Pennsylvania State University (Penn State) is a Carnegie Level-1 research university locatedin University Park, PA. The College of Engineering, officially founded in 1894, offersbachelors', masters’, and doctoral degrees in ten departments. The college's average annualenrollment includes approximately 8000 undergraduates and 1600 graduate students. Enrollmentfigures for graduate students do not specify whether they are masters' or Ph.D. hopefuls.[1][2]The Library system at Penn State is one of the largest in North America, with several millionvolumes of books and materials along with several thousand journal subscriptions. TheEngineering Library works as a partner with the College to provide learning services and supportto students, faculty, and
conjecture at this point. Introduction and Background In 2005, the Journal for Engineering Education (JEE) fielded a special issue focused on The art and science of engineering education research which was drawn largely from a report by the National Academies (The Engineer of 2020). The bottom line of the NAE report [1], and the JEE special edition [2] was that change is hard, but that undergraduate engineering programs must have the ability to change to meet societal needs. It is now 2021, sixteen years after The Engineer of 2020 concept introduction. Our professional disciplines have come through a pandemic, and we all have changed in the face of strong, and sometimes mandated
and setting. In that customization, three factors were identified for consideration whenadapting the collaboration framework: the existence of a course structure to support suchcollaboration, the ratio between the students in the two courses, and the ability to schedule regularinteractions between these students.1 IntroductionSoftware project management (SPM) is a key knowledge area in the Software Engineering Bodyof Knowledge [1] and for project managers, in general, in the Software Extension to the ProjectManagement Body of Knowledge [2]. However, teaching key SPM skills such as projectinitiation, scope definition, planning, estimation, measurement, and control is challengingbecause practicing them requires management of non-trivial
Women in EngineeringAbstract: More women than men in the US graduate college, but women constitute only16% of the engineering workforce [1]. Women frequently attribute their lack of persistence inengineering to a chilly academic climate [2]. Researchers have suggested that developing arobust engineering identity could moderate a climate effect and support improved retentionand graduation of female engineers [2]. However, there is little empirical data oninterrelationships among gender, perceived academic climate in engineering programs,engineering identity, and belonging to an engineering community.We drew on social identity theory and extant literature to develop four research questions: 1)Are there any differences between men and women
its adoption to PM.Artificial Intelligence – Basics and Its Applicability to Project Management“AI is typically defined as the ability of a machine to perform cognitive functions we associatewith human minds, such as perceiving, reasoning, learning, and problem-solving. Examples oftechnologies that enable AI to solve business problems are robotics and autonomous vehicles,computer vision, language, virtual agents, and machine learning” [1]. Further, historical data on alarge set of similar projects is the foundation for AI and machine learning [2] AI technology andits associated data analysis can learn from past historical data by recognizing patterns and it canadjust to new inputs for a better output prediction. AI technology’s self-learning
effective and appealing tostudents; however, sustaining student engagement is a challenge.IntroductionMentorship is critical to professional development [1]. The impact of engineering mentorshipprograms on students, such as related to their perceptions and self-efficacy, is nebulous [2];impacts are undoubtedly influenced by confounding factors, including the participants involved,contexts, techniques, and mentoring procedures applied. Educators have implemented a plethoraof engineering student mentorship program structures, ranging from formal to semi-formal andapplying various techniques, such as experiential based workshops [3] and one-on-one mentoring[4]. These diverse mentorship approaches are being applied to and studied for the full age
and supporting both formative and summativeassessments. The fundamental strategy was to migrate previously developed learning materials 8to the OLI platform while developing supporting assessments. The OLI module has two “units”:unit one covers a conventional introduction to the product development process, whereas unit twofocuses on fundamental definitions in systems engineering along with the importance of applyinga systems thinking mindset. Figure 1 shows the student view of the unit that deals with theproduct development process, and Figure 2 shows the unit on systems thinking and systemsengineering. As can be seen in the figures, the learning objectives are displayed along with allmodules associated with each unit. It is important to
