Students; Case Study; Learning Communities; Professional DevelopmentI. IntroductionGraduate student well-being is a concern for universities and colleges globally. The growing crisis of depression, low self-esteem, and fatigue amongst graduate students is ubiquitous across disciplines and degree programs [1]. Reasons for thesemental health issues are rooted in financial pressures [2], adviser expectations [2] and relationships [3], work-life balance [4],unstated expectations (hidden curriculum) [5], and, for many students, institutional or departmental discrimination [4], [6].However, academic institutions and/or individual departments can promote student well-being by facilitating social support anda healthy departmental climate [6].Community
robotics hardware, we sought tobridge the Robotarium with K12 computer science education. In this paper, we will describe thedevelopment of a block coding interface, and the piloting of the interface in high schoolclassrooms using a remotely facilitated instructional module.Introduction:Computation is of growing importance in K12 education as technology and technologyintegration advance throughout our lives, and the consequent workforce development needsbecome more evident [1]. In K12, computer science education may begin as early as elementaryschool and continue into middle and high school, and incorporates experiences in robotics,physical computing, web design, game design, and software development [2]. Although accesshas increased over the
scienceand simulation technology.IntroductionDeveloping machine learning projects for engineering education is of paramount importance inpreparing the next generation of engineers for the challenges of the modern world. These projectsoffer students a unique opportunity to bridge the gap between theoretical knowledge and practicalapplication, a vital component of their future careers. Machine learning, with its ability to makesense of complex data and make predictions, has become integral in engineering fields. It equipsstudents with the skills needed to address real-world engineering challenges, enhancing theirproblem-solving abilities and fostering creativity [1, 2].Poisson's ratio is a dimensionless parameter that characterizes how a material
problems. This new course emphasizes Excel software rather than handcalculations and introduces use of Excel Solver and other data analysis tools.KeywordsQuantitative Methods, Linear Programming, Optimization.IntroductionExpectations for graduates entering the engineering profession are changing and intensifying tomeet the complex needs of society. Global issues, technological innovation, blending ofdiscipline boundaries, and increased professional complexities are transforming how engineersanalyze problems and provide effective solutions. Societal demands require engineeringgraduates possess strong technical knowledge and the ability to think creatively and critically,effectively communicate, and work in teams to solve challenging problems [1
project. In Fall 2023, students started the project by touring the on-campus powerplant. Then students worked in groups to design a vapor cycle to integrate into an existing gascycle to create a combined cycle. The project included formative assessments to help studentslearn more about the design process before completing summative assessment of a final report.In addition to teaching about the engineering design process, the format of the project alsoyielded a deeper understanding of the material.MotivationAt the 2022 Annual ASEE Conference, Andrew Lutz presented the Rankine Cycle design projectthat he created and implemented in class [1]. He used this assignment to assess ABET StudentOutcome 1, “an ability to identify, formulate, and solve
. These evaluations aimed to establish benchmarks for the impact of the newmaterial on students' academic performance and overall satisfaction. The findings indicate anotable enhancement in student performance and satisfaction levels among those whoutilized the new lab manual, underscoring the efficacy of this innovative educational resourcein the realm of digital design education.IntroductionA significant development in this digital education era is the concept of Open EducationalResources (OERs). These resources are essentially teaching, learning, and research materialsthat are freely available in the digital sphere, often situated in the public domain or releasedunder an open license [1]. The essence of an OER lies in its open nature, granting
and his colleagues from around the nation developed, implemented, refined, and assessed online resources for open courseware in Numerical Methods. This courseware receives over 1 million page views (https://nm.MathforCollege.com), 1.6 million views of the YouTube lectures, and 90,000 visitors to the ”numerical methods guy” blog annually. This courseware is also used to measure the impact of flipped, blended, and adaptive settings on how well engineering students learn content, develop group-work skills, and perceive the learning environment. Professor Kaw has written over 120 refereed technical papers, and his opinion editorials have been featured in the Tampa Bay Times, the Tampa Tribune, and the Chronicle of
