enjoys re-imagining higher education with others, then making it happen. ©American Society for Engineering Education, 2025 Presence, Participation, and Pedagogy: Revisiting Face-to-Face Learning in Engineering Programs (Work-in-Progress)IntroductionExploring students' and faculty members’ views on the significance and role of face-to-facelearning environments is important for adopting teaching methodologies to today's diverseeducational needs. While the transition to online learning offered flexible and accessible methodsof learning, it also generated concerns about decreased engagement, community feel andbelonging that is naturally fostered in face-to-face learning environments [1]. A broad range
, and opportunity for all in fostering successful community partnershipsand addressing environmental issues such as biodegradation, solid waste management, andpollution prevention. Activities focused on complex social issues surrounding food insecurityand availability of healthy food in urban communities as well as successful citizen reentry fromprison into communities will also be discussed.IntroductionIn 2020, Bret Eynon and Jonathan Iuzzini published an ATD Teaching and Learning Toolkitwith Achieving the Dream [1] that presents a body of work that was developed from the NewLearning Compact Framework in 2019 by Every Learner Everywhere [2] with the intent offostering a culture of teaching and learning excellence designed to enhance student
computing requirements in machine learning and artificialintelligence highlights the importance of high-performance parallel computing (HPC). Manymodern AI systems require efficient algorithms that can take advantage of multi-core processors,multiple GPUs, and distributed systems [1-3].The convergence of data science with high-performance computing (HPC) and parallelismdevelopment is increasingly recognized as essential in both industry and academia. Therefore,both industry and academia are increasingly seeking professionals who are proficient in HPCprinciples and parallel development to address the challenges posed by massive data processing,machine learning, and AI [3-5].However, existing curriculum in academia often fails to provide a
figure 1 below where baseline information is capturedfor each student in terms of their study habits and strategies. This is followed by a branchingquestion where the student is asked whether they recall being given instruction (either in classor from a Canvas mini course) on strategies for staying focused and improving academicperformance. If the answer is affirmative, a set of additional questions collect data first on thestudents’ fundamental understanding of action-state orientation followed by another branchingquestion to collect more data on which of the strategies covered in the mini-course they haveimplemented in their daily lives. Figure 1: Survey opens with a question on study habits and strategies for each studentData PreprocessingThe
theprofessional development seminars. Preliminary survey results from the pilot groupdemonstrated that exposure to the experiential learning project in the program benefited thestudents’ understanding of engineering and positively impacted their confidence and interest indesign and fabrication. Based on the survey results, a path forward is discussed to improve thecurriculum for future offerings of the program. 1Introduction:STEM K-12 educational summer camp programs expose students to potential educational pathsthat they can pursue in higher education [1]. This exposure is proposed to be highly motivatingfor students, as it is designed to provide them with
engineering suggest thatstudents should be cognizant of and prepared to act upon these issues concerningmacroethics—the social responsibility of the engineering profession [1]. For example, ABETStudent Outcome 2 notes that students must develop an understanding of engineering designincluding “consideration of public health, safety, and welfare, as well as global, cultural, social,environmental, and economic factors.” [2]. Additionally, the American Institute for Aeronauticsand Astronautics’ Code of Ethics says that engineers are expected to “hold paramount the safety,health, and welfare of the public in the performance of their duties” [3]. These statements leavegreat latitude to the curriculum and the instructor in interpreting who counts as the
limits, trigonometry, and geometry during a STEM summer camp to middle schoolstudents, an audience not immediately targeted by the EVG itself. In VL, the player is immersedin a “3D environment where they must solve a series of increasingly challenging calculusproblems in order to stop the geomagnetic storms threatening their planet’s survival” (Thomas etal., 2017, see Figure 1 and Figure 2).Figure 1In-game Screenshot of Player Character Looking at SceneryFigure 2Example of a Puzzle From VLMethodsParticipants Participants were 30 middle school students that were a part of a university STEMsummer program. Participants played Variant: Limits on university-provided computers for aweek, for approximately an hour and thirty minutes every day in
