODUCTIONPhysical therapy is growing with the increased aging population and focus on preventativemedicine to promote health and wellness [1]. The market for wearables (e.g. smart watches, VRheadsets) is expected to grow from $28.2 billion in 2021 to $66.9 billion in 2030 [2]. Thewearables industry
-efficient computing. ©American Society for Engineering Education, 2025 ECR: BCSER: Are Females Better at Debugging Circuits?IntroductionIn the semiconductor industry, debugging is sometimes called “The Schedule Killer” due to itsunpredictable and costly nature [1]. Some electronics engineers spend up to 44% of their time ondebugging tasks [2], yet this industry-critical skill is frequently omitted from undergraduatecurricula [3], [4]. Instead, students are often expected to develop debugging skills indirectlythrough projects and labs without targeted training. These challenges make teaching debugging a“million-dollar” question [5] that could improve undergraduate student outcomes and increaseworkplace
informing academic discussions on STEM diversity,this study guides future research and institutional strategies aimed at attracting more women toSTEM fields, improving their career entry and advancement, and fostering a more inclusiveprofessional pipeline.Keywords: STEM Women, Gender Equity, Gender Bias, Career Dilemmas, Inclusive STEMEducation Strategies, Mentorship and Policy ReformIntroductionThe Science, Technology, Engineering, and Mathematics (STEM) industry has experiencedsignificant growth over the past few decades, driven by economic development, technologicaladvancements, and the increasing demand for innovation [1]. Despite this expansion, genderdisparities persist, with women remaining significantly underrepresented across STEM fields
; Exposition, Montreal, Quebec, Canada, June 22 - 25, 2025 “Engineering Educators Bringing the World Together” Exploring Student and Program Related Outcomes of the BioFoundry Initiative at Tennessee Tech Dipendra Wagle1, Andrea Arce-Trigatti 2, Pedro E. Arce 1, and J. Robby Sanders 1 1 Department of Chemical Engineering, Tennessee Tech University, Cookeville, TN 2 Department of Curriculum and Instruction, Tennessee Tech University, Cookeville, TNAbstractScholarship has highlighted that sustainability principles can often be more emphasized inengineering curriculum to make a larger impression on student learning and have long-term effectswith respect to how it is used in industry and
of Technology Grant for Educational Reform and Research Activity (AY2024). Her research interests include: (1) Impacts and potential benefits of including humanities components in science and engineering degree programs (2) Innovative methods of assessment in science and engineering education, especially in the context of remote learning, hybrid courses, and collaborative international programs (3) Solving systematic issues that impact the effectiveness of science and engineering education programs, in both in-person and remote learning contexts. In recent years she has been a presenter at the following international conferences: World Educational Research Association (WERA): WERA Conference 2019, 2022, 2023, 2024
modality.IntroductionEngineering programs are challenged, via the ABET criteria, to teach, improve, and assess thecommunication skills of students. [1] Unlike technical, quantitative, engineering content,communication does not have one correct answer and thus can be a challenge to assess forengineering educators. Faculty are trained that rubrics are one major tool to allow for fairassessment of almost any type of assignment, however overly defined rubrics can stymiecreativity in communication assignments. [2]–[8] Single point rubrics are a rubric model used toprovide more qualitative feedback from the grader while still clearly conveying the learningobjectives assessed. Here we document the application of single point rubrics in a series ofEnvironmental Engineering
whilemaking something tangible [1]. These spaces have been introduced in Higher EducationInstitutions (HEIs) due to their ties with engineering activities, their potential for facilitatingprototyping, and the development of technical and non-technical skills experienced by users ofthese spaces [1], [2], [3]. It is estimated that there are currently over 1000 active makerspacesworldwide [4], with over 41% of state colleges and universities in the US having or beinginterested in having a makerspace [5]. Many researchers have already investigated the impacts ofmaking in student learning, finding links to disciplinary knowledge and professional skills [6].However, the existing literature on the impacts of making at a larger scale is scarce, which
