assessments of training effectiveness and workforce demandindicates that preparing technicians for this transition requires projections are needed to refine educational strategies andtargeted training programs and collaboration between align them with industry developments [24].government agencies, educational institutions, and industrystakeholders [11]. However, existing literature highlights gaps In conclusion, the literature underscores the importance ofin understanding these training programs' effectiveness and structured and adaptive training programs for EV technicians.regional variations [12]. While the NEVI program provides a foundation for workforce
behaviors are mainly located at 3_Mechnical Use[9], [10]. At this level, instructors begin to change and are struggling with the initial steps relatedto logistical implementation and skill acquisition [10]. This work-in-progress paper aims toanswer the research question: What behaviors and experiences do instructors report in theunprecedented transition that pertain to early implementations of online active learning issuesand solutions?MethodsParticipantsThis study is part of a research project on the intervention in instructors’ adoption of activelearning, and the larger project recruited instructors who taught first- or second-year STEMcourses at 56 institutions in the US [14]. In the summer of 2020, we invited forty STEMinstructors from ten
each student’s progress on learning outcomes.Furthermore, the instructor can provide learning experiences for each student in the class. Bychanging a course from lecture based to lecture based tutoring, the student ratings of theinstructor improved by a statistically significant amount.KeywordsActive Learning, Lecture Based Tutoring, Student Ratings1. IntroductionResearchers publish numerous papers and books on techniques and methods to improve studentlearning. From improved projects [Johnson (1999), Easton and Cassone (2006)] to activelearning techniques [Silberman (1996), Myers et al. (1993), Prince (2004)], the amount ofresearch done in improving learning is extensive. The goal of active learning techniques is tohelp students master the
581 Design of a Spatial Visualization App for Increased Student Engagement Lelli Van Den Einde, Nathan Delson, Sean Patno, Jason Hyunjin Cha, Elizabeth Cowan, and Jessica Cho University of California, San Diego, CAAbstractHand sketching of isometrics and orthographic projections is an important skill for conceptgeneration and team brainstorming. In addition, hand sketching skills increase spatial visualizationabilities, which have been correlated with increased GPAs in math and science. In an effort toteach freehand
onnon-traditional students in foundational engineering courses that have potential to leave theengineering pathway without additional social and academic support early in their academicplan. The project offers peer support through small group activities in online foundationalengineering courses that incorporate structured active learning sessions to enhance theengineering content [1] [2] [3]. These types of active learning scenarios have potential tostrengthen STEM competencies to increase students’ academic persistence [4] [5]. Persistence inengineering pathways is contributed to students’ acclimation and mindset to accomplish theireducational goals [6] and enter the engineering workforce [7]. This paper specifically examinesthe qualitative
easier and faster. (At NC State, the Office of Student Conduct has reduced the length of probation to encourage more faculty to report cheating – though this reduces the penalties.)But none of these bullets make the reasons to cheat go away. And many of them overloadprofessors. We can dissuade cheating a bit by raising the stakes, but it won't work in the long run.So then what? Here is our call to action.Along with the growing concern about our student’s uses of AI, the time has come to heed the callfor active learning, problem-based learning, and mindset changes. In truth, only remaking theassignments into something that students need and value will in the end stop them from copying. ● We need open-ended projects where every
] Furner, J. M., & Gonzalez-DeHass, A. (2011). How do students’ mastery and performance goals relate to math anxiety?. Eurasia Journal of Mathematics, Science and Technology Education, 7(4), 227-242. https://doi.org/10.12973/ejmste/75209[7] Tessier, J. T. (2012). Effect of Peer Evaluation Format on Student Engagement in a Group Project. Journal of Effective Teaching, 12(2), 15-22.[8] Chen, Y., & Lou, H. (2004). Students' perceptions of peer evaluation: An expectancy perspective. Journal of Education for Business, 79(5), 275-282. https://doi.org/10.3200/JOEB.79.5.275-282[9] Guenther, C. L., & Miller, R. L. (2011). Factors that promote student engagement. Promoting student engagement, 1, 10-17.[10] Holland, N., &
tools for your studies or projects? • Yes • No [If No, skip to Q7] 7. Which platform(s) do you use? [ChatGPT, Perplexity, GEMINI, CLAUDE, MS Co-Pilot, Others] 8. How frequently do you use these tools? • Daily • Weekly • Monthly • Rarely • 9. On a scale of 1 to 5, how easy is it for you to use generative AI tools? [1 = Very Easy, 5 = Not easy at all] 10. On a scale of 1 to 5, how would you rate the overall improvement in your learning experience due to generative AI tools? [1 = No improvement, 5 = Significant improvement] 11. How do you perceive the role of generative AI tools (e.g., ChatGPT) in your education