tutoringremediation in mandatory undergraduate courses, specifically in Electrical and ComputerEngineering (ECE) degree programs. The research revealed a direct correlation between coursesthat utilize remediation services and student outcomes, highlighting the critical role theseservices play in shaping academic success. The ABM leverages this insight to provide instructorsand administrators with a predictive toolset that identifies the optimal number of assistantsneeded for specific courses. This approach takes a step further by providing data-driven supportto ensure informed decisions about resource allocation and optimized student success.As depicted in Fig. 1, the research involves developing an ABM to simulate a classroomenvironment with students and
Industrial Engineering and Operations Research from the Pennsylvania State University.Robin Neal Clayton, University of Washington ©American Society for Engineering Education, 2025 Enhancing Engineering Faculty Implementation of Inclusive Pedagogy through an Inclusive Excellence Faculty Development ProgramIntroductionWhile the framework of culturally relevant pedagogy was originally developed 30 years ago [1],there has been a growing momentum in recent years to adopt inclusive and equitable teachingpractices in higher education [2], [3]. This shift is driven by the increasing diversity of studentpopulations, including those from historically marginalized identities, enrolling in highereducation
(CEBOK3) was published in 2019 [1]. Much like the prior versions ofthe CEBOK, the Third Edition made significant positive impacts on the profession of civilengineering as it outlines foundational, technical, and professional practice learning outcomes forindividuals entering into responsible charge in the practice of civil engineering. CEBOK sets thedirection for curriculum development and professional practice and sets an expectation forlifelong learning. As part of a pre-established timeline, ASCE has launched the CivilEngineering Body of Knowledge Task Committee, Fourth Edition (CEBOK4TC).The following charge was presented to the CEBOK4TC by the ASCE Committee on Educationleadership: ● Critically review published literature regarding the
students’ EM three Cs, and students’ increased appreciation of multiculturalism through in-person cultural immersion experiences.Introduction s engineering demand rises and globalization intensifies, fostering multiculturalism is vital forAglobal solutions. Transformative learning theory (TLT), developed by Dr. Jack Mezirow in the 1970s, explains how adult learners shift perspectives when confronted with challenging experiences[1,2]. While TLT guides culturally responsive teaching in international teacher training, it remains underutilized in science, technology, engineering, and math (STEM) contexts [1]. This research study explores the impact of international experiences on the development
positive role insupporting the personal and intellectual growth of students [1], [2], [3], [4], [5], [6], [7]. Manyuniversities actively implement formal mentorship programs to enhance the development of bothgraduate and undergraduate students [8], [9], [10]. There is less research examining howgraduate mentoring programs might facilitate collaborative, professional, and academic cultureamong engineering students. Two questions now arise:1) What is “culture” in this academicsetting and 2) Why is it important to influence these cultures among engineering students? A succinct definition of “culture” as it applies in the academic setting may be found in theMerriam-Webster Dictionary, which states that culture is “the set of values
entire neurodivergentcommunity.In the LGBTQIA+ community, the acronym stands for Lesbian, Gay, Bisexual, Transgender,Queer/Questioning, Intersex, and Asexual/Agender/Aromantic. The “+” is included to representthe many other identities within this community, including but not limited to: two-spirit,nonbinary, pansexual, and genderfluid.1.2 MotivationThe challenges faced by neurodivergent people (ableism, lack of support in meeting needs,accessibility challenges, etc.) and the challenges faced by LGBTQIA+ people (homophobia,transphobia, compulsory heterosexuality, etc.) are all faced by neuroqueer individuals; by virtueof their intersectional sociopolitical identity, neuroqueer people experience the cumulativeeffects of these challenges [1
students at academic institutions. Space is required formentorship that supports students emotionally. Findings and implications are discussed further.IntroductionMentorship has long been considered one of the cornerstones of personal and professionaldevelopment, from the arts to the sciences [1]. Within higher education, mentorship can be bothformal and informal in nature, encompassing everything from faculty-student relationships andworkplace mentoring programs to familial or peer connections. These relationships provideemotional support, practical guidance, and role modeling that influence growth and success [2].By addressing the diverse needs of mentees, mentorship serves as a critical tool to navigatechallenges, cultivate resilience, and
Student Teaching: The Cultivation of Teaching Skills and Identity among Graduate StudentsAbstractThis study investigates the development of Graduate Teaching Assistants' (GTAs') teachingidentity through professional development (PD) activities and hands-on teaching experiences.While previous research has predominantly focused on how PD programs enhance teachingpractices [1], less attention has been paid to their impact on the formation of a cohesive teachingidentity.Understanding the evolution of GTAs' teaching identities is crucial for creating PD programs thatcan support them and enhance their teaching effectiveness. This research addresses these issues byexploring how structured PD programs, such as pre-semester workshops, and
