Michigan Technological University. c American Society for Engineering Education, 2018 A Study of Augmented Reality for the Development of Spatial Reasoning AbilityAbstractSpatial ability has been reported to be an important predictor for student success in STEM fields[1]. Accordingly, various studies have looked at multiple strategies to help students developthese skills [2].This study tested the use of augmented reality (AR) on smartphones for developing spatialreasoning in the context of a spatial reasoning skills course. The mobile AR app gave studentsthe ability to view digital three-dimensional objects by pointing their phones at a printed marker.They could either move their
experience resulting ina positive impact on the teachers’ understanding of the meaning and scope of engineering, animprovement in their confidence to try new concepts in their classrooms, and an incorporation ofengineering into their overall course curriculum. We anticipate our further research willinvestigate which factors of the summer camp experiences are most beneficial to teachers’professional learning and to confirm teachers’ reports of engineering adoption and expertise intheir classrooms.IntroductionFew engineering summer camp programs exist that rival the scale (1,700 students statewide peryear) and scope (students from kindergarten through twelfth grade) of The Engineering Place’s(TEP) summer camps at North Carolina State University [1] [2
in an Engineering ClassroomIntroductionThis research paper describes a study that examines a testing effect intervention deployed in anengineering classroom setting. The testing effect is based on the premise that learning isimproved when students engage with newly acquired information by challenging themselves toanswer questions about the content instead of using other means of interacting with the content,such as rereading a text. The testing effect has been established in laboratory research studies[1]. To translate this finding into educational practice, classroom research studies [2]-[6] aim todefine the conditions for which the testing effect remains robust in authentic classroom settings.In the classroom domain, a testing effect
completing all thirty problems. As was mentioned previously, each extracredit point (including the bonus points just mentioned) was added to students’ exam pool. Witha maximum of 35 bonus points attainable this amounted, considering the weighting of exams tothe overall course grade, to a maximum of 5.25% for both classes.The end of the challenge period roughly corresponded to the end of the semester at which pointstudents were asked to complete a voluntary survey to gauge their level of participation in thechallenge and whether or not they felt they had benefitted from it. In both courses, students wereasked the same survey questions. Some of the questions surveyed the students about theirvoluntary participation in the challenge asking them (1) why
Arkansas Tech University. The collecteddata is analyzed with Statistical Package for the Social Sciences (SPSS). The data analysis involvescomputation of correlations and reliability coefficients, t-tests and analysis of variance (ANOVA).IntroductionDesigning objects and systems to meet the demands of society is one of the primary tasks ofengineers. In light of technological developments and emerging fields of study, mathematicalmodeling is increasingly being used as a primary form of the design [1]. The engineers areexpected to apply, adapt and create mathematical models as part of engineering design process.They are also expected to work in multi-disciplinary teams, communicate effectively with diverseaudiences and engage in system design
theconcepts and eventually to a disconnect from the course material.The TIED UP framework aims to address this concern through careful planning in creating the coursecontent. This follows nine protocols while developing course materials. These protocols are: (1)connecting the new concept to the necessary pre-requisite materials, (2) creation of a neural network, (3)integrating an active learning element, (4) repeating the use of neurons, (5) making use of the zone ofproximal development (ZPD), (6) Adding an emotional component to the course content, (7) generatingpatterns of meaning, (8) providing an element of choice, and (9) generation of cognitive maps. A detaileddescription of these protocols is available elsewhere25. This paper focuses on how
active MSE Clubmembers. The present work describes the structure and activities of the pre-college program, andpresents the model for the annual club meeting and the summer program with correspondingassessment results.IntroductionThe Nanotechnology Center at the University of Puerto Rico-Mayagüez Campus (UPRM) wascreated to: (1) advance the state of knowledge in engineered nanomaterials, while achievingnational competitiveness; (2) prepare students for successful insertion into the futureNanotechnology workforce; and (3) increase the number of minority students entering andreceiving engineering degrees related to materials science and nanotechnology [1]. With regardsto the third objective, since 2014 the Center has impacted with Science