STEM K-16. He is currently researching on best practices iKimberlee Ann Swisher ©American Society for Engineering Education, 2025Middle School Teachers Professional Development for AI Instruction through ImageSTEAM Summer Workshops: The Georgia Experience John Mativo1, Ramana Pidaparti1 1 University of Georgia, Athens GA 30602, USA and Kimberley Swisher2 and Suren Jayasurya2 2 Arizona State University, Phoenix, AZ, 30602, USA AbstractThrough an NSF funded ITEST
minoritized students’ experience with engineeringclassroom assessments. Historically, the field of engineering is confronted with the issue ofunderrepresentation and the continual achievement gaps between minoritized students andmajority students in engineering education (e.g., between women and men students and raciallyminoritized and racial majority students, etc.; [1], [2], [3]). Given the amount of emphasis ofengineering education practitioners place on test scores when evaluating student performance, itis necessary for researchers to examine how engineering assessments such as exams contribute tothe consistent achievement gap between different groups of students. Moreover, it is vital forresearchers to abandon the deficit-based mindset when
, is ending in September 2025 at Worcester Polytechnic Institute (WPI), aprivate, small, STEM, predominantly white institution (PWI). The program provides an assets-based framework of wrap-around support for 20 high-achieving, low-income students fromWorcester, MA, a racially and ethnically diverse [1], high-poverty [2], local urban area, with thegoal of supporting graduates to become STEM professionals. This program supports a portion ofthe cost of on-campus housing and is paired with a commitment from WPI to support thedemonstrated financial need with scholarships in completing 4-year baccalaureate degrees. Allstudents in this program are 1st-generation college students. The 1st cohort of 10 participants wasrecruited for Fall 2020 entry, and
question.In this paper, several case studies are examined to explore the role of ChatGPT in generatingembedded systems solutions for lab practices. These case studies are based on actual studentproject assignments in a sequence of embedded systems courses, including 1 - Introduction toMicroprocessors, 2 - Embedded Systems, and 3 - Real-Time Operating Systems. Our studies havefound that though ChatGPT is a valuable tool in embedded systems teaching, it cannot replace thefoundational knowledge essential for mastering embedded systems. Practical experience and adeep understanding of embedded systems’ intricacies are still essential for success in this field. Inthe era of ChatGPT, instructors teaching embedded systems design should incorporate pop
a complete evidence-based practice paper. Engineering education aims to equipstudents with essential skills including intentional learning, curiosity, and effective collaboration[1], [2], [3] in addition to extensive training in mathematics, sciences, and engineering-specifictopics. The goal is to provide a strong technical foundation and introduce essential skills forprofessional and personal development by integrating core courses with concepts fromengineering education [2]. These essential skills help students address pressing 21st-centurychallenges, such as sustainability [4], [5], as they navigate the growing complexities of modernindustries in their careers. Curiosity, intentional learning and effective collaboration go
report entitled, “Environmental Engineering for the 21st Century: AddressingGrand Challenges,” which highlighted five technical areas where environmental engineers werepoised to make significant contributions. Educating the next generation of environmentalengineers was included as a sixth challenge. According to a search of available online databases,including SCOPUS, PubMed, and Google Scholar, between 2019 and June 2024, a total of 89articles appearing in the peer reviewed scientific literature have cited the EnvironmentalEngineering: Grand Challenges report. The two-fold purpose of this article includes: 1) using anintegrative review format to analyze the 22 articles (of 89 total) that focus on education; and 2)highlighting the relationship
into traditional classification models, including Naïve Bayes, K-Nearest Neighbors,and Logistic Regression. The performance of the hybrid model is evaluated in a pass/failclassification scenario. Experimental results show that our proposed CNN-based hybridclassification model outperforms the standalone traditional model in terms of classificationaccuracy. This study introduces an innovative approach in the educational domain,demonstrating that CNNs can provide a more robust and reliable method for predicting studentperformance, especially when predicting binary results like pass or fail.1. IntroductionEducational institutions view their students as valuable assets and are committed to fosteringtheir academic success. Academic performance is a
