community college pipeline has played an important role in providing access to highereducation for students whose circumstances may have precluded their enrollment at four-yearinstitutions for the entire duration of their undergraduate education. This is especially true forwomen, members of marginalized communities, non-traditional students over the age of 24, andindividuals of low socioeconomic status, all of whom continue to be underrepresented in STEMfields. Roughly 40 percent of first time in college (FTIC) students pursuing higher education inthe United Stated start in community colleges [1] [2]. Out of 632,051 students who first enrolledat a community college in the fall 2015 term, 31.6 percent (199,913) transferred to a four-yearinstitution
Participation in Computing/Engineering (BPC/BPE)initiatives almost exclusively center a binary gender model focusing on girls and women as staticcategories [1]. However, recent surveys [2] suggests that 2.1% of Gen Z adults identify astransgender (that is, have a gender identity that differs from the sex they were assigned at birth[3]). Additionally, in research presented at the 2022 RESPECT conference, we showed that thereare at least 10,850 nonbinary1 K–12 students in the United States registered across nine differentstates [4]. As the number of people who identify as transgender and nonbinary (TNB) increase,current best practices regarding approaching gender in computing and engineering need to berevised [5]. To further support future gender diverse
majors.IntroductionThere has been significant study associated with the equity of access to college and the collegeadmissions process [1] [2] [3]. There are also advocates who are drawing attention to the fact thatseemingly neutral policies such as requiring remedial courses and limited credit transfers fromassociate degree programs can have unintended consequences and contribute to structural racismin higher education [4]. However, there has been less study of policies regarding tuition and feesoutside of financial aid and assistance. The work recently done in [5], explores how tuition and feesystems in different countries support or inhibit participation of low-income students. While thereare numerous financial aid options in the form of grants and special
instructors a unique student perspective and insight into the efficacy of thecourse design. Our hope is that colleagues interested in teaching a similar course at their owninstitutions can adopt our methods, and thereby reduce their preparation work and increasestudent engagement.1: Introduction1.0: MotivationML is becoming an essential component of the modern, evolving maritime industry, with use-cases including autonomous navigation, ship maintenance and monitoring, voyage optimization,ship design, and smart utilization of onboard electrical power distribution systems [1], [2]. Withthe industry expected to spend almost three billion dollars between 2022 and 2027 on MLsolutions, ML scientists and engineers with domain-specific expertise and the
following research questions: 1) What types of programs are offered to support community college students in engineering-for-transfer programs? 2) What aspects of these programs contribute to the success of students who have responsibilities like employment or caretaking of another person? The systematized literature review resulted in nineteen peer-reviewed journal articles,published after 2010, collected from the Compendex and ERIC databases. These papers werethematically analyzed and results compared. These papers all addressed, to some extent, theexperiences and transfer outcomes of working or caretaking community college students inScience, Technology, Engineering, and Mathematics (STEM) degrees. Results
the world. Developments overthe past decade have focused on sustainable long-distance aviation technologies, urban airmobility, low-cost access to space, and the commercialization of human spaceflight, to name buta few. These and other projects continue to demand talented engineers to support their researchand development. The NSF REDO-E grant supporting this study identifies several ways in whichdiversity in engineering consistently yields improvements across many facets of the discipline.Groups with higher diversity consistently demonstrate improved overall performance [1] as wellas improved understanding of relevant subject matter [2]. Such groups are also more adept atmaking ethical decisions [3], which is of especially critical
. (Engineering Education) graduate student at Utah State University. His M.S. research is in experimental fluid dynamics, his Ph.D. work ex- amines student social support networks in engineering education, and his other research activities include developing low-cost technology-based tools for improving fluid dynamics education. ©American Society for Engineering Education, 2023 Uncovering Student Social Networks: Entity Resolution Methods for Ambiguous Interaction DataIntroduction Over the last century, cognitive psychologists have proposed that social interactions are akey component of student learning [1]–[4]. For example, Albert Bandura’s Social LearningTheory [5] posits