. 2Course ContentThis 2-week summer course emphasizes design of products based on 3D modeling and FiniteElement Analysis. High-level 3D solid modeling is taught using CATIA, which is one of themost widely used CAD software in the automobile and aerospace industries. To design morestructurally safe, cost-effective, and easily manufacturable products, Finite Element Analysisusing ABAQUS or ANSYS is taught along with brief lectures on the theory of Finite ElementMethod.The objective of the course is as follows.1. Understanding the basic steps to feature-based and solid modeling.2. Constructing 3D models and assembly structures with CATIA3. Generating 3D models for finite element analysis with CATIA.4. Making complicated 3D models made up of multi
in all aspects of discovery and design. The course interactively involves thelearner in directing and defining the material under discourse. The paper presents the fine pointsof pedagogical approach that were implemented in successful completion of this course.1. IntroductionPlastic bottles find common use in a wide range of applications in our daily lives. As a resultproduction and use of plastic bottles has increased remarkably over the years. The high demandof plastic bottles, especially in the water and soft drink industry, has brought with it severeenvironmental problems due to careless disposal of these bottles [1]. Statistical data reveals thatyearly people add up to 8-9 million tons of plastic waste to our environment, which includes
andexamine all relevant existing knowledge of the effects of undergraduate work experiences on keyfactors in student retention. This method allows for a holistic perspective by sourcinginformation from multiple sources and primary studies. Inclusion criteria are defined as follows:(1) examines participants of an undergraduate engineering program who are employed full-timebefore obtaining their degree; (2) presents empirical research or evaluates results of affectivestudent outcomes; (3) disaggregates data by gender; (4) published as a report, article, conferencepaper, or dissertation in English since 1990. The search yielded 13 results.Examining these results provides insight into students’ experiences. Most studies examinedsome measure of interest
Education, 2018 A systematic literature review of analysis of success of undergraduate engineering women students in the USIntroduction Over the past three decades, women in the United States (US) have outpaced men inenrollment and degree obtainment in higher education1, but not in engineering education2,3.Figure 1 provides the percentage engineering bachelor's degrees awarded to female students ofall engineering bachelor's degrees awarded in the US from 2006 to 2014. While the earlierdownward trend is reversed, the significant underrepresentation of women in engineeringremains. The underrepresentation of women creates a lack of diversity in engineeringworkforce, which hampers development of innovative and
(US) have outpaced men inhigher education enrollment and degree obtainment 1. However, their representation in STEM(Science, Technology, Engineering, and Mathematics) fields, and especially in the engineeringfield, has significant scope for improvement 2 3. Figure 1 provides the percentage engineeringbachelor's degrees awarded to female students of all engineering bachelor's degrees in the USfrom 2006 to 2014. While the earlier downward trend is reversed, the significantunderrepresentation of women in engineering remains. Percentage engineering bachelor's degrees awarded to female students from the US engineering institutions 20.5 20 19.5 19 18.5
faceincreasingly complex endogenous and exogenous challenges affecting program accountabilitythat include technological changes, financial stability, and demographic shifts in studentpopulations. Entirely related is Buhrman’s discussion [1] on accountability that includesdocumenting formative and summative assessment techniques to evaluate instruction.Elizandro et. al. developed a vertically integrated approach to stakeholder engagement inregional university accountability [2] that originates from this proposed implementationstrategy for ABET accredited programs. However, the concept is easily extendable to allscience, technology, engineering, and mathematics (STEM) programs [3]. STEM programaccountability is critical because of the regional university
organizational platform and analytical toolsto administer institutional accountability. The approach originates from the quality movementproposed in the 1990’s by W. Edwards Deming for reinventing government as a customer-drivenservice and an adaptation of the Federal Government’s Office of Management and Budget,Congressional Budget Office, and Government Accounting Office. Advantages of the proposedenvironment are an increased emphasis on institutional accountability and quantifying institutionalrisk.I. BackgroundRegional institutions face increasingly complex challenges affecting accountability that includetechnological changes, political uncertainties, financial stability, demographic shifts in studentpopulations, and cultural issues [1]. Dynamic
. Guzey is an assistant professor of science education at Purdue University. Her research and teaching focus on integrated STEM Education. c American Society for Engineering Education, 2018 A Teacher’s Use of Engineering Language in an Engineering Design-Based STEM Integration Unit (Fundamental)IntroductionEngineering practices and concepts are increasingly expected to be taught in pre-collegeclassrooms, as is evident in state [1] and national [2] science standards. One of these practices isthe ability to communicate engineering effectively, which includes understanding and usingengineering design language. A Framework for K-12 Science Education, the document uponwhich the national science
