University, Mankato. In this role, Katie provides coaching and professional mentorship to upper-division students, focusing on guiding them through design projects and other work-based engineering challenges. Katie’s research is in reviews, social network analysis, and relevant applications in engineering education. ©American Society for Engineering Education, 2025 Methods/Theory Research Brief: A Scoping Review of Social Network Analysis in Engineering EducationInterpersonal relationships are a key aspect of success for engineers [1]-[3]. As elaborated bytheories such as the Network Theory of Social Capital [4], [5], an individual’s access to certainresources can be indirectly
variouscharacteristics and factors impact the decision making process differently for the part-time andfull-time student populations.Overall Project Scope and Context of Current WorkThis paper is part of a much larger effort spearheaded by Dr. Diane Peters and Dr. ElizabethGross to understand all aspects of the graduate student experience; much of the literatureresulting from this project revolves around returners and direct pathway master’s students. Thesetwo groups are characterized by length of time out of undergraduate studies before attendinggraduate school. Direct pathway students are characterized as those who complete a jointbachelor-master degree or attend graduate school less than five years after their bachelor degreehas been completed. Returners are
project to provide actionablerecommendations for STEM and engineering recruitment and retention.MethodsBased on findings from a face-validated pilot survey instrument [25], we developed (1) a surveyinstrument for SVSMs and (2) another instrument for engineering faculty. Both instrumentsfeature Likert-scale statements and open-ended qualitative questions about the SVSMeducational experience. Designed to be implemented independently with several question itemsmade identical for cross-comparison, the survey instruments seek to better understand theperceptions of the SVSM engineering education experience from the perspective of SVSMsthemselves and from an engineering faculty audience.Exploratory Factor Analysis (EFA) will be deployed to look for
Paper ID #48454Student perception on Inquiry Based Learning Ordinary Differential EquationcourseDr. Thiwanka Nethali Fernando, University of Virginia Professor Nethali Fernando’s research interests are in machine learning and in projects that combine data science with pedagogy. Prior to joining the Center for Applied Mathematics at UVA Engineering she served as a postdoctoral research associate and adjunct teaching faculty at The University of Texas at Arlington and as a lecturer at Northern Arizona University. Professor Fernando is originally from Sri-Lanka and earned her bachelor’s degree in mathematics from the University
; application is about the practice of conceptslearned in class; and feedback in active learning focuses on how feedback to student learninghappens frequently [22], [35] - [38].MethodsResearch DesignThis study is part of a larger project investigating the propagation of the CW in undergraduateengineering courses at diverse two- and four-year institutions. Here, we ask instructors toimplement the CW in their classes in any manner they choose (e.g., in-class clicker, homework,quiz, etc.), followed up by three short-answer follow-ups that ask students to 1) justify theiranswer choice, 2) Likert-scale rating of confidence, and 3) provide comments on theeffectiveness of the question, as shown in Fig. 1. Student data is anonymized to protect privacy.Fig. 1
earned by all students, and thosestandards were chosen to prepare students for other courses that required those concepts asprerequisite knowledge. Other tokens could be earned through Professionalism tokens (e.g.turning in notes, attending class, and turning in assignments on time), as well as completing“choose your own adventure” activities (e.g. Fundamentals of Engineering practice exams,challenge problems, and projects). Although these activities helped students grow in theirlearning, they were not deemed required to pass the course. If a student completed all of therequired standards, they earned a C. Earning additional tokens increased their grade.A token tracking spreadsheet was created to show students their token progress, and the
the United States, it remains a challenge to identifyindividuals who have NDCs and use them to obtain employment [17].NDC Trends in the U.S. STEM Workforce. According to Chen and colleagues [1] over 36million U.S. workers were employed in STEM-related occupations in 2019. Because STEM-related jobs often require specific expertise, STEM workers commonly receive specific forms ofeducation and training to equip them with the necessary skills, knowledge, and abilities toperform effectively within STEM industries [18]. It is projected that, from 2020 to 2033,employment in architecture and engineering occupations will grow faster than the average, withan average of 195,000 job openings each year due to the employment growth and the need
onunderstanding these impacts is crucial for developing adaptive educational strategies that can sustainthe quality of engineering education in face of such global disruptions.Literature Review:The global outbreak of COVID-19 has brought about significant changes in higher educationworldwide, necessitating a shift from traditional face-to-face teaching to online formats. Thisunplanned transition posed unique hurdles, particularly for engineering students, who rely heavily onhands-on learning and access to specialized resources (Sukackė et al., 2022). Graduate engineeringstudents often depend on educational experiences such as collaborative projects, working withhuman subjects, and specialized equipment (Sukackė et al., 2022). The abrupt move to