educational resources (OER) in alleviating financial strain, improving student engagement, and enhancing learning experiences in engineering education.I ntroduction Engaging in continuous improvement is a good practice for any course, and providing instructors with the tools to make effective data-driven changes can enhance student learning[1]. In engineering education, there has been a call to make changes to curricula and learning experiences to ensure that engineering students are ready to meet the complex challenges of the future[2]. This is compounded by the looming enrollmentcliff in higher education, where fewer students are expected to pursue higher education
minoritizedidentities from their engineering identities [1], identity scholarship has long established thatstudents’ experiences, activities, relationships, and environments outside the classroom cansignificantly influence how they engage with, interpret, and learn material in the classroom.One potential reason behind the limited diversification of the engineering workforce could be thetendency to acknowledge only the social and psychological effects of marginalization instead oflooking at cognitive effects on student learning, thereby only considering one aspect of thelearner. This paper considers the whole learner using a method known as “thinking with theory”[2] to theoretically examine the implications and impacts of navigating marginalized andminoritized
engineering and early numeracy instruction for students with developmental disabilities.Ginevra Courtade, University of LouisvilleDr. Christine M Cunningham, Museum of Science Dr. Christine Cunningham is the Senior Vice President, STEM Learning at the Museum of Science, Boston. She an educational researcher who works to make engineering and science more equitable and understandable, especially for underserved and underrepresented populations.Jennifer Marie Fosbinder, University of LouisvilleMary Rathmann, University of Louisville ©American Society for Engineering Education, 2025 1 Developing Inclusive
influence of fluid motion and turbulence on biological systems. His contributions have been in three arenas: 1) illuminating the fluid mechanics processes related to sensory biology and biomechanics; 2) developing advanced experimental techniques and facilities; and 3) translating research results into bio-inspired design. In recognition of these contributions, Dr. Webster is a Sustaining Fellow of the Association for the Sciences of Limnology and Oceanography (ASLO) and a Fellow of the American Society of Civil Engineers (ASCE). He has won numerous awards including the Felton Jenkins, Jr. Hall of Fame Faculty Award, Class of 1934 Outstanding Innovative Use of Education Technology Award, the Eichholz Faculty Teaching
Wear Balancing and Approximation for Efficient Non-Volatile Main Memory Management Rowena Quinn1 , Sherrene Bogle1 , and Marjan Asadinia2 1 Department of Computer Science, California State Polytechnic University, Humboldt, USA, Rowena.Quinn@humboldt.edu, Sherrene.Bogle@humboldt.edu 2 Department of Computer Science, California State University, Northridge, USA, marjan.asadinia@csun.edu Abstract Phase Change Memory (PCM) is an emerging non-volatile memory technology that lever- ages the thermal properties of chalcogenide glass to transition between amorphous and crys
; threshold concepts; undergraduate education; cognitiveapprenticeship model; STEM computational toolsIntroductionHow students learn and how to facilitate this process are long-standing questions in education ingeneral. Efforts to develop formal pedagogical frameworks to identify specific roadblocks andaddress them are prevalent in engineering education research. Some strategies that have shownincreased performance in engineering students include cooperative learning, active learningclassrooms, flipped-courses, and interactive assignments [1]. Some of these strategies are easier toimplement in the context of engineering courses, while others require more intentional design toaccomplish the desired learning outcomes of a given course.Chemical
equations becomes a cumbersome task often deterringstudents from understanding and applying these concepts to get a broader understanding of theirsignificance in engineering applications.The use of computational tools and software has been theorized to greatly simplify numericalanalysis while also being able to graphically visualize output for further analysis [1].Furthermore, the benefits of using computer‐assisted tools to improve student learning arewidely tested, in laboratories [2, 3, 4, 5], and learning teaching [6, 7, 8, 9]. In order to enhancethe teaching and learning of thermodynamics, the approach to teaching thermodynamics hasprogressed from the traditional method to a more sophisticated method such as using computertechnology and
integrate equity into theiracademic studies and professional work. Practitioners emphasized the importance of activelistening, effective communication, and openness to diverse perspectives, while educatorshighlighted the potential of community-engaged learning to enhance equity in transportationeducation. This study can help create a foundational framework for future researchers to exploredeeper questions about how equity is understood and taught. It also provides insights intocreating more inclusive educational strategies addressing diverse perspectives and learningneeds. 1. IntroductionSocial equity is commonly defined as fair distribution of benefits and costs [1]. In relation tocivil engineering and transportation, social equity is reflected
