for enabling fully online course delivery inengineering; particularly in courses that have significant compute-intensive simulation needs.We also discuss the specifications and compute resource optimizations of cloud server instancesin relation to the class size. The long-term viability of this cloud-based model for onlineinstruction is considered based on the user feedback, added value and cost metrics.Secondly, we present a cloud-based computational platform (called DevCloud from Intel), foruse in heterogeneous computing courses. Knowledge of heterogeneous computing systems hasbeen identified by IEEE Computer Society and ACM as a core learning outcome in computerengineering curricula [1]. The paradigm of heterogeneous computing entails a
, infrastructure ortransportation planning, mass transit, the interconnection of infrastructure systems, systemstakeholders, social, economic, and environmental impacts, risks, risk management, sustainabledesign, and resilience.COVID-19 is an abbreviation for "Coronovirus Disease 2019", which is caused by the "severeacute respiratory syndrome coronavirus 2 (SARS-CoV-2)" [1]. The virus was first detected inWuhan, China, in late 2019, and it spread rapidly throughout the world in early 2020. Human-to-human transmission primarily occurs through droplets of saliva or discharge from the nose of aninfected person [2]. In the United States, during the initial stages of the pandemic, state-levelDeclarations of Emergency were issued, which allowed governors of the
(withdraws). To improve academic success, traditional SI programs provide voluntary, non-remedialweekly group sessions led by previously successful students known as SI Leaders, who aretrained to design and facilitate collaborative activities that combine application of difficultcontent and transferable study effectiveness skills, with opportunities for practice that requiresactive engagement of student attendees. The SI model was built upon theories including themediation of learning by social constructivism and interdependence [1, 2] so while developmentof content knowledge and study skills are intentional in sessions, there are often incidentalbenefits, such as developing interpersonal skills, teamwork and a sense of community andbelonging
collaborative instruction among faculty in ComputerScience and Philosophy [1], [2]. Due to challenges with implementing ethics as a stand alonecourse, recent efforts have focused on integrating ethical reasoning in existing courses asstudents are learning technical concepts, to instill that ethical reasoning is needed while writingcode and developing technology, instead of being an isolated activity [1], [3].In developing a model for embedding ethics in the computer science curriculum at HarvardUniversity, Grosz et al. [1] addressed ethics via software design and verification in introductoryundergraduate programming courses. However, introductory engineering computing coursesmay not have these emphases and focus on using basic concepts to solve
introductory physics classusing item response theory. In addition to the methodological (concept mapping for scaledevelopment) and theoretical implications (participatory framework) of this study, its practicalimplications include examining the efficacy of STEM education programs in cultivating specificattitudes and persistence traits as conceptualized by the STEM community.IntroductionAs evidenced in the landmark study by Seymour and Hewitt [1], since the mid-1980s, enrollmentand retention in science and mathematics related fields have decreased. This study has been atrailblazer in starting a movement that has gained national and international attention andtriggered a renaissance in Science, Technology, Engineering, and Mathematics (STEM)education
collaborated with nursing students. Nursing students have strong sciencebackgrounds and are skilled with a wide range of technologies.In this project, the nursing students were both the domain experts and clients. The benefits ofhaving a client for a project have been seen in a number of studies. Using client-based projectsin a first-year engineering design course resulted in a high rate of second to third-year retention[1]. Students showed improvement in needs assessment, design context review, and the overalldesign process and iteration [2]. A sophomore design course with a client reinforced thestudents’ need to be flexible in meeting client needs, developing skills in teamwork, projectmanagement, communication, and design [3]. Client-based service
points. This study investigates if and how the use of the Miro virtual ideation platform affectsideation of small teams of engineering students (n = 65) in a sophomore-level design-for-manufacturability course. Questionnaires were used to evaluate 1) students’ perceived cognitiveand emotional engagement when using Miro, 2) Miro’s utility in authentically subjectingstudents to aspects of design-thinking, and 3) the degree of psychological safety in Miro’s virtualcollaborative environment. The effective use of online ideation tools, like Miro, is of paramountimportance when engineering students are collaborating in an online-only learning environment.Findings from this study will provide insight toward the utility in adopting Miro (or
