emissionsalone [1]. This is a large percentage, which is why green roofs are such an up-and-coming designdecision for new buildings. As the use of green roofs becomes more prevalent, an evaluation ofthe benefits and challenges may be something architectural engineering programs choose toincorporate into their curriculum. This paper aims to consider the particular challenge of addedweight to a roof structure, with the understanding that the addition of structural material tosupport this load must be considered alongside operational energy benefits that a green roofprovides. In addition, the research herein provides a methodological framework for evaluatingthe efficacy of energy-saving strategies in general, including relevant software tools
ablank. Those remarks apply, with peculiar force, to the history of those machines called PRIMEMOVERS.” (The capitals are Rankine’s).”1 Modern engineering thermodynamics provides the most general formulation andunderstanding of Dynamics. Aerodynamics is not a ‘science’, despite the convenience ofdifferential equations for calculation. Differential equations are Static, presupposing time-reversibility. Dynamic processes, best described in engineering thermodynamics, include anirreducible irreversible component. This entails a cumulative, constructive engineeringworldview that is more general and crucially different from the scientific worldview. Moving from the scientific worldview to the more general, more
Tsai4, Han Na Suh5, Bo Hyun Lee6, Anna Nguyen2, Andrew Lenway2, & Diana Mathis7 1 University of Missouri, Columbia; 2University of North Dakota; 3University of Denver; 4 University of Northern Colorado; 5Georgia State University; 6Ohio State University; 7Purdue University Engineering is critical to our nation’s global competitiveness, and the demand to fillengineering jobs is projected to grow over the next decade (U.S. Bureau of Labor Statistics,2018). To meet this demand, efforts are needed to broaden the involvement of underrepresentedracial minorities (URM) in engineering. Latine are one of the largest racial/ethnic group in theU.S. today, estimated to comprise 19.1
previous experiences are other dimensions that all GTAs bring to theirteaching experiences. For international students these include a move to a different country,often teaching in something other than their native language, and sometimes encounteringclassroom structures and teacher-student interactions that are different from the environment inwhich they were taught. 2To understand GTA identity and its evolution, we consider PD, GTA experience, and previouseducational background. Our research questions are: 1) How does GTA identity change withexperience and PD? and 2) How do the structure and environment of previous classroomexperiences impact GTA
government, academia, business and industry in electronic and printformats not controlled by commercial publishing i.e. where publishing is not the primary activityof the producing body” [1]. The key element in this and in most definitions of GL is thatmaterials are not produced by commercial publishers. One implication of this is that there can bemany different types of GL. Indeed, Schöpfel and Farace reproduce a list of 131 differentdocument types originally compiled by GreyNet International, all of which can “contain uniqueand significant scientific and technical information that is often never published elsewhere” [1].While readers might quibble with some of the types of GL compiled by GreyNet International,this list of 131 types serves to
growth rate for studies of high school computing averaged over 40% duringthe past decade. While that research has some indicators of being increasingly focused on equity,there are also substantial gaps. For example, while publications that include student disabilitystatus have been increasing, the number still remains very low (fewer than 5%). And while moststudies adhere to the practices of high quality research (e.g., specifying a research question), thereis some room for improvement.Implications: Awareness of the landscape of recent computing education research that focuses onhigh school students will enable education researchers to align their efforts with the needs of allstudents, including those who are less likely to study computing.1
open-ended responses from the pre-test (n= 623) and post-test (n= 296)surveys. We analyzed students’ perspectives on 1) their preferred and least favored aspects of theengineering course and 2) their anticipated professions. We also conducted a quantitativeanalysis on the connections between student demographic data and their consideration of futureengineering careers.Results discuss five emergent themes impacting students’ engagement in pre-college engineeringcourses: Projects, Engineering Design Process, Flexibility and Creativity, Assignment andWriting, Timeframe. We also noted a significant increase in students’ interest in engineering inthe post-test, especially for female students. Strengthening pre-college engineering education toassist
