performance [1]. High-achieving studentsdemonstrate self-regulated learning by consistently engaging with academic resources [2]. Inresponse, universities have expanded the variety of academic resources available to students andhave designed a variety of interventions to improve student resource engagement. For example,some interventions work to improve student understanding of the available resources by providingall students with regular advising sessions in first-year seminars [3] Others acknowledge the needfor support structures that connect to students’ identities [4].But personal [5], social [6], and institutional [7] barriers can influence student help-seekingbehaviors and hinder the effective use of academic resources. Past studies have
technological demands, thus ensuring thatstudents are better prepared for professional challenges upon graduation. UIC models includeguest lectures, field visits, internships, and industry-sponsored capstone projects, and researchsponsorships [1]. These partnerships are mutually beneficial, providing students with real-worldapplications of theoretical concepts and helping industries recruit and retain skilled engineers infields such as power and renewable energy.This paper builds on this premise by showcasing a successful example of UIC-drivenexperiential learning. At the heart of the 2024 Exploring Renewable Energy EngineeringSummer Camp held at George Mason University was a dynamic partnership between academiaand leading energy companies. Through
education to help overcome the common misconception that onlinelearning is a solitary, self-paced, non-instructor led activity [1], and it retains the social andparticipation aspects that are a key factor in the success of online learning [2]. The 2010 meta-analysis performed by the U.S. Department of Education [3] found that, on average, students inonline learning conditions performed modestly better than those receiving face-to-faceinstruction. Moreover, using the live interaction instruction possible with Zoom and BlackboardCollaborate could help address the Sloan-C quality elements including learning and costeffectiveness and institutional commitment, access, faculty and student satisfaction [4].IntroductionAlthough the successes and student
innovation to better prepare a diversepopulation of engineers capable of addressing the sociotechnical opportunities and challenges ofthe future [1]. Much of this conversation has traditionally centered on preparing engineeringstudents with both the technical and professional skills needed to tackle these sociotechnicalchallenges, particularly engineering leadership. However, this goal depends not only on how andwhat we teach students but also on the perceptions engineering faculty have of leadership andleadership development. In their roles, faculty shape curricular change, model professionalbehaviors, and influence department and institutional cultures. Yet, many faculty do not receiveformal leadership training and frequently learn through
developed SMET concentration under an EngineeringTechnology (ET) program.1. BackgroundSince the end of the last century, the manufacturing industry has been significantly evolving dueto the quick emergence of novel technologies and the increasing need for more flexible,sustainable, and efficient manufacturing methods [1]. The idea that traditional manufacturing hasgiven way to what is now called SM embodies this change. As can be seen in Figure 1, thenotion of smart industry is fundamentally about incorporating advanced technologies into theproduction process, including several automation, control, and robotic components [2][3]. All ofthese advanced manufacturing components help producers better meet the market's ever-changing demands while also
earlier stages asneeded to refine the review process (Borrego et al., 2014). To facilitate transparency and replicability, weinclude a summary table outlining the objectives and expected outcomes for each stage of the review. Thisframework serves as both a roadmap for our study and a resource for others conducting similar review. Table 1: Stages of ScLR Framework for Exploring Engineering Students’ STW Transition Stage Process Task per the Research Plan Define a clear focus on school-to-work transition experiences of 1 Identifying the research question undergraduate engineering students. Identifying relevant studies
experience and practical skills inthis critical area.IntroductionThe history of electric vehicles (EVs) dates to the early 19th century when inventors in Europeand the United States began experimenting with battery-powered transportation [1]. In the late1800s and early 1900s, EVs gained popularity, particularly in urban areas, due to their quietoperation and ease of use compared to gasoline-powered cars [2]. In that time, electric taxiswere used in cities like New York and London. However, the mass production of affordablegasoline vehicles, such as the Ford Model T, along with the expansion of fuel infrastructure, ledto the decline of EVs by the 1920s [3]. Interest in electric mobility resurged during the 1970s oilcrisis and again in the 1990s with