Horizon Project Sector Analysis. ERIC, 2013.[15] J. Miranda et al., "The core components of education 4.0 in higher education: Three case studies in engineering education," Computers & Electrical Engineering, vol. 93, p. 107278, 2021.[16] N. Blinn, M. Robey, H. Shanbari, and R. R. Issa, "Using augmented reality to enhance construction management educational experiences," in Proceedings 32nd CIB W078 Workshop, Eindhoven, The Netherlands, 2015, p. 8.[17] Z. H., "Using 3D Hologram to Improve Classroom, Project, and Laboratory Demonstration: A Proposal for 2017 Innovations in Teaching Using Technology Grant. ," Rowan University, College of Engineering, 2017.[18] T. Consoli, J. Désiron, and A. Cattaneo
, and the EdinburghEngineering Virtual Library, UK. USA, 5 p., Vol. 3., May 2002[5] Ranky, P G, Herli Surjanhata, One-Jang Jeng, Geraldine Milano: The Design andImplementation of Digital Educational Knowledge Assets (DEKA) with SoftwareDemonstration (An NJIT and Industry Sponsored R&D Project. ASEE (AmericanSociety of Engineering Education) NJ Spring Conference, April, 2001 (eProceedings)[6] Ranky, P G, Ranky M F, Flaherty, M, Sands, S and Stratful, S: Servo PneumaticPositioning, An Interactive Multimedia Presentation on CD-ROM (650 Mbytes, 330interactive screens, 70 minutes of digital videos, animation and over 300 photos),published by CIMware (IEE and IMechE Approved Professional Developer), March1996. Multimedia design & programming
solve. The second class the used. selecting complexity is determined by the program languages, 2. Project Metrics that are used to monitor project the problem modeling methods and the software design situation and status. And identify risk. E.g.. Staff methods. Lastly, The incidental complexity is determined by number and their patterns, cost, etc… the quality of the involved implementer.[7] The most common 3. Product metrics describe the attributes of the software used complexity metrics are Halstead metrics which product at any phase of its development. [10] Metrics introduced in 1977 by
this operational paradigm provides doctoral studentswith the technical knowledge and skills to create research output, there is no inherent pathway inthis structure to provide students with skills to identify research topics that create additionalsocio-economic value. Some PhD students are supported as research assistants within an existinggrant-funded project and mostly work on fulfilling the established objectives of that project.Other students, who are supported as fellows or teaching assistants, might be given morefreedom to select their research topic. However, it is typically assumed that the research area ofthe PhD advisor is inherently valuable, and the PhD student operates as if the PhD advisor is theend user of the research. Students
discussions,problem-solving tasks, and other non-traditional teaching practices. Such observations are partic-ularly relevant in engineering education, where instructional methods must often address the cog-nitive demands of design thinking and problem-solving. Additionally, these methods help identifychallenges such as student resistance to active learning, a common barrier in STEM classrooms[2].Despite their benefits, many observational protocols have limitations. Some protocols struggleto address the complexity of engineering classrooms, which frequently involve project-based andproblem-based activities that demand higher-order cognitive skills. Observer reliability and thestructured nature of protocols also present challenges, as variability in
applications of autonomy to the maritime environment. ©American Society for Engineering Education, 2025Engineering for One Planet Sustainable Engineering Leadership Microcredentialthrough General Education Credits with Maritime TargetsBackgroundThis paper details the first stages of a pilot project to generate meaningful student experienceswithin the general education experiences of students at a maritime-focused institution. Theprimary goal of this effort is to create engineers who are trained to see their non-major courses asboth meaningful and impactful for their careers while learning how to mentor others. This will beaccomplished by collaboratively developing a series of courses offered outside of theengineering
vehicle safety data acquired over theyears. We focus on this technology’s governance and regulation within the United States. Ourresearch focuses primarily on the development and implementation of a female crash testdummy, which currently has the dimensions of 4’11’’ and weighs 108 pounds, while the averageAmerican female is 5’4’’ and 170 pounds. This project explores the meaningful representation incrash testing to improve safety outcomes for all occupants, and has policy implications onpregnant women, people of different ages, people with disabilities, children and infants. Weinvestigate, from a variety of perspectives, the various ways that transforming forces influenceddecisions in this area. We explore how both the engineering and the
