wellness content has continued to be included in the seminar series since2023, with minor changes being made annually to adapt to the ever-changing technologicallandscape and student needs. Multiple methods have been used to assess the digital wellnessknowledge and practices of individuals at the Schulich School of Engineering following thecontents inclusion in seminar during Fall 2023. In this paper, we will look at three key methodsincluding generalized student surveys with digital usage questions, in depth interviews focusingon digital technologies, and digital wellness module specific student surveys.To gather data about students' average technology usage for educational purposes, acomprehensive survey was administered via Qualtrics after the
activities, excessive downtime, and uncleartransitions between sessions. The assessment also considered feedback from past participants andstaff. The Sort-Set in Order-Shine-Standardize-Sustain steps of the 5S concept, a fundamentalLean methodology, were implemented to identify improvement opportunities in the summercamp program. Based on the analysis of pre-COVID summer camps, 5S was applied as followsto enhance the post-COVID camps 1. Sort: Unnecessary or redundant activities, such as overlapping sessions and prolonged free periods, were identified and eliminated. 2. Set in Order: Activities were reorganized into a logical sequence, ensuring smooth transitions and optimized use of time and resources. 3. Shine: Camp facilities were
actors to adapt to changing needs and achieve shared objectives [4-7]. In STEM highereducation, we posit that relationships among faculty affect their STEM education capacity—theirability to adapt to students’ needs and achieve education-related objectives. This paper examinesengineering faculty interactions, the formation of relationships, and how teaching and learningdiscussions occur within academic settings. We aim to uncover how faculty members develop andleverage their relationships and communities. We also explore how faculty members approach andreach out to their colleagues for diverse, multifaceted, and specific needs related to teaching andlearning. Our study is part of a broader research project that assesses STEM education
their learning paths.Our curriculum design also reflects the principles of Culturally Sustaining Pedagogy (CSP)[7], encouraging students to integrate their cultural backgrounds in identifying the socialproblems and evaluating whether and how these problems can be tackled using edge AIsolutions. Students are encouraged to engage in projects with the final projects in mind sothat they can regard their cultural backgrounds and experiences as valuable assets to createfeasible solutions for their community issues. In this process they can critically evaluate thesocietal inequities and injustices, which empowers the students to question and challenge thestatus quo and allow active participation.Instrument and Data collectionTo assess SCCT factors, 21
assignment. The assignment includes personal reflection on barriers,support networks, and action items as well as a glossary of class terms and concepts, ranked bytheir level of understanding.Importantly, this intervention places minimal grading burden or emotional labor on busyinstructors and is compatible with the exam-based infrastructure already present in mosttechnical courses. While best-practices may include frequent low-stakes assessment withmultiple attempts and standards-based grading, few faculty can afford such drastic courseredesigns. Our intervention therefore fills an important need in meeting both students and facultywhere they are at. This intervention is currently in its fifth iteration (Table 1). We haveexperimented with various
questions are used to assess the Recognition aspect of identity formation Q4_1 I see myself as a chemical engineer. Q4_2 My parents see me as a chemical engineer. Q4_3 My peers see me as a chemical engineer. Q4_4 My instructors see me as a chemical engineer. Q4_5 My TAs see me as a chemical engineer. Q4_6 My advisors see me as a chemical engineer. These questions are used to assess the Interest aspect of identity formation. Q4_7 I am interested in learning more about chemical engineering. Q4_8 I enjoy learning chemical engineering. Q4_9 I find fulfillment in doing chemical engineering. Q4_10 I want to pursue a career in chemical engineering. These questions are used to assess the Performance / Competence aspect
,and end of the first year. The 4th survey is deployed during year 2 of each cohort to gaugelongitudinal impact. Cohort 1 and 2 faculty (n=24) were from a range of STEM disciplines,including computer science, health sciences, astronomy & astrophysics, life sciences, engineering,chemistry, and mathematics. Faculty were distributed across different stages of their career:assistant professors (n=8), associate professors (n=9), professors (n=5), and lecturers (n=2).Survey questions focused on assessing faculty motivation, teaching beliefs, teaching practices, andteaching reform in supporting minoritized students in their STEM. The data collected from thesurveys will be synthesized to provide more context about the impact of the PDS on