a more comprehensive and larger-scale survey research investigating more students.Background and MotivationIn recent years, more liberal arts colleges established and extended their engineering programofferings through a wide variety of engineering majors. Although engineering courses arepractice-and detailed-oriented which is different from the traditional liberal arts curriculum [1],liberal arts colleges believe that integrating the liberal arts education experiences intoengineering education would position future engineers to be more successful at anticipating,defining, and solving problems [2]. First, liberal arts engineering education provides a moresupportive environment through a small class size. Students have the opportunities of
mathematics and science in California and Oklahoma. American c Society for Engineering Education, 2021 A Framework for Examining Engineering Doctoral Student Role IdentityAbstract This paper presents the Role Identities of Doctoral Engineering Doctoral Students(RIDES) framework for the examination of engineering doctoral students’ role identities.Identity of engineering students at the undergraduate level has been widely explored, butcomparably few studies have explored identity at the doctoral level [1]. Identity development isfundamental to becoming part of the community of practice of graduate school and academia(e.g., [2]); thus
and Flexible Model for Structural Engineering Courses: Lessons Learned During the Covid19 Global PandemicAbstractThis work presents the latest results on how to successfully apply a hybrid and flexible model forteaching Engineering Courses, particularly Structural Mechanics courses to students fromArchitecture and Civil Engineering programs during emergency conditions such as those due tothe Covid19 Pandemic. This model has been used for the last few years with tremendous successin the performance of the students and their overall satisfaction as it has been shown in [1]. Forthe pandemic conditions, the synchronous sessions were changed from the classroom on campusto the online classroom with videoconferencing. Some new types of
specifiedcontext of use [1]. The field of usability is known under names like Computer-HumanInteraction (CHI) or Human-Computer Interaction (HCI) [2], and User Experience. Usability isalso an area of knowledge that is interconnected with other concepts like Human FactorsEngineering, Ergonomics, and Design Thinking. While some references use terms like HumanFactors Engineering, Ergonomics, Usability Engineering (UE), or Human-Computer Interactioninterchangeably [3], each of these concepts can be defined independently. Human FactorsEngineering is a discipline that is not only useful for reducing errors and injuries but also aims toenhance and provide evidence-based practice for usability [4]. Design thinking begins with skillsdesigners have learned over
(STEM) at all levels, including the state colleges level, to maintain a broadpipeline of future engineers and computer scientists to ensure a highly advanced technologicalsociety. Computer Science's focus is particularly noteworthy given its dramatic impact on allsegments of society, all industries, the economy, our national security, and the educationalcommunity. The growth in Information Technology (IT) and related computer industry is expectedto increase exponentially over the next decade. Given the fact that the medical and health careindustries will require innovative software packages to manage health care, the exponential growthof 25.6 % in the IT sector is expected from 2018 to 2028[1], [2]-[5]. As a further indicator, theU.S. News and
such as ABET andprofessional societies find capstone and similar end-of-program projects that encourage synthesisof student knowledge to be beneficial. However, research on the varying formats of these end-of-program projects or even intermediary techniques and the effects of that variance on the ultimatebenefit conferred by the project is lacking. As summarized in Table 1, there are several gaps inthe three critical areas focused on in this literature review paper. Future research would benefitfrom a deeper comprehension of what a student gains through group work, as well asunderstanding those students that express frustration with such learning environments.Furthermore, as college programs are undergoing modifications to their curricular
rates from Fall 2013 through Fall 2020 is presented in Figure 1. Note thatthese DFW rates are for the entire university, and not just for the students majoring in ourdepartment. The mathematics course with the lowest DFW rate was Statistics (MATH 2328),with all Calculus classes having a higher rate. The course that typically had the highest rate wasPre-Calculus (MATH 2417). As such, it appears evident that the students with the poorest pre-college mathematical preparation (those who are not calculus-ready when they arrived oncampus), had the greatest challenges successfully completing their mathematics requirements.This situation correlates with the trends reported in the literature (Kisi et al. 2011, Shields andKisi 2011, Orth 2004, Shrestha
their analysis.BackgroundHomework is a crucial part of every student’s education, especially in STEM disciplines. Thestatement that “the one who does the work does the learning,” [1] can be clearly seen in actionby any educator. However, in recent years more and more students are turning to copying andmissing this crucial part of the learning process [2]. The growth of online homework “help”websites has made it easier and easier for students to attempt to shortcut this critical step in theirlearning process. In fact, many students don’t even consider the use of such websites to completetheir homework to be cheating. [3] There have been some attempts with online homeworksystems to use randomized variables and questions to mitigate this problem
