contributing to student’s perceptions of their competence, autonomy,and relatedness. Implications for mathematics faculty about how to make course structures moremotivationally supportive for calculus students will be discussed.IntroductionCalculus I serves as a gatekeeper course to STEM majors [1],[2]. In addition to having a highfailure rate, students leave this course with a decreased confidence and enjoyment ofmathematics, with students at research universities showing the greatest decrease in these aspectsthroughout the course [3]. This poses a significant challenge since these universities are the mainsource of our future scientists and engineers, and our nation is in need of more STEM majorsentering the workforce in order to sustain our global
several identity theories to describe a form of identification that operates across thepersonal, role, and group-bases of identity (Burke, 2003), and involves a three part process wherebyindividuals (1) internalize self-meanings that position them as similar to others (i.e., sameness), (2)stigmatize personal characteristics, roles, and groups viewed as out-groups (i.e., differentiation), and (3)rank the relative importance of a given identity within the broader self-concept (i.e., centrality).Moreover, the relevant meanings attached to the self (i.e., the content of the identity), and bases ofidentity most relevant at a given moment (i.e., personal, role, or group-bases), are presumed to vary acrossdifferent social, cultural and institutional
overlooked by practitioners and researchers. Additionally, the platform has supportedworkshops organized across the country. Workshops are co-organized with organizations thatoperate large backbone networks connecting research centers and national laboratories, andcolleges and universities conducting teaching and research activities.1. IntroductionGeneral-purpose enterprise networks are capable of transporting basic data, e.g., emails,multimedia, and web content. However, these networks face many challenges when movingpetabytes (PBs) of scientific data, e.g., genomic, climate, imaging, and high-energy physics, [1].As a response, network architects have developed the concept of a Science Demilitarized Zone(Science DMZ or S-DMZ) [2] as parts of a
welcoming climate as well as nurturingprofessors and students. The current study focuses on transfer students in engineering at a publicuniversity in the MidAtlantic. The data are drawn from a baseline survey about the climate fordiversity and inclusion administered to all engineering college students in the Fall of 2016 andrepeated mid-year 2018-9. Suggested supports for transfer students are discussed in the paper’sconclusions.IntroductionThe proportion of vertical transfer students from two-year to four-year institutions of highereducation has been increasing over the past several decades, and most recently since 2008 [1].This pipeline is especially important for minorities and underrepresented groups in highereducation, especially those of
while satisfying the need for institutional accountability.ePortfolios help to facilitate deeper understanding of course content, make the curriculum morerelevant for students, and build connections between classroom and professional learningcompetencies. Of importance to this investigation is the emphasis placed on 1) personalreflection in the context of developing required competencies in engineering practice and 2) theinterconnected roles of emotional engagement and cognitive engagement. Results from studentevaluation questionnaires suggest that ePortfolios effectively connect teaching, learning, andindividualized assessment, making them a valuable pedagogy in engineering education.IntroductionePortfoliosEmployers nowadays focus less on
approach hasbeen used in two sections of a linear circuit analysis course in Fall 2019, and student survey datais presented to show preference for the new method over the usual textbook method. Aninteractive multiple-choice tutorial describing the new method has been integrated into a step-based tutoring system for linear circuit analysis.1. IntroductionElementary linear circuit analysis is one of the most widely taught gateway courses in virtuallyall engineering schools. For example, such a course was taught to 1364 students in 26 classsections in Summer 2019 through Spring 2020 at the author’s institution alone. Such coursesvary in that they may sometimes include topics in electronics or signal processing, but in generalthey tend to cover a well
math instructors. Acrossthe variety of types in undergraduate mathematics, exams are primarily seen by students andfaculty as summative assessments. Dixson and Worrell [1] describe summative assessments ascumulative exams that “capture what a student has learned” (p. 156). Formative assessments, bycomparison, “provide feedback to teachers and students to help learn more effectively” [1], page154). When students are expected to both perform and learn from their mistakes on exams, thoseexams are both summative and formative in nature. However, when student grades dependheavily on exam averages, which is typically the case in undergraduate math courses, studentsare most likely to view exams as summative assessments unless otherwise
