Paper ID #34705Work in Progress: Engaging First-year Students in Programming 1 DuringCOVID-19Dr. Stephany Coffman-Wolph, Ohio Northern University Dr. Stephany Coffman-Wolph is an Assistant Professor at Ohio Northern University in the Department of Electrical, Computer Engineering, and Computer Science (ECCS). Research interests include: Artifi- cial Intelligence, Fuzzy Logic, Game Theory, Teaching Computer Science, STEM Outreach, Increasing diversity in STEM (women and first generation), and Software Engineering. American c Society for Engineering Education, 2021
Paper ID #32379Demographic Leadership: A First-of-Its-Kind Diversity Leadership OnlineCourse in a Tier-1 University Doctorate Degree ProgramDr. Mitchell L. Springer, Purdue University, West Lafayette Dr. Mitchell L. Springer PMP, SPHR, SHRM-SCP Dr. Springer currently serves as an Executive Director for Purdue University’s Polytechnic Institute lo- cated in West Lafayette, Indiana. He has over thirty-five years of theoretical and defense industry-based practical experience from four disciplines: software engineering, systems engineering, program manage- ment and human resources. Dr. Springer possesses a significant
module has also been developed for a mechanicalengineering training course (Scaravettia & Doroszewski, 2019). The study of Scaravettia &Doroszewski (2019) noticed that the relevant information about the complexity of a mechanism isextracted easier with the support of AR modules. This result also suggests the potential ability toshorten and enhance learning process in the specific mechanical engineering training (Scaravettia& Doroszewski, 2019).Methodology Researchers developed an AR application (ARCADE) in Creo Parametric, Unity Engine,and Vuforia platform. Image targets are technical drawings with projected views of a 3D objectscreated by Creo Parametric (Figure 1). The application installs on mobile devices and track
American c Society for Engineering Education, 2021 Building Self-efficacy and Interest in Engineering through DesignIntroductionAn NSF study that was completed in 2007 entitled Investigating the Gender Component inEngineering [1] studied factors that promote interest in engineering among undergraduatewomen at several institutions, including at Dartmouth. Elements of the culture and courses atDartmouth that were identified by Craemer’s study [1] to promote interest in engineering amongundergraduate students who identify as women included the use of a collaborative problem-solving approach, flexibility in the curriculum, focus on real-world problems with socialsignificance, and the interdisciplinary nature
Communication(BCOM) course work in teams on a hypothetical Corporate Social Responsibility (CSR) project.Students identify a social need in their community and develop a plan to address the problem.Teams also identify companies that could be interested in funding the project. While the projectis hypothetical, it mirrors actual CSR efforts undertaken by organizations to enhance theirreputations and images.As papers presented at recent ASEE conferences show [1], engineering students, just likebusiness students and students from nearly any major, need to develop professionalcommunication skills. To address this need, a partnership between the engineering and businessschools has made it possible for the engineering students to receive specialized training
and inclusionin STEM. The 14 instructors (see table 1) who participated represent a range of institutional roles(e.g., adjunct instructors, professors, and a department chair) and personal identities (e.g.,women, people of color, multilingual, first-generation college graduates). Efforts such as this PLC occupy a unique and underexplored research area supporting STEMfaculty to develop critical awareness to address inclusion and inequity. The field of STEM isparticularly unique regarding efforts to support diversity and inclusion because of the historicalmarginalization of women and people of color in particular (National Science Foundation, 2019;2020). In large part, the historical underrepresentation and marginalization of individuals is
and was categorized as FGCS or Non-FGCS. After removing individuals who did not consent and those under the age of 18, data from19,191 students and 437 instructors remained. Data for instructors and students were matchedusing R software version 4.0.3 (R core team, 2019), resulting in 17,912 survey responses fromstudents, as seen in Table 1.Table 1 Count of survey responses broken down by the gender, race, sexuality, and First-Generation CollegeStudent status of the student and instructor. Matched Social Student Instructor survey Grouping Size for MRM Marker responses
into the Engineering Analysis sequence of courses (Calculus I, II, and IIIfor engineering students) using Learning Catalytics. We are also improving our implementation methodabove and beyond this first iteration. IntroductionDespite a continued focus on course improvement initiated with the calculus reform movement 30 yearsago [1], first year calculus courses continue to be challenging for STEM majors. Our engineering collegecontinues to work diligently to improve retention of freshmen students, paying particular attention to at-risk students, and we have found that math performance is closely related to retention [2]. The calculuscourses for engineering students are taught within our engineering