and to have the abilityto recognize and act on opportunities [1]. Wielerstein and Byers [1] argue "It is no longersufficient to be technically qualified; to succeed, engineers must be prepared to understand thebusiness context of decisions and contribute to, if not lead, the success of the organizations theyjoin. Key skills now include effectively working on interdisciplinary teams, communicatingideas, thinking critically, understanding business basics, and being comfortable with solvingopen-ended problems. Learning entrepreneurship in the context of an engineering educationprovides a means of learning these skills in an applied way." Logically, teachingentrepreneurship and innovation also depends on competencies for imbuing these skills to
use the Diffusion of Innovation Theory tostudy higher education policies in provincial administrative regions [1], the perspective only focus-es on the mechanisms. Based on the existing research, this research attempts to take the DoubleFirst-rate Initiative as a case, analyse the fundamental pathways, influencing factors and importantmechanisms, providing a reference for the implementation of similar higher education initiativesthroughout the world.2. Theoretical framework2.1 Overview of Diffusion of Innovation Theory and its applicability(1) Overview of theoryIn 1969, Jack L. Walker published a paper on the issue of policy innovation diffusion, which trig-gered the academia to stury policy innovation diffusion issues over past more than
Cognitive Science from the Ecole des Hautes-Etudes en Sciences Sociales (Paris), an M. Phil. in Cognitive Science from Ecole Polytechnique (Paris) and an MA and M. Phil. in Philosophy from La Sorbonne (Paris). American c Society for Engineering Education, 2021 Resilience and Innovation in Response to Covid-19: Learnings from Northeast Academic MakerspacesIntroductionStudies over the last decade have emphasized the need for hands-on, experiential learningand the importance of making in engineering education [1-3]. This emphasis has led tothe blossoming of makerspaces in engineering schools and universities more broadly [3,4]. Academic
. American c Society for Engineering Education, 2021 Short-Term Study Abroad: Engineers Gaining Intercultural CompetencyIntroduction Intercultural knowledge and competency encompass skills and personal characteristicsthat enable a person to interact successfully in a variety of cultural situations [1]. Universityintercultural programs include short-term study abroad, longer term exchange programs, researchexperiences, and service learning, among many others. Engineering students in the United Statesmay choose from a variety of program types [2]–[5], which have increased in number over thepast few decades. Short-term study abroad programs are more accessible to students and havedemonstrated
had a significant impact on students’performance. It was found that the asynchronous lectures did not harm student learningoutcomes.IntroductionThe spread of COVID-19 has dramatically altered higher education in the United States, almostovernight. As of May 12, 2021, there have been over 32 million confirmed cases and 576,814coronavirus deaths in the U.S. alone [1]. Institutions of higher learning, therefore, have beenfaced with the challenge of balancing student safety with the quality of their education. In manycases, colleges and universities have transitioned to online learning to “flatten the curve” ofcoronavirus cases through social distancing [2].To better understand the impact of the COVID pandemic on higher education it is important
not have those previously and practice problems forcomplex topics were created and added to the workbook. This paper summarizes the experiences at twouniversities with offering the intervention in a virtual environment. The intervention at one institution wasoffered as a remote, synchronous course, while the other university offered the course asynchronously.The instructor and students in the remote, synchronous class seemed to be satisfied with the courseoverall, while the students and instructor of the asynchronous course seemed to feel at least some regularcontact between instructor and students over Zoom would have been beneficial.BackgroundThere is very strong correlational evidence linking spatial skills to success in STEM [1], [2], [3
opportunities for students in STEM. Prior to her PhD studies she taught middle school for three years. She has developed several programs for students including a series of math competitions for NYC middle school students and a chemistry card game called Valence.Dr. Martin S. Lawless, The Cooper Union Martin Lawless earned his Ph.D. in Acoustics in 2018 from the Pennsylvania State University where he investigated the brain’s auditory and reward responses to room acoustics. At the Cooper Union, he continues studying sound perception, including 1) the generation of head-related transfer functions with machine-learning techniques, 2) musical therapeutic inventions for motor recovery after stroke, and 3) active noise control