groups can be found to support improved curriculumdevelopment.IntroductionAn increasingly strong body of educational research suggests that Problem-Based Learning(PBL) is a highly effective way of training students for success in the workforce [1]-[3].Specifically, research shows that engineering students benefit from the “real world” elements ofPBL teaching methods more than the traditional teaching strategies often found in collegiateengineering programs [1]-[3]. However, while many engineering faculty are experts within theirfield, they are often not experts in pedagogy and may not have the expertise needed tosuccessfully navigate a transition from traditional teaching practices to PBL [4], [5].Managing a successful transition to a PBL
industry's nominal value added was 4.1 percent of the GDP andis projected to reach a Compound Annual Growth Rate of 5 percent from 2022-2026 [1]. Thisprojection of industry growth exacerbates the ongoing crisis of the current workforce shortage inthe U.S. construction industry. As the Millennial generation continues to enter the workforcewhile the Baby Boomers generation is approaching retirement, there is a growing concern thattraditional engineering and construction education systems do not prepare students for variousworkforce challenges, and the workforce demand will not be met in a timely manner. BabyBoomers are the generation born between 1946 and 1964 that are currently in management andleadership positions. Baby Boomers' generation stands
relationshipsbetween time management, self-efficacy, course load, and academic performance. Students in thefully remote course reported better time management and self efficacy than students in the hybridcourse, and there were significant relationships between time management, self efficacy, andacademic performance in both course formats.IntroductionWhile online classes have been widely available for a few decades [1], the COVID-19 pandemicforced college students who had selected in-person engineering instruction into online or hybridclasses. These learning environment changes led to shifts in students’ time management behavior.Because undergraduate engineering programs are career-centric, helping future graduates developskills like time management before
of makerspaces in academic libraries over time, with anemphasis on the way that these spaces have been used in engineering programs and pedagogy.University Makerspaces: Brief HistoryMakerspaces as university resources are a relatively recent development, dating back to around2001, when MIT opened its Center for Bits & Atoms [1]. By 2015, a section of the annual NMCHorizon Report: 2015 Higher Education Edition was devoted to a discussion of makerspaces.Horizon reports attempt to identify key trends and technologies impacting higher education, andit predicted that the time to adoption of makerspaces was two to three years. The report stated: The turn of the 21st century has signaled a shift in what types of skillsets have
rights and obligations, and monitoring andregulating risk factors. The paper also assesses the respective strengths and limitations of each ofthe two approaches of partnerships. This paper also studies the applicable situations of the twocooperation modes. Based on the comparative case study, this paper summarizes the key success factors foreffective partnerships between Chinese universities and companies in preparing professionalmaster’s students for the workplace: (1) shared understanding of the educational functions ofpractice studies; (2) clear deliverables; (3) stability of practice duration; and (4) flexibility inconnecting students to projects.1. Introduction With the development of science and technology, the demand for high-end
thinking about faculty mentorship and offers an approach to potentiallyremediate negative mentoring experiences.IntroductionAn activity often cited as critical for success in any field is mentorship. However, scholars fromeducation, management, and psychology have defined mentorship differently [1], oftenconflating such activities with other types of developmental functions or relationships such asrole modeling [2], teaching or coaching [3], and professional development training [4]. Thisvariation in how mentorship is perceived can lead to challenges clarifying mentorship as aphenomenon [5]. Therefore, it’s important to understand effective mentorship and how it mightvary from person to person to ensure such interactions benefit all involved.The
individual and group lab assignments, the authors discovered that (1) students arecomfortable with both individual lab kits and benchtop equipment and view these two resourcesas complementary, (2) students see value in individually-completed labs but also like the peer-to-peer mentoring that can occur when working with a lab partner, and (3) students are using labkits outside of class for a variety of activities, including self-directed learning. Disadvantagesand limitations of lab kits are also reviewed and discussed.1. IntroductionIndividual lab kits have been evaluated as a tool to enhance active learning, even before thepandemic [1], and many types of lab kits have been designed for specific courses [2] [3] [4]. Thepandemic pushed many educators
