society.Over the past few years, a team of faculty and students at Duke University have developededucational materials to develop and support faculty and student skills to do the important task of“needs finding.” For this paper, we will share a series of modules that support the followingeducational learning outcomes: 1) identify needs through observation; 2) identify needs throughinterviewing; and 3) write well-scoped need statements. Note that these materials can be usedacross all engineering disciplines and their design courses.A series of modules have been created for each of the learning outcomes. Each module containsfour to nine videos, multiple in-class exercises, and instructor resources. Together, the modulescould fill up to half a semester
evaluateperformance predictors. This system, while still in development, points towards future researchdirections in engineering education, exploring users’ affect-performance associations toimprove educational interventions, thereby offering more tailored and refined educationalexperiences. Keywords—Affect, educational assessment tool, personalized educational experiences, e-learning, learning system, real-time interventions, education technology. i. introduction Educational landscapes are evolving to be more flexible, adaptable, and technological [1]. Inthese tech-driven learning environments, the capacity to gather and analyze novel data enablesthe optimization of the learning experience. Researchers have explored diverse indicators suchas
and learn moment to moment in the laboratory. The practices students engage in during thelaboratory task may change and evolve to address different gaps.This analysis looks to observe how engineering epistemic practices are used by students to identify andfill gaps when completing a virtual laboratory activity. We seek a characterization that more expansivelyinterrogates laboratory activity than the acquisition of knowledge and skills. In this work we will seek toanswer the following research questions: 1. What epistemic practices does a team of undergraduate engineering students utilize during an industrially situated environmental engineering virtual laboratory task? 2. What gaps does the team identify in order to
assessment;artificial intelligence in educationIntroduction Research indicates that college and engineering students often lack essential skills requiredby employers, such as communication, decision-making, problem-solving, leadership, emotionalintelligence, and social ethics [1], [2]. This gap between college preparation and career demands isparticularly evident in the engineering field, where technical knowledge is prioritized over softskills like creativity, innovation, leadership, management, and teamwork [3]. Moreover, the shiftfrom traditional instruction to skill-based curricula has gained momentum in educational settingsto center the learner in education. This approach encourages students to engage in hands-onactivities, problem
can do engineering. Engineering Studies, 12(2), 82-103. https://doi.org/https://doi.org/10.1080/19378629.2020.1795181Secules, S., Gupta, A., Elby, A., & Turpen, C. (2018). Zooming Out from the Struggling Individual Student: An Account of the Cultural Construction of Engineering Ability in an Undergraduate Programming Class. Journal of Engineering Education, 107(1), 56-86.Secules, S., McCall, C., Mejia, J. A., Beebe, C., Masters, A. S., L. Sánchez‐Peña, M., & Svyantek, M. (2021). Positionality practices and dimensions of impact on equity research: A collaborative inquiry and call to the community. Journal of Engineering Education, 110(1), 19-43.Sochacka, N., Walther, J., Wilson, J., & Brewer, M
will also be reviewed to consider whether this impactdiffers for diverse student populations. This study is an early investigation into the impact ofcourse structure on retention in engineering that will be used to help guide future work aimed atoperationalizing how faculty can adjust their course structure to improve retention in engineeringprograms on a broader scale.IntroductionEngineering degrees are notoriously difficult to complete, with studies reporting that just overhalf of the students who embark on a journey toward an engineering degree actually complete it[1]. Despite ongoing attempts to improve this situation, this trend has unfortunately not seen anysizable changes of late [2]. Studies have confirmed that lacking the academic
Room was often at capacity during tutoring hours. Peertutors are a low-cost, community building way to provide more resources for student success.The implementation of ICPT has improved the peer tutoring program at University of Portland,and we plan to continue implementing ICPT in other classes and engineering disciplines.Paper Type: Evidence-Based PracticeKey Words: tutoring, peer learning, conceptual understanding, multidisciplinaryIntroductionPeer tutoring has been used extensively in the past 20 years, and many studies have shown that itis beneficial to student learning [1]-[5]. Peer tutoring is particularly helpful in the first two yearsof engineering, when most students leave engineering for other majors [6], [7]. Peer tutoring