. They were attempting to open the black box described in the National Academy ofEngineering’s Pathways (2018) study [1], which spoke of the different ways in which studentsexperienced engineering education, and used their experiences as a stepping stone to a variety ofcareers, including many outside of engineering.Undergraduate engineering education has almost always attempted to provide a professionaldegree, or at least the foundations of a professional degree, in just four years. This, along withthe US commitment to providing a strong general education component at the undergraduatelevel, has made it difficult to unpack how students navigate challenging curricula and providesan important context for changes in engineering education. This
of Dar es Salaam I’m a Chemical and Process Engineering Lecturer at the University of Dar es Salaam. I Lecture two courses: (1) Heat and Mass Transfer; and (2) Quality Assurance in Chemical and Food Industries. I also coordinate gender issues at the College level. Apart from Lecturing I do research ad consultancy. My research interest is on areas related to: 1. Bio-energy 2. Food Value Addition 3. Environment American c Society for Engineering Education, 2021 Tanzania Field School: Place-Based Learning for Portable SkillsWe present a program developed through collaboration between engineering and anthropology faculty that focuses oncontextualized
COVID-19 outcomes hasengendered a global pandemic during the recent year and overwhelmed countries worldwide atan incendiary speed. The World Health Organization declared COVID-19 as being a deadlypandemic because of its infectious nature, its rapid spread across various countries, and itsimpact on medical and institutional communities [1]. Challenges were also observed within theeducational system and some are discussed here [2]. Overnight, universities and schools across the U.S and across the world had to transitionto some form of distance learning in order to satisfy the educational needs of students andprograms and keep faculty, staff, and students safe. Social distancing and the usage of newtechnological tools for remote learning
where she currently teaches Unit Operations Laboratory, Capstone Design, and Conservation Principles. She also developed and has run, for 8 years, a month long faculty led international summer program to Brazil which focuses on Sustainable Energy Technologies. American c Society for Engineering Education, 2021 Lessons Learned Developing and Running a Virtual, Faculty-Led, International Program on Sustainable Energy in BrazilGlobalization in engineering education has become increasingly important, especially whendiscussing innovating sustainable designs and technologies to help relieve the climate crisis [1].However, in 2020 the COVID-19 pandemic has
ofgrowth, technological innovation, and quality of life in theory where the model provides the context with which superstars engineering’s identity Externalthe U.S. As a result, the improvement of K-12 student develop an engineering teaching professional identity and Politicalachievement in STEM has broad national support [1]. narrative identity theory provides a mechanism for understanding
developed. Thelearning is deductive only and provides no context for students on why they are learning thematerial or how it will apply to their future engineering careers [1]. Many pedagogical tools thataim to establish connections between the engineering curriculum and industry practices havebeen investigated and implemented with varying degrees of success, such as project basedlearning (PBL) [2,3] competency based learning (CBL) [4], and inductive teaching [1]. However,adjustments to the curriculum to support these alternate pedagogical tools may still overlook theformat of the corresponding assessment items. Assessment techniques that have not beendesigned specifically to complement the course remain in a generic format that is only relevantto
empathy has recently gained significant interest and most ofthis research is focused on developing and fostering empathy among engineering students.Teacher empathy is a relatively new direction yet to be taken in engineering education. In thisstudy, we are interested in developing a preliminary understanding of the views about teacherempathy among engineering faculty. The research question that guides this work is, how doengineering faculty members define, understand, and value teacher empathy? We used the Modelof Empathy Framework [1] as a lens to understand the perspectives of the faculty members.While the framework is developed specifically to understand various attributes of empathyamong engineers and engineering students, we used this
a semester that is already packedwith other course requirements and activities. With other priorities demanding student andfaculty time, realizing interaction between industry experts and students in design courses may ormay not be achievable. Research to understand the value of expert interactions may informeducators as to the pedagogical value and provide support for including these activities in designcourses.In this paper, the Airport Cooperative Research Program (ACRP) Design Competition wasselected for three reasons: 1) interaction with experts is part of the competition requirements, 2)winning design proposal packages are available on a website for the ACRP Design Competition[1], and 3) the authors have participated in the