(https://serc.carleton.edu/stemfutures/index.html) brought together educators from a variety ofuniversities to develop framework-guided curricula that align with the dimensions of 21st centurylearning by Kereliuk et. al [1]. The framework, found in figure 1, illustrates how three types ofknowledge, foundational (to know), meta (to act), and humanistic (to value), relate to learning inSTEM subjects. The framework is designed to “account not only for what ought to be known,but also for the unique contexts, cultures, and challenges that would-be innovators need toinclude in their approach to improving the world.” [1]. Foundational •Core content
objectives” [1]. Additionally, literature from Industrial and Organizational(I/O) Psychology has highlighted the relationship between effective conflict management andteam performance [2], [3]. Helping students effectively manage conflict and establish inclusiveteam environments are important skills that are essential for their ability to work on teams intheir future careers. However, the literature suggests that many engineering instructors havelimited training and confidence to facilitate learning experiences that help students developteamwork and conflict management skills [4], [5]. One way to help students develop and practiceconflict management skills in the classroom is through scenario-based learning. Conflictscenarios have been used in prior
promising tool for holistically assessing design solutions in engineering education.Additionally, given the strong correlation between ranks of students and faculty, ACJ couldbe used to include students in their own assessment to reduce the faculty grading burden or todevelop a shared construct of capability which could increase the alignment of teaching andlearning.Key Words: Engineering Education, Design, Assessment, Adaptive Comparative Judgement.BackgroundIn the recent past, an increasing emphasis has been placed on the development ofundergraduate engineering students’ design capabilities, with a focus on enabling students todevelop innovative and creative design solutions [1], [2]. This change has been driven bydesign being mandated by ABET as
Agricultural and Mechanical University, and TennesseeState University are collaborating on a National Science Foundation (NSF) Historically BlackCollege and University Undergraduate Program (HBCU-UP) Award #2000244. Our researchteam was formed at the NSF sponsored HBCU Engineering Faculty workshop hosted by theAssociation of Public & Land-Grant Universities (APLU) at the Tennessee State University backin May 2018. The purpose of the three-day workshop was to assist HBCU Engineering facultywith: (1) Improving student learning in engineering; (2) Sharing innovative strategies to improvethe retention and graduation of engineering students: and (3) Providing tools and strategies fordeveloping grant proposals and effectively competing in national grant
activity exposurechallenge through the implementation of new educational science procedural standards thatincorporate engineering thinking such as SEPS (Scientific and Engineering Practices Standards).The challenge is that K-12 (high school focus) is still very siloed, so a difficult roll-out [1], [2].Some colleges are implementing pre-course trainings to help incoming students better preparefor college, such as summer bridge courses and pre-course preparation sessions [3], [4], [5], [6].These tend to focus on a particular topic and typically do not explore interdisciplinary elements[7], [8].Extracurricular student organizations and clubs are assembled to foster student engagement ofspecific topics. These are often student run with limited faculty
Paper ID #37135Using Artificial Intelligence in Academia to Help Students Choose TheirEngineering ProgramDr. Shatha Jawad, National University Dr. Shatha Jawad has more than 22 years of experience in teaching and more than three years as a software engineer. She had UNESCO Fellowship in the field of Information and Communication Technologies, in 2002. Her Ph.D. is in computer engineering. She is a member of the Institute for Learning-enabled Op- timization at Scale (TILOS) which has an NSF grant that began on November 1, 2021, for five years. TILOS is a National Science Foundation funded Artificial Intelligence (AI
have been changing to produce competentpractitioners who will be prepared for the multifaceted challenges of current technological advancements.Today’s real-world problems are more global and typically are not confined to a single discipline. Theknowledge needed by engineering or engineering technology graduates joining the workforce comes fromdifferent domains and disciplines. According to a Purdue University survey of employers in 2013, skillsand competencies that employers are seeking from recent graduates include: innovation as a priority,followed by problem solving in diverse settings, critical thinking, and complex problem solving [1]. Thesurvey revealed that innovation, critical thinking, and complex problem solving are becoming
undergraduate studies, including computer science. Some 90% of thestudents in this project were Hispanic. The course was piloted over four semesters, whichallowed the instructional team to perfect the approaches that were most successful for studentsuccess. The leadership course integrated two primary approaches: 1) a relational model ofleadership used to examine complexities that arise when technology professionals encountermultiple perspectives and diverse ideas; and 2) cooperative learning approaches, includingconstructive academic controversy model, used to develop leadership skills whilecontextualizing the role of ethics in computing. The course culminated in an academiccontroversy exercise where student teams examined the Facebook /Whistleblower
