; 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
development,and curriculum [1]. This EM approach to curriculum is one tool for supporting thedevelopment of sociotechnical engineers—preparing students to solve global engineeringproblems utilizing the KEEN EM framework’s 3Cs: curiosity, connections and creating value.When coupled with engineering thought and action, EM is expressed through collaboration andcommunication and founded on character. The sociotechnical engineer uses both technical andnon-technical (e.g. collaboration and communication) skills in order to work effectively. Theengineering capstone course, as a culminating experience for students preparing to embark ontheir professional careers, serves as an ideal site to further train students to to transfertechnicalknowledge gained from
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
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
pedagogical approach in a Rigid Body Dynamics course at a Hispanic-servinginstitution. Since the course has a demanding curriculum, the strategy was to reuse homework andlecture problems on exams. In this regard, step-by-step homework solutions were concurrentlyprovided for each assignment. The objective was to 1) offer a comprehensive resource for studentsto fully grasp each course concept; 2) promote student success; 3) improve passing rates in thecourse: and 4) minimize the risk of students violating the honor code. The primary focus of thestudy was to test the effect of incorporating homework problems or lecture notes problems intoeach of the four in-class exams throughout the semester. This was done to assess whether suchintegration could
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
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
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
other engineering disciplines at K-State, is the inclusion of a two-semesterjunior design sequence – BME 490/1, Undergraduate BME Design Experience I/II (JuniorDesign I and Junior Design II). These courses have been taught since their first offering in Fall2020 and Spring 2021. The goal for these courses was to ease students into completely open-ended engineering design – the structure of senior design. At the same time, the instructor aimedto equip students with skillsets that would make them hirable and be more successful in seniordesign given it wouldn’t be the first time they were using such tools. Junior Design I (1-credithour) involved scripted laboratory exercises centered around LabVIEW, MATLAB, and Excel(automation with Macros). The
publications/presentations at technical and engineering education conferences. Areas of expertise and research interest include, Deformation & Failure Mechanisms, Materials Science, Fracture Mechanics, Process-Structure-Property Relationships, Finite Element Stress Analysis Modeling & Failure Analysis, ASME BPV Code Sec VIII Div. 1 & 2, API 579/ASME FFS-1 Code, Materials Testing and Engineering Education. Professionally registered engineer in the State of Texas (PE). ©American Society for Engineering Education, 2025 Teaching Conflict Management for TeamworkThis is a Work in Progress paper.IntroductionTeamwork ability, a highly recognized soft skill in the engineering
– JSIMAbstractUnderstanding the behavior of electrical circuits poses significant challenges for today’sexperiential learners. Traditional teaching methods that rely on static circuit diagrams andmanual calculations often fail to engage students who thrive on hands-on learning, programming,and simulation—an approach increasingly prioritized in modern engineering programs [1]–[3].To address this gap, we introduce JSIM, a real-time circuit simulation tool designed to lowercognitive barriers in circuit analysis while enhancing practical interfacing with hardware throughphysical breadboarding and low-level programming. Developed exclusively in C++ with anoriginal codebase and optimized for embedded systems, JSIM requires less than 100 KB ofstorage and achieves
Education, 2025 Incorporating Industry-Sponsored Technical Writing into Engineering LaboratoriesIntroductionLaboratories are critical courses within engineering curricula because they allow students tobridge the gaps between conceptual knowledge and practical applications. For example, thematerials testing laboratories in mechanical engineering programs allow students to find materialproperties and safely test components before finalizing designs [1]. In 2022, ABET releasedupdated criteria for accredited programs from 2023-2024. Under criterion 3, ABET notes thatstudents should be able to solve complex problems, apply design to produce solutions,effectively communicate with a range of audiences