challenges and class discussions about the book How We Got to Now [9], which explores the innovative breakthroughs that have shaped our modern world. • Problem-based learning helps students practice dealing with ambiguity and creates opportunities for exploration and discovery [1]. • Design Thinking process encourages students to be curious about user needs, build empathy for their customers by conducting interviews to understand the needs, and explore different design solutions [2]. • Professional Competency Workshops encourage students to learn about new topics and improve their lifelong learning skills [6].Following in the work of the same KEEN colleagues previously mentioned [8], an assessment ofstudent
, andhalting axis motion.MethodsENGR 383 is a project-based course where students are assessed using exercises, quizzes,labs, and projects. The final project (final assessment) for the course has the followingobjectives: 1. Design and create a two-axis motion control system. 2. Use a finite-state machine to implement a motion sequence. 3. Design and program the human machine interface (HMI) to implement a user interface for the system.The following is the problem statement for the project: Create a system that controls a two-axis motion control module. The motion control module (MCM) must execute a motion sequence. All system interaction must be done using one or more HMI screens.Students are allowed to use ladder diagram (LD
surveys and interviews offers a robust framework for evaluating program outcomes.Surveys provide quantitative metrics, such as participant satisfaction and confidence levels,while interviews deliver rich, qualitative insights into individual experiences. Creswell, PlanoClark, and others [7] advocate for a mixed-methods approach to program evaluation to capturegeneral trends and nuanced feedback. In the WaterSoftHack program, pre- and post-workshopsurveys, complemented by follow-up interviews, enable a comprehensive assessment ofparticipant outcomes and areas for improvement.Hackathon-Style Training MethodsHackathons have emerged as innovative platforms for skill development, fostering collaboration,problem-solving, and rapid prototyping [6
Paper ID #47820Addressing open-source software complexity using a large language modelDr. Edward F. Gehringer, North Carolina State University at Raleigh Dr. Gehringer is a professor in the Departments of Computer Science, and Electrical & Computer Engineering. His research interests include data mining to improve software-engineering practice, and improving assessment through machine learning and natural language processing.David Mond, North Carolina State University at Raleighjack liu ©American Society for Engineering Education, 2025 Enhancing Code Quality and Design in Open-Source Projects
the number of connectionswithin the class roster. Students report positive feedback at mid-semester check-ins and duringfinal class evaluations with requests for more interactions and to keep the assignment for futureclass iterations. Faculty have anecdotally observed increased class participation and engagementwith peers during in-class activities. Future studies may include an IRB approved longitudinalstudy tracking first-year students through the end of their academic careers to assess if theirsenses of loneliness and community differ from those students who did not participate in the10MTs assignment.IntroductionIn 2023, the US Surgeon General issued an advisory on the epidemic of loneliness and drewnational attention to the growing
weacknowledge that some students may write positive reflections to please the instructor for abetter grade, we hope their reflections are motivated by genuine engagement rather than this soleintention. To more effectively assess these reflections, improved assessment tools should bedeveloped.Engaging students in research is a powerful way to enhance their learning experience. Byproviding opportunities for students to conduct case studies from different disciplines ofengineering as research. A good example is one of the case studies undertaken by onemultidiscipline team that is listed in Table 3 - “Enhancing Hearing Aids”. The team defined theproblem as improving both the functionality of hearing aids and user comfort. After conductingsome research
tool for improving students' technical understanding and developing creativecommunication skills essential for engineering [10]. Writing for laboratory courses is not justfor students to note down the steps performed in the lab and present the corresponding resultsof the experiments. Students should be able to synthesize data, relate their theoreticallearnings in a practical environment, and communicate their findings eloquently [11]. Theimplementation of frameworks such as Writing Across the Curriculum (WAC), Writing-to-Learn, and rubric-based assessments have ensured that students' writing experience ispurposeful and reflective of professional engineering standards[12], [13], [14]. Lab coursesthat have utilized such approaches in other
worked with students by introducing them to angularmomentum through tactile feedback provided by a joystick, which provided a physicalconnection to the student, and then assessed student understanding through quizzes and brainscans. Several quantitative studies (Kontra et al., 2015; Zacharia, 2012) dealt with a sport relatedactivity through brain magnetic resonance imaging (MRI) and cognitive tests. Other quantitativestudies include Rimoldini and Singh (2005), who studied student understanding of rotationalmotion and rolling. Two studies focused on cross products (Deprez et al., 2019; Kustusch, 2016),which relate to torque via equation (1).Turning now to qualitative studies, Litzinger and others (2010) explored the cognitive ability ofstudents
