-worldconfirmation of the theory and concepts from lecture classes. All too often, however,undergraduate laboratory classes fall short of enhanced learning and are instead more notable forstudent dissatisfaction and/or frustration [1], [2], [3]. There are several reasons for this problem.First, organized laboratory classes are often used to meet numerous student outcomes such asthose comprising ABET student outcomes (1) – (7) [4]. Second, organized laboratory classes areoften taught separately from theory classes, leading to a disconnect from pre-requisite coursesand uneven understanding among the student cohort. Third, organized lab classes often involveteamwork, without specific instruction or guidance on how to work effectively, how to divide uptasks
learning pathways of interest. Using the network model,we model the disruption due to COVID-19 related school closures in Spring 2020. Analysis onthe network model enables identification of propagating effects of the closures on later grades andreveals pathways with potential high vulnerability. When combined with school-specific and/orstudent data, this model could provide valuable analytics support to decision makers.1 IntroductionIn the spring of 2020, millions of students abruptly shifted to online instruction, and in somecases, no instruction, as COVID-19 disrupted schools nationwide. But this disruption is notsimply localized to a single semester: consider, for example, the downstream effects on a fifthgrader, who needs to master adding
. IEEE Frontiersin Education Conference (FIE) (pp. 1-5). 2018). A student’s GPA is often used by universities to monitortheir eligibility for financial aid, filter admission to colleges and departments of engineering, anddetermine satisfactory progress in degree attainment. In engineering in particular, a low GPA is often seenas a signal that one is not “cutting it” in the highly competitive, rigorous culture of engineering. (Godfrey,E., & Parker, L. Journal of Engineering Education, 99(1), 5-22, 2010). For many students, that signal cansuggest that they should leave the major.Thus, understanding how engineering students’ GPA functions over time can provide insight intostudents’ academic outcomes. In conjunction with additional behavioral
projects. He received his PhD in Technology Management from Indiana State University with a specialization in Construction Management. He joined academia in 2014. His research focus is on contract administration on heavy civil projects, as well as on construction education. His teaching areas include 1. introduction to the built environment and construction management, 2. construction materials and methods, 3. construction equipment, 4. building construction cost estimating, 5. heavy civil construc- tion cost estimating, 6. project planning, scheduling, and control, 7. temporary structures, and 8. contract changes and claims. American c Society for
. The main gears were printed using a slower and more condensedprinting mode as they would be constantly moving.3D-design sketches, functional block diagrams, project Gantt chart, actual belt and robotic armsystem pictures, and bill of materials are provided. The finished product is now being used asdemonstration purposes in control systems technology classes that provide a better understandingof conveyor belts, a significant part of the manufacturing industries.Problem DefinitionOne of the most predominant design problems across belt, drives are the effects of load-changingin time, the effects of said load change across the conveyor belt, and the requirement ofpurchasing belts that are prefabricated for a specific length and purpose [1]. The
University of Michigan. Her research interests lie in assessing and amending curricula to help students transition from undergraduate to professional practice. American c Society for Engineering Education, 2021 Motivating factors that encourage rural students to pursue engineeringIntroductionThis complete research paper describes a qualitative study conducted at a large midwesternuniversity exploring the motivations rural students cite as reasons for pursuing engineering.According to the United States Department of Education, rural communities account for 32% ofpublic elementary and secondary schools, serving 24% of students in the United States [1].27.1% of rural students
doctorates.Introduction More and more application-oriented leading engineers are urgently needed torespond to scientific and technological revolution and industrial transformation. Thetraditional doctoral education focuses on the cultivation of academic talents, and thereare certain differences between scientific research and the actual work of enterprises.In response, universities in many European countries and the UK, and some universitiesin the United States, have begun to explore doctoral training related to engineeringapplications. The Engineering Doctorate is designed for future leaders and innovatorsfor industry and research, which needs to simultaneously satisfy industries needs anddelivering a doctoral level contribution to knowledge [1]. Compared
a learning environment in STEMeducation [1], but less is known about conducting engineering design challenge activities inhome environments. Although many studies highlight the development of STEM concepts andskills, more research is needed to understand how to support this development through caregiver-child interactions at home. This study aims to (a) investigate caregiver-child interactions thatsupport the development of child(ren)’s STEM conceptualizations and skills in engineeringdesign challenge activities within family pedagogical practices, and (b) examine caregivers’pedagogical expectations within family pedagogy. Guided by Vygotsky’s cultural-historicalview, the authors analyze child(ren)’s development of STEM conceptualizations