-based practice paper examines the impact of a classroom activity toteach programming to first-year engineering students. Programming and logic are vitalcomponents of an engineering education. While some may assume programming is onlyimportant in computer science, many engineering disciplines use computer software, whichrequires programming and logic. This is why it is common to teach introductory programmingand computation to all engineering disciplines [1]. However, students often struggle to learnprogramming and come into the first year of engineering with a wide range of priorprogramming experience[2], [3]. The differences can be due to access of computer sciencecourses at the high school level [4], the level of instruction in these courses
builds (loosewiring, bad sensors or actuator components, etc.) For the semester of this research study,Engineering Design & Society, a hands-on makerspace course, was switched to a fully onlinecourse due to COVID. In this temporality online form the course modality was structured as anonline synchronous course with individual at-home Arduino laboratory kits plus the parallelTinkercad Circuits virtual tool.Researchers have investigated comparisons between student performance using either virtual orphysical laboratories [1] [2]. Some studies have also investigated virtual tools that are acompliment to the physical laboratory activities [3]. In this course and research study the goalwas to investigate a more cohesive utilization of both the
firstyear, and students who had their first-year GPA around or below 2.5 ± α but stayed inengineering after the first year. Race/ethnicity in terms of white students versus not-whitestudents is a major characteristic of those uncommon/untypical students, as white students hadmore tendency to leave engineering even with their first-year GPA above 2.5 ± α, and not-whitestudents had more tendency to stay in engineering even with their first-year GPA around orbelow 2.5 ± α. Gender also plays a role among those uncommon/untypical students, as malestudents had more tendency to stay in engineering even with their first-year GPA around orbelow 2.5 ± α. Students who were not honor students were less stable or varied more in theretention outcome.1
classes, as reported in 47 publications from 1985 to 2018. A logic error causes incorrectprogram execution, in contrast to a syntax error, which prevents execution. Logic errors tend to beharder to detect and fix and are more likely to cause students to struggle. The publications described 166common logic errors, which we classified into 11 error categories: input (2 errors), output (1 error),variable (7 errors), computation (21 errors), condition (18 errors), branch (14 errors), loop (27 errors),array (5 errors), function (24 errors), conceptual (43 errors), and miscellaneous (4 errors). Among thoseerrors, we highlighted 43 that seemed to be the most common and/or troublesome. As interest incomputer science education continues to grow, with
for research projects conducted byengineering faculty new to the field of engineering education research (EER) who are trained ineducation methods by an experienced mentor. Since 2016, the RIEF program has supported morethan 45 projects across over 45 institutions. The project seeks to understand best practices ofmentor-mentee relationships between engineering education researchers and engineering facultyentering the engineering education research field. This exploratory, phenomenologicallyinformed [1], qualitative study was guided by the Cognitive Apprentice Model (CAM)framework [2]. Participating in the RIEF program raised questions for the authors and identifiedadditional opportunities to help integrate and support participants in EER. Our
-building, for example, community designers(especially youth) are rarely in the lead. Often, the sense of urgency in a disaster recoverysituation creates a “help the helpless” mindset among aid agencies, and also creates a timeausterity that conflicts with listening, building local consensus, and modifying recovery plans [1][2] [3]. Few funding channels are open to community teams to design and implement their ownsolutions. It is difficult for community designers to access scholarly research and technicalengineering, and difficult for sophisticated engineers to embrace simple, inexpensive solutions.To put this in perspective, we understand development approaches in general, and disaster reliefapproaches in particular, to fall under one of four
and seeing their shared visions come to life.Mr. Ali Karji American c Society for Engineering Education, 2021 Community-Engaged Learning in Construction Education: A Case Study Saeed Rokooei 1, Michelle Garraway 2, Ali Karji 3 1&2 Mississippi State University, 3 Pennsylvania State UniversityAbstract Community-Engaged Learning (CEL) integrates academic education with the application of institutional resources to manage challenges facing communities through engagement so that societal needs identified by a community will be addressed. CEL provides opportunities to
surveyed. Student perception of instructor behavior and student expectations of theirinstructor during the pandemic were also assessed. This paper evaluates the differences in thoseimpacts for engineering (EAC) and engineering technology (ETAC) programs.1. IntroductionThe School of Engineering and Technology at Western Carolina University (WCU) houses fourundergraduate, residential programs – Electrical Engineering (EE), Electrical and ComputerEngineering Technology (ECET), Engineering with Mechanical and Electrical PowerConcentrations (BSE), and Engineering Technology (ET). Two of the programs are primarilyelectrical in nature – EE and ECET, while the other two are primarily mechanical – BSE and ET.The EE and BSE programs are accredited by the