to be a useful tool for connecting and organizing course topics forboth students and instructors.IntroductionConstructivist learning theory, in which learners create their own meaning of new material andmake connections with prior knowledge, is the basis for a variety of active learning approaches[1], [2]. Creating a concept map is one way for students to represent connections between ideas.Concept maps, or mind maps, are visual representations of the organization and connectionsbetween pieces of information [3]–[5]. Relationships between various concepts are shown byconnecting lines or arcs. Concept mapping has been used as an educational tool for more thanthirty years, but has recently gained attention in STEM (science, technology
foundthat team conflict is highly negatively correlated with team performance and team enjoyment incapstone design courses, with 1 in 4 students reporting that they experienced significant conflict,with the majority of cases consisting of conflict of a personal, or relationship, nature [1].In 2015, a series of teamwork training modules were developed by the Teamwork Clinic throughthe collaboration of various departments on campus [2]. Each of the six modules were designedto integrate seamlessly into courses with large or lengthy design projects, with the goal thatstudents apply what they learn directly to their team processes and team projects. This papercontinues to expand on work that has been published about the first four teamwork modules inthe
projects.BackgroundTeamwork is an important skill for engineers, recognized by inclusion among the studentlearning outcomes in ABET [1]. Teamwork incorporates an array of skills including verbalcommunication, listening, and respectful collaboration. Being a good teammate alsoencompasses a variety of attitudes including honesty, open mindedness, tolerance, diligence,reliability, and being considerate [2, pg. 147]. Engineering teams may include individuals fromdiverse demographic groups (gender, race/ethnicity), as well as an array of characteristics thatare not visible. Cultural differences among teammates may be significant as engineeringbecomes increasingly globalized [2, 3]. The American Society of Civil Engineers included in itsBody of Knowledge (CEBOK3) [4
to measure usability and user experiences, a survey wasadministered to student laboratory employees and student end users. Open survey questions werealso included and analyzed for common themes to identify future improvements to the system.Student end users who also utilize lab resources in other areas of the School of Engineeringcompare and contrast their experiences between systems in terms of usability. Lab staff andinstructor perspectives will be discussed.Background Our Bioengineering, also referred to as Biomedical Engineering, educational laboratory,serves as both a teaching laboratory for regular laboratory courses, while at the same timeremains open for general use, as a “MakerSpace.” 1 While some of these classes use
is ensuring a student begins a project with most of the skills needed to complete it,this paper outlines an extreme counterexample. We demonstrate that by taking advantage ofstudent motivation, projects requiring skill sets far beyond those possessed by students at thebeginning of the project can be both feasible and highly educational. Our hope is that readers ofthis paper will be able to use the design and construction of a low-power HET or similar projectsin their own education as an applied way to learn fundamental physics while also customizing thisproject structure to address individual students’ learning goals.1 IntroductionOver the course of a single semester, from September to December of 2018, we—a group of fourundergraduate
details in this work. One project’s goal was to identify Soybean (Glycine max)in its Cotyledon (VC) and 1st -5th trifoliate stages, the other project’s goal was to identifyHemp (Cannabis sativa) in its three variations. The databases used in these projects werebuilt from real field images, which contain 9 common weed species. The students’achievement, as well as discovered issues, are assessed and reported in this work. Thestudents’ projects will be further used to support our 1890 Land Grant and CBG research.1. IntroductionIn recent years, artificial intelligence (AI) has become one of the most intriguing researchtopics in the world. As one of the most successful AI structures, deep learning was appliedto various fields including computer vision
orallyand in written form at local or national conferences.Using computer-aided technology, the design and manufacturing of boat propellers are one of thefocuses of undergraduate research projects. The goal is to identify the effects of geometriccharacteristics and the efficiency of blades shape on the propeller's thrust force. The project is intwo phases: In the first phase in summer 2017, a MANE sophomore student was involved in thisproject to redesign a propeller model using a Coordinates Measurement Machine (CMM) andNX 11.0 CAD software. This phase enhanced the student’s hands-on experience in application ofCMM and solid modeling in design process of parts with complicated geometric characteristics.Figure 1 provided the CMM setup for geometry
Society for Engineering Education, 2020Undergraduate STEM Students’ Role in Making Technology Decisions forSolving Calculus Questions and the Impact of These Decisions on LearningCalculus 1 Emre Tokgöz, 1Berrak S. Tekalp, 1Elif. N. Tekalp, and 2Hasan A. Tekalp1 Emre.Tokgoz@qu.edu, 1Berrak.Tekalp@qu.edu, 1Elif.Tekalp@qu.edu, 2Hasan.Tekalp@qu.edu 1 Industrial Engineering, School of Engineering, Quinnipiac University, Hamden, CT, 065182 Mechanical Engineering, School of Engineering, Quinnipiac University, Hamden, CT, 06518 1. IntroductionThere are challenging problems in STEM research that can be solved by using differenttechnologies. STEM students are usually expected to have a good