Paper ID #36797Using Conceptual Cost Estimating as a Constraint and Tool in DesignCurriculumProf. Eric Anderson R.A., State University of New York, College of Technology at Farmingdale Eric Anderson is an architect and educator with more than thirty years in educational and non-profit facil- ities planning and management. He has overseen the planning and/or construction of over $ 1 billion of capital improvement for non-profit and educational institutions in New Mexico, West Virginia, Nevada, and New York. He is a registered architect in New York and West Virginia. Professional memberships include the American Institute
mechanical andindustrial engineering programs provide coursework in Computer Aided Design or Finite ElementAnalysis. These tools are especially useful and applicable after a design is conceptualized and theprimary challenge is to develop a detailed design. In detailing stages of design thinking, the fivecommonly established steps [1,2] are to 1. Empathize, 2. Define, 3. Ideate, 4. Prototype, and 5. Test.Most work and papers on these topics focus on what needs to be done at each design stage. Wepropose a frugal engineering framework with a well-established Value Analysis technique as a core toteaching a structured methodology on how to transform a conceptual idea into a more detailed design.In order to prevent the
technical and engineering education conferences. Areas of expertise and research interest include, Deformation & Failure Mecha- nisms, Materials Science, Fracture Mechanics, Process-Structure-Property Relationships, Finite Element Stress Analysis Modeling, Failure Analysis, ASME BPV Code Sec VIII Div. 1 &2, API 579/ASME FFS- 1 Code, Materials Testing and Engineering Education. Professionally registered engineer in the State of Texas (PE).Jonathan Weaver-Rosen ©American Society for Engineering Education, 2023 Vertical Integration of Teamwork Skills from Sophomore to Senior and Beyond!Introduction Importance of Teamwork Skills in Engineering
the team.United Consulting provides expert consulting engineering and geotechnical services for the builtenvironment. There are three basic missions to be accomplished by the UAS: 1) Survey a largearea of land to collect topographical data, 2) Bridge inspection and 3) Manhole probing mission.For 1st and 2nd missions, optical cameras are the primary payloads. For the manhole probingmission, a unique module is designed to lower a data collection tube, encased in a rigid telescopingmechanism into a manhole, while the UAS hover overhead. The tube collects air quality data. Keyrequirements include the ability of the UAS to maintain a minimum flight endurance of 30 minutesfor the heaviest (manhole probing) mission, have a flight range of one 1 mile
TechnologyAccreditation Commission (ETAC) requires baccalaureate engineering technology programs toinclude a capstone project. Capstone project courses are designed to develop the student’s abilityto integrate technical and non-technical skills [1]. Technical skills are developed in the normalsequence of required coursework. The non-technical skills such as communication, timemanagement, project management, and interpersonal skills such as teamwork are developedthroughout the capstone course. The University of New Hampshire at Manchester (UNHM) usesa two-course, one academic year capstone project (fall and spring terms). The course combinesboth Mechanical and Electrical Engineering Technology (MET-EET) program students.An ideal capstone project involves an open
further capitalized on (test taking and studentcare services). These results have led the CE department to evaluate the remote and hybriddelivery modes of courses as potential instruction alternative modes to support students in thepost pandemic learning environment. 1. BackgroundWhen the World Health Organization declared the pandemic (Covid-19) worldwide, it forcedshutdown of the universities with its educational in-person activities. As reported by the UnitedNations [1], almost 1.6 billion students were affected by this shutdown. This crisis led schools inthe United States to move to virtual online instruction and remote learning [2][3]. CaliforniaState Polytechnic University, Pomona (CPP) faculty were instructed in a matter of weeks
engineering education tool, it is only natural that we measure what impact the toolshave on the students’ learning outcomes.To this end, we formulated two main research questions which are underpinned by student motivation: 1. What aspects of the active learning programming activities (desktop robot) would the students find motivating? 2. What are the differences between the reinforcement tools ( AR robot and physical robot) in motivating the students?2 Background2.1 Robots and AR/VR in Education Robots have been used in education to enhance learning experiences and provide students with hands-on opportuni- ties to develop critical skills such as problem-solving, coding, and teamwork (Yuen et al., 2014). In some settings, using robotics