ahead to the topic of that day’s lecture.Table 1 shows the learning objectives or the topic of the day along with the song played beforethe Mechanics of Materials class. For example, to connect to the Mohr’s Circle concepts, asstudents enter the classroom, an instructor plays a song with the word ‘circle’ in its lyrics, such as“Circle in the Sand” by Belinda Carlisle; or “Draw Me a Circle” by Barbara Streisand tostimulate learning and build students’ enthusiasm about Mohr’s circle. Before the start of the firstday of class, “Here I go Again” by White Snake is played signifying the students’ struggle withconcepts such as trusses, frames, 3-D equilibrium.Table 1. Song played before class in Mechanics of Materials Topic /Learning Objectives of
published 100+ journal papers and conference papers. His research interests are 1) Creating Innovative Sustainable Materials, 2) Digital Construction, 3) BIM and VDC, 4) Virtual Testing Lab, 5) Construction Education, and 6) Sustainability. ©American Society for Engineering Education, 2024 Improving Construction Site Safety by Incident Reporting Through Utilizing Virtual Reality Author1 Name and Author2 Name (12 points, Bold, centered)AbstractThe construction industry consistently records one of the highest accident rates compared toother occupations, resulting in millions of workers suffering from construction-related injuriessuch as falls, trips, slips, and other
Majors, Tennessee Technological UniversityIndranil Bhattacharya, Tennessee Technological University ©American Society for Engineering Education, 2024Order Confirmation (#753695)marketplace@kennesaw.edu Wed 1/24/2024 9:54 AMTo:Duran-Ledezma, Nathan (nfduranled42) You have received this email from marketplace@kennesaw.edu in response to your Order.Order ReceiptThank you for shopping at KSU Mall. For any questions regardingyour purchase, please contact the host department. Order: 753695 Store: ASEE-SE Conference Date/Time: January 24, 2024 at 10:54:30 AM
results obtained from three pilot courses incomputer science, mechanical engineering, and construction management showed theeffectiveness of the approach in enhancing students’ ability to understand data, analyze data anddevelop data-driven solutions. The feedback from student surveys also provided a satisfactoryoutcome as expected. This pilot study intends to share the project team’s experience and lessonslearned with the STEM education community.KeywordsData Analytics, Data Science, Project-Based Learning, STEM EducationIntroductionData analytics is the process of inspecting, cleaning, transforming, and visualizing data with thegoal of discovering insightful and critical information for decision making [1]. The integration ofdata analytics in
College of Engineering at the University of Kentucky.21 Keywords22 Engineering Technology, Industry Partnership, Curriculum Development, Computer Engineering23 Technology, Lean Systems Engineering24 Introduction25 large-scale manufacturing in the past decades. Key manufacturing industries serve as a26 cornerstone of bringing broader industry investment and new jobs across Kentucky. These27 manufacturing sectors traditionally include automotive, aerospace, pharmaceutical and medicine,28 heavy metal and machinery as well as new industries such as batteries and information29 technology (IT) [1-2]. However, the main challenge is the deficiency in the workforce with30 technical expertise to fill a number of jobs available in
independent variables (of space and time) are relevant for the velocity profile’s scalarcomponents. This strategy will guide the students, systematically, to analyze a given fluid flowsituation inside a particular geometry to identify first the different velocity components and then,be able to identify suitable functionalities (of the independent variables) of such velocitycomponents. To efficiently guide the students through this strategy, Figure 1 describes a “dual”scale approach that effectively couples the Foundry with the fundamentals of the kinematics offluid flow. Furthermore, Table 1 describes a 10-point step strategy for the students (i.e., an“organization tool”) for facilitating the application of both the Knowledge Acquisition Paradigmto
by emphasizing connections andcreating value for the stakeholders in the development of a new product.IntroductionAn active, productive technology and entrepreneur community can benefit the economy in avariety of ways, including the development of new innovative products, job creation, andeconomic growth [1]. Recognizing this, members of the business and education communitybegan developing methods for teaching key habits and attitudes of successful entrepreneurs longago, giving rise to Entrepreneurship Education (EE) in the 1980s [2]. During the early years ofEE, resources mainly taught skills and concepts that aided in identifying business opportunitiesand building self-confidence [3], as well as developing the ability to think about
and sounds as well as text. Here we use the term more narrowly, focusing onthe text-generating capabilities of the new, widely available chatbots including OpenAI’sChatGPT, Google Bard, Anthropic’s Claude, and Microsoft’s Bing Chat.]IntroductionGenerative AI (GenAI) is expected to effect a rapid change in the technological landscape withsignificant impact on the global economy, with an estimated global impact of 4.4 trillion dollarsannually, and an accelerating transformation of the workforce across all sectors of industry [1],[2]. One analysis estimates that 80% of the US workforce will be impacted by GenAI [3]. PerRichard Baldwin at the 2023 World Economic Forum, “AI won’t take your job; it’s somebodyusing AI that will take your job.” These