someinsights into what item characteristics are related to item stability through the newly developedexploratory graph analysis (EGA; Golino & Epskamp, 2017) and bootstrap exploratory graph analysis(bootEGA; Christensen & Golino, 2021a), which provides a way to isolate the potential confounding ofsample differences. Specifically, using an engineering interest measure as an example, we explored therelationship between item stability and the following item characteristics: 1) network loading, 2) itemredundancy, 3) item mean, 4) item-total correlation, 5) item discrimination, and 6) item location. Theseindices were selected as they measure different aspects of item quality from different measurementframeworks, including network psychometrics
mathematics courses offered to all first-year Cadets at our university. Thisexpanded inquiry allows us to address three research questions: 1. Do we see the same instance of positive grade outcome for Cadets who are more closely aligned with their instructor for the advanced mathematics program? 2. Is there a similar correlation between instructor-student alignment in learning styles and overall student performance across first-year mathematics courses? If so, then... 3. Should we consider how we section our Cadets to assist in their success in their first-year mathematics programs, leading to a solid foundation for their engineering education? Assumptions
preparing students to meet the growingneeds of the industry and contribute to regional and global technological advancements.II. Introduction Focusing on theoretical knowledge dominates the engineering education landscape [1].However, the rapid changes in the modern world render this approach increasingly inadequatefor the engineering industry's needs [2]. This highlights the urgent need for a shift in educationalmodels to better equip students for real-world challenges [3]. In response to the need for moreauthentic engineering education, Innovation Based Learning (IBL) was developed. IBL is aneducational system encompassing various elements such as mastery, peer learning, review,mentorship, tokenized curriculum, and more [4]. Its core
Education, also from Virginia Tech. ©American Society for Engineering Education, 2024 Nontraditional students in engineering: Persona developmentIntroductionOver the past few decades, there has been a change in the general college population. What useto be a very “traditional” population, where students were coming straight from high school andwere primarily focused on school full-time, is now quite rare. The stereotypical image of acollege students is not in fact the reality anymore.The National Center for Education Statistics has found that between 1995 to 2012, more than 70percent of all undergraduates had at least one nontraditional characteristic [1]. Nontraditionalstudents’ experiences are rarely
instructors' teaching. In this article, we will delve into thedevelopment, implementation, and challenges faced by the student observer initiative. Thecollected data shows highly positive feedback from both students and faculty regarding thisprocess.Keywords: Student Observers, Teaching Evaluation, Electric EngineeringIntroductionStudent evaluations of teaching (SETs) have long been a cornerstone of assessing facultyteaching effectiveness in higher education. There has been a plethora of research on SETs inliterature dating back to the early 1900s [1], [2]. SETs data are often used for various purposes,such as improving teaching, informing curriculum development, rewarding or promoting faculty,and satisfying accreditation requirements. Different
there are a myriad of reasonsthat instructors may decide to forgo live demonstrations, two common reasons for doing so arethat they doubt the effectiveness of live demonstrations, or that the time required to develop andimplement an effective demonstration prohibits instructors from utilizing them.As a result of the COVID-19 pandemic, instructors around the world were forced to adapt theircourses to be delivered remotely. While the vast majority of classes have returned to traditionalin-person formats, instructors retain the skills required to produce effective teaching videos. Ithas been shown that online laboratory activities can have some unique advantages [1]. Thispresents an opportunity for instructors to develop pre-recorded demonstration
joined the Center for Automation Technologies at Rensselaer Polytechnic Institute, as a Research Scientist, where he focused on precision robotics and micromanufacturing. In 2004, he became an Assistant and then an Associate Professor of Electrical Engineering at the University of Texas at Arlington. Since 2016, he has been the Vogt Endowed Chair in Advanced Manufacturing and a Professor of Electrical and Computer Engineering at University of Louisville. Dr. Popa’s research in focused on two areas: 1) social and physical human–robot interaction through adaptive interfaces, robot tactile skins, and facial expressions; and 2) the design, characterization, modeling, and control of microscale and precision robotic systems
objectives” [1]. Moreover, teamwork andleadership skills are must-have qualifications for engineering graduates entering the workspacein industries, a fact well recognized by the higher education community [2][3]. It is paramountfor engineering programs to include teamwork-related content and training in the curriculum[4][5][6] and implement a process to assess the attainment of SO #5.In our ECE program, teamwork has been introduced to students in the curriculum as early as inthe first-year freshman-level ECE introductory lab course. Moreover, measures and assessmentdata from this introductory class, along with data from several higher-level ECE courses, havebeen used to gauge the attainment of SO #5. The assessment results from this introductory