early warning and possible intervention.Ivan ZimmermanDr. Doina Bein, California State University, Fullerton Dr. Bein has an extensive publication record: 13 book chapters, 19 journal articles, and 69 conference papers. Four of her conference papers have received the best paper awards. She was awarded (as PI or co-PI) several research and teaching grants from AF ©American Society for Engineering Education, 2025 Study on the Use of Random Forest Classifier model and Multi-Output Classifier model for Predicting Student Academic Performance and Identifying Areas of Concern Kevin Huang1, Ivan Zimmerman1, Doina Bein2 1
of engineering, requires a reorganization of how learning environments are designed and how engineering programs and faculty evaluate how learning occurs. he need to prepare students to work on socio-technical issues is better reflective of how theyTwill be working as an engineer and the types of 21st century problems that are currently in need of attention[1]. Global-scale, complex, socio-technical problems are often referred to as convergent problems in the field of engineering[2]. A key characteristic of convergent problems is that they are not well addressed by traditional approaches, because they require the sharing and application of ideas and methods across multiple disciplines and partners in
student willingness toindependently choose Python or R for future courses and projects. The survey responses suggestthat as computing becomes normalized, negative feelings among students become less of animpediment. Comparisons of grades among classes in semesters before and after the computingintegration do not generally show statistically significant differences. Given the lack of relevantdata available, both in our department and in the literature, these survey responses providevaluable insights into civil engineering students' attitudes toward coding for data analysis andproblem-solving, which could assist others considering similar curricular changes.1. IntroductionRapid advances in computational capacity, ability to process massive amounts
scalable strategies. Two central research questionsguide this investigation: (1) How can the findings from this case study inform the design ofinterdisciplinary curricula that incorporate this specific backward design approach andentrepreneurial thinking? (2) What key challenges, benefits, and lessons from this project caninfluence the successful implementation of similar programs in the future?The following sections explore the key components of this study, offering a brief background oneach element. These components collectively shape the study’s focus and lay the groundwork forunderstanding the impact of incorporating innovative practices into curriculum development toinform future decision-making and educational strategies.Capstone
more ready to face the challenges posed by complex problems with no simplesolution.To help build more entrepreneurial thinking and creativity into the students’ education, theauthor has modified earlier design projects in two senior-level technical electives in theMechanical Engineering Department at the University of Wisconsin-Milwaukee (UWM). Oneof these modified projects is described elsewhere.1 The second modified project is in a second-semester Thermodynamics course, and is described in this paper.The design project builds from the concept of project-based learning2,3 which is not new, andexists in a wide variety of forms. Ulseth et al.4 used projects that directly connect students to anindustrial sponsor to work on a solution to a real
instruction can foster GenAI-related information literacy, and that the ISP model remains a valuable framework forunderstanding student engagement with new technologies. The findings highlightopportunities for librarian-instructor collaboration in designing effective GenAI-integrated research instruction.IntroductionGenerative AI is increasingly becoming an integral part of instructional practicesin higher education courses, and it is beneficial to understand this technology'simpact on the student research experience [1]. Over time, the field of libraryscience has used the Information Search Process (ISP) model to examine thestages of the user experience in the search process. ISP examines informationseeking through the lens of the affective
engineering students experienceindustry recognition across a four-year undergraduate program. The extent to which studentsbelieve other people see them as engineers influences how they see themselves as engineers.Students’ engineering identities can shape how they are motivated, persist, and learn engineering[1]-[3] which has inspired calls for the inclusion of identity development as part of theundergraduate engineering curriculum [4], [5], [6], [7], [8]. Research has shown that howstudents feel recognized by others as the kind of person who can do engineering is the mostimportant element in the development of an engineering identity [9], [10]. Understandingrecognition is critical for designing high-impact curricular practices that can effectively