expectations ofcollege level classes and specifically introductory mathematics courses. As a result, withoutappropriate support, most DHH students fail to succeed in introductory mathematics courses intheir first year.For this group of underprepared students, a transitional community and transitional engineeringcourse has been shown to significantly improve their academic success. This paper describes 1)how the establishment of a community of peers with an appropriate academic support structureimproves graduation persistence, 2) how a transition engineering program with an appropriatesupport structure improves success in succeeding in engineering and 3) resources available forinstructors who have DHH students in the classroom.IntroductionPhysical
incorporate the newest technologies in theclassroom either as new course modules or as entirely new courses. Textbooks and laboratoryguides for these courses either don’t exist yet or are out-of-date due to fast-paced changes intechnology, low textbook volumes, and the significant expertise required to write them.The VR course at Colorado State University - Pueblo was designed to introduce graduate studentsto VR concepts through lectures and practical exercises culminating in a mechatronics-related VRproject. However, the developers of this VR course had to overcome a number of challenges. TheSherman and Craig [1] textbook chosen for the course is technologically outdated (published in2003), but is well organized and provides good explanations of
within engineering courses, labs, and programs. The analysis focuses on facultyawardees and their motivations linked to this opportunity. An assessment is presented looking atthe types of projects proposed, how EM was incorporated, when the idea was first conceived,how many times an individual faculty member applied, motivation to apply, and the role offunding in the actual implementation of the project.IntroductionChanging engineering faculty practices in classrooms, labs and programs is challenging and anongoing undertaking within engineering units [1-2]. A major reason for the challenge is thereluctance of faculty to change if what they are doing is familiar and seems to be “working.”Difficulties associated with change are faculty’s readiness
are widely offered at U.S. universities and colleges. Theircharacteristics vary in areas such as content [1], [7], [10], instruction, length of course [2] andtarget student population [5], [8], [11]. For example, based on their content, first-year seminarsare classified into four general categories. Academic seminars focus on the development of skillssuch as critical thinking and written and oral communication. Basic study skills seminars focusprimarily on the development of study skills, grammar, and note taking. Discipline-specificseminars introduce students to specific majors and their related curricular demands. Extendedorientation seminars emphasize adjustment to college and include an introduction to institutionalpolicies, procedures
activities. The student performance is assessed directly from the student teams’ datasubmissions and lab/design report grades, and indirectly through learning outcome surveys.Student teamwork performance is measured by a public peer-evaluation rating scheme, whichalso feeds back to the team selection process. This paper presents the activities, the instructionalmethods, assessment data for the pilot implementations, and a comparison of the studentperformance from the prior years.IntroductionThis course is the third of eight core engineering design courses that span the undergraduateeducational career, matching a model that has shown effective in developing a systems levelthinking. [1] This third-semester engineering course provides a series of
industry. Many universities across the countryhave implemented active learning classes because there is ample evidence that they stimulatelong-term material retention, critical thinking, and communication skills [1-3]. Unfortunately,these positive attributes may also mask a hidden problem. Past research has shown that certainaspects of team dynamics, particularly student roles on teams and peer interactions withteammates, can leave women unsure of their engineering abilities [4-8]. These findings areconcerning not only for the retention of women in engineering, but also for the success of activelearning programs as a whole. The mission of active learning is to prepare students for workingwith diverse groups of people in a respectful, professional
program because in this framework students are led to view the coursecontents as unconnected pieces. Thus, students lack the understanding of how theseunconnected course materials build on each other to form the core knowledge expected of acompetent electrical engineer. This lack of understanding manifests itself in low studentmotivation, interest, and knowledge regarding the discipline. Furthermore, it results in studentsperceiving a lack of value and career opportunities relative to the amount of effort required togo through the program [1]-[4]. As a result, attrition rates in engineering departments havebeen higher than expected. For example, the number of American students earning bachelor’sdegrees increased by 16% over the past 10 years
processing focuses on how learners encode information, attend toenvironmental events, store new knowledge in memory, and retrieve as required (Schunk,1996).Information Processing Theory examines how new information that travels to the long-termMemory Store does so by connecting and relating to knowledge already stored in the short-termmemory store. Richard Atkinson and Richard Shiffrin (1968) proposed that the Information ProcessingSystem is also referenced as the “two-store (dual-memory) system” (Hargis,1998) establishedthat there were structural features of the memory system and these components are broken downinto three sections: 1. The Sensory Register 2. The Short Term Store 3. The Long Term Store Incoming sensory