panel approval of any updates following the pilot testing. Followingthis, we plan to disseminate our definition and framework more broadly to our education andindustry partners, as stated in the NSF proposal. This dissemination will occur in the form ofeducational/professional development modules and seminars/information sessions with thesepartners. This will naturally result in further “testing” and validation of the framework anddefinition. We will recruit additional industry partners (beyond the panel members) atconferences and through our professional contacts to assist in dissemination and validation.References 1. Cleland, D. (1990). Project management: Strategic design and implementation. New York: McGraw-Hill, 333-334. 2
. Additionally, she serves as a research assistant in the Immersive Learning Lab, where she contributes to projects at the intersection of technology and education, creating innovative tools that foster interactive and engaging learning experiences. ©American Society for Engineering Education, 2025 [WIP]: Building a self-guided Virtual Reality learning tool for ElectromagnetismAbstractThe three-dimensional nature of electromagnetism concepts does not translate well totwo-dimensional platforms, making it difficult for students to build intuition about thesephenomena in traditional learning settings. Virtual Reality (VR), a simulated three-dimensionalenvironment, offers an
Workforce Supply and Demand Report by the U.S.Cybersecurity Workforce Data Initiative of the U.S Government (published in May of 2024) showsthat the cybersecurity workforce currently ranges between 164,000 and 3,492,000 workers out ofan estimated total of 161,052,000 workers in the United States [6]. Nationwide, the report by U.S.Bureau of Labor Statistics on Information Security Analyst (ISA) job category indicates a 33%projected percent increase in the employment from 2023 to 2033 while the average growth rate forall occupations is 4%. The expected employment increase from the year 2022 to 2033 is 59,100jobs [7]. As the number of employment opportunities increases, the university offerings ofcybersecurity related programs also increase therefore
formativeapproach, with multiple components contributing to the final grade, including assignments,projects, class participation, and exams.Comparison of Faculty RolesFaculty Development and RecognitionFaculty development and recognition are key factors influencing teaching quality and researchoutput [20], [21].UK: • Professional Standards Framework (PSF): The PSF provides a framework for recognizing and rewarding teaching excellence in higher education. Many universities incorporate PSF training into PhD programs and offer fellowship awards to acknowledge teaching quality [22]. • Emphasis on Research for Promotion: Despite efforts to recognize teaching excellence, research output remains a primary factor for career
attack for their explicitchallenge to the social and structural status quo.Additionally, the theory of intersectionality postulates that the experiences ofmultiply-marginalized individuals will be overlooked by any theory that focuses on a singleidentity-based attribute; alternatively, the compounding experiences of oppression must also beconsidered in order to achieve liberation for all people [21, 22]. This framework was pioneeredby Kimberlé Crenshaw as a means of understanding the compounding effects of discriminationagainst Black women on the bases of both gender and race. Intersectionality is more frequentlybeing applied in engineering education research in recent years (e.g., [23, 24]). While theeducational research in this project
students to comprehend complexconcepts, new resources were also made available. Previous studies have demonstrated theefficacy of virtual reality in providing opportunities for student participation [1]. California StatePolytechnic University Pomona has invested in state-of-the-art Virtual Reality (VR) laboratoryfor thermal fluids. This project explores the efficacy of an enhancement, the incorporation of anArtificial Intelligence (AI) assistant. The AI was created so it can assist students in bridging gapsbetween theoretical understandings and engineering practice, while also expanding access to awider range of students. In practice, we are evaluating for student performance, studentunderstanding, and student experience.Recent data from 2020-2023
evident through his teaching of various computer science courses, ranging from data structures to advanced database systems. He founded the Multimedia Information Group Lab at San Jose (MIG Lab@SJ), which drives research in medical image analysis, SQL auto-grading, and enhancement of prediction models for ServoSphere projects. ©American Society for Engineering Education, 2025 [Work-In-Progress] An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI ScanAbstractMagnetic resonance imaging (MRI) enables non-invasive, high-resolution analysis of musclestructures. However, automated segmentation remains limited by high