, offering a more critical lens on the experiences of diverse students[14]. The accompanying Laanan Transfer Student Questionnaire (L-TSQ) [10], developed in 2004,remains a widely used instrument for assessing post-transfer adjustment. For example, one studyusing the L-TSQ found that women in STEM reported more academic adjustment challenges thanmen [15]. However, the survey alone does not reveal how students cope with these challenges. To explore coping processes, we apply Spencer’s Phenomenological Variant of EcologicalSystems Theory (PVEST) alongside Transfer Student Capital. PVEST conceptualizes adjustmentthrough five stages: (1) risk contributors and protective factors, (2) stress engagement, (3) reactivecoping methods, (4) emergent
framework to evaluate the effectiveness and impact of the workshops. This oversightis primarily because the authors were not directly involved in the collaboration between TheUniversity of Texas at San Antonio and Savannah State University. To address this gap, futureiterations will incorporate comprehensive participant surveys designed to measure variousaspects of the workshop experience. These surveys will assess knowledge gain by comparingpre- and post-workshop evaluations, allowing us to quantify improvements in understanding keyconcepts in computer science and cybersecurity.In addition to knowledge assessment, the surveys will gauge participants' interest levels beforeand after the workshops, providing insights into how the program may
Black University College in Maryland: Second-year student as a case studyAbstractThe integration of hands-on physics preparation in pre-engineering programs is essential forstrengthening students’ foundational knowledge, engagement, and career readiness, particularly atHistorically Black Colleges and Universities (HBCUs). This study investigates the impact ofexperiential learning approaches, including laboratory experiments, collaborative projects, andsimulations, on the academic performance and professional preparedness of second-year pre-engineering students at HBCU in Maryland. Using a mixed-methods research design, quantitativeand qualitative data were collected to assess students' engagement, conceptual understanding, andconfidence in
this level, student data often includes high school grades [24, 77, 106, 5], sometimes alongsideSAT, ACT, university admission test scores, or similar standardized assessments [24, 106]. Somestudies also incorporate demographic factors such as ethnicity and gender [78, 77, 79, 80, 5].Unlike course-level analyses, current semester performance is not considered; instead, pastsemester performance is used [24]. In some cases, current enrollment data is included[79, 78, 80], as it helps gauge semester difficulty and contributes to dropout predictions.Almost all examples, within the table, at the degree level use Random forest as one of theprediction models [24, 25, 77, 79]. SVM is also a very common model for dropout prediction[25, 77], as well as
Pathways of Engineers. Washington, D.C.: National Academies Press,2018, p. 25284. doi: 10.17226/25284. [4] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering Design Thinking, Teaching, and Learning,”J. Eng. Educ.,vol. 94, no. 1, pp. 103–120, 2005, doi: 10.1002/j.2168-9830.2005.tb00832.x. [5] C. M. Brooks and J. L. Ammons, “Free Riding in Group Projects and the Effects of Timing, Frequency, and Specificity of Criteria in Peer Assessments,”J. Educ. Bus., vol. 78, no. 5, pp. 268–272, May 2003, doi: 10.1080
learningopportunities. It discusses how participants were encouraged to explore their identity formationand its impact on STEM career development while fostering a sense of belonging and self-efficacy in their fields. Using a mixed methods evaluation and assessment approach, findingssuggest several implications: (a) an increase in participants' awareness and skills within STEMfields, potentially enhancing interest in these areas; (b) a greater understanding of social changepartnerships and their integration into higher education research; and (c) transformed practicesthat could prepare more students for STEM careers. Emphasizing educational research inengineering and community engagement, this paper discusses the critical importance ofpromoting access, respect
OT students, teamsare paired with an individual child with a mobility need.Families and children are recruited through the pediatric occupational therapy clinics around thearea. The selection criteria for participation include the weight limit of the toy; the familyavailability to participate in the assessment, fitting, and delivery of the car; and a willingness towork with the students. The students develop practical skills that are important to theirdisciplines. The OT students provide the clinical assessment and help identify the needs of thechild. The BME students then design and install the modifications needed to make the toyoperational by the child. These modifications typically include rewiring the “gas” pedal (anelectrical switch
government workforce for skilled, responsible use of AI 8. Leading globally in AI progressThis spurred widespread agency participation and reporting led by NIST, and the development ofan Artificial Intelligence Risk management framework and developed a congressionally fundeddivision for risk assessment to ensure safe AI use across agencies[29], [30]. Agency responsesto the order were efficient and within a year all agencies had complied with initial guidelines. Inaddition, NIST created an AI study section ARIA (Assessing the Risks and Impacts of AI).AIRA later issued an early report of their testing procedures and has begun responsible AI riskassessments on Large Language Models (LLMs) [30].Executive Order 14110 also led to the creation of