loads.With the global advancement of technology and engineering, strengthening mathematicalmodeling skills for pre-college students has become increasingly important. This paper willcontribute to the growing body of knowledge regarding how 21st-century students perceivemathematical modeling and provide insights for developing engineering courses.IntroductionEngineering for US All (e4usa), funded by the National Science Foundation, endeavors to makeengineering more accessible and understandable for secondary school students and teachers. Itprovides an inclusive curriculum focused on practical engineering design experiences, aiming tocultivate engineering literacy, problem-solving abilities, and practical skills [1].A component of the e4usa curriculum
design, and failure prediction and analysis of materials. Dr. Birch is a licensed Professional Engineer in the state of Utah. ©American Society for Engineering Education, 2024 HIGH TEMPERATURE MATERIALS TESTING USING A HYBRID ROCKET TESTBED Dustin Birch, PE, PhD, Ian Harvey, PhD, Devin Young, PhD, Spencer Petersen, PhD1.0 ABSTRACTThe Concept Hybrid Rocket Demonstrator (CHRD), originally developed as a Senior Capstone designproject in the Mechanical Engineering (ME) and Mechanical Engineering Technology (MET) programs atWeber State University (WSU), has been modified into an experimental testbed used in hightemperature materials rapid screening testing [1]. This high temperature materials
warning for the implications of currentteaching methods.Introduction:In a traditional technical engineering class, there are lectures where content is delivered,recitations where material is reviewed in small groups, and problem sets where students cementtheir knowledge of course material by solving homework problems. It is well known thatlecture-based courses are not the best way for students to learn [1]. However, most instructorsstill teach this way [2], many assuming that motivated students will master content as they solvehomework problems, regardless of delivery method. Students largely agree, most frequentlyciting assignments and assessments — such as homework problems — as influencers of theirlearning methodology [3].Well-defined
acrossscience, technology, and industry. This revolution calls for data-savvy engineers who can extractinsights from information and apply them strategically. Data skills range from fundamentalmanipulation to advanced machine learning and AI [1]. Proficient engineers, able to contextualizeand interpret data, will be indispensable in the landscape of data-driven technologies. While datahas always been important in engineering, today's unprecedented volume and quality represent aparadigm shift [2]. Data itself now dictates hypotheses, making nearly every engineeringdiscipline data-intensive [3].This study investigates Mechanical and Aerospace Engineering (MAE) students' experiencesnavigating this data-centric field. Understanding their development of
field. The primarygoal of this study is to conduct a systematic review of the current literature concerning the role,impact, and constraints of AI in CS education, with a specific focus on K-12 education. Thereview process follows the PRISMA principle. A total of 24 articles published between 2013 and2023 were selected, comprehensively reviewed, and analyzed. The coding scheme mainlyincludes four aspects: (1) Research background, (2) Research design, (3) AI technologies, and (4)Research outcomes and limitations. Each aspect contains specific dimensions to be coded. Thestudy discovered that AI plays a significant role in K-12 CS as learning content and developingprogramming platforms. These adaptive learning platforms give personalized
disseminating innovations and addressing challenges inengineering education [1], [2], [3]. Regional, national, and virtual CoPs contribute to STEMhigher education reform [3], yet we know little about the specific structures and interactions thatdefine these communities, and how those features are related to the development of facultymembers’ change agency [4]. To address this gap, we utilize a case study of a cross-institutionalCoP dedicated to academic change. Drawing on theories of change from sociological andsituated learning perspectives, we analyze the structural features of the community thatencourage specific forms of interaction between participants, and how they facilitate thedevelopment and exercise of agency toward the goal of changing STEM
findings highlight how S-STEM program elements manifest in the lives of low-incomecommunity college transfer engineering students. The findings underscore the need for increasedsupport for students from low-income backgrounds and demonstrate that financial and co-curricular support positions them for greater success. These insights not only inform scholarshipprograms but should also urge educational institutions to actively provide holistic support forstudents on their academic and professional journeys.1. IntroductionThis paper presents initial findings on the impact of the National Science Foundation (NSF)Scholarships in STEM (S-STEM) program on community college transfer students pursuingengineering degrees at a four-year university. Transfer
programs, achieving high effectiveness andfosters the achievement of set goals.IntroductionEfficiently managing large educational STEM programs, particularly interdisciplinary projects,requires a harmonious blend of team dynamics and individual personality strengths [1]. Theseprojects bring together experts from divergent disciplines to collaborate towards common goals,making the team set up a critical determinant of success. While much attention has been givento factors like team composition, size, and tenure, the impact of team members’ personality traitson overall team effectiveness remains unexplored.Interdisciplinary Science, Technology, Engineering, and Mathematics (STEM) projects involvecollaboration across multiple disciplines to address