incorporating this research into standard methodology courses withinECE and STEM programs—particularly capstone design projects—studentsgain hands-on experience with emerging technologies and power gridinfrastructure protection. The study supports the development of skills indata analytics, system modeling, and cybersecurity, ultimately enhancingstudents' technical expertise and problem-solving abilities in a rapidlyevolving engineering landscape.Specifically, the research focuses on investigating the vulnerabilities ofsmart grid networks to false load-flow data injection, and discussesimprovements in detection and mitigation strategies to strengthen gridresilience. The study contributes to critical aspects of security, monitoring,and predictive
technical experimentationdesigned to respond to scenarios representing a client’s needs. The systems studied, theexperiment design, and communication expectations grow in complexity through the labprogressions across the two courses. They aim to have students integrate experiment design andtechnical communication design in a way that enables them to become decision makers whilepracticing project management and teamwork skills. During a typical fall or spring semester, 220to 240 students are enrolled in each course. Both courses consist of two 50-minute lectures aweek to support a 3-hour lab section. Each lab contains approximately 24 students divided intostudent teams of three or four, with two graduate teaching assistants (GTAs) to facilitate and
Problems (19 mentions) 4. Visual Representations (14 mentions) 5. Time to Work on Labs and Projects (13 mentions) 6. Structure and Organization (11 mentions)A similar analysis of common responses to “What was the most confusing concept in this week’sclasses?” found that results were highly specific to each course’s content. We have thereforeomitted them here.Exit survey scoresThe response of the seven instructors completing the exit survey was universally positive. Allinstructors agreed (i.e., selected “agree” or “strongly agree”) with the statements “'The TicketHome helped me to identify barriers to learning,” “The Ticket Home helped me identify points ofconfusion,” “The Ticket Home helped my students feel heard and valued,” and “I
extracurricular activities.Possibility• Major Exploration – Guides students in understanding different engineering disciplines, helping them make informed decisions about their major and career path.• Undergraduate Research – Introduces opportunities for hands-on research experiences, including how to get involved in faculty-led projects and independent studies.• Career Exploration – Helps students connect coursework with career pathways, including internships, co-op programs, and networking with industry professionals.• Engineering Ethics – Discusses ethical responsibilities in engineering, covering topics such as professional conduct, societal impact, and technological accountability.Facilitated Dialogues Concurrently with
], prioritizing physical and mental healththrough exercise and a balanced diet [20, 21], and establishing strong personal routines [21].Family and social support networks are consistently identified as crucial coping mechanisms [19,20, 21, 22]. Specifically, [21] highlights the importance of building networks and seekingemotional support.Institutional support plays a vital role in helping students manage stress. Universities canintegrate stress management into curricula [19, 20], offer time management courses [19, 20],provide career counseling [19], and create opportunities for real-world project experiences [19].[21] emphasizes the importance of fostering a sense of belonging and aligning academicexperiences with career goals. At the same time, [22
concepts to solve real-world problems. Unlike modern digital instruments, whichoften obscure the underlying principles, the quadrant’s simplicity and transparency make it anideal teaching tool. Its historical signi cance adds an element of curiosity and context, allowingstudents to connect engineering principles with their historical applications.Some museums and other organizations have developed small-scale projects targeting k-12students that make and use paper quadrants as an interactive geometry and history lesson[10-13]. The Mariner’s Quadrant activity presents in this paper has been enhanced withengineering principles and data collection methodology to elevate the complexity for universityundergraduate curriculums. It is particularly well
pursue further interests in engineering [7]. In this study, weexamine family interactions occurring at home during online sessions by looking at the authentic,naturally occurring parent-child conversations. By adopting sociocultural perspectives oflearning, we aim to deeply understand how family dynamics and cultural contexts influence eachchild’s experience during moments of frustration and engagement in engineering learning.MethodsStudy ContextThis case study is part of a larger design-based research project that developed an onlineengineering program for rural libraries. With seven rural libraries across seven different states inthe U.S., we co-designed and developed six 1.5-hour synchronous Zoom sessions. These onlinesessions were delivered