wood, polymers, and sugarare inherently combustible. Fine Figure 1. Graphical illustration of the fire triangleparticles, typically under 400 μm, are and the dust explosion pentagon.more prone to ignition and producemore severe explosions. Uniform dispersion of the dust is critical to forming a combustible cloud,while confinement affects the pressure generated during the explosion. The dust concentrationmust fall within a specific range to sustain combustion: concentrations that are too low lacksufficient fuel, while concentrations that are too high limit oxygen availability. Humidity andmoisture significantly reduce ignition potential, and in some cases, prevent explosions entirely.Additionally, each dust type has a
., top and bottom bars, stirrups) and their placement, supporting their answers with annotatedphotos. Following the assembly and discussion, students disassembled the materials and createdsummary videos of their lab activities.To assess the effectiveness of this new lab, we conducted a comparative analysis using 10multiple-choice questions from Exam 3, consistent across both years. Questions 1-5 coveredreinforced concrete structures (treatment), while questions 6-10 addressed wood structures(control). Results showed significant improvement in reinforced concrete scores for theinstructor-consistent group from 2023 to 2024, with stable wood structure scores, suggesting thelab's effectiveness in enhancing learning specifically for reinforced
feedback.Overall, design review positively impacted their design work (80.8% positive response) andpositively changed the way the students view themselves as engineers (84% positive response).1 IntroductionME 347 is a third-year undergraduate design course for mechanical engineers which incorporatestheory and design with CAD (SolidWorks). The course gives them the most significant designexperience so far in the curriculum, and it is an important pre-requisite course for the firstsemester of senior design. Students take an earlier course, ME 250, which introduces the designprocess and the basics of CAD modeling (simple geometry and drawings) and incorporatesbuilding a physical model using traditional machine shop techniques and 3-D printers. While
FERPAviolations, a local instance of an LLM was utilized. Different scenarios were run, where thescenarios changed how the LLM was prompted and rated responses affected subsequentassessments.For this study, three questions are considered. 1. Is there a difference between the ratings provided by the instructor and those provided in the scenarios? 2. Is there agreement between the ratings provided by the instructor and those provided in the scenarios? 3. Is there a time savings created by using the LLM compared against the instructor?BackgroundAI has been around for decades and its continuance and improvements are expected. A briefhistory into AI’s incorporation into Higher Education is introduced along with a discussion of thecomponents
-situated laboratories in the context of electrochemistry by engaging students inproductive engineering practice.NomenclatureI, Current the battery is cycled at (A)V+, Volume of electrolyte in the posolyte tank (m3)V–, Volume of electrolyte in the negolyte tank (m3)F, Faraday’s constant (96,485 C mol–1)b, column vector containing the constant reaction terms (mol m–3 s–1)K, matrix containing rate constants for species decay and crossover in the system (mol m–3 s–1)𝐶, Column vector containing all bulk concentration (mol m–3)𝐶𝐴∞,+ , Bulk concentration of species A in the positive half-cell (mol m–3) ∞,+𝐶𝐴+ , Bulk concentration of species A+ in the positive half-cell (mol m–3)𝐶𝐵∞,− , Bulk concentration of species B in the positive half-cell
-STEM Majors while Closing Equity Gaps: Mentoring in a Multi-Disciplinary S-STEM ProgramAbstractThe S-STEM supported program ACCESS in STEM started at the University of Washington Tacoma as a Track 1 grant in 2018 andcontinued as a Track 2 grant in 2022. Since its inception, it has supported 124 students over 7 cohorts. Program scholars receive fullscholarships for their first two years, and partial scholarships for their third and fourth years. Students can participate in a summerbridge precalculus or research experience course, and project-based Introduction to Engineering or Introduction to Research coursesin their first year. Individual faculty mentoring, quarterly Success in STEM seminar courses, and an