academic environment. We used thematicanalysis of the transcripts from 13 focus groups and 1 interview to examine the advisor-adviseerelationship as experienced by 31 students who identify as neurodiverse in graduate STEMprograms. The findings from this research highlighted several themes related to the importanceof communication in the relationship between neurodiverse students and their advisor. Thispaper focuses on three themes related to communication: Mutual Trust, Clear Expectations, andDelivery of Feedback. The findings suggest that these three elements of communication mayeither promote or hinder the success of neurodiverse graduate students in STEM programs,impacting disclosure of neurodiversity-related diagnoses, self-esteem, self
understanding of its structure and purpose. Below is a detaileddescription of the rubric that has been recontextualized from its original application inmanufacturing to its broader use in inclusive STEM education. The rubric is structured into threeprimary sections—Head, Heart, and Hands—each representing critical facets of the learningexperience and corresponding to cognitive engagement, emotional engagement, and activeparticipation. Our application of the 3H model[1] is rooted Piaget’s constructivist learningtheories[2], Vygotsky’s Zone of Proximal Development[3], brain-based learning like that ofSmilkstein[4], self-efficacy[5], and cultural responsive teaching[6].Head (Cognitive Engagement): This section of the rubric focuses on self-efficacy
not only produced outstanding results in terms of student engagement anddesire to pursue an engineering degree but has also shown sustained improvements in retentionof five to seven percent. Institutions of higher education have received increasing criticism forattracting students to campus, only to leave many students feeling they don’t belong and lookingfor the exit shortly after arriving. Many factors contribute to a student’s sense of belonging,which studies have shown has a positive impact on retention as well as mental health [1].Significantly, this has been found to be true of not just traditional students, but also ofunderrepresented students who are first generation, low income, and racially minoritized [2]. Asall universities and
enrichinglearning experiences that prepare students for the challenges of the modern engineering landscape.Keywords: Chemical engineering education, desk-scale experiments, flow characterization,pumps, valves, blended learning, curriculum development, student learning outcomes, educationaltransformation.1. IntroductionIn today's digital age, the integration of blended and online learning modalities has becomeincreasingly important in engineering education. This adoption contributes to workforcedevelopment and broadening participation in engineering by enhancing scalability [1]–[3],improving student performance [4]–[6] and skills development [2], [7], [8], and ensuring thecontinuity and accessibility of engineering education in diverse contexts [2], [9
into accessible forms. Tactile graphics translate visual images into physical, three-dimensional models that aBLV person can feel, similar to braille [1]. For pedagogical content, these are usually slightlyraised graphics on a paper medium for practicality and portability ([2], [3]). Translating visualcontent into a tactile graphic requires reducing the content into just the most important features,and often requires sighted subject matter expertise ([4]–[6]). Other work has explored usinglarger, higher fidelity three-dimensional models ([7], [8]). Additionally, few tools exist for BLVpeople to create their own visual content, and most tactile graphic systems require a sightedperson’s assistance ([9]–[11]). These methods also have
engineering education can benefit from having engineeringstudents work on team projects that involve a blend of cross-disciplinary and mixed-agedcollaborations. An NSF-funded project set out to explore this idea by partnering undergraduateengineering students enrolled in a 300-level electromechanical systems course with preserviceteachers enrolled in a 400-level educational technology course to plan and deliver roboticslessons to fifth graders at a local school. Working in small teams, students designed, built, andcoded bio-inspired robots. The collaborative activities included: (1) training with HummingbirdBit hardware (Birdbrain Technologies, Pittsburgh, PA) (e.g. sensors, servo motors) and codingplatform, (2) preparing robotics lessons for fifth
grow [1],because as class sizes increase, administering assessments becomes increasingly resourceintensive [2] requiring faculty and course staff to commit increased amounts and energy towardsmanaging the logistics of exam administration [3]. The additional resources required foradministering assessments in courses with larger enrollments often lead to a decrease in thenumber and type of assessments used in a course [4, 5], with faculty often relying on assessmentpractices that are not educationally beneficial to students [6].Managing assessment for large-enrollment courses is a challenge that many engineering programsface. In response to these challenges, in Fall 2014, the Grainger College of Engineering at theUniversity of Illinois at Urbana