concept of multiple attempts homework may not be new as per K. K. Archer [1], itseffect is emerging to be more robust in steering the students to higher grade achievement whenused during higher-stake tests. Unfortunately, there are many students who lack learning skills,others lack the talent of tackling tests and exams. The latter, therefore, does not reflect students’knowledge about the course. Moreover, instead of working on their assignments sincerely, somestudents resume to cheating to meet their deadlines. These assignments should be used to practicewith, to learn, grow and prepare for tests, these students seek fast resolution of quick assignments © American Society for Engineering Education, 2024
extend beyond the classroom environment and prove beneficial for their careers. Thefindings of this study contributed to the field of engineering education to facilitate sharedlearning environments for graduate engineering students.Purpose of the StudyAn increasing number of national reports emphasize the importance of developing newapproaches to science, technology, engineering, and math (STEM) education to maintain thecountry's leadership in scientific and technological breakthroughs [1], [2]. Educators andresearchers from diverse fields have been exploring a wide range of innovative ideas to enhanceand refine teaching and learning methods within STEM disciplines. An inquiry-based approachstands out as a promising and effective instructional
of sand particles during harsh outdoor exposure are all examples of abrasive wearconditions. The resistance to abrasion is recently under study due to its important economic lossprevention and is correlated to the intrinsic materials' mechanical properties [1-4]. Engineeringpolymers and polymer composites have suitable tribological properties, are lightweight, offer highdesign flexibility, cost efficiency and could be an alternative to metals for diverse applicationswhere resistance to abrasive wear is required [5-10].This laboratory is an experimental approach and offers support in understanding different conceptscovered in other related classes: structure and properties of materials, engineering materials,materials lab, senior design, and
coherent solution process and giving a sanity check of theirwork. The recorded narrated solutions were available for all students in the course to view fortheir own studying purposes. Average exam scores and standard deviations were tracked forstudent grades (out of 100%) for the three course exams; these statistics were averaged beforeand after implementing the narrated solutions. While average exam scores experienced smallchanges, the standard deviation of the means decreased by 0.78 on Exam 1, 0.70 on Exam 2, and0.60 on Exam 3, when compared to semesters of similar length and structure. Additionally,students reported positive experiences with the narrated solutions in course evaluations. Thetighter spread of student exam scores after
forms of content suchas text, code, images, and more. Unlike traditional AI, generative AI is not limited to predefinedrules and patterns, but rather creates new content based on machine learning algorithms. Whilethere are various examples of generative AI like Bard, DALL-E, Midjourney, and DeepMind,only one example gained popularity seemingly overnight: ChatGPT. OpenAI launched ChatGPTon November 30, 2022. Social media users immediately posted about the uses of the applicationincluding travel planning, writing short stories, and creating code. ChatGPT attracted over onemillion users in the first five days of going public [1]. With the instant popularity also camequestions of ethical use and implementation. Could ChatGPT create job displacement
universities began to decline. Many universitieswere forced to raise tuition and collect fees to finance operations to replace monies historicallyprovided by public funds. For profit colleges and community colleges compete for students whocould potentially attend classes at a public university and “according to data from the NationalCenter for Education Statistics (NCES), after a continuous rise since the 1970s, collegeenrollment began declining in 2010” [1] further challenging funding models for public universityadministrators. To make matters worse, an enrollment cliff due to changing populationdemographics is expected by American university administrators in the near future.Growth of the native population of the United States (US) is slowing [2
Collective Orientation score and positive interview data was collected from thediverse population that participated, which varied in year, major, race/ethnicity, and gender. Thisstudy shows VTS can be a powerful, free, low-stakes tool to help increase team cohesion andefficiency in any course.IntroductionThe ability to work in teams is a vital skill for engineers when designing for and responding todesign challenges in their professional careers; however, developing this interpersonal skill isoften insufficient across the curriculum as there is a lack of consensus among instructors on howto teach teamwork skills to undergraduate engineering students [1]. For example, it is commonfor engineering design classes to engage in group work that provides a
practicalexperience through hands-on experiments and/or virtual labs [1-3]. One salient, but alsochallenging, ABET outcome is that an engineering graduates should be able to solve a well-definedengineering problem by combining theory and practice [4]. Improving student problem-solvingskills is a requisite to educate new engineers who can meet today’s challenges and become expertsin their field of interest [5,6]. As prior research shows, hands-on experiences and lab componentsof engineering courses provide critical learning experiences for students to better understandfundamental concepts [7-12]. However, many institutions have limited resources for laboratoryequipment, and these limitations inhibit student learning due to constraints on the use of