the linguistic feature characteristics of multiple writing assignmentscompleted by engineering undergraduates, including entry-level engineering laboratory reportsand writing produced in non-engineering courses. We used Biber’s multidimensional analysis(MDA) method as the analysis tool for the student writing artifacts. MDA is a corpus-analysismethodology that utilizes language processing software to analyze text by parts of speech (e.g.,nouns, verbs, prepositions, etc.). MDA typically identifies six “dimensions” of linguistic featuresthat a text may perform in, and each dimension is rated along a continuum. The dimensions usedin this study include Dimension 1: Informational vs. involved, Dimension 3: Contextdependence, Dimension 4: Overt
fields. In the first two years of college, and particularly under conditions ofuncertainty and material problems precipitated by a pandemic, STEM students face barriers toattainment of educational and career goals. First-year STEM students may not feel a sense of“belonging” in their chosen major or may not have even selected a program of study [1]. Secondyear students face a “critical juncture” as they approach transfer to a 4-year school [2]. At thispoint, many STEM students change majors or leave higher education altogether [3]. Engineeringeducation research points to feelings of isolation as contributing factors to lack of persistence inthe engineering major [4].One way to promote persistence among students who have selected STEM is to assist
program with a trade-off approach for optimizing the TDR; in other words, re-programming the speed rate and pathtermination as motion program variables for an effective RTR. This research work presents an empiricalapproach that analyzing the TDR variables depending on measuring the response features of RTR. Full-factorial design of experimentation has been applied for operating FANUC Robot LR-Mate 200iB andcollecting the data. Results analysis of variables effect validates the applicability of the empiricalapproach.1. IntroductionThe gap between technical capability and practical application of robotics utilization increasedconstantly within last years, especially regarding small and medium-sized enterprises. Otherwise, thereis a recognizable
(ECPMs). There are also six program events each year that focus on professionaldevelopment and exploration of opportunities in the fields. Many CS/M Scholars begin theprogram with little to no experience in computer science. The seminar class in the first quarter,the programming class in the second quarter and program events during the first year constitutewhat we call “early exposure to computer science.”More details about the CS/M Scholars Program, including the recruitment of the Scholars,descriptions of the first-quarter seminars and details of the mentoring program, a listing ofprogram events and how the program design and associated research grew out of a previous S-STEM project at WWU can be found in a previous ASEE article [1].Student
analysis of narratives; this method allowsresearchers to organize storied data into salient narrative threads, themes, and patterns across aparticipant’s experiences. The author looked across five transcribed interviews, collected aftercompleting each quarter, to understand common and salient experiences and relationships amongthe experiences. Reliability and validity were considered using the typology outlined in the qualitymanagement model.Kitatoi’s experiences were organized into four themes that were common across multipleinterviews. Her sense of belonging was often (re)negotiated for the following reasons, 1) whenpositioned at the outskirts of engineering despite the diverse campus environment, 2) wheninstructors reproduced a particular way
and computerengineering classes.1. IntroductionThe COVID-19 pandemic has affected education in different ways. Because of the closure ofuniversities and schools, in-person instructions transitioned to online instruction. Instructors andstudents had to adapt to remote teaching swiftly. Previous studies on distance education haveshown that online teaching requires a different pedagogy and set of skills from that of the in-personclassroom [1], [2]. Educators are faced with new pedagogical issues regarding student interactionsand communications, course content design and delivery, adopting new types of assignments andperformance expectations, and different assessment and evaluation techniques [3]. This new teaching environment urged decisions and
understanding of an OE provides thebasis for operational assessments, including military aspects and the population’s influence. CivilAffairs (CA) forces conduct Civil Affairs Operations (CAO), which includes liaisons withcivilian populations in the OE to address issues like infrastructure that may impact mitigation ofcivil interference and restoration of essential services [1]. CA forces have varying backgroundswhich often do not include technical assessment and analysis of infrastructure.The need for continued learning is inherent in any profession and a common goal of institutionsof higher education. At the United States Military Academy (USMA) at West Point, the StrategicGoal #3 (Develop and Provide Intellectual Capital) [2] states the following