, inclusive culture” [1]. Although critical in any field of engineering, it is of utmostimportance that pavement engineers and decision makers come from diverse groups, consideringthe implications of their decisions. For example, a recent study of Massachusetts found thatEnvironmental Justice (EJ) communities, defined in Massachusetts as communities with lowincome, high minority population levels, and/or lower levels of English speaking, were found tobe more than twice as likely (21% compared to 10%) to live near roads rated to be in poorcondition, compared to non-EJ communities [2]. Considering these factors, it is crucial to ensurethat students from underrepresented groups have knowledge of the field of pavement engineeringand are encouraged to
the design of the experiment, its implementation, andpreliminary results from student feedback. Our findings suggest that this multifaceted, real-worldapplication of engineering principles significantly enhances student engagement andunderstanding of engineering concepts.1. IntroductionEngineering education confronts ongoing issues in attracting and maintaining students,particularly at the high school level, where many people acquire long-term impressions aboutpotential career pathways [1, 2]. This problem is especially acute in subjects such as Electricaland Computer Engineering (ECE) and Computer Science (CS), which are crucial for promotingtechnological innovation and addressing society's growing reliance on digital solutions [3
Development (EUFD) workshops to engineeringfaculty to support the development of entrepreneurial mindset in the faculty participants and theirstudents. EUFD workshops consist of 3 days of in-person engagement followed by a year ofcoaching and are focused on developing connections between participants andfacilitators/coaches and among participants themselves. In this project, we use a survey of EUFDparticipants to understand the role of connection in their workshop experience. Our researchquestions are: 1) How many others did participants have meaningful interactions with during theworkshops? And 2) What differences in number of meaningful interactions were there betweendifferent workshops?In our survey, participants selected who among their
power plant design.1 IntroductionNuclear power plant design requires cohorts of engineers trained in various aspects of reactortheory, thermal-hydraulic analysis, and power system stability. Several fields of study mustsynergize to effectively harness the power of the atom; yet most undergraduates are unfamiliarwith the fundamentals of atomic physics, radiation interaction, and basic reactor theory. Thus, alayered, hands-on simulation approach can provide confidence and foster proficiency in keyeducational topics across multiple disciplines.To this end, one can find several institutions whose organizational goals include the advancementof nuclear education and safety with simulation tools. The Nuclear Energy Agency (NEA)maintains a catalogue
lack a graduate program in biomedical engineering. Through thisREU site, students were paired with faculty mentors to work on a range of individual, hypothesis-drivenprojects which apply or develop state-of-the-art biomedical imaging methods and techniques. Students alsoreceived a range of lectures on professional development topics, social activities, and the experienceculminated in each student submitted an abstract to present at the Biomedical Engineering Society AnnualMeeting [1-3]. A major goal of this program is to enhance students’ research skills, as well as to build asense of belongingness and improve retention within the field of biomedical engineering [4-6]. To evaluatestudents’ experience in our REU program, an external evaluator
learning behaviors. Table 1 describes these characteristics. We followed the DSMRIAnalysis Guide [16] to conduct a combined deductive-inductive analysis of course observations, students’ reflections,and interviews to identify emerging themes about students’ engagement in the DT process and indications for futuretransfer into future courses and experiences using a DSMRI qualitative evaluation.Table 1: Breakdown of students in the study with demographics and skill competencies Student # Team # Gender Course ability Course ability Other Presenting (Lab) (lecture) 1 8 male Medium Medium 3-person team 8 5
professional engineers, storytelling has beenfound to create shared language in design teams (Nguyen & Mougenot, 2022) and play a role indeveloping engineering identities (Korte, 2013). Additionally, storytelling has been explored as avaluable way to build engineering knowledge in educational contexts, including K-12 settings 1(Acosta & Haden, 2023; Adams, 2007; Author, 2022; Lee et al., 2023). Stories can represent therealities of engineering practice in ways that classroom learning activities cannot, therebyproviding students with authentic insights into the field (Gottschall, 2012; Rao et al., 2020).The stories in this study describe
on Learning and Teaching in Engineering at University of Michigan in 2003 and served as its Director for 12 years. ©American Society for Engineering Education, 2025 NSF IUSE: Project Update: Academic Success of STEM College Students with ADHD and the Role of Instructional PracticesAbstractThis NSF-funded Division of Undergraduate Education (DUE) Improving Undergraduate STEMEducation (IUSE) project involves three studies using mixed research methods to understand theacademic success of STEM college students with ADHD. Study 1 is a quantitative analysisexamining the relationships between pre-college factors, college experiences, and the academicsuccess of college students with ADHD. Study