ofunconventional aerospace concepts, might naturally increase diversity in the field. The developed game,Space (Traffic) Jam!, teaches K-12 (specifically aimed towards K-6) students about aerospace engineeringthrough a basic analog by relating the familiar subject of road traffic management to the likely unfamiliarsubject of space traffic management. By playing the game, students are able to absorb concepts in avirtual format, one that is more easily digestible than being given the information plainly.IntroductionNationwide data shows that approximately 85% of aerospace engineers are male. Additionally,approximately 15% of all aerospace engineers (regardless of gender identity) comprise underrepresentedethnic groups [1]. Thus, the industry, and
changing course requirements, this study adds the need toeducate students in methods like participatory design that aim to reduce power dynamics andincorporate diverse perspectives throughout the design process.IntroductionAssumptions and biases are embedded into design, whether intentionally or unintentionally, andhave had disparate effects on marginalized communities. For example, facial recognitiontechnology is less likely to recognize people of color [1], attempts to automate public benefitsystems have resulted in exacerbating adverse outcomes among low-income individuals [2], andseat belt design based on the average male body puts female drivers at a higher risk for injury[3]. The designs of these solutions are typically reliant on the
Engineering Technology CoursesAbstractPenn State University requires that before any technology intended for classroom use isapproved for purchase, including renewals of software currently in classroom use, there must bean equally effective alternate access plan (EEAAP) in place for that technology. The plan mustanswer the question “What will you do if a person with a disability gets involved in yourprogram and is impacted by the lack of accessibility on this technology.” The motivation for thisrequirement is compliance with the Americans with Disabilities Act (ADA), as amended in 2008[1]. This paper details the process that faculty at Penn State Behrend undertook to create astandard EEAAP that can be used as a template when
alsoreceives students who are unable to complete at a 4-year school due to relocation and job-relatedissues. Placing all upper division courses online has also aided our traditional on campusstudents by giving students the opportunity to take a course while at co-ops and internships.Survey feedback from face to face and online students indicates no major issues with theeducational experience. Outcome assessment data and student course evaluations indicates asimilar level of performance between online and face to face students. Student placement datadoes not indicate problems with the online program.1. introductionThe pathway to an engineering degree may be blocked for some students due to location andtime of day restrictions. Online degree options can
adoption of smart andautonomous systems fueled by advanced data processing and machine learning. Althoughconstruction management (CM) students are exposed to current fundamentals of constructiontechnologies including BIM, students may potentially lack the fundamental knowledge andtechnological skills required for efficiently integrating, programming, and controlling robotics onconstruction sites. As such, it is critical to investigate CM students’ skill gaps in order to preparethe graduating future workforces with the required advanced automation-based technologies.This study aims to investigate: (1) the preparedness of CM students in terms of their ability tounderstand machine learning techniques and work with smart technologies such as Robotics
entering doctoral engineering programsand aims to provide a timely and preparatory experience for rising doctoral students inengineering to address issues related to transitioning into the Ph.D. The purpose of this paper isto describe the RDI intervention hosted in 2019, the research findings obtained from this pilot,and outline the RDI Dissemination Model we have developed and will be executing over thenext five years.Program Description The goals of the pilot RDI program were to 1) provide a timely orientation for risingdoctoral students about preparing themselves to start graduate school, 2) create a mentoringnetwork where minority graduate students at proposal and dissertation phases (DI participants)can mentor rising doctoral students
development at 2-year Hispanic Serving Institutions (HSIs).The goal of HSI ATE Hub is to build capacity and leadership at 2-year HSIs for developingcompetitive ATE proposals to elevate 2-year HSIs as drivers of their community’s economicsuccess via technician education.Data sets from three annual HSI ATE Hub Cohorts, four prior KickStarter Cohorts, and nineMentor-Connect Cohorts have been aggregated to assess the following research questions about2-year HSIs: 1. Are there unique opportunities/barriers/challenges related to STEM program development and grant-writing endeavors for advanced technological education? 2. How do we build capacity to pursue the opportunities and address the barriers/challenges? 3. How do mentoring efforts