, large-enrollment FYE coursesIntroductionEngineering design principles and processes are foundational concepts across the engineeringdisciplines [1]–[7]. From a professional development perspective, open-ended design projects,which are frequently conducted in team-based settings, offer students a scaffolded apprenticeshipwith opportunities to engage in collaborative planning and work akin to that of the workforce.From a pedagogical perspective, they require students to think critically about a wide range ofengineering concepts and to complete a variety of practical tasks related to learning objectives.Team-based learning through design projects provides students with technical and non-technicalmastery experiences
students (URES) suffer 60% attrition in their freshmencohort leading to only 40% earning a B.S. degree in engineering. Three key reasons are poorteaching and advising; the difficulty of the engineering curriculum; and a lack of “belonging” withinengineering. Each, in some way, erodes a student’s self-efficacy, or confidence in his or her ability toperform [1]. The American Society of Engineering Educators conducted two recent national studieson freshmen engineering cohort retention: Going the Distance and reported the following B.S.degree completion outcomes by ethnicity: Asian Americans-66.5%, Caucasian-59.7% /Hispanic/Latino-44.4% , Native American-38.6%, African American-38.3%, and All Females-61%. [2]The attrition problem is concentrated in
was canceled due to COVID-19 restrictions. There was some attrition that we handled byhaving a waitlist of students who were invited to participate in the program without a stipend. As afew participants dropped out due to time commitments or the difficulty of the program, the waitliststudents were more than happy to take their place.The bootcampWe offered 6-week intensive summer bootcamps; one was held in the classroom during summer2019 and other was conducted virtually in summer 2020. The bootcamp ran Monday to Thursdayfrom 9 AM - 4 PM and half-day on Friday. Lectures were followed by lab work. Students werepaid $2000 for completing the bootcamp.The bootcamp covered the six areas of curricula outlined in [1]: (1) data description and
curriculum design and development targetingprofessionals, undergraduates and community college students interested in advancing theirskills in data science in the context of Industry 4.0 and intelligent manufacturing. The projectteam has accomplished several main tasks towards the goals of the project in Year 1, to bedetailed in this paper.IntroductionNortheastern University (NU), in collaboration with three Manufacturing USA Institutes,proposes to build an Integrative Manufacturing and Production Engineering Educationleveraging Data Science (IMPEL) Program to address the current and projected skills gap inmanufacturing which is anticipated to leave an estimated 2.4 million manufacturing positionsunfilled between 2018 and 2028 [1]. This skill gap is
/cons of the operations will bepresented with the feedback received from the participants.IntroductionMany countries around the world have successfully adopted strict industrial policies for the lastfour decades. For instance, the current industrial policy “Made in China 2025” has the mainobjectives of transforming China to innovation and prioritizing “intelligent systems” [1][2]. As aresult, in the year 2010, the United States lost for the first time in modern history its position asthe world’s largest manufacturer [3][4]. The small gap between the two countries continues torapidly widen due to the accelerated growth in the Chinese manufacturing industry, and its rapidtransformation to research and innovation, particularly in artificial
environment where the educator guides students as they apply concepts andengage creatively in the subject matter" (Talbert, 2017, Flip Learning, 2019).The above definition of flipped learning has been quoted mainly to clear up any misconceptionsabout the modality of flipped learning. At the same webpage (Flip Learning, 2019), the fourpillars (Figures 1-4) of flipped learning are enumerated – flexible environment, learning culture,intentional content, and professional educator. If interested in the flipped classroom, theframework is given so that the reader would keep these pillars central to the course. But they arealso cautioned not to be extreme in the adoption of these tenets. For example, with the authorhaving taught the Numerical Methods course
portable lab equipment that can be assigned to a student is needed. When astudent has access to a portable module with sensors and actuators that can be used with aportable PLC (Programmable Logic Controller) trainer, then they are able to completeautomation labs wherever they need to with a similar experience to a face-to-face lab.PLCs, sensors, and actuators are used to automate industrial processes and equipment.Automation labs should provide the opportunity for students to use lab equipment that hassensors and actuators that interact with each other. Such a sensor/actuator module [1] wasdesigned and prototyped, but not deployed to the lab in quantity due to the closure of campus inthe spring of 2020 due to the COVID-19 pandemic.This paper