disentangle the nuances among thedifferent groups considered and expand our understanding of the cultural elements in engineeringeducation relevant to student mental health and wellbeing.IntroductionMental health is an emerging topic that has rapidly become a largely discussed issue. Thisparticular discussion has highlighted the ongoing mental health crisis in students at manyuniversities and colleges in the United States [1]. As a whole, college-aged individuals are proneto mental disorders [2]. The effect of said struggles on college students is emphasized uponreturning to school and disrupts these individuals' educational paths [3]. This phenomenon canbe attributed to factors such as financial difficulties, relationship difficulties, concerns
, concerns-based adoption model, conceptual change theory, and earthquake engineering. American c Society for Engineering Education, 2021 Comparison of Conceptual Knowledge of Shear Stress in Beams Between Civil Engineering Undergraduates and PractitionersIntroductionAligning engineering education with engineering practice is essential to prepare students for theprofessional field. Graduate engineers continue to be challenged when connecting theirengineering courses to "real" engineering, which has led to concerns about whether engineeringundergraduates are adequately prepared [1]. Investigations examining the disconnect betweenacademic engineering preparation and
content knowledge, cultural knowledge, and ingenuity, but Comprehensive Ustudents are more self-aware and learn through relationships with others more than students atBig City U.1 IntroductionTo prepare our engineering students to be successful in complex real-world environments,universities must develop well-rounded engineers. This goes far beyond the technical—the 21stcentury engineer is a strong communicator; they are a collaborator and highly innovative. Todevelop students in multi-disciplinary and collaborative efforts, academic institutions around theworld have begun incorporating makerspaces into their campus communities.Makerspaces afford students an opportunity to come together with other students from varyingbackgrounds and expertise to
) in Fall 2020. Theapproach seemed suitable to support students to master the class learning outcomes, by movingfrom a breadth to a depth learning priority. The available research indicates that competency-based learning is ideal to support weaker students while maintaining rigor. It allows them to moveat their own pace and be more successful and confident as they gain a higher level of understandingin the required topics [1], [2].This paper utilizes quantitative and qualitative methods to show whether competency-basedlearning generates positive results in achievements and learning, and to understand whetherstudents positively reacted to mastery learning. The authors will answer the following researchquestions 1. What is the impact of CBL on
number of engineers.IntroductionThe history of engineering is extensive and can be traced back as far as people have been usingmathematics, science, and creativity to invent products, processes, and systems that improvehuman life and address the needs of society. Due to varying needs and degrees of expertiseneeded, specializations and disciplines within the field began to emerge. The formation of civilengineering, often considered the first engineering discipline, occurred during the perfect stormof rapid growth in the electrical, steel, and chemical industries and the increasing number ofinstitutions specializing in industrial arts [1]. Following shortly behind civil engineering wereadditional engineering disciplines that aligned with the
disciplines. American c Society for Engineering Education, 2021 Computational Thinking in First-Grade Students Using a Computational Device (Work-in-progress)IntroductionIn recent years, there has been a growing emphasis on the importance of integrating andimplementing STEM and computational thinking topics across K-12 settings, and considerableattention is being given to essential concepts related to computer science subjects [1]. As codingand software development is a part of full STEM education, there is an increased interest inimplementing computational thinking and problem-solving skills in early education. Therefore,more studies have been done in the past
believethat our modules had a greater impact on those students who were newer to computationalthinking, over those who had prior experience and were enrolled in upper-level computationalcourses.1 IntroductionAccording to Wing, Computational Thinking (CT) is the thought processes involved informulating a problem and expressing its solution(s) in such a way that an information processor– human or machine – can effectively carry out that solution [1]. The educational philosophybehind Computational Thinking is that problems in every discipline can be solved by the tools ofcomputation such as algorithmic thinking, decomposition, abstraction, pattern recognition. Forinstance, one of the pillars of computational thinking is algorithmic thinking
proposal team, amajor reason our bid failed was the lack of a well-trained technology workforce and lack oftechnology education in the local schools [1]. A year earlier Southern Methodist University(SMU) started working with a local Independent School District (ISD) on a statewide grant toincrease the number of teachers in their district who are certified by the state to teach computerscience (CS) at the high school level. As an outcome of our first grant partnership, we developeda proposal to the National Science Foundation CSforAll: RPP program [2]. We met several timesover six months to develop a pilot program that we planned to base the grant upon prior towriting the grant. As a result, this past August our proposal was funded (NSF 2031515