(IEEE-RITA), and a guest editor for the journals Education Sciences, Frontiers in Education, and Discover Sustainability. Her main research areas are: interdisciplinarity in science, gender studies in STEM, and faculty development. Due to her interest in women’s participation in science, she has been a mentor in several programs, received the Mentor in Science distinction from the British Council Mexico, and coordinates mentoring program at the Tecnologico de Monterrey and at Universidad Andres Bello. Angeles leads projects on gender studies in STEM, mathematical and interdisciplinary modeling, and teacher training.Prof. Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico; Universidad Andres Bello, Santiago,Chile
what AIrendered correctly and where it missed the mark. The course also highlighted the examples fromSupan 22 to show that in addition to simpler applications of AI to classroom exercises, the sametechniques can be used to solve sophisticated thermodynamics applications.To collect data about the effectiveness of these AI-focused activities, surveys were taken at thebeginning and the end of the course. Surveys were voluntary, results were de-identified, andparticipation counted for no points, but time during class was given for students to complete them.The surveys asked a variety of questions to assess several objectives, in line with theuniversity-wide AI project effort. Namely, the objectives include the following: 1. Examine the effects
. According to Kang et al., the following learning objectives were importantfor accessibility education [25]: (1) understanding fundamental principles of inclusive design, (2)interacting with diverse people, (3) showing increased empathy towards people with disabilities,(4) viewing accessibility from cultural, social, and legislative perspectives, and (5) showingmotivation to continuously learning about accessibility.Accessibility has been taught in various college contexts, such as human-computer interaction(HCI) [26]–[30], software engineering [31], [32], web design [33], and non-CS [34] courses.Both traditional pedagogical methods, such as lectures [3] and projects [35], and novel ones, suchas experiential labs [6] and games [7] have been utilized
, the Dean of Research Office, the InternationalRelations Office, the Bureau of Partnership Initiatives, the Bureau of Prevention and Security,departments, and research groups. To improve response time to the ever-increasing demands, the´ETS library team sought ways to optimize report production time. They were motivated tocollaborate with the project developers to create a time-saving solution that also allowed them toreflect on priorities, improve deliverables, and enhance workflow. The chosen name for thisproject is AutoBib (Automation of Bibliometric reports).The early involvement of library staff in the development of AutoBib facilitates its adoption, astheir specific needs and work environment were taken into account. To ease the
to derive a new variable, “Enroll Status.” This new variable represents a student'senrollment status for each semester from the beginning to the end, with the exit status of either“dropout” or “graduate.” In this study, “dropout,” “stop out,” and “graduate” are grouped as“not_enrolled” because the goal of the project is to predict if a student will enroll next semester.This simplifies the problem into binary classification tasks. The texts in the “Semester” columnwere converted to timestamps, and the “Student ID” column is treated as item ID for panel data.To ensure a constant frequency of timestamps, the data were resampled to include all spring andfall semesters from Fall 2002 to Spring 2024 (Figure 1). Figure 1: A sample student
figure out the entire process, setup, and usage bythemselves or through third-party online materials without any proper guidance. Additionally,kits would benefit from added reconfigurability in their design. Such reconfigurability iscurrently absent in many of the designs, meaning the setup can be assembled and used for onlyone type of activity. Having the option for reconfigurability would allow the users or students tobuild different types of robots or robotic systems, think creatively, build a better understanding ofconcepts, work on multiple projects, and retain their interest in the kit and the idea of robotics.Our work focused on developing a cost-effective solution (~$60) that can foster essential skills inSTEM through interaction with
education to the rural schools, which is seen as a persistent CSeducational challenge [18].Access to computer science education is less prevalent in schools in the rural areas comparedto their more urbanized counterparts [19]. Although Broadening Participation in Computing(BPC) education projects have been effectively implemented in some states in the UnitedStates of America, such as Maryland [20], California [21], and Utah [22], rural schools are notstill within sufficient reach largely due to their geographical disadvantages [23]. An attemptto identify the implementation challenges for a new computer science curriculum in ruralwestern regions of the United States also revealed that the concept of computational thinkingand coding were foreign to
