the deviceaccess to a heat gun and standard shop-vac or any other vacuum cleaner is required. Manyschool theatre departments or woodshops, as well as janitorial staff, often already have access toshop-vacs. A common $20 heat gun will suffice. Finaly, the consumable material for this projectis recycled milk jug plastic, which comes at no cost to the school. Current research published atASEE conferences with vacuum forming has been mostly focused on using vacuum forming tocreate an experiment or experience but little on making the vacuum form itself [1-5].2. Vacuum Forming2.1 The Process of Vacuum FormingVacuum forming is a process in which a thin sheet of plastic is heated to a temperature just belowits melting point, in which it becomes
progress made in implementing FYE2.0 to date and discusses plans for the future.1.0 BackgroundFirst-year engineering programs (FYE) are a common way for students to be introduced to theengineering profession. [1]. FYE programs typically include one or two introductory courses on avariety of topics. The content of FYE courses can include any combination of topics such as design,communication, professional skills (e.g., teamwork, leadership), and engineering specifictechnology/tools (e.g., MATLAB, CAD) [2]. Fostering interactions between first-year studentsand faculty/upper division engineering students have been shown to aid in the retention ofengineering students. The goals of FYE programs are typically: • Provide FYE students with
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
, 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
(SDGs) [1]. Yet traditional engineering education often prioritizestechnical rigor over creative problem-solving, leaving graduates underprepared for open-ended,real-world challenges [2,3]. Studies reveal a troubling trend: senior engineering students generatefewer innovative solutions than first-year peers, signaling a decline in creative capacity as educationprogresses [4,5]. Industry leaders increasingly stress that engineers must complement technicalskills with creative agility to address unstructured problems [6].Creativity is particularly pertinent to engineering design and problem-solving as it enablesengineers to rethink problems, question assumptions, and explore unconventional solutions. Inengineering, creative thinking goes beyond
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
approximates a lifestyle with an equal split of time invested at work, and time outside ofwork. Work-Life-Fit is focused on the individual and the company. Work-Life-Fit might be bestsummarized as 1) When People Work, 2) Where People Work, and 3) How Much People Work[1]. While there might be an assumption that Work-Life-Fit is only focused on reducing thehours an employee works, it is more focused on how to leverage the hours that an employeewants to work.Employees frequently receive emails outside of regular work hours [2]. Anecdotally, the authorssent an email mid-afternoon on a Saturday to four working individuals. All four had respondedwithin an hour. This is representative of the new normal. If so, and we are all working outsidethe traditional
unsuitable [1].The DBR approach attempts to interlink the development of innovative solutions for practicaleducational problems with the acquisition of scientific knowledge [2] and follows a cyclicaland iterative process in which design, testing, analysis and redesign continuously build oneach other. On the one hand, this increases the quality of innovations in teaching and learningresearch and, on the other hand, relevant findings are gained for the specific field of practice[3]. The core idea of DBR is that learning situations are not investigated in isolated laboratoryenvironments, but in real situations [4]. The objectives pursued are always twofold: on theone hand, relevant problems from educational practice are to be solved and, on the other
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
industry experience to her academic roles. She has a proven track record of addressing critical environmental challenges. In her recent endeavors, Dr. Worthy is actively collaborating with the Lemelson Foundation to institutionalize the Engineering for One Planet framework at Kennesaw State University. This initiative reflects her commitment to sustainability and innovative engineering practices. ©American Society for Engineering Education, 2025 Improving Major Selection and Academic Trajectories: The Impact of a Common First-Year Engineering Orientation CourseAbstractThis Complete Evidence-Based Practice paper studies the impact of Kennesaw StateUniversity’s new, 1 credit hour engineering
Capstone CourseKeywords: Capstone Projects, Electrical Engineering Education, Generative AI in Education,ChatGPT, Entrepreneurship in Engineering, Marketing and Design Requirements, ABET.1. IntroductionIn recent years, many engineering programs have integrated entrepreneurship education into thecapstone experience, blending technical engineering skills with entrepreneurial processes,namely ideation, customer discovery, client validation, and commercial viability [3] Theseprocesses enable students to translate their technical knowledge into economically relevantengineering practice. The objective is to produce graduates who are not only technicallyproficient but also capable of navigating the business landscape, ethically aware, and responsiveto
Among Underrepresented Engineering Students: The Impact of University Academic SystemsThis full-length Empirical Research Paper reports the protective mechanisms and risk factors thatinfluence academic resiliency among underrepresented engineering students. Academicresiliency, characterized by students' ability to effectively manage stress, overcome challenges,and persist through difficulties in their academic pursuits, is a crucial factor for success in highereducation [1], [2], [3], [4]. A need exists to identify and analyze strategies and programs thatstrengthen and support student abilities to develop academic resiliency.The study explores support systems and educational practices universities may use to enhanceacademic resilience