fabrication methods. Assessmentof course learning outcomes through laboratory activities during the first semester of PLC trainerusage is presented. The PLC trainer developed has momentary pushbuttons, indicator lamps,potentiometers, a voltmeter, and sufficient digital and analog inputs and outputs for input/outputdevices on the trainer as well as external devices connected to the trainer.IntroductionThe adjustments that universities have had to make to instructional delivery modes since the startof the pandemic in 2020 have impacted laboratory activities significantly. When our universitywent completely online in the spring of 2020, an online PLC simulator, PLC Fiddle [1] was usedas a substitute for hands on PLC trainers. While this was a decent
our university community, the combination of these factors translated todeclining levels of engagement with our student, staff, and faculty members.As a combined result of stressors surrounding COVID-19 and racial injustice, many graduatestudents suffered a decline in their well-being as levels of anxiety, depression, and PTSDsymptoms rose [1]. While research on the impact of extracurricular involvement on graduatestudent well-being is limited, studies of undergraduate students have demonstrated that studentgroup and extracurricular involvement is associated with increased well-being and belonging [2].A few small-scale qualitative studies on graduate students have demonstrated that extracurricularinvolvement can enable graduate students to
this movement meant encouraging faculty on a large scaleto adopt, adapt, and create OER. Peter Reed noted in his 2012 study, “Awareness, Attitudes andParticipation of Teaching Staff towards the Open Content Movement in One University,” thatteaching faculty are open to sharing their work, but “they are not doing so to any large-scaledegree, that is, through specific OER repositories and open licensing.” 1 The challenge ofencouraging faculty to understand and incorporate OER can often derive from their unfamiliaritywith terms and policies related to copyright. 2 3 These concerns are compounded by facultyquestions regarding OER content quality and the peer review process. 3 However, these issues canbe mitigated by informational courses offered by
courseobjectives and had positively impacted their students’ learning. Users indicated that they woulduse the materials again in the future and recommend them to their colleagues.IntroductionThe National Academy of Engineering (NAE) Grand Challenges Scholars Program (GCSP) is aneducational supplement that aims to prepare engineering graduates who possess not onlytechnical skills but also social skills and global awareness in order to tackle the challenges facingsociety in the 21st century [1]. Students in the program achieve the following five competenciesthrough their engagement in individually selected courses and extracurricular experiences: TalentCompetency, Multidisciplinary Competency, Viable Business/Entrepreneurship Competency,Multicultural
studentswho are seeking a degree in higher education. Student success can be directly linked topreparation for classes including the reading of assigned chapters in a textbook, taking lecturenotes, reviewing classroom materials and frequent attendance. A common problem at manyhigher education institutions is that students from impoverished backgrounds have limitedfunding and frequently do not purchase textbooks or other supplemental material due to the needfor the allocation of limited finances to more pressing things. Indiana State University has a highpercentage of students from impoverished backgrounds with 50 percent of the currently enrolledstudents receiving Federal Pell Grants [1]. Additionally 55 percent of the current students at
Michigan and the Tufts University Center for Engineering Education and Outreach. He received his Ph.D. in Aeronau- tics and Astronautics from the Massachusetts Institute of Technology in 2014 and a bachelor’s degree in aerospace engineering from the University of Michigan in 2008. American c Society for Engineering Education, 2021 Open-Ended Modeling Group Projects in Introductory Statics and Dynamics CoursesTraditionally, the types of problems that students see in their introductory statics and dynamicscourses are well-structured textbook problems with a single solution [1]. These types ofquestions are often seen by students as being
-related safety protocols.No major problems were encountered related to compliance with COVID-19 policies orprecautions, and there was no indication that any students, TAs, or instructors contracted anillness as a result of attending the lab. Results of a survey of student perceptions of the labexperience indicated that students felt safe attending lab in person and preferred it to potentialvirtual options.The purposes of this paper are: 1) to provide guidelines and best practices to Unit Operationscourses which have not yet returned to in-person instruction, 2) to record experiences andstrategies from the COVID-19 pandemic to inform future instructors and administrators in theevent of another pandemic or similar event, and 3) to present and
the uncertainty about the ability to conduct future REUprograms onsite amidst a pandemic of unknown duration, it was decided to undertake thedevelopment of a model for online-based REUs and evaluate it using the evaluation tools thathave been applied for some time to onsite programs. This paper presents the REU program atNorth Dakota State University during the summer of 2020 and its assessment. An overview ofthe program, as it ran in 2020, is provided. This is compared to the way the program operated inprior years as an onsite program. Specific changes that were made and their impact on theequivalency of the program to prior years are discussed. The approach used is presented as amodel for potential use by other programs in the future.1