modelsand iterated the process to create a functional unit. Such a system can be further modified toenable various configurations of heat exchanger internals that were unavailable in the physicallab. By enabling students to create, combine, and repeatedly use these modular systems, thisexperiential learning enables deeper engagement and personalized learning.IntroductionOne of the hallmark characteristics of chemical engineers are their ability to design, analyze, andoperate unit operations [1], [2]. Their ability to do so usually starts during their undergraduateeducation, where they take a Unit Operations Laboratory (Unit Ops Lab) course. Traditional UnitOps Labs face several challenges with both accessibility and cost, making them only
for Learning in Biomedical Engineering CoursesIntroductionStudents are more frequently engaging with the virtual world for courses [1-3]. Studies show thatonline resources significantly and equitably improve students’ performance in courses [4,5].Additionally, online resources are comparable to traditional learning resources, such as textbooks,in terms of student course performance [6]. Additionally, artificial intelligence (AI) provides evenmore opportunities for improved learning in courses [7]. Identifying how students use onlineresources and AI is especially critical for the field of biomedical engineering (BME), whosemultidisciplinary scope may require students to use online resources not necessarily createdspecifically for BME audiences
are an important part of engineering students’ training as they exposestudents to complex engineering design problems and include aspects of professionalengineering. These open-ended design courses are presented as a transitional step betweenstudent’s academic and professional engineering careers [1], [2].By understanding and improving student engagement in design activities within capstonecourses, educators can develop and solidify students’ engineering design skills and better preparethem for the transition into workplaces [3]. Little research has been done on the factorsimpacting student engagement in capstone design courses.Summary of project objectives and research methods:Similarly to our results from Year One [4] and Two [5] this study
Graduate education in engineering often requires graduate students to balance multipleroles that shape their academic and professional identities. Indeed, in addition to developing theirresearch skills, graduate students are often asked to assume teaching and mentorshipresponsibilities. These responsibilities are seen as opportunities that can significantly contribute tothe student’s personal and professional growth [1]. However, these roles are sometimes viewed assecondary when compared to their research within the academic environment, reflecting a broadertendency to prioritize the latter over teaching in STEM opportunities/programs [2]. This limitationhas been reported to hinder the development of pedagogical skills in graduate students [3
, established in 2016, connects engineering studentswith professional advisors, fostering community and collaborative learning. Founded onprinciples of student development and servant leadership [1], the program educates, equips, andempowers student leaders to execute in higher learning, cultivating key leadership skills for peeradvising [2]. The PALs program has demonstrated success in enhancing student perceptions ofacademic rigor, problem-solving, and community within the engineering major. However, theCOVID-19 pandemic disrupted traditional student engagement, necessitating more student-centered approaches. Recognizing this, the PALs program evolved into PALs-RISE – PeerAdvising Leaders Researching Inclusive Student Engagement. PALs-RISE is a
inputs, processing these signals into real-world values, and displayingthe results. This system can be implemented with a USB DAQ device (e.g., myDAQ, etc.)connected to a PC, and software employed with graphical or text-based programming (e.g.,LabVIEW, Matlab, etc.).A variety of courses in both electrical and computer disciplines involve data acquisition. One suchcourse is a Measurements and Instrumentation course [1]. This reference describes a junior-levelcourse, which uses the myDAQ device for data acquisition and LabVIEW as the programminglanguage, for designing and implementing measurement systems. Other courses that can includedata acquisition software programming, computer networking, communications systems, andproject-based
, which aims to increase the proportion offemale registrants to 30% by 2030, it is unlikely that this goal will be achieved. As of 2022,newly licensed female engineers make up 20.2% of total registrations, up from 17.2% in2017 [1]. Further, Indigenous participation in engineering is 0.6%, despite having a 4.9%share of the total population in Canada [2].Transfer pathways between colleges and teaching intensive universities (TIUs) andengineering schools at (typically) research-intensive universities (RIU) disproportionatelyimprove access to, and persistence within, engineering degrees for visible minorities [3,4].This impact may extend to other so-called “hidden” demographic student characteristics (e.g.,social economic background, sexual
and was respecified to include a covariancebetween two items reflecting content applicability and impact on goals. The respecifiedmodel showed a good fit for the data. The findings offer empirical support for the validity ofthe scales within the context of undergraduate geoscience courses. This study establishes afoundation for extending the instrument’s use and refinement in diverse geoscience contexts,ultimately supporting the development of learning experiences that foster and sustain studentinterest in geoscience.IntroductionThere has been a growing emphasis on improving students’ interest in Science, Technology,Engineering, and Mathematics (STEM) disciplines to counter the low recruitment and highattrition rates [1-3]. Particularly, the