[8] within a regular course setting. Noexperimental treatment was applied in the research.Context and ParticipantsParticipants were recruited from two sections of an engineering technology course offered at apublic university in the southern United States. The course focused on computer networking forengineers, and both sections were taught by the same instructor. Experiential learning activities,including problem-solving tasks, group projects, and discussions that required experience andreflection [9], were adopted into the course.ProcedureParticipants reviewed course materials, including content areas and subtopics, to prepare forwriting a selected topic essay (a summary of the topic). The topic selection was coordinated withresearchers
Paper ID #47267Increasing Student Achievement in ECE Fundamentals Through Standards-BasedGradingDr. Barbara E. Marino, Loyola Marymount University Dr. Barbara E. Marino is an Associate Professor in the Department of Electrical and Computer Engineering at Loyola Marymount University. Dr. Marino received the B.S.E.E. degree from Marquette University and the M.S. and Ph.D. degrees in electrical engineering from the University of Notre Dame. Dr. Marino has many years of industry experience including work at the Naval Research Laboratory in Washington, D.C. on projects related to military ID systems and work at the Jet Propulsion
a unit process and materials balance approach.Environmental topics explored include water transport and quality, drinking water treatment,wastewater treatment, and air pollution transport, quality and control. Due to the high studentenrollment, between four and six faculty teach the course each year. There are 40 lessons in thecourse, including 27 substantive lessons, 2 laboratories, 3 exams, 2 field trips, and 2 lessonsdesignated as engineering design project (EDP) work sessions. The two laboratories requiredgroup submissions for a jar test laboratory and a wastewater analysis laboratory. The two fieldtrips incorporated individual reflections based on a trip to the West Point water treatment plantand a trip to the West Point wastewater
the larger project: 1)How do women engineering students describe their experiences of epistemic (in)justice? and 2)How do women engineering students interpret the impact of epistemic (in)justice on their ownpersonal epistemologies in the context of or regarding the engineering field? To answer theresearch questions (RQs), we used a three-interview data collection structure [16], [35], [36]. Tounderstand the requirements for the interview protocol, we review the methodological and datacollection choices for the larger study as the background needed for the piloting phase. Then wediscuss the piloting methodology, including alterations based on time and resource restrictionsand study-specific needs to refine and solidify the data collection
in comparisonto traditional lecture?To address this gap, the teaching team implemented a module using 20 borrowed Quest 1 VRheadsets. During the module, students explored and reflected upon the challenges of VRadoption in education. After students completed an initial onboarding, each week focused on adifferent learning topic. In Week 1, students explored the Iceberg Model, followed by Creativityand Innovation in Immersive Technology in Week 2. In Week 3, the module concluded withGamification for Increased Quality and Productivity. After the three weeks of topics (exploredvia VR and lecture), the final week was a project week. Students received traditional PowerPointlectures and immersive VR experiences for each topic, enabling them to
Neurodivergent and Neurotypical Learners in Higher EducationIntroductionIn this work in progress, we share an analysis of interviews with faculty, staff, and administratorsin STEM-affiliated departments (Science, Technology, Engineering, and Mathematics) andpositions at an R1 institution in the southeastern US related to their knowledge and experiencesof neurodiversity. This study is part of an ongoing look into neurodiversity in STEM majors via acourse-based undergraduate research project with the goal of better understanding the uniquechallenges that neurodivergent learners face in academic institutions.Neurodivergent individuals are classified as people with different strengths and weaknesses based on brain differences that affect the brain's
Engineering Education majoring in Engineering Education at Florida International University, where he also serves as a graduate research assistant contributing to various projects supporting post-traditional students and transfer students. His research interests include community college-minority serving institution partnerships, transfer students, post-traditional students, and broadening participation in engineering education. He received his B.S. in electrical engineering from Tuskegee University, an M.S in journalism from the University of Illinois-Urbana Champaign, an M.S. in physics from Fisk University, an M.S. in industrial engineering from the University of Central Florida and an M.Ed. in educational leadership
as a result of learning processes. Measuring these changesis difficult or impractical, so performance is used as a proxy measure. In theory, greaterperformance is indicative of greater learning. In the modern classroom, that almost alwaystranslates practically as various flavors of assessments (homework assignments, projects,quizzes, labs, exams) with point values. A final grade is assigned based on a weighted sum ofpoints. More accumulated points represent a better performance, implying greater learning. Suchis the intention of the grading scheme.When instructors create proper rubrics for assignments that explicitly map learning objectives topoint values, it may be clear how the points earned on the assignment represent materialsuccessfully