collaborative cloud storage(Microsoft OneDrive and Google Drive) have transformed how engineers model and share theirwork [1, 2]. Digital tools offer enhanced capabilities, including 3D modeling, simulation, andreal-time collaboration, which are now integrated into many professional workflows. Research highlights the value of digital notebooks in education, emphasizing their abilityto provide students with interactive, hands-on learning experiences that extend traditionaldocumentation methods [3]. These tools also foster critical thinking and iterative design byallowing students to incorporate advanced features such as real-time feedback and collaborativeediting [2].Benefits and Limitations of Digital and Physical Notebooks Both physical
lack a graduate program in biomedical engineering. Through thisREU site, students were paired with faculty mentors to work on a range of individual, hypothesis-drivenprojects which apply or develop state-of-the-art biomedical imaging methods and techniques. Students alsoreceived a range of lectures on professional development topics, social activities, and the experienceculminated in each student submitted an abstract to present at the Biomedical Engineering Society AnnualMeeting [1-3]. A major goal of this program is to enhance students’ research skills, as well as to build asense of belongingness and improve retention within the field of biomedical engineering [4-6]. To evaluatestudents’ experience in our REU program, an external evaluator
learning behaviors. Table 1 describes these characteristics. We followed the DSMRIAnalysis Guide [16] to conduct a combined deductive-inductive analysis of course observations, students’ reflections,and interviews to identify emerging themes about students’ engagement in the DT process and indications for futuretransfer into future courses and experiences using a DSMRI qualitative evaluation.Table 1: Breakdown of students in the study with demographics and skill competencies Student # Team # Gender Course ability Course ability Other Presenting (Lab) (lecture) 1 8 male Medium Medium 3-person team 8 5
professional engineers, storytelling has beenfound to create shared language in design teams (Nguyen & Mougenot, 2022) and play a role indeveloping engineering identities (Korte, 2013). Additionally, storytelling has been explored as avaluable way to build engineering knowledge in educational contexts, including K-12 settings 1(Acosta & Haden, 2023; Adams, 2007; Author, 2022; Lee et al., 2023). Stories can represent therealities of engineering practice in ways that classroom learning activities cannot, therebyproviding students with authentic insights into the field (Gottschall, 2012; Rao et al., 2020).The stories in this study describe
assisting doctors in delicate surgeries.Thus coining the new 4Ds (Dull, Dirty, Dangerous, and Dear) of Robotics [1]. Robotics presents a versatile educational launchpad for STEM education because of itsinterdisciplinary nature. Starting with the LEGO Mindstorms launched in 1993 [2] , Roboticswas quickly absorbed into STEM education and soon became a member of the classrooms andhomes by the early 2000s. Robotics competitions like FIRST and FLL and other informaleducation avenues also helped kick off engagements in robotics for the youth [3], [4].Interestingly, all these interventions focused on the educators’ intentions of using robotics as atool to teach and nurture students’ interest in STEM, however, the students remained silent
on Learning and Teaching in Engineering at University of Michigan in 2003 and served as its Director for 12 years. ©American Society for Engineering Education, 2025 NSF IUSE: Project Update: Academic Success of STEM College Students with ADHD and the Role of Instructional PracticesAbstractThis NSF-funded Division of Undergraduate Education (DUE) Improving Undergraduate STEMEducation (IUSE) project involves three studies using mixed research methods to understand theacademic success of STEM college students with ADHD. Study 1 is a quantitative analysisexamining the relationships between pre-college factors, college experiences, and the academicsuccess of college students with ADHD. Study
modelsand iterated the process to create a functional unit. Such a system can be further modified toenable various configurations of heat exchanger internals that were unavailable in the physicallab. By enabling students to create, combine, and repeatedly use these modular systems, thisexperiential learning enables deeper engagement and personalized learning.IntroductionOne of the hallmark characteristics of chemical engineers are their ability to design, analyze, andoperate unit operations [1], [2]. Their ability to do so usually starts during their undergraduateeducation, where they take a Unit Operations Laboratory (Unit Ops Lab) course. Traditional UnitOps Labs face several challenges with both accessibility and cost, making them only
the deviceaccess to a heat gun and standard shop-vac or any other vacuum cleaner is required. Manyschool theatre departments or woodshops, as well as janitorial staff, often already have access toshop-vacs. A common $20 heat gun will suffice. Finaly, the consumable material for this projectis recycled milk jug plastic, which comes at no cost to the school. Current research published atASEE conferences with vacuum forming has been mostly focused on using vacuum forming tocreate an experiment or experience but little on making the vacuum form itself [1-5].2. Vacuum Forming2.1 The Process of Vacuum FormingVacuum forming is a process in which a thin sheet of plastic is heated to a temperature just belowits melting point, in which it becomes