capacity for continued learning are amongthose identified by employers as necessary for success in the 21st century global workenvironment [1-6]. Engineering program accrediting bodies worldwide recognize this importanceand ABET has required evidence of student mastery of related student learning outcomes for aquarter century [7-13]. Yet, faculty in engineering programs continue to struggle to define, teachand measure these professional skills in their efforts to generate accurate and useful data forcourse and program-level assessment purposes. [14-19]The Engineering Professional Skills Assessment (EPSA) is the only direct method in theliterature that can be used to teach and measure student performance of five engineeringprofessional skills
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
developed through coaching. However, we find that students can developsimilar skills through participation in research. We report on student mindset development froma sustained collaborative autoethnographic (CAE) study of student culture and mathematicalmodeling. Our results suggest two benefits: 1. Engaging in reflective practice through CAE canlead to both enhanced metacognition and advanced learning (benefiting students), 2. Engaging insustained CAE creates ample opportunities to represent student voices, sharpening ourunderstanding of the research object (benefiting researchers). Our results are of interest toengineering educators seeking research methods that simultaneously promote student mindsetdevelopment and authentically represent
progress: How a Cornerstone Course Impacts Self-efficacy and EntrepreneurshipIntroductionEngineers have emerged as pivotal players in technological innovation in the past decadeby founding or actively participating in entrepreneurial ventures [1]. Consequently, policyinitiatives have increasingly supported integrating entrepreneurship programs withinengineering education [2]. Economic shifts and an evolving job market for graduates haveheightened the demand for engineers with an entrepreneurial mindset, which is defined asthe cognitive adaptability that preceeds entrepreneurial behaviors for acting onopportunities, learning from failures, and creating economic and social value throughproblem-solving [6]. Such a mindset
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
formed with the most common responses being early 62-64, middle 65-67, or late 68-70). They were then asked to refine their arguments, and the projectculminated with an in-class debate.The authors found that this problem-based learning exercise was very beneficial in motivatingthe students to better learn and apply the course material. And, as a bonus, the instructors had amuch better idea as to when to start their social security benefits!IntroductionMost engineering programs require that students take a course in engineering economics as wellas ethics. Previous authors [1-3] have introduced the idea of using Social Security as a case studyto teach economics in graduate programs. Their work, as they hoped, has sparked us to alsopursue a Social
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
., 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
on social media and other textual data. ©American Society for Engineering Education, 2025Using Embeddings to Uncover the Similarity Between Engineering Education Doctoral Programs and Academic Workforce OpportunitiesIntroduction and BackgroundThis is a full methods paper. Artificial intelligence (AI) has recently emerged as a powerful toolto conduct sophisticated analyses on different types of data. In education research, there has beena call for novel research that utilizes generative AI to demonstrate its efficacy and accuracy [1, p.29]. Additionally, generative AI holds significant potential in the field of engineering education,particularly in research. The community has urged scholars to document best
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
. ©American Society for Engineering Education, 2025 WIP: Confirmatory Factor Analysis of Instruments to Measure Connections and Creating Value in First-Year Engineering StudentsIntroductionTo effectively tackle global challenges and meet industry demands, it is crucial for today'sengineering graduates to possess both technical expertise and professional skill competencies [1]- [5]. In response to this need, the Kern Entrepreneurial Engineering Network (KEEN) hasidentified the 3Cs (Curiosity, Connections and Creating Value) for supporting the developmentof an Entrepreneurial Mindset (EM) in engineering [6] - [8]. Cultivating an EM, and associatedbehaviors, with first-year engineering students is one positive step towards fostering
indicated improved satisfaction with course organization andperceived relevance of the material.By offering a detailed case study, this paper provides practical insights into how structuredcourse design and alignment can enhance the effectiveness of teaching methods and assessmentsin electrical engineering education. The findings suggest that this approach can be successfullyapplied to other courses to improve student outcomes and enrich the learning experience.IntroductionConstructive alignment is a vital framework for designing curriculum and assessments that alignwith course learning outcomes, introduced by Biggs and Tang [1]. This approach emphasizessynchronizing teaching methods, activities, and assessments with course objectives to