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
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
was one of theinstitutions awarded the NSF S-STEM grant. Our program uses effective strategies suggested inprevious studies to address students’ psychosocial needs to enhance retention and graduation inengineering. The targeted psychosocial variables include self-efficacy and outcome expectations,engineering identity, sense of belonging, and academic integration. Addressing these variables iscritical for developing effective STEM education programs. Many previous studies demonstrated benefits of intensive mentoring with at-risk students[1-3]. Mentoring is an essential catalyst for fostering academic success and is especiallyimportant for women and students who are traditionally underrepresented in STEM fields.Research experience is
-vapor, and c) the first-law balance betweenheat, work and stored energy within closed and open systems. Instructors are faced with thepedagogical challenge of providing this wealth of information in a manner that is not only clear,but also in a form that will stick in the students’ mind. As suggested by McCarthy [1] an activelearning approach such as that afforded by simulations, especially when utilized early in thesemester provides a successful method of meeting this challenge.The property relationships, thermodynamic regions, and first-law energy balance arefoundational for all the subsequent topics in the introductory as well as advanced levels ofthermodynamics. Thus, a clear understanding of their features is both crucial and enabling
strategies that enhance students’cognitive and emotional engagement in their learning during online-only and face-to-faceinstruction.IntroductionUndergraduate students today are experiencing significant challenges as they are forced to adjustto online learning. The competitive, autonomous nature of contemporary engineering educationfurther challenges them to take responsibility for their learning to succeed. Learning to becomean engineer has always been rigorous, but the added stress of learning online has increased theneed for students to develop self-regulation skills that enable them to understand and managevarious facets of their learning such as motivation, organization, and time management [1], [2].Development of self-regulation skills
, use digital media toadvance their academic careers and have been exposed to this technology for all of their lives.This Generation Z cohort, students roughly between the ages of 17-22 have particular learningstyles and it is important as engineering educators to modify our teaching methods to best meettheir needs. Kalkhurst [1] writes that GenZ students are disrupting many ingrained practices ineducation and that colleges and universities are forced to adapt at a rapid pace or becomeirrelevant. GenZ students are accomplished self-learners, can process information at a fast paceand it is important to be brief and visual to capture and hold their attention [2].Seemiller and Grace [3] highlight an important characteristic of GenZ learners: a
components that students must understand.3D printed learning aids have become increasingly common in a wide variety of disciplines andcourses throughout academia. A comprehensive literature review of the use of 3D printers ineducation is [1] which includes a section on literature that describes “using 3D printing toproduce artefacts that aid learning.” Numerous fields such as anatomy, chemistry, dentistry, andphysics have substantial literature describing the benefits of using 3D printed models to promotelearning. A repeated theme in these papers seems to be how much better a physical objectstudents can hold is than a 3D graphic representation. The use of 3D printed models in anatomycourses in particular have been written about.Reference [2
three-credit course to the Bachelor of Science in Mechanical Engineering (BSME)program called “Measurement Systems” in Fall 2018. This course was created to address afaculty-identified curriculum weakness related to student understanding and application ofinstrumentation. It was also intended to improve student preparation for dynamic systems andcontrols. Measurement and instrumentation courses are often included in engineering curriculaeither as a stand-alone course [1, 2] or in conjunction with other topics in the curriculum [3, 4].This course was developed as a stand-alone course to supplement existing lab courses onmechanics, thermal sciences, and mechatronics.Concurrently with the development of the new Measurement Systems course, the LTU
course [1]. During my “check-in”surveys after the emergency move to online teaching due to COVID-19, my students reported alack of student-to-student interactions. This paper examines methods explored and utilized toimprove student-to-student interactions, specifically in the context of the Team-Based Learning(TBL) pedagogy.BackgroundThis paper will describe the transition from in-person to fully online instruction for twoundergraduate mechanical engineering courses, (1) Statics and Introduction to Mechanics ofMaterials and (2) Dynamics. The courses had enrollments of 56 and 36 students, respectively,and both courses were taught in an active learning classroom by the primary instructor withsupport from a graduate teaching assistant and
constantly incorporating new technologies in their work. While this may seemobvious given that engineers are responsible for the creation of a significant portion of thetechnologies used in the world, the practicing professional engineering community is sometimesconservative in their embrace of new technologies. This was the case with finite element analysis[1], [2], but with vastly improved user interfaces and local availability of significant computingpower the use of high-fidelity numerical simulations is seeing significant growth both in practiceand in the classroom.In Froyd, Wankat and Smith’s paper “Five Major Shifts in 100 Years of Engineering Education”[3] they include “Simulations” as part of the “Fifth Major Shift” and note that
depends strongly on theparticular design project selected.Capstone projects are an important component in the engineering curriculum that combinevarious aspects of students’ learning into an integrated team project to address real-world,complex problems. Capstone projects frequently involve multiple elements including design,simulation, fabrication, validation, and cost analysis. This complexity requires system thinkingand can easily become interdisciplinary [1, 2]. Due to reporting requirements, interaction withcustomers and sponsors, and collaboration among different team members, these projects alsoprovide an excellent opportunity for practicing and improving written and oral communicationskills [3]. Capstone projects are considered an