progress made in implementing FYE2.0 to date and discusses plans for the future.1.0 BackgroundFirst-year engineering programs (FYE) are a common way for students to be introduced to theengineering profession. [1]. FYE programs typically include one or two introductory courses on avariety of topics. The content of FYE courses can include any combination of topics such as design,communication, professional skills (e.g., teamwork, leadership), and engineering specifictechnology/tools (e.g., MATLAB, CAD) [2]. Fostering interactions between first-year studentsand faculty/upper division engineering students have been shown to aid in the retention ofengineering students. The goals of FYE programs are typically: • Provide FYE students with
for Learning in Biomedical Engineering CoursesIntroductionStudents are more frequently engaging with the virtual world for courses [1-3]. Studies show thatonline resources significantly and equitably improve students’ performance in courses [4,5].Additionally, online resources are comparable to traditional learning resources, such as textbooks,in terms of student course performance [6]. Additionally, artificial intelligence (AI) provides evenmore opportunities for improved learning in courses [7]. Identifying how students use onlineresources and AI is especially critical for the field of biomedical engineering (BME), whosemultidisciplinary scope may require students to use online resources not necessarily createdspecifically for BME audiences
are an important part of engineering students’ training as they exposestudents to complex engineering design problems and include aspects of professionalengineering. These open-ended design courses are presented as a transitional step betweenstudent’s academic and professional engineering careers [1], [2].By understanding and improving student engagement in design activities within capstonecourses, educators can develop and solidify students’ engineering design skills and better preparethem for the transition into workplaces [3]. Little research has been done on the factorsimpacting student engagement in capstone design courses.Summary of project objectives and research methods:Similarly to our results from Year One [4] and Two [5] this study
Graduate education in engineering often requires graduate students to balance multipleroles that shape their academic and professional identities. Indeed, in addition to developing theirresearch skills, graduate students are often asked to assume teaching and mentorshipresponsibilities. These responsibilities are seen as opportunities that can significantly contribute tothe student’s personal and professional growth [1]. However, these roles are sometimes viewed assecondary when compared to their research within the academic environment, reflecting a broadertendency to prioritize the latter over teaching in STEM opportunities/programs [2]. This limitationhas been reported to hinder the development of pedagogical skills in graduate students [3
identities inSTEM fields. LGBTQ students in STEM often face significant barriers, including unsupportiveand hostile environments, harmful biases, heteronormative STEM spaces, and marginalization,as well as a lack of understanding of their experiences both inside and outside the classroom [1-4]. These challenges make LGBTQ students less likely to be open about their identities withSTEM peers, which can negatively impact their sense of authenticity, belonging, and persistencein these fields [5]. Such barriers can hinder professional formation, as LGBTQ students maystruggle to reconcile their sexual or gender identities with the dominant norms and cultures ofSTEM disciplines, creating tensions and identity threats for these students navigating
, thermodynamics presents a practical challenge: it demands constantlookups of property values from massive data tables. Students and engineers must flip through © American Society for Engineering Education, 2025 2025 ASEE Annual ConferenceFigure 1 – A typical tabulated properties of a common substance in thermodynamics. The table is extractedfrom (Michael J Moran, 2010).these tables, find the right values, and then use them in detailed calculations. Even simple problemscan turn into lengthy processes as each new step requires another round of table lookups andnumber crunching.While there exist some commercial software such as EES (F-Chart Software, 2024), REFPROP(NIST, 2024), CoolProp (Ian H
,participants will be supported in designing course projects that make use of the smartmanufacturing facility. Ultimately, the series of seminar focuses on incorporating smartmanufacturing technologies and applications into undergraduate education. Finally, thispaper will present feedback and assess the effectiveness of the seminars from theparticipants' perspective.IntroductionThe rapid development of Artificial Intelligence (AI) continues to challenge andtransform the traditional manufacturing industry [1]. However, current engineeringtechnology curricula often struggle to keep pace with the needs of modern AItechnologies [2, 3]. In order to bridge this gap and prepare students for the future ofindustrial innovation, the School of Engineering