exacerbates this problem is that this infrastructure still runsmainly on legacy control, monitoring, and protection systems that may not realize its fullpotential. Smart grid has emerged as a powerful promise for improving the reliability, efficiency,security, and sustainability of the next generation power system [1]. It has attracted interest fromfields such as engineering, computer science, economics, sociology, and policy (see, amongothers, [2]–[8]). Despite this diverse interest, there are still critical gaps in the availabletechnology for smart grid. For example, while environmental concerns and energy independencerecommend utilizing renewable resources in the power system, one of the U.S. grand energychallenges remains to integrate large
activities is often focused on the impacts to the K-12 kids (e.g. [2-4]): Do they gain knowledge about engineering? Increase their interest inengineering? In contrast, the research question explored in this work was: What benefits doundergraduate engineering students derive in association with their activities with K-12 students?Undergraduate student development is a common goal for K-12 outreach programs [1],particularly when these programs are aligned with service-learning activities embedded incourses (e.g. [5]). Some studies have examined the impacts of programs engaging with K-12students on the college students. Carberry et al. [6] used surveys, knowledge assessments, andobservations to determine that students participating in the Student
. I. I NTRODUCTIONHigh Performance Computing (HPC) stands at the forefront of engineering innovation [1, 2].With affordable and advanced HPC resources more readily accessible than ever before,computational simulation of complex physical phenomena is an increasingly attractive strategyto predict the physical behavior of diverse engineered systems [2], such as systems in nuclearsafety [3], outcome of cancer treatment [4], or multidimensional flight stresses on aircraft. Tomaintain the U.S.’s leadership position in HPC production and application [2], and to meet theneeds of the rapidly growing HPC market [5], American institutions of higher education mustproduce a sufficient supply of highly-trained HPC professionals. Sadly, at current rates
industry experiences includes engineering positions at Detroit’s ”Big Three:” Ford Motor Company, General Motors Corporation, and Chrysler Corporation. At Stanford she has served a chair of the faculty senate, and recently served as Associate Vice Provost for Graduate Education. American c Society for Engineering Education, 2020 Understanding a Makerspace as a Community of Practice AbstractLave and Wenger’s framework of situated learning [1] provides a keen lens for understanding how a makerspacemakes makers. Stemming from learning theory and cognitive anthropology, situated learning illuminates
that multiple viewpoints and different talents contribute to the work in the field.Career choices in postmodern societyIn postmodern society, the rapid technological change, evolving new technologies,digitalization, and automatization are fundamentally changing the labor market [1, 2]. In thedigital era, the importance of lifelong learning, upskilling, reskilling, and acquisition of newcompetences is emphasized [2]. Postmodern society emphasizes the role of an individual: foradolescents, self-exploration, self-actualization, finding an interesting field of study,developing a satisfying career, and establishing a meaningful life are among the key factorssteering the decisions about education and occupation [3, 4, 5, 6].In the modern world
instruction and group worthy tasks, productive struggle, mathematics-scienceintegration, mathematical modeling, and literacy foci as fitting together in a seamless whole thatallowed instruction guided by this perspective to naturally incorporate these effective practices.Connected to this was the challenge of acquiring and implementing that complex perspective.IntroductionRising Above the Gathering Storm identified the need to “encourage more US citizens to pursuecareers in mathematics, science, and engineering” [1]. Teachers Engaged in STEM and Literacy(Project TESAL) was designed to strengthen the STEM educational and career pipeline inAppalachia. Difficulties attracting students to STEM careers are enhanced in Appalachia andWest Virginia (WV) [2
developcategories of students for further inquiry. Students (n = 22) completed a systems engineeringdesign task, The Solar Urban Design, in which they worked to optimize solar gains of high-risebuildings in both winter and summer months within Energy3D as a part of their engineeringscience classroom. Energy3D is a Computer-Aided Design (CAD) rich design tool withconstruction and analysis capabilities. As students design in Energy3D, a log of all of theirdesign actions and results from analyses are logged. In addition, students took reflective noteswithin Energy3D during and after designing. We computed percentile ranks for the students’design performance for each of the required design elements (i.e. high rise 1 and high rise 2) foreach of the required