. Because of their impact on students, many institutions runundergraduate research experiences, encouraging both faculty and students to participate [2], [3].The most common survey used to assess UREs is the “Undergraduate Research Student Self-Assessment (URSSA)” [4]. This survey includes items to capture details about students’experiences and measure students’ 1) gains in thinking and working like a scientist, 2) personalgains related to research, and 3) gains in skills. However, this survey along with other evaluationefforts are not designed to measure how students see themselves as researchers or theirperceptions of research and researchers and instead focus primarily on skill development [4].Therefore, while the URSSA provides valuable
technologies in shaping educational assessment and curriculums. She is curious to explore more areas focused on the intersection of education and technology.Dr. Ethan E Danahy, Tufts University Dr. Ethan Danahy is a Research Associate Professor at the Center for Engineering Education and Outreach (CEEO) with secondary appointment in the Department of Computer Science within the School of Engineering at Tufts University. Having received his graduate degrees in Computer Science and Electrical Engineering from Tufts University, he continues research in the design, implementation, and evaluation of different educational technologies. With particular attention to engaging students in the STEAM content areas, he focuses his
by themand the differential equations.The web application was assessed in a senior level course, and students had a positive reaction tothe application, with many wishing they had been able to use it earlier in the course. We found thatover 91% of users were satisfied with the process of creating the system diagram along with savingand opening the same. All other features earned positive reactions from at least 95% of users. URLgeneration had the highest satisfaction rate, with a favorable reception from 100% of users. Moststudents’ dissatisfaction came with small user interface and backend bugs. Students also requestedimprovement of a few features, such as labeling system diagram elements with hover text, andasked that some features, such
specialist for Dr. Tamara Moore and the SCALE K-12 microelectronics education initiative.Kristina Maruyama Tank, Iowa State University of Science and Technology Kristina M. Tank is an Assistant Professor of Science Education in the School of Education at Iowa State University. She currently teaches undergraduate courses in science education for elementary education majors. As a former elementary teacher, her reseDr. Greg J Strimel, Purdue University at West Lafayette (PPI) Greg J. Strimel, Ph.D., is an assistant professor of Technology Leadership and Innovation and coordinator of the Design & Innovation Minor at Purdue University. Dr. Strimel conducts research on design pedagogy, cognition, and assessment as well as
science research projects. Additionally, students participate inextensive pre-departure training, professional development workshops, scientific and publicpolicy events, career readiness workshops and present their work at the annual BMES meeting inOctober. A complete overview of the program structure and timeline is presented in Table 1.Pre-departure training. The first step to ensuring students are able to effectively contribute totheir projects begins with the assessment of the students’ application materials. The PI andforeign mentors assess the candidates’ academic background, personal experiences and passionfor scientific research and extend offers to students who have the technical foundation andpersonal maturity to succeed during their
an engineering student. The intervention was refined inSummer 2024 in collaboration with two graduate student partners and six undergraduate studentpartners. The intervention was implemented in the following semester, and data was gathered todescribe the participants and assess the effectiveness of the intervention.Modules: The year one intervention consists of four modules to deliver the training in four classperiods within the first seven weeks of the semester. Each module guides students to use SRLwhile completing a different challenging major task, and includes instructional material, an in-class group activity, and a homework assignment, as detailed in Table 1. Table 1: Modules Delivered in the First Seven Weeks of
engineering notebooks compare to physicalnotebooks and how they can enhance student learning while preparing students for professionalenvironments that rely on digital documentation. The initial phases of this project includeobserving how technology, engineering, and design education students at a large land-grantuniversity in the southeastern United States utilize digital notebook tools compared to physicalnotebook tools during design challenges. Data will be gathered through de-identifiedsubmissions of digital notebooks and anonymous student feedback to assess the usability,benefits, and challenges of these tools. From there, a template will be constructed for use inpre-college engineering education environments. Key areas of investigation