teaching students about the value of data analysis, process management, andoptimization. This project introduces students to the complex nature of engineering andcomputing, demonstrating how these fields influence daily life. This study describes the designand implementation of the Coffee Lab activity and discusses its compatibility with educationalobjectives in ECE and CS. It demonstrates how the activity incorporates key engineering topicsin an entertaining and interactive style. It also gives preliminary results from its execution, whichshow how the exercise affected students' opinions of engineering and computing as career paths.This approach, which provides a real and engaging introduction to engineering and computerscience, represents a
Paper ID #46477BOARD #101: Work In Progress: Enhancing Active Recall and Spaced Repetitionwith LLM-Augmented Review SystemsMr. Muhammed Yakubu, University of Toronto Final year Computer Engineering Student at the University of TorontoMr. Jasnoor Guliani, University of TorontoMr. Nipun Shukla, University of Toronto Final year student at the University of Toronto.Dylan O’TooleDr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to
Paper ID #49435BOARD #125: Exploring the Role of Artificial Intelligence Tools in EnhancingCritical Thinking Skills in Engineering Prototype DesignNan CuiDr. Ibrahim H. Yeter, Nanyang Technological University Ibrahim H. Yeter, Ph.D., is an Assistant Professor at the National Institute of Education (NIE) at Nanyang Technological University (NTU) in Singapore. He is an affiliated faculty member of the NTU Centre for Research and Development in Learning (CRADLE) and the NTU Institute for Science and Technology for Humanity (NISTH). Dr. Yeter serves as the Director of the World MOON Project and holds editorial roles as
Paper ID #47679BOARD # 287: NSF S-STEM: Advancing STEM Undergraduate Successand Persistence through Scholarship, Mentorship, and Increased Sense ofBelongingDr. Jen-Mei Chang, California State University, Long Beach Jen-Mei Chang is a Professor of Mathematics at California State University, Long Beach. She is also co-author of the book, The Power of Mathematics Workbook with Notes. She has been involved as a PI or Co-PI of three NSF S-STEM projects, DUE-0966039, DUE-1833753, and DUE-2322416.Dr. Jelena Trajkovic, California State University Long Beach Jelena Trajkovic received her Ph.D. (2009) and MS (2003) in Information and
% white 99% 12% 34% G 62% White, 27% Latino, 8% Black 85% 13% 26% H Data not publicly available* SAT exceeds 530 math, 480 verbal, ** percentage of grads who enroll within 6 monthsAcross the two years of the project, the university co-instructor was present for seven of the totalof 12 sections of AP CSP offered. Two of the eight teachers were trained via the co-teachingmodel prior to the beginning of the current CSforAll award as part of a larger effort thatdeveloped teachers of two other engineering courses, in addition to AP CSP. Goals of programinclude building awareness and interest in tech fields through field trips, guest speakers, andconnecting students to related
. Currently, she is a postdoctoral scholar and project director for an NSF-funded research study led by the ACCEYSS Research Group in the Department of Organization, Workforce, and Leadership Studies (OWLS) at Texas State University. Dr. Hough’s research includes cultural capital among Black and Hispanic women in computing, work-based learning in secondary schools, and career and education planning and decision-making among young Black women. In addition to conducting education-centered research, Dr. Hough shares her expertise as a part-time lecturer, teaching introductory leadership and STEM education program evaluation courses in the OWLS department. Her passion is empowering young people with valuable knowledge, skills
engagement, and talent development activities. It is expected that thecombination of all these elements implemented will increase their self-efficacy, solidify theiridentity as engineering professionals, and impact their persistence toward degree completion [1-5]. The funded scholars are supplemented by the inclusion of additional students who can receiveall SEED services other than scholarships. These additional students are selected from the groupof scholarship applicants and are positioned for consideration for future funding through theprogram should there be attrition in the pool of funded SEED scholars.An important objective of the project is for SEED scholarship recipients and non-funded guestscholars to participate in carefully scoped and
,attributed to the complexity of chip design and the substantial labor challenges it entails.Recognizing the need for a comprehensive approach, semiconductor companies seek to enhanceworkplace attractiveness to compete for top talent. Amidst this challenge, an economicacceleration and development initiative in a Midwestern state has developed a semiconductorhigh school summer program as a pioneer educational initiative projected to inspire futureworkforce in the semiconductor industry. Developed by a Community College and a largeMidwestern Research University, this summer program aims to cultivate technical, operational,and engineering careers for the region's semiconductor industry.In response to the growing demands of the semiconductor industry