convince faculty members in engineering institutions about its importance andbuild a strong community of engineering education researchers in India.Javeed’s (the first author) association with engineering research communities in India andengagement in the private body Indo-Universal Collaboration for Engineering Education (IUCEE)[1] has exposed him to the current state of engineering education in India. Also, this associationhas made him anecdotally aware that very few faculty members seem genuinely interested in EERand the ones who are interested are unsure of how to proceed. There could be many reasons forthis issue, such as lack of awareness of EER, inability to see value in EER, lack of formal trainingopportunities on EER, focus on core
constructed to analyze what predictorconstructs contribute to a stronger identity for either engineering or science and how theseidentities influence career path goals and choices. This study shows that recognition from othersis a significant predictor of individual identity and that personal interest is a significant predictorof how an individual views BME. Gender was not found to influence professional identity orperception of BME in this study.1. IntroductionWhile biomedical engineering (BME) continues to grow as a discipline and the number ofprograms increase, there continues to be difficulties with defining BME [1][2]. BMEincorporates aspects of several science disciplines including biology, chemistry, and physics, aswell as traditional
inventoryIntroductionEngineering core concepts do not necessarily change in time, yet innovations in accessing,capturing, and assessing mental models of learners are needed to guarantee that pedagogicalapproaches align with the learners’ current understanding [1]–[3]. Abstract concepts such aselectricity require varied approaches that effectively facilitate both teaching and learning [3].According to the theoretical framework of conceptual change, students’ role in navigating andlearning these difficult concepts should include extensive engagement in the construction of theirown knowledge and skills, i.e., with the help of multiple and effective approaches to the designof learning environments where students are exposed to [4], with particular focus on properassessment
conceptual understanding.Jessica Rose Driscoll, Stevens Institute of Technology Jessica Driscoll is a Systems Engineering graduate student at Stevens Institute of Technology currently focused on research in engineering education. American c Society for Engineering Education, 2020 Understanding Student Conceptualizations of the Market Context in Engineering DesignIntroductionStudies have shown that engineering students are graduating without all of the skills that theyneed to succeed in professional engineering practice [1] - [4]. Undergraduate engineeringprograms tend to over-focus on technical skills and their applications to problem
graduation, studentsparticipate in curricular and co-curricular activities with the goals of: (1) fostering feelings ofbelonging in engineering and institutional inclusion, (2) encouraging professional development,and (3) supporting academic achievement and student success. These goals are achieved byproviding: (1) opportunities for interaction between students and peers, faculty, and industrymentors; (2) major and career exploration opportunities; and (3) academic support and studentsuccess education in areas such as time management and study skills.AcES students participate in the GRIT, LAESE, and MSLQ surveys, as well as in focus groupsand one-on-one interviews at the start and end of each fall semester and at the end of the springsemester. The
eachother, learn, shape their personality, and live [1], [2]. Several groups can be described as having aculture. Minkov and Hofstede [3] affirm that the study of culture is the study of meanings. Thereare elements like symbols, values, norms, beliefs, behaviors, attitudes, self-perceptions, cognitiveabilities, and stereotypes [3] that have meaning to specific groups, and through these commonelements groups share the same culture.There is significant engineering education research in the United States on understandingdisciplinary engineering culture [4]–[8]. Although culture is considered a complex phenomenon[9]–[11], understanding aspects of it, especially at the disciplinary level, is important to identifypaths to improve engineering education in
institutional support network, which may negatively affect degreepersistence rates [1]. The specific category of engineering students of interest to this study arestudents who enter engineering academic programs with prior work or career experience outsideof the engineering field. These students are identified as second career seeking (SCS) students [2],who may experience unique barriers/demands and may need specific supports/resources to besuccessful in their academic pursuits. The term career in this context is defined as an occupation,which relates to a range of aspects of an individual’s life, learning, and work and is undertaken fora significant period of a person’s life and with opportunities for progress. Career adaptability can be
Engineering students develop competencies through classroom learning, work-integratedlearning outside the classroom, and extra-curricular activities on and off campus [1-3]. In twoways, current engineering education research (EER) does not adequately reflect these multipleinterlinked experiences that contribute to competency formation. Firstly, while much EER hasbeen devoted to students’ classroom learning [4, 5], less emphasis has been placed on work-integrated learning and the synergies arising from learning inside and outside classrooms.Secondly, the potential of existing data sources, such as administrative data, academic recordsand student surveys which engineering schools routinely collect, remains relatively untapped.These data sources are