industry experience to her academic roles. She has a proven track record of addressing critical environmental challenges. In her recent endeavors, Dr. Worthy is actively collaborating with the Lemelson Foundation to institutionalize the Engineering for One Planet framework at Kennesaw State University. This initiative reflects her commitment to sustainability and innovative engineering practices. ©American Society for Engineering Education, 2025 Improving Major Selection and Academic Trajectories: The Impact of a Common First-Year Engineering Orientation CourseAbstractThis Complete Evidence-Based Practice paper studies the impact of Kennesaw StateUniversity’s new, 1 credit hour engineering
Capstone CourseKeywords: Capstone Projects, Electrical Engineering Education, Generative AI in Education,ChatGPT, Entrepreneurship in Engineering, Marketing and Design Requirements, ABET.1. IntroductionIn recent years, many engineering programs have integrated entrepreneurship education into thecapstone experience, blending technical engineering skills with entrepreneurial processes,namely ideation, customer discovery, client validation, and commercial viability [3] Theseprocesses enable students to translate their technical knowledge into economically relevantengineering practice. The objective is to produce graduates who are not only technicallyproficient but also capable of navigating the business landscape, ethically aware, and responsiveto
environments and how institutional agency influences student success. This research spans three different spheres of influence including 1) student experiences, 2) higher education institutions, and 3) societal contexts. Her most recent research considers the intersection of Latinx identity and STEM identity at Hispanic Serving Institutions that are also community colleges.Margarita Rodriguez, University of California, Santa Barbara ©American Society for Engineering Education, 2025 1 Bridging Pathways: Empowering Latinx STEM Students Through Belonging, Support, and
pedagogical approach can vary widely betweeninstitutions and individual instructors. However, the use of active-learning, sometimes inconjunction with a flipped classroom approach, has become a popular mode of course delivery[1], [2]. The data available comparing various methods sometimes finds that active-learning canhave positive impacts on learning [3] or student motivation [4] but there are also plenty ofexamples where the method of instruction and class format have limited impact on studentoutcomes [5], [6], [7], [8].This study investigates whether the use of a high-fidelity motion capture lab for anundergraduate dynamics class project leads to a better student experience. Marker-based motioncapture systems are commonly used in a variety of
topreserve critical thinking and foundational writing skills. Both groups called for clearerinstitutional policies and structured guidelines for the ethical use of AI tools in educationalcontexts.The findings underscore the need for a balanced and proactive framework to leveragegenerative AI’s benefits while safeguarding educational integrity. Key recommendationsinclude: (1) establishing clear institutional policies on permissible AI use; (2) developing AIliteracy modules to foster critical engagement; (3) implementing process-oriented assessmentmodels, such as version history reviews and reflective writing logs, to emphasize students'intellectual contributions; (4) promoting active faculty involvement in guiding ethical AI use;and (5) adopting
serving as the C0-Director of the InstituteGuillermo Aguilar, Texas A&M UniversityClaire Bowman-Callaway, Texas A&M University ©American Society for Engineering Education, 2025 Evaluating Teaching Culture Change within a Mechanical Engineering Department1. Introduction Engineering education is changing rapidly, particularly as contemporary engineeringproblems require increased curiosity, experimentation, and deeper understanding and as effortsto diversify the demographics of engineering students have intensified [1], [2]. Academicengineering departments must be prepared to adapt to these changing environments andanticipate the future needs of their diverse student
University ofCentral Arkansas. With 12 years of experience in education, he has taught various science courses at bothsecondary and post-secondary levels and has held multiple STEM-related positions within the ArkansasDepartment of Education. ©American Society for Engineering Education, 2025 Expanding a State-wide Data Science Educational Ecosystem to Meet Workforce Development NeedsAbstractThe University of Arkansas has been developing a State-wide Data Science (DS) EducationalEcosystem over the last five years. A new project, funded by a HIRED grant from the ArkansasDepartment of Higher Education, builds on this existing DS Ecosystem. The program componentsinclude: 1) DS Ecosystem Expansion
developed for the 2017/2018 school year by RSECS. At the time this series wascreated the school was also becoming a National Academy of Engineering Grand ChallengeScholars Program (NAE GCSP) school [1] as well. There are 14 NAE Grand Challenges, andthough this course is for non-majors, we decided to develop it around one of the NAE GrandChallenges, “Engineer the Tools of Scientific Discovery”. Simultaneously, RSECS also wasapplying to be part of the Kern Entrepreneurial Engineering Network (KEEN), and weincorporated many elements of KEEN into the sequence of courses which stress entrepreneurialminded learning (EML), and the three C’s, Curiosity, Connections, and Creating Vale (3C’s) [2].A committee convened in 2016/2017 to strategize what the new