)IntroductionFor the past several years, a community of ECE programs from Minority Serving Institutions(MSIs) has seen the need for a set of guidelines to improve the chances of success when theycollaborate with strong Predominantly White Institutions (PWIs), especially those with VeryHigh Research Activity (Carnegie R1). Based on a wide variety of experiences, including anexceptionally productive workshop series on Anti-Racism Practices in Engineering, a rubric wasdeveloped that offers a simple approach to applying such a set of guidelines. The rubric is foundin the appendix, and its development and some additional discussion can be found in earlierpapers [1]. This idea is likely to remain a Work in Progress for quite some time, especiallybecause it
Disaster. ➢ The Bhopal Disaster. ➢ The Deepwater Horizon Oil Spill. ➢ The Flint Water Crisis. ➢ The Toyota Acceleration Controversy. ➢ The Fukushima Daiichi Nuclear Disaster. ➢ The West Virginia Chemical Spill. ➢ The Grenfell Tower Fire.Although unethical actions in these cases are simply recognizable, they highlight the importanceof ethical considerations in engineering, and the need for engineers to prioritize safety,transparency, and accountability in their work.Advanced ethics moduleThe advanced ethics module has been integrated into our capstone design course. The objectiveand outcomes of this module include: 1. Help students analyze key ethical concepts and principles. 2. Help students deal with
stipends), mentoring and other personalized transitionsupport, professional guidance, and community engagement.The 2TO4 network of community colleges (CCs) consists of 20 sub-networks built around the 204-year HBCUs, HSIs and TCUs that form most of the core membership of IEC. Generally, asmall number (1-3) of CCs located near a core member educate a few students who transfer tothe local 4-year MSI ECE program. Some IEC core members have well-developed relationshipswith their local CCs and see much larger numbers of transfer students. The vision of 2TO4 is todouble the total number of students following this pathway to their BS degree in ECE by sharingpromising practices and providing robust transition support infrastructure and increased
high priority for ourfuture engineers, today’s engineering students should be well trained to come up with ideasculturally and tackle problems in creative ways. In this regard, the critical challenge lies in howto effectively infuse CPS into the engineering curriculum without compromising the existingstandards and how to overcome barriers that impede the integration of CPS in engineeringeducation.Typically, CPS model involves five stages, namely 1) facts-finding, 2) problem-finding, 3) idea-finding, 4) solution-finding and 5) acceptance-finding13,14. At the stage of “Facts/ProblemFinding”, students will identify problem or challenge and start to collect information and developa clear understand of it. The “Idea Finding” phase is to generate
measurements.Results indicated that while LiDAR offered strong visualization and measurement capabilities, issuessuch as data quality and the need for training could adversely impact the learning experience.IntroductionThe application of sensing and mapping technologies in the construction industry is growingrapidly. From handheld laser scanners to state-of-the-art mapping equipment, remote sensingtechnology is now a crucial part of the as-built condition assessment, progress report preparation,and quality control in the construction industry. Surveys from professional CMs and constructionindustry employers evidence the demand and expectations for levels of proficiency andfamiliarity with this technology [1].Many researchers have studied the effect of
approach to production, which focuses primarily on the automation, digitization, and real-time connectivity of production systems, opens up a new era of production in Industry 4.0 [1]. Amongthese revolutionary technologies, OpenAI has developed a cutting-edge language model, ChatGPT, whichis a groundbreaking language model because of its ability to create coherent and contextually relevantfiles. Its capability extends to writing essays, gathering domain insights, drafting e-mails, providingcustomer support through chatbots, creating blogs and files, drafting resumes, assisting with coding andprogramming tasks, summarizing lengthy texts and files, and providing creative writing help and tips.Some studies have shown that it is even capable of
assessment.1 IntroductionOver the last two decades, the field of computing has been concerned with diversifying thediscipline to better reflect the domestic composition of the US society at large [1]. Given thelucrative jobs in computing, this could be a tool to address the socio-economic disparities inexistence and help improve the social mobility of people from marginalized groups. But thecomputing discipline also benefits from diversifying its workforce. The common news of yetanother system implementing discriminatory practices (e.g., loans, sentencing, facial recognition)has shown that participation from a broader section of the population is a requirement for us toproduce better tools and services.Unfortunately, conversations about equity are