foundthat 42% had a review course or review sessions available for students [1]. Newhouse et alpresented a discussion a decade long development of a FE review course for a civil engineeringprogram. In the study the authors documented how the course was modified during the time andhow it correlated to sustained high pass rates [2]. Swenty et al. studied the perceived confidenceand performance of students preparing to take the FE exam. The study involves studentscompleting FE style questions while taking a FE review course. It was found that students had anincrease in confidence after taking the FE review courses, but a correlation between theconfidence and performance was not distinguished [3]. These studies showed that thereinforcing of FE topics
andcomplex interactions in large datasets, this research aims to guide policymakers and healthcareprofessionals in designing more effective, data-driven strategies for promoting mental healthequity across both urban and rural settings.1 IntroductionMental health is an increasingly critical issue worldwide, affecting individuals across all demo-graphics and geographies. According to the Substance Abuse and Mental Health Services Admin-istration (SAMHSA), as many as 23.1% of adults in the United States experience mental healthchallenges annually, underscoring the urgency of addressing this growing public health crisis.Mental health outcomes are influenced by a multitude of factors, including socioeconomic condi-tions, environmental stressors
known as spatial ability. According to[1], spatialability includes several concepts, including spatial perception, mental rotation, spatialvisualization, and spatial interactions. Everyday actions like navigating, putting things together,and deciphering schematics require spatial abilities [2]. Spatial ability has been divided intoseveral subcategories by [3], such as mental rotation and spatial visualization, which vary incomplexity and use. Significant differences in spatial ability are influenced by age, training, andgender[4]. A recent meta-analysis of children aged 0–8 years shows early spatial interventions,like hands-on and gestural activities, effectively enhance skills such as mental rotation andperspective-taking, highlighting the
speaker may fail to engage with the audience by avoiding eyecontact, making minimal gestures, and holding a rigid posture. Despite being accurate, theverbal information might not be supported by nonverbal clues such as kinesics and voicemodulation. This gap can make the presentation seem disjointed and unconvincing.Body language and facial expressions are examples of nonverbal communication that arecrucial in enhancing spoken material. Studies conducted by Schneider & Aburumman, talkabout improving audience engagement, building credibility, and improving messageretention [1] [2]. Yet, engineering curricula predominantly focus on verbal articulation—structured arguments, technical jargon, and precise language—while relegating nonverbalelements
education, accreditationbodies like the Accreditation Board for Engineering and Technology (ABET) encourage theintegration of economic considerations throughout the engineering curriculum, suggesting thateconomic principles and analysis may be incorporated into various courses and projects forengineering students. Programs such as civil engineering include an explanation of concepts andprinciples in project management and engineering economics in student outcomes [1]. Thecurriculum must explain some, but not necessarily all, of the key concepts and principles, andthere is no obligation to assess students’ ability to explain the key concepts and principles.Most undergraduate engineering programs introduce economics through a complete course
their context.1 IntroductionArtificial intelligence (AI) conferences are central to the advancement and institutionaliza-tion of the field. Drawing on Lo Verso’s framework of discursive field formation (1), theseevents serve as critical interfaces where collaboration between regulators, researchers, en-trepreneurs, and civil society not only advances technological innovation and market fit, butalso informs adaptive regulatory practices and creates opportunities for research collabora-tions. Lampel and Meyer (2) describe such conferences as “field-configuring events” thatbring together diverse actors across professional, organizational, and geographical bound-aries, within temporally bounded settings. These events foster both structured and
larger-scale evalua-tions, deeper faculty engagement, and integration with broader academic resources.IntroductionNumerous sources have shown that students with access to high-quality educational resourcesdemonstrate significantly improved learning outcomes, including higher grades and better con-ceptual understanding [1], [2], [3], [4]. While students often appreciate the familiarity of tradi-tional textbooks, their high cost and limited availability create significant financial barriers [5].These constraints can impede the learning process, leaving students to either forego essentialmaterials or resort to lower-quality, yet more affordable alternatives. The rise of free online re-sources has partially alleviated this burden, providing a