standard of quality for which students, employers, andsociety can be confident that graduates of an ABET accredited program are prepared to enter thediscipline after graduation. ABET criteria are developed by professionals associated with the 34technical societies that comprise ABET [1]. Although originally focused on accreditingengineering and technology programs, today, ABET also accredits college and universityprograms in other areas such as the applied and natural sciences and computing. Programs can beaccredited at the associate’s, bachelor’s, and master’s degree levels. ABET General Criteria, andwhere applicable, Program Criteria, identify elements required in the program curriculum.ABET is a non-profit, non-governmental organization with
engineering, undergraduate engineering, industrypartnerships1 IntroductionRetention and graduation of students are key goals of undergraduate engineering education.Design education and hands-on experiences play a critical role in supporting engineeringretention because they encourage sense of community through team-based learning, exposestudents to real-world applications of engineering, and support creativity and sense of “fun” [1],[2]. More specifically, first-year engineering design courses can provide positive foundationsthat support building a student’s engineering identity and sense of belonging in STEM. Whenstudents are provided hands-on learning opportunities that support their development of technicalskills, their confidence builds [3
settings.1 IntroductionWith recent advancements in machine learning, increasingly sophisticated and innovativetechnologies have been developed to address problems across various domains. One notableoutcome of these advancements, which has gained significant popularity in recent years, isgenerative artificial intelligence (GenAI). GenAI encompasses techniques and tools, such asChatGPT and Gemini, which are capable of generating meaningful text, images, audio, video, andother outputs based on training data [1]. This broad range of potential applications has encouragedpeople to explore diverse ways of using GenAI to help address various challenges. Educationstands out as one of the most promising fields embracing AI’s capabilities [2], [3].One
self-directed learning opportunities. In this course, students learn how togather and analyze data as part of the engineering design process, apply systems thinking to anengineering or societal phenomenon, collaborate with peers to find solutions, and effectivelypresent solutions to an audience. Moreover, students are exposed to the introduction of theapplication of machine learning techniques to environmental datasets and Google Earth enginefor remote sensing datasets.This work will aim at reporting four main issues, namely (1) the unique components of thecurrent integrated data science course, (2) an account of selected environmental engineeringprojects using Python, (3) a survey result collecting data on students’ perception about the
Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology. His research interests are engineering faculty and students beliefs about knowledge and education with a special focus on how those beliefs interact with engineering education as a culture. ©American Society for Engineering Education, 2025 Developing an AI/ML activity for a BME physiology courseIntroductionThe current employment landscape is likely to undergo significant changes as the prevalence of data-drivenwork increases. The types of engineering jobs available and the skills required for these jobs will be affected[1]. Rather than the traditional computational skills (e.g. writing code, data
itsestablishment in 1932, ABET has accredited approximately 4,773 programs across 930 collegesand universities in 42 countries and regions [1, 2]. While ABET provides a detailed andcomprehensive set of requirements for accrediting programs, it does not prescribe a specificapproach to measuring the attainment of learning outcomes. Instead, programs are required to usea personalized approach for their programs and describe their assessment process. Creating a newprogram that meets ABET’s standards is a significant task for both the administration and faculty,as it involves developing the curriculum and assessment tools needed to align with bothprogrammatic and institutional goals. This paper will explore the implementation of the assessmentprocess and the
-sectioncourse, where each lecture section consists of approximately 200 students in various engineeringmajors, with 50-minute lectures on Mondays, Wednesdays, and Fridays. One section receivedtraditional instruction, while the other section spent a portion of class time (10-15 minutes) eachFriday discussing real-world applications of the course content. The sections were surveyed at thebeginning and end of the semester to assess their impressions of (1) their curiosity about thematerial, (2) the connections to real-world applications and (3) the value created by the coursecontent. These three themes were selected around the “3C’s” of the Kern EntrepreneurialEngineering Network (KEEN) entrepreneurial mindset (Curiosity, Connection, Creating Value).The