Engineering from UT Austin (2021). Her research interests center around the experiences of marginalized students in U.S. higher education institutions. ©American Society for Engineering Education, 2025 CAREER: Responsive Support Structures for Marginalized Students in Engineering - Insights from Year 5IntroductionUndergraduate engineering in the United States is characterized by many opportunities,demands, and obstacles within and beyond the classroom [1]. Opportunities refers to thingsstudents can access to improve their overall success in engineering, demands refers to typicalhardship expected of engineering (e.g., curricular difficulty, financial hardship, etc.), andobstacles refer to
(CA) framework, which emphasizes how novices learnexpert problem-solving techniques [1].In this paper we seek to address the research question: How are graduate students perceivingsupport from their academic and non-academic mentors? To assess graduate students’perceptions of their academic mentors, students completed the Engineering Identity Inventory(EII), which examines their identities as scientists, engineers, and researchers, and gathers dataon advisor relationships [2]. The EII was administered during both the Fall 2023 and Fall 2024semesters. To assess graduate students’ perceptions of their non-academic mentors, a modifiedversion of the Maastricht Clinical Teaching Questionnaire (MCTQ) [3] was administered in theFall 2024
theformation of researcher identity in doctoral students, which is the focus of this research5-6.This research uses three primary methods (journey mapping, survey, and interviews) within thefield of UX to investigate the longitudinal formation of researcher identity in two cohorts ofdoctoral students in an engineering department at a large state university, which is R1 under theCarnegie Classification: students enrolled in a traditionally structured on campus program andthose enrolled in an online program. Summary of Key Study Findings to DateThe following subsections summarize at a high level some of the key findings of the study todate, organized by research question. As shown in Table 1, between June 2022 and December2024
resilient systems, networks & graphs, and sustainable design and is currently an associate editor for ASME’s Journal of Mechanical Design. ©American Society for Engineering Education, 2025 IUSE: Analyzing Nestedness Variability for Bipartite Makerspace Tool-Tool Projection ModelsIntroduction & Background Academic engineering makerspaces give students a controlled environment to put theirtheoretical knowledge to practical use. As such, many universities are adding these spaces to theircampuses and integrating them into their curricula [1]. Due to their rising popularity and perceivedimportance, it is important to further understand how best to create and manage these
©American Society for Engineering Education, 2025 Capstone Project: Development of FDM 3D Printer Tool for Industrial RobotThis paper (poster) presents the organization of the course, as well as the goals and outcomes ofthe project as they relate to the course and program objectives. The paper also provides a detailedoverview of the first-phase prototypes designed by undergraduate students in an engineeringtechnology (ET) capstone course. Opportunities for future development and next steps are alsodiscussed.IntroductionWhile additive manufacturing, such as polymer 3D printing, has seen a recent surge in popularityin industrial robotics [1-3], there is a considerable gap in the literature for practitioners
LevelsAbstractThis research is evaluating the art of designing a course to allow students to explore theircreativity while honing their technical design skills. This is done by analyzing and comparing thedevelopment and learning of two cohorts in a computer-numerical-control (CNC) manufacturingcourse. The cohorts analyzed in this work are: (1) bachelor’s degree seeking students majoring inMechanical and Aerospace Engineering or Industrial & Systems Engineering who complete thecourse over 6 weeks and (2) high school students who complete the course over 4 days.Alongside using qualitative based research methods, student perception of personal learningprogression as well as the intuitiveness of creative problem-solving is analyzed. Results showthat
comprehension is revealed by the type of errors that are made when confrontedwith a new problem that is too dissimilar from the pool of example problems, they have becomefamiliar with.IntroductionFree-body diagrams (FBD) are very significant for solving statics problems, their importancecannot be overstated. Similarly, vector addition triangles, schematics, visual representations arevital for understanding and solving a statics problem successfully. Spatial visualization skills(SVS) are often necessary for developing high levels of competence in accurately representing aproblem or drawing a accurate FBD [1]. Without these SVS skills, students might purely rely ontheir memory or procedural mastery of certain topics. As stated in the literature SVS