practiceand application with weekly faculty cohort meetings, coaching, and reflection.Introduction and BackgroundThe importance of undergraduate research is well understood, as it increases student self-efficacy, introduces new career opportunities, and encourages persistence to degreecompletion [1, 2]. The merits of multi-year research experiences and the influence of mentorsare also well-documented [3, 4]. The benefit of research experiences for undergraduates(REUs) is so significant that the National Science Foundation (NSF) supports multipleannual summer REUs through annual grants. Students have the opportunities to apply toREUs nationwide and, if selected, have the opportunity to travel to another campus, workwith a faculty researcher, and learn
bachelor’s degree in aerospace engineering from MIT and a master’s degree in systems engineering from the University of Virginia. Alexandra comes to FIU af- ter completing a postdoctoral fellowship at Georgia Tech’s Center for the Enhancement of Teaching and Learning (CETL) and three years as a faculty member at Olin College of Engineering in Massachusetts. Alexandra’s research aims to amplify the voices and work of students, educators, and Minority-Serving Institutions (MSIs) overall and support continued educational innovation within engineering at these in- stitutions. Specifically, she focuses on (1) educational and professional development of graduate students and faculty, (2) critical transitions in education and
grounded by the mutual mentoring model (Yun et al., 2016) conceptualframework offered an in-depth understanding of the potential efficacy of goal-match mentoring.Deductive data analysis strategies established by Stake (1995) were utilized to examine theinterview data. Three themes emerged on the potential efficacy of goal-match mentoring: (1)Identifying a career goal prior to the beginning of the mentoring match requires deep reflectionon behalf of the mentee and promotes goal accountability; (2) The mentoring relationshipquickly blooms as the nature of the mentoring need is identified early in the process; and (3) Theexpertise of the mentor is swiftly leveraged for the maximum benefit of the mentee. Thesefindings reveal the value of mentoring
is to only accommodate an exclusive population of studentswhile the less conventional students are forgotten and left behind. Instead, we show howIoT can be used to bring the outlier students into the system. IoT can also be used toprovide substantial educational assistance. IoT creates opportunities for vicarious andvirtual inclusion. IoT is the tool, and now is the time to build an education system for allstudents, not just those that fit academia’s cost-efficient model of mass education. Thepaper includes cases where IoT is being successfully used to democratize education.Keywords: Education 4.0, Industry 4.0, IoT, Remote learning, Inclusive education.1. Introduction: Inclusive and Exclusive EducationPerhaps the term “inclusive education
discussions of: 1) critical activities that may have influenced student reactionsand outcomes; 2) impact on instructors and learning objectives; 3) suggestions forfuture strategies will be presented and described.Dedication:As authors, we are a collection of Indigenous and non-Indigenous educators andresearchers ranging from decades of experience to a graduate student that have cometogether through a pre-engineering collaborative. We live and work on the Land of theOceti Sakowin (Dakota, Nakota, Lakota), Anishinaabe, Nueta, Hidatsa, and SahnishPeoples. We honor the land as sentient, alive before us and continuing after us.Introduction and Background: The nature of the SARS-COVID-2 pandemic has sent ripples across educationalsystems on a global scale
teaching capacities of educators in sub-SaharanAfrica is one of the most effective ways of improving the state of education, and indirectly,the quality of life of Sub-Saharan African citizens [1]–[3]. Consequently, effective teacherdevelopment requires an intimate knowledge of the current state of teacher development inthe subcontinent. This study was motivated by a recognition of that need. We begin with anexplanation of the current state of human development in sub-Saharan Africa. Then weremark on efforts that have been directed towards improvement. We comment on the successreports so far but establish why proper consideration needs to be given to this topic in orderfor constituting countries in sub-Saharan Africa to fashion their socio
instructions within computer programs that direct how theseprograms read, collect, process, and analyze data. We use the term bias to refer to computeralgorithms that systematically discriminate against certain content, individuals, or groupswithout a sound basis [1].As automated systems become an integral part of many decisions that affect our daily life,civil rights, and public discourse, there is concern among social scientists and computerscientists about the presence of bias in machine learning and big-data algorithms. A body ofwork has appeared in popular as well as scholarly literature addressing algorithm bias. In2018, then visiting assistant professor at the University of Southern California, Safiya Noble[2], who also holds a faculty