Intro to ME course provided anegative impact on the capstone design program. Faculty indicated a need to further integrateelements of the design process across the curriculum. The results provide ME faculty insightsinto how implementation of an Intro to ME course may affect the capstone design process attheir own institutions.IntroductionDesign is an essential element of engineering practice [1]. Early design experiences forundergraduate engineering students in the United States has been an increasing trend since thelate 1980’s, motivated by a recognition that undergraduate engineering students often began theirexposure to this fundamental concept late in their engineering studies [2]. This exposure todesign processes typically happened in a
, describe our pedagogical framework and infrastructure fordesigning and implementing digital badges within Mechanical Engineering, and highlight keyfindings from learning analytics and student experiential data.I. The Current Landscape of Digital Badges and MicrocredentialsWhat are digital badges?Digital badges exist at the intersection of advances in educational technology, a growing societalinterest in alternatives to formal university credentials, and an increasing awareness of openeducational resources [1]. Digital badges are images typically displaying information such as thebadge name and the issuing organization. They are also clickable and can embed detailedmetadata about the badge including things like learning competencies and individual
, selecting components from industrial product catalogs, calculations to match designrequirements and programming of multi-axis motion controllers. In this paper, a senior-levelAutomation course with laboratory is presented. Lectures present design of automated machinerythrough industrial component selections and through software design for integration. Thelaboratory has several miniaturized, simplified machines representing various industrial sectors.The paper explains the course content, the machinery and the weekly laboratory exercises.Assessment results from multiple offerings of the course are also discussed. This project wasfunded by a grant from the NSF-DUE.1 IntroductionThe academic community has made significant advances in developing
program.” The ME program at Mason is young, having started six years ago and hasalready gone through a successful accreditation evaluation by a visiting ABET evaluation team.The AY 2019-20, i.e., the class of 2020 at Mason represents the fourth graduating class for thisprogram. In addition to meeting the curriculum requirements, the capstone courses are requiredto meet the ABET [1] EAC Criterion 5(d) in providing a culminating design experience. Thecapstone program is managed by the first author, a designated faculty member known as theDirector of Senior Projects (DSP) and all the student projects are sponsored by industry orgovernment. After working in the industry for 30 years, this was the first year in academia forthe DSP and this sudden
spring 2020semester.The online instruction continued at UTSA in summer 2020 and fall 2020, as well as spring 2021.However, the university modified the policies for delivering online instruction and the associatedteaching modalities. The greatest challenge for the faculty is maintaining academic integrity. Thispaper describes the approaches adopted for delivery of live online lectures, and the tools andmethods used for conducting exams. It provides a summary of the lessons learned and themodifications made to improve online instruction.Tools for Online InstructionsPrior to delivering courses online, most instructors used Blackboard (Bb) Learning ManagementSystem [1] to provide course documents and supplementary materials to students. Typically
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
?Cognitive Load TheoryCognitive Load Theory (CLT) characterizes learning as assimilation of knowledge into one’slong-term memory. However, it is our short-term (working) memory that first processesinformation. If the cognitive load (or mental effort) associated with a task exceeds short-termprocessing capacity, then learning cannot occur [1, 2]. Three sources of cognitive load canimpact learners [1-4]. Intrinsic cognitive load is the effort required to learn a specific topic. Forexample, the mental effort required to learn in an introductory engineering course may be lowerthan that required to learn in an engineering science or design-based course. Extraneouscognitive load is experienced based on inappropriate methods or excess information that
curriculum rather than treating it as an add-on.Evidence of successfully achieving student outcomes is measured with student surveys andquestionnaires.BackgroundOne of the key skills an engineer must develop is the ability to communicate. They mustcommunicate to their employer, their team, their customers, and a range of other audiences.They must communicate clearly in both technical (e.g. reports) and professional (e.g. emails)areas. While most engineering schools offer excellent technical communication curriculums,many schools presume that education in professional communication skills are handled by theEnglish department or developed naturally.Professional communication development should be a central component in our engineeringprograms [1
.” [1] Design has also been identified as a curricular pillar for modern engineeringprograms in recent reports such as in the “MIT Engineering Department Initiative on NewEngineering Education Transformation Report”.[2]A recently created Mechanical Engineering program has emphasized the engineering designprocess in its curriculum. Currently, students are introduced to the design process in their first-year engineering course. This course challenges students to learn and apply the design process toa semester-long design project. Design is also reinforced in several courses during the students’sophomore and junior years with emphasis on different aspects of the design process. Forexample, in a course on Machine Design, students are given a design
customer focus and economic decision making [1,2]. Adding learningobjectives to an already full course creates challenges, however. Recognizing that studentscannot learn every manufacturing process in the same detail, it becomes necessary to stimulatetheir lifelong learning skills, and that becomes another possible learning objective. A newpolymer processes module was developed that attempts to combine the following studentlearning objectives: 1. Show curiosity about polymer processes 2. Consider customers in design of a polymer product 3. Make decisions based on economic analysis 4. Gain knowledge about polymer processes 5. Increase motivation for continued learning about polymer processesThe new polymer processing module was