for posterity and toencourage engagement within other academic institutions and professional societies. Some of ourexamples and strategies can be scaled and adapted to address institutional or regional challengesor to increase awareness and engagement in other national societies. Outcomes seen throughinitiatives have resulted in increased connections with previously disenfranchised members tothe ASEE community, engagement across divisions, and expanded programming in support ofdiversity, equity, and inclusion practices.1. Importance of Diversity, Equity, and InclusionEngineers have a significant impact on society. Their actions shape future technology,infrastructure, and innovation. Improving workforce diversity has been shown to
torevolutionize engineering education to prepare next generation workforce capable of addressingincreasingly complex and “wicked” problems facing humanity today [1]-[3]. Rittel and Webberoriginally defined “wicked problems” as complex, open-ended, and ill-structured challenges withsocietal, economic, cultural, and political implications [4]. These are problems that cannot besolved using a habitual in engineering technical-rational approach [5] that is based on theory andbest empirical evidence, or through the use of routine expertise that relies on extensive domain-specific knowledge and experience. Rather, these are problems that must be addressed throughadaptive expertise, defined as the ability to apply prior knowledge to new ill-defined
both industry and collegiate levels.Defined for this paper as individual qualities divergent from historical characteristics (or evenstereotypes) of engineers, diversity, at times, seems to be at odds with the culture of engineeringitself. Lack of diversity in engineering manifests in a decreased retention rate ofunderrepresented minorities and women pursuing engineering degrees and engineering careers, aculture of homogeneity in engineering education and professional practice, and ensuinglimitations to engineering design and product development. A more diverse engineeringenterprise, by contrast, increases inclusivity and can provide a competitive advantage in industry[1].One potential solution to this problem is the integration of diversity
eventpresent very good opportunities to gain great experience to learn and exercise such kind ofterminologies and practices.In this paper, authors present the structure of the studios and evaluation results showing the ABETstudent outcome attainment, and the results drawn.3. AM StudiosIn each project cohort, two studio based hands-on workshops are organized. Figure 1 presents thesample day 1 list of activities held in the Knoxville studio in May 2017. The main objective of theworkshops is to deliver the currently developed curricular modules and activities to workshopattendees who are coming from several high schools, community colleges and four-yearuniversities. Attendees also set up their own printer and run a project as in teams of about 3-4members
certificate program course list is included as Figure 1. Figure 1: Course Overview of the Mechatronics CertificateThe associate degree program is a two-year degree comprised of 60 contact hours. Keeping withthe tenets of the stackable credentials model, completers of the Mechatronics certificate are ableto enter the Mechatronics and Robotics Systems associate degree as sophomores, with all coursesfrom the certificate counting toward the associate degree. In order to advance the skill level ofcertificate completers, as well as to begin preparing students for their possible transfer toMichigan Tech, associate degree students are introduced to several courses in robotics and arerequired to take an assortment
function on multidisciplinary teams (e) an ability to identify, formulate, and solve engineering problems(f) an understanding of professional and ethical responsibility(g) an ability to communicate effectively(h) the broad education necessary to understand the impact of engineering solutions in aglobal, economic, environmental, and societal context(i) a recognition of the need for, and an ability to engage in life-long learning(j) a knowledge of contemporary issues(k) an ability to use the techniques, skills, and modern engineering tools necessary forengineering practice.The current Criterion 3 (a)-(k) student outcomes have been revised into a new Criterion 3(1)-(7) set of student outcomes1 shown below. The history of these changes and
skills that are current with today’s industry trends.The main objective is to provide students with strong foundation in composite manufacturing,computer-aided manufacturing & 3D printing, Computer Numerical Control manufacturing, andUAV construction and application. A concurrent program objective is to provide students withthe knowledge, experience and ability to evaluate these approaches for their use in applicablesituations.The development and implementation of the Advanced Manufacturing program, including theprogram’s evaluation survey by the manufacturing industry, will be discussed in detail at theASEE Annual Conference.1. IntroductionThe new Advanced Manufacturing program will provide an additional concentration to theexisting