interests are in (1) design at the interface of social and physical phenomena, (2) computational methods and tools for digital engineering, and (3) secure design and manufacturing. He is a recipient of CAREER award from the National Science Foundation (NSF); Young Engineer Award, Guest Associate Editor Award, and three best paper awards from ASME. He has served on the editorial board of international journals including ASME Journal of Mechanical Design, ASME Journal of Computing and Information Science in Engineering.Daniel Delaurentis, Purdue University Dr. Daniel DeLaurentis is Vice President for Discovery Park District (DPD) Institutes and the Bruce Reese professor of Aeronautics & Astronautics at Purdue
Center for Teaching and Learning. She practices mindfulness meditations rooted in Theravada Buddhist tradition and has been incorporating mindfulness practices in her classes since 2019. ©American Society for Engineering Education, 2024 Learning Map Framework to Align Instruction and Improve Student Learning in a Physics-Engineering Mechanics Course SequenceMotivationPrerequisite course sequences are ubiquitous in post-secondary engineering education [1]. Forundergraduate students to succeed in their degree, they must retain and transfer learning fromtheir prerequisite coursework into new and more advanced learning contexts. If knowledgetransfer is incomplete, students may struggle in subsequent
Engineering Educators tocomplete the registration process in ENTER.KeywordsEngineering educator, professional registry, rubrics, ENTER.IntroductionIn the past 20 years there has been a call for change in Engineering Education to prepareengineers to face global challenges and a fast-changing world. The Engineering DeansCouncil and Corporate Roundtable of the American Society of Engineering Education(ASEE) issued in 1994 the ASEE Green Report [1] detailing an action plan that focused onpartnership to make engineering education more than teaching the fundamentals ofengineering theory, experimentation and practice but also make it relevant, attractive. andconnected. In 1995 the National Research Council (NRC) Board of Engineering EducationReport [2] led
Institutions(LACCEI).LACCEI, founded in 2003, is a nonprofit organization consisting of institutions that offeracademic programs in Engineering and Technology with the goal of collaborating withother LACCEI partners. The mission of LACCEI is to facilitate and promote globalcollaboration in the advancement and continuous improvement of engineering andtechnology education, practice, research, and innovation, linking Latin America and theCaribbean to the rest of the world [1]. In 2005, in Rio de Janeiro, the Organization ofAmerican States (OAS) selected LACCEI as part of the "Engineering for the Americas(EftA)" action plan to advance the accreditation and quality assurance of engineeringprograms in the Americas [2]. Today, the LACCEI has more than 250
instructional techniques, using think-aloud interviews and video analysis. She has an EdD from the University of Massachusetts in Science and Mathematics Education Research. She also has an MA in Liberal Studies focusing on physics education research and educational technology, and a BS in Physics, both from SUNY Empire State College. ©American Society for Engineering Education, 2024Supporting Secondary Students’ Engineering Front-End Design Skills withthe Mobile Design StudioIntroductionToday’s young learners face a future riddled with challenges, including access to clean water [1],increasing biodiversity loss [2], and climate change[3]. These challenges are particularly thorny becausethe underlying problems
work. We seek to answer the following research questions: How do various settings (e.g,home, university, computing courses, S-STEM projects) support or inhibit the developingcomputing identities of women who may experience multiple forms of marginalization due totheir racial or ethnic identities? How do these experiences influence their persistence?Research Problem & Theoretical FrameworkAlthough the proportion of women and underrepresented racial and ethnic minorities in theSTEM workforce is increasing, representation remains an issue in computing and engineering[1]; [2]. A key factor in persistence is STEM identity, and more broadly, the degree to whichstudents feel a sense of belonging at college and within their majors [3]-[6]. Women
course. In this paper, we summarize the results of surveys completed by students whohave taken or are currently taking the Statics course to identify the impact of these changes. Inparticular, we defined four different metrics to determine the impact of incorporatingcomputational tools in this course: 1) effectiveness of the computational exercises in buildingPython skills; 2) students’ confidence level in solving statics problems; 3) students’ attitudetowards the importance of computational tools; and 4) students’ satisfaction regarding the revisedcurriculum. Our survey findings show that students feel their computational skills have improvedduring the semester, boosting their confidence in using these skills to solve statics
education, the use of rubrics for assessing senior-level data andinformation presentation, particularly in courses like senior design capstone, has become acommon practice. While rubrics provide structured frameworks, enhancing fairness andtransparency, there is a growing body of literature and critics who challenge their universalapplication. Many publications, ranging from the general idea of rubrics [1-2] to concerns aboutill-designed and poorly implemented rubrics being more harmful than beneficial, underscore theneed for a nuanced examination of their role [4].In addition to these criticisms, a considerable body of literature argues that sharing explicitcriteria with students, a fundamental aspect of rubrics, is inadequate and can lead to