that there are significant impacts of the generation of problems on studentperformance compared with conventional textbook problems. The insights of this research offervaluable guidance for redefining traditional engineering problems.Keywords: Engineering Problem generation, Generative AI, Student Performance, EngineeringEducation 1. IntroductionEngineering problems are a fundamental element of formal education pedagogy. Traditionalengineering problems are formed by acquired knowledge and experience. The process ofproblem formation serves as an essential phase in problem-solving that could directly impact theoutcome [1], [2], [3]. A deficient problem-generation approach can lead to hindrances inapplying earned knowledge which causes unclear
-based capstone design project. This two-semester, four course, 11 credit hoursequence includes both engineering and technical communication courses and is co-taught byengineering and communications instructors. Each student invests nearly 500 hours in a team-based project. Each team of six to nine (or more) students completes the design, fabrication andflight testing of an unmanned aerial vehicle. Students document their work through four writtenreports and eight oral presentations (i.e., design reviews and test readiness reviews). While eachteam member has a distinct technical role, all work is completed collaboratively [1], [2].The intensity of the project and its collaborative nature present unique challenges for bothcapstone students and
tools likeChatGPT in academic and personal contexts. The post-survey evaluates changes in awareness,confidence, and interest after the lecture and assignment. Results provide insights into AI’simpact on academic performance and efficiency, guiding curriculum development. Additionally,the cohort will be surveyed again in three years to assess their long-term AI experiences andcareer readiness. 1. IntroductionArtificial Intelligence (AI) traces its origins to the mid-20th century when researchers beganexploring the possibility of creating machines capable of simulating human intelligence [1]. Earlyefforts focused on symbolic reasoning [2], problem-solving [3], and basic learning algorithms [4].As computing power increased, data became more
their confidence in leadership, creative thinking, and problem-solving.IntroductionAs part of a Kern Entrepreneurial Education Network (KEEN) Fellowship I received in AY2023,I incorporated a semester-long project to have recent alumni engage undergraduate engineeringstudents and lead classroom activities focused on the entrepreneurial mindset (EM) and the threeCs: curiosity, connections, and creating value.[1] “It spiked my interest in understanding howengineering students develop through their… professional experiences and how [those positionthem to incorporate] entrepreneurial mindset into their work. Especially the three Cs,” was astudent’s seminar survey response. The development of an EM is important for engineeringstudents as they prepare
participants exhibited varying degrees of engagement with goodpedagogy, each with corresponding implications for racial equity. Our two key arguments are (1)Good pedagogy can pave the way for equity, including racial equity, and (2) An improvement ingeneral pedagogy and efforts to improve racially-equitable pedagogy can happen concomitantly.While good pedagogy may not guarantee (racial) equity, bad pedagogy is more likely toperpetuate (racial) inequity. We saw that when faculty members actively engage in good pedagogy that encouragesstudent participation, e.g., even utilizing simple active learning techniques like "think-pair-share"(as seen with Faculty 1) and involving students in class activities (as demonstrated by Faculty 2),they are more
environments and how institutional agency influences student success. This research spans three different spheres of influence including 1) student experiences, 2) higher education institutions, and 3) societal contexts. Her most recent research considers the intersection of Latinx identity and STEM identity at Hispanic Serving Institutions that are also community colleges.Margarita Rodriguez, University of California, Santa Barbara ©American Society for Engineering Education, 2025 1 Bridging Pathways: Empowering Latinx STEM Students Through Belonging, Support, and
pedagogical approach can vary widely betweeninstitutions and individual instructors. However, the use of active-learning, sometimes inconjunction with a flipped classroom approach, has become a popular mode of course delivery[1], [2]. The data available comparing various methods sometimes finds that active-learning canhave positive impacts on learning [3] or student motivation [4] but there are also plenty ofexamples where the method of instruction and class format have limited impact on studentoutcomes [5], [6], [7], [8].This study investigates whether the use of a high-fidelity motion capture lab for anundergraduate dynamics class project leads to a better student experience. Marker-based motioncapture systems are commonly used in a variety of
topreserve critical thinking and foundational writing skills. Both groups called for clearerinstitutional policies and structured guidelines for the ethical use of AI tools in educationalcontexts.The findings underscore the need for a balanced and proactive framework to leveragegenerative AI’s benefits while safeguarding educational integrity. Key recommendationsinclude: (1) establishing clear institutional policies on permissible AI use; (2) developing AIliteracy modules to foster critical engagement; (3) implementing process-oriented assessmentmodels, such as version history reviews and reflective writing logs, to emphasize students'intellectual contributions; (4) promoting active faculty involvement in guiding ethical AI use;and (5) adopting