STEMTank 2023, a high school summerprogram sponsored by the U.S. Department of Education. SF and UF have jointly offered theaward-winning STEMTank program for four consecutive summers, providing pre-college accessexperiences for high school students from North-Central Florida’s under-resourced communities.The program’s hallmark is giving participants a taste of an engineering college experience throughunique, open-ended design / build / test projects grounded in contemporary real-world engineeringproblems that include 1) analytical modeling to guide the design process, 2) prototype performancemeasurement with redesign / retest opportunities to improve performance, and 3) presentation ofresults by student participants to panels of subject matter
more interested inaddressing energy supply and demand. Students who have democratic political affiliation aremore interested in the rest of the eight sustainability-related career choices. Overall, among thestudents, Democrats affiliated are more interested in solving sustainability issues compared toRepublicans affiliated. As early as in their undergraduate engineering period, students' politicalaffiliations may impact their inclination towards promoting sustainability outcomes in theirprofessional pursuits, as suggested by our findings.IntroductionEngineering students should consider choosing sustainability career choices, as they present aunique chance to effect positive change in both society and the environment [1]. By pursuing acareer in
joint appointments in the Chemical and Biomolecular Engineering department as well as the Envi- ronmental Engineering and Earth Sciences department. Prior ©American Society for Engineering Education, 2024 WIP Nurturing Novice Researchers: An Exploration of Undergraduate Student Experiences in a Creativity Inquiry Research ClassIntroductionThe undergraduate experience is greatly enhanced by participating in research experience earlyand often [1]. Undergraduate research in the disciplines has been shown to be effective inrecruiting students for graduate school [2]. Undergraduate students report the usefulness of theseexperiences in teaching “real world” skills and, with proper intellectual
EditorIntroductionThe transition into university, especially for incoming first-year students, has always been markedby a confluence of emotions, challenges, and newfound experiences 1. Many external and internalfactors have complicated this journey recently, reshaping students’ fundamental understanding andapproach to their education. The profound influence of the COVID-19 pandemic, which introducedunprecedented disruptions, leading to isolation and limited access to traditional educationalenvironments, cannot be overlooked2. This isolation, while protective, inadvertently shifted thelearning paradigm for many, challenging conventional pedagogy and student interaction, furtherwidening the educational disparity among different student groups and dramatically
shown inFig. 1. The developed spreadsheet computes the shear, moment, slope, and deflection values alongthe length of the beam, and produces the corresponding plots for the beam using the presentedalgebraic Eqs. (1-8). When developing a spreadsheet such as this, the students are instructed tocreate proper identifying “names” for each of the cells containing the problem parameters (e.g.,beam and loading parameters) so that formulas become easier to setup and manage. The contentof one of the created Excel formulas for computing the deflection values is shown in thespreadsheet provided in Fig. 1. Note that in this formula an “IF” function is used for the sake ofefficiency in calculating the deflection values, so that a single formula can be used
summittedstudy sheets with the students’ examination performance. The preliminary findings of this study reveal that none ofthe students that prepared study sheets with medium and high levels of detail achieved less than a distinction gradewhile at least one (1) student, either prepared a study sheet with low details or not preparing any scored below thedistinction grade. Hence, this study finds that the preparation and use of study sheets for examination does impactstudents’ performance. In a future study, we plan to conduct an experimental study to establish a causal relationshipbetween the study sheets and performance. The findings of this research are expected to encourage purposefulstudying habits among students, thereby contributing to their
, andincrease enrollment”, as stated in the Canvas credentials digital badges for higher education site[1]. The current market is primarily led by companies like Badgr and Accredible, prioritizingactivity-centered credentialing methods rather than the automation of assessment-based skillevaluation through an interface directed towards instructors, an approach explored and improvedupon in this paper.The Badgr framework grants instructors and course designers the ability to manage badgerequirements in the courses and review privacy protected leader boards and other features suchas learning pathways to motivate students through the course. Badgr provides a leaderboard thathelps to track individual student performance and provides a gamified view of