better than the quality of the textbooks in their othercourses. Overall, students reported using the textbook in this course more frequently thantextbooks in a typical course.IntroductionHigher education costs have been increasing more rapidly than inflation over the last fewdecades. From 2002 to 2012, tuition, fees, and textbook prices increased at a rate of 3 times therate of inflation [1]. These increasing costs and a complex financial aid system contribute tostudents taking longer to earn a degree or to leave school without a degree [2]. One way todecrease textbook cost is to use open educational resources (OER), which are licensed in a waythat allow everyone to engage in the “5R activities”: retain, reuse, revise, remix and redistribute[3
instructional problem. That’s why this study provides a holistic pictureand approach to the problem.The study performed by Wiebe et al. [1] focused on the development of an online and face-to-face introductory engineering graphics course that presented analysis of student’s usage of onlineresources to augment the instructional support received in class. The study fell short of comingup with a design of a common course structure for engineering and STEM relatedcourses. Similarly, the study performed by He et al. [2] focused on investigating the flexiblehybrid format. The study was performed on a fundamental electrical engineering course. Thisstudy explored other factors such as class attendance impact as well as the study time spent andstudent
this time of global disruption.IntroductionSociety has faced many threats, but none is more significant and complex than the currentpandemic due to the novel coronavirus. Among the many economic and social impacts of thispandemic, the impact on education is the most critical as it is the fundamental base to prepare thecurrent generation for the unknown future. COVID-19 has become one of the most significantchallenges that the education system has faced before due to the need to transition teaching to aremote environment [1]. At the university level, institutions across the nation closed their doorsto students, and some even stopped their research. For example, Boise State University [2]moved all its courses online and put research on hold to
Behrend hasidentified the Statics course as one of the major factors for delayed graduation in that major. As aprerequisite for other required courses, a setback in that class can severely limit the amount ofschedulable engineering courses. A student must be able to pass Statics by the end of theirfourth semester in order to graduate from the ME program within four years.In addition to retention issues caused by current students, the Behrend School of Engineering hasseen a drop in enrollment over the past few years. Although some may be attributed to morestudents opting to complete their degree at the University Park campus, the overall forecast forPennsylvania is a steep enrollment decline through 2026 due to declining birthrates [1]. In
their third year of undergraduatestudy. During these introductory courses, students report the study of fluid mechanics as abstract,relying on difficult mathematical concepts, and presenting only uninteresting problems that lackconnection to real-world engineering challenges and applications [1]. Notably, researchers havereported that students’ experiences in introductory fluid mechanics courses relate to a negativeperspective shift in their perceptions toward the field [2]. Taken together, these observationssuggest that there is a need to involve students in fluid mechanics activities earlier, and withauthentic and interesting curricula for the purpose of garnering interest and intuition in the topicof fluid mechanics. Flow
requiresthe material covered up to a point in the course. A project phase is assigned once a topic iscovered in the lecture and reinforced through homework and quizzes.IntroductionEngineering design, defined by ABET [1], “is a process of devising a system, component, orprocess to meet desired needs and specifications within constraints. It is an iterative, creativedecision-making process in which the basic sciences, mathematics, and engineering sciences areapplied to convert resources into solutions. Engineering design involves identifyingopportunities, developing requirements, performing analysis and synthesis, generating multiplesolutions, evaluating solutions against requirements, considering risks, and making trade-offs toobtain a high-quality
for remote instruction that supports student agencyAbstractUnder the new ABET accreditation framework, students are expected to demonstrate “an abilityto develop and conduct appropriate experimentation, analyze and interpret data, and useengineering judgment to draw conclusions” [1]. Traditional, recipe-based labs provide fewopportunities for students to engage in realistic experimental design, and recent research has castdoubt on their pedagogical benefit [2]. At the same time, the COVID-19 pandemic has forcedinstitutions to move to remote learning.To address these challenges we developed a series of online labs for an upper-division mechanicsof materials course. The first three labs consist of video demonstrations of
solve complex engineering problems. [1], [2] However, these goals haveevolved from practical-focused to more theory-oriented throughout the decades. Maintaining andupdating instructional labs requires high equipment, space, and human resources cost. [2] Thesereasons lead to traditional engineering experiments often became procedure-orientated andfocused on reinforcing a fundamental principle in a narrow discipline. [3], [4] Holmes et al.demonstrated that labs designed to reinforce concepts show no added value in enhancing students'understanding of fundamental physics material. [5] They compared exam performance betweenstudents who did and did not enroll in a closely-coupled laboratory course. Their results show noimprovement or even worse
typicalclasses, learning activities from levels 1-5 take place before students are asked to tackle level 6 learningactivity. This forms a natural progression in learning. When it comes to programming, this naturalprogression is broken for the sake of accelerated effort to get the students familiar with the field as wellas programming, simultaneously. This approach, while noble in intention, can be compared to trying torun without the ability to walk.In this paper the conventional material to teaching programming to freshman MEs is replaced withnewly developed material which has been designed so that students know and understand everyproblem assigned before they tackle the task of writing code to solve the problem. The problems arechosen in such a way