the junior Institution of Engineers for coordinating the obser- vations of the British Astronomical Association and Radio Society of Great Britain of Sputniks 1 and 2. He is author of Engineering Education. Research and Development in Curriculum and Instruction which received an outstanding research publication award from the Division for the Professions of the American Educational Research Association. He is also author of The Assessment of Learning in Engineering Edu- cation: Practice and Policy; The Human Side of Engineering, and Empowering Professional Teaching in Engineering American c Society for Engineering Education, 2021 The Concepts of
engineering students are significantly less likely to seek help for a mentalhealth concern than are college students pursuing other majors. Faculty often become aware ofundergraduate students’ mental health concerns through teaching and advising. The purpose ofthis study was to better understand faculty experiences with and perceptions of undergraduateengineering students’ mental health. A survey was sent to faculty specializing in diverseengineering disciplines at private and public institutions. Of the 106 faculty who responded, 38were non-tenure track, 17 were tenure track, and 47 were tenured. Five respondents wereadministrators. Participants reported a range of experience (> 1 year to over 20 years) andstudent interaction (teaching less than
fields of human-computer interaction, human-human interaction,video content understanding, and interactive dialog systems.1. Related WorkResearchers from different fields have been using social media to gain insight into their subjectdomains, including marketing [1], healthcare [2][3], design thinking [4], cybersecurity [5],athletics [6], and natural disasters [7]. This trend is also present in engineering education. Forexample, in one study [8], researchers used Twitter to trace the participation and conversationsabout a campaign geared towards promoting STEM learning and engagement among the public.In another study [9], researchers used Twitter to understand different topics, themes, and issuesrelated to engineering education and first-year
fits all” answer to a robust requirement at a small school that produced fewer than 60engineers annually. In 2014, a survey from the Association of American Colleges andUniversities (AACU) highlighted several learning outcomes that employers and college studentsdeemed important [1]. In 2015-2016, a review of the institution’s general education outcomesand several faculty surveys revealed that the general education curriculum needed updating. Inthe fall of 2019, the institution began a new General Education program, replacing the CoreCurriculum. The faculty voted for new General Education outcomes to match the AACUlearning outcomes and selected a Strand Model General Education program, now required of allstudents regardless of major.The new
learning was abrupt for many educatorsand administrators across all levels of education. Many schools in the K-12 and higher educationlandscape had a limited time frame to begin transitioning online and to ensure meeting programlearning outcomes [1]. Although there have been several avenues for digital learning for decades,this shift exposed the reality of modern U.S. educational systems: disparities in the resourcesstudents have at home [2] and the lack of instructor preparation for online instruction [3]. Inorder to better the experience of online instruction for both teachers and students, there is a needto understand the characteristics of the transition to online learning and how this adaptationcontinues. Ubiquitous stress due to a new
. Jaksic’s interests include robotics, automation, and nanotechnology engineering education and research. He is a licensed PE in the State of Colorado, a member of ASEE, a senior member of IEEE, and a senior member of SME. American c Society for Engineering Education, 2021 HORIZONTAL PROPULSION USING MODEL ROCKET ENGINES (PART A)AbstractTo provide first year engineering students with hands-on experiences and teach them theapplications of both dynamics and other physics laws, this team project uses wooden derbyvehicles (coupe, truck, and bus) that are propelled horizontally with various grades of model rocketengines. The vehicles are hooked onto and guided by a (1/16
-year automotive collegiatecompetitions concentrated on advanced vehicle technologies, from hydrogen fuel cells to hybrid-electric vehicles. The current four-year competition, the EcoCAR Mobility Challenge, centersaround electrification, connectivity, and active driver assistance with 11 participating universitiesthroughout North America and over 25 industry sponsors. Figure 1 shows the EcoCAR MobilityChallenge’s yearly competition goals and vehicle development process. Figure 1. Overview of the yearly competition goals.In Year 1, students focus on vehicle architecture design, component modeling and selection, anddefining their customer. Year 2 and Year 3 focus on vehicle integration, testing, and refinement;universities
EM — fostering curiosity, connections and thecreation of value. An entrepreneurial mindset will allow engineers entering the workforce tocreate personal, economic, and societal value through a lifetime of meaningful work [1].This goal to teach engineers about EM is focused on transformation of the minds and hearts ofindividuals, an invitation to become co-investigators in a nationwide experiment. Facultydevelopment has become one of the four core strategies in this mission. The others includebuilding thriving communities, working with affiliate organizations, and considering emergentideas that surround higher education. Faculty development aligns with all three of the other corestrategies.One important aspect of the EU faculty development