theDepartment of Education.IntroductionThe need to have computer security has been in place for decades, going to back the mainframeand mid-level computers, but then the protection was limited to securing files on a single system.The landscape of computing is changed by the rise of computer networking and the Internet.Computers are now connected by using a wide range of topologies such as the Wide AreaNetwork (WAN), Local Area Network, and Metropolitan Area Network (MAN). The demandfor cybersecurity professionals across the United States is accelerating, according to the newdata published on CyberSeek [1]. Furthermore, the study conducted by Cybersecurity Ventures[2] shows that around 3.5 million cybersecurity worldwide will be unfilled by 2021. The
theories.The SceneThe CourseOur class in “Ethics for the Computing Professional,” a one-credit required course for computerscience majors, is offered at the junior level and most often taken by seniors, and most often fullyenrolled. It aims to bring moral philosophy to the budding computer scientist. The coursesyllabus covers the usual subjects of privacy, security, intellectual property, cyberabuse and othersocial detriments, and professional codes, but also reaches farther into philosophy, to equipstudents with the vocabularly and methods of the humanities. We use Herman Tavani [1] as thenominal textbook. (I designate an older edition so that copies may be purchased cheaply, and alsoprovide extracts, compliant with Fair Use, in Course Reserves at
unfulfilled. Ultimately, we aim to use this conceptual model to compare faculty adaptability indifferent contexts of curricular change. 1. Calls for change in engineering education: Enabling change agentsCalls for change in engineering education has constantly been shaped by “changing times and paradigms”(Felder, 2004, p. 32). The context within which engineering graduates are educated, and are expected tocontribute in the workplace, has always been a dominant factor in frameworks for calls for change(Jamieson & Lohmann, 2009). Characteristics of the context such as the influence of the global economy,the knowledge-based economy, changing demographics, increased integration among engineeringdisciplines and environmental factors are just some
classroom and lab at a single time. During the scheduled class time it wascommon for only 2-3 students to be in the classroom/lab and 1-3 students to be in the Zoomsession.All 17 students were required to attend class together in person on only 3 days during thesemester. On the first day of class a larger classroom with a maximum capacity of 24 wasavailable and scheduled. The instructor covered the typical “first day of class” material anddiscussed the revised mode of instruction. In addition, students were required to complete thefirst two tests in person. The instructor utilized two adjacent classrooms for the tests.Evaluation of AssignmentsAll assignment evaluation was done electronically. In previous semesters students were requiredto print out
about this groupof students. The second is the literature on confidence and its importance in student success. Theliterature on returners in engineering graduate programs is not yet extensive, although it has beengrowing in recent years. Literature on confidence, in contrast, is far more extensive and wide-ranging, with a longer history. Due to the wealth of literature in this area, only a small selectionis specifically cited in this paper.ReturnersRigorous study of returners in engineering graduate programs has only recently begun to bedone, with several studies performed over the past decade. Two of the earlier papers on thisgroup were published in 2011, with Peters & Daly [1] studying the transition of identity that tookplace when
the Industrial EngineeringCurriculum (award #1834465) [1]. The CLICK approach is an integrative curriculum approach.The approach leverages the benefits of immersive technologies, i.e., virtual reality and 3Dsimulation, to enhance student’s motivation and improve learning experiences and outcomes.Virtual systems can be created using these technologies to provide a theme where students canlearn the system principles and concepts across multiple courses in the curriculum. Immersivetechnologies make learning interactive and fun [2]. This approach is implemented in theIndustrial Engineering (IE) curriculum because of the unique focus of this curriculum on systems[3].The CLICK approach aims to address the problems in the current curriculum
lectures, modeling,and case studies. Research has indicated that real-life experiences and other life experiences arecrucial to enable students to learn system thinking principles [1]. Traditional teaching methods ina classroom environment may not provide these experiences. Hands-on discovery activities(HODAs), as a potential substitute for real-life experiences, may provide students an opportunityto enhance CST learning in the classroom [2]. By leading and participating in hands-ondiscovery activities in class, students may experience the CST principles they were exposed to inlectures and case studies. One key principle of this CST course design is that the lectures andstructured hands-on activities should reinforce each other.This paper presents