uncomfortable making mistakes in class, learned to use my own mistakes to model engineeringpractices, and re-framed my perspective on what it means to be a “good” engineering instructor.This work illustrates the benefits of incorporating reflective practice into the professionaldevelopment of engineering instructors.IntroductionSeveral reform pedagogies require students to grapple with confusion in the classroom, framingconfusion as a positive indication of progress towards understanding [1]. For example, inproductive failure [2], students grapple with a complex problem, initially explore incorrect solutionpaths, and eventually, with help from their instructor, collaboratively consolidate their work intothe canonically correct solution. Responsive
entrepreneurial efforts successfully. This concept is critical in the business world. Itplays a crucial role in initiating and developing new ventures, which is essential for economicgrowth, innovation, job creation, and individual empowerment. Fostering and supportingentrepreneurial intention is critical for developing a prosperous and dynamic society [1].Entrepreneurial IntentionEntrepreneurial intention (EI) is a key concept in entrepreneurship research, focusing on the factorsinfluencing the decision to start a business. This decision is often based on deliberate reasoningthat mediates between personal reasons and actions, shaped by various internal and external factors[3]. EI represents an individual's inclination to initiate and develop a new
accuracy. Although results aremixed as to whether student performance improved in a single semester, the self-assessmentskills demonstrated by the entire student cohort, and particularly the improvement shown by thelower half of students by GPA, offers further encouragement that KS are a useful tool to supportdevelopment of self-assessment skills and student learning.IntroductionThe ability to self-assess is a key component of learning [1] and the practice of self-assessmentleads to better student motivation [2] and higher student achievement [3, 4]. The benefits of self-assessment are enhanced when faculty systematically train students on how to assess their ownwork [4]. For these reasons and others, self-assessment is an important component of
, challenges, and the instructor’s experience teaching MCI. Reflectionson emerging themes and their connection to manufacturing engineering and Education 4.0 arediscussed, with both opportunities and challenges for continuing program growth elucidated.Finally, understanding that multi-campus education is of growing interest to the community, somerecommendations and best practices are proposed.IntroductionHigher education has benefitted from the multi-campus system for many years by providingstudents with greater opportunities by expanding the physical presence of universities to differentlocations while maintaining the quality of education. The presence of campuses in diverselocations increases students’ choices [1]. Additionally, the multi-campus
in their own ways.Dr. Benjamin Ahn, The Ohio State University Dr. Benjamin Ahn is an Associate Professor at The Ohio State University in the Department of Engineering Education. ©American Society for Engineering Education, 2024 Re-imagining Behavioral Analysis in Engineering Education: A Theoretical Exploration of Reasoned Action ApproachIntroductionAs a discipline, Engineering Education continues to expand its reach, and subsequently, itsmethods of analysis. Integrating research from the behavioral sciences and psychology hasenhanced researchers’ capacities to explore the intricate and multifaceted behaviors inherent toengineering practice and education [1], [2], [3]. These
settings. MATLAB Grader is an onlinebrowser-based version of MATLAB where instructors can create, share, and automatically assessMATLAB exercises with their students. MATLAB Grader can also be integrated into variousLearning Management Systems (LMS) so that students do not need to navigate several differentwebsites and grades are automatically input into the gradebook. The primary advantage of the MATLAB Grader platform is its automated gradingfeature. Autograding of computer programs have been available and investigated for manydecades, primarily in the computer science domain [1]. However, the use of autograders ofcomputer programs in other disciplines has only received attention more recently. This isattributed to the different goals of
’ ability to practice engineering, inspired by the clinical practicums utilizedby medical schools [1]. The overarching goal of many capstone design programs is for studentsto apply their analytical knowledge from previous courses and newly learned practical skills to areal-world design problem [1], [2]. Most programs require students to work in a team to solve anopen-ended design problem, which exposes them to a diversity of perspectives, strengthens theircommunication and collaboration skills, and introduces program management skills [2]. Further,capstone design courses teach students design thinking, specifically to tolerate ambiguity, iterateon solutions, utilize systems engineering, and make decisions [3]. Overall, the engineeringindustry is a