program empowers the students in the early stage of their learning process. This paper presents a MATLAB phasor toolbox for analyz- ing ac sinusoidal circuits in the Electrical and Computer Engineering Technology program. The toolbox has functions for conversion among complex, polar and phasor forms. It includes func- tions for adding, subtraction, multiplication and division of phasors, plotting phasors on the complex plane and in the time domain and many useful analysis.1. INTRODUCTION DC and AC circuit analysis is the beginning and the fundamental course in the Engineer- ing/Technology programs. In this or similar courses, students learn to analyze electrical circuits and networks by using basic electrical engineering laws like the
develop educational materials to help K-12 students learn about the brain. c American Society for Engineering Education, 2018 “Helped me feel relevant again in the classroom”: Longitudinal Evaluation of a Research Experience for Teachers Program in Neural Engineering (Evaluation)Abstract The Research Experience for Teachers (RET) program, supported by the NationalScience Foundation, engages pre-college teachers in authentic research experiences inuniversity-based laboratories across the country. Some RET program sites engage scienceteachers in engineering research. With A Framework for K-12 Science and EngineeringEducation [1] and the Next Generation Science
that help emerging scholars become capable, critical, andgenerous readers of published disciplinary scholarship. Specifically, we note the potentialimportance of considering the synergy between individual and group contributions, the balancebetween seriousness and lightheartedness, and the need for both opportunities to learn andopportunities to be aware of learning.IntroductionReading published scholarly work is a central activity in academic life. Further, readingpublished scholarly work is a challenge [1], [2], [3]. Such challenges are further exacerbated infields characterized by flux in what is acceptable methodologically, epistemologically, anddiscursively [4], [5]. Such flux is common in interdisciplinary contexts. While approaches
gaps by exploring the ‘critical’entrepreneurship experiences of engineering students at ASU with a well-developedentrepreneurship ecosystem. The purpose of this study is to paint a picture of the types ofimportant student experiences that are catalyzed from the creation of institutionalentrepreneurship programs and the impacts these experiences have on a student including ontheir attitudes, behaviors, and career goals. In doing so, it also seeks to provide rich data on whatit means to develop an entrepreneurial mindset and the implications of it. The research questionsare thus twofold:Research Question 1: What are the types of critical entrepreneurship experiences engineeringstudents have?Research Question 2: What was the impact of these
for implementing finance. These findings show that presence ofrole model has different influence on ESE associated with different entrepreneurship-relatedtasks and this influence further varies across gender. Detailed results of analysis are presented inthe paper and implications for entrepreneurship education are discussed.Introduction and Literature ReviewEntrepreneurship education has evolved from traditional business school model of teachingbusiness content to more experiential methods aiming to develop a wide array of professionalskills (e.g. opportunity identification, creativity and innovativeness) in undergraduate students[1]. Particularly in engineering, this experiential approach has been widely adopted byuniversities through
, communitymembers, and students, or some or none of them. Similarly, the means can be all, none, or someof the tools, materials, technologies, and skills. The activities can be defined by the curriculum orthe pedagogy, and reflective practice can be one such activity. Figure 1 is a representation of theframework.Fig. 1 Representation of the people, means, and activities framework for educationalMakerspaces (Authors, 2018)Critical ReflectionsGuided by the conceptual framework, in this section we discuss critical reflections from ourexperiences to suggest practices for teaching in educational Makerspaces. However, beforesharing our narratives the following is an explanation of the different contexts in which we havepracticed educational Making activities
and learning of engineering.IntroductionAmong racial/ethnic minorities in the U.S., Latinx are particularly underrepresented inengineering. While the Latinx population is the fastest growing major racial/ethnic group in theU.S [1, 2] and Latinx workers make up 15% of the general workforce, they compromise only 7%of the STEM workforce [3]. Although different scholars have offered several reasons behindwhy Latinx students do not pursue STEM careers–particularly engineering–many scholars haveargued that one particularly powerful reason is that the cultures of students do not fit the“cultures of engineering” [4]. For instance, the National Academy of Engineering and NationalResearch Council argued that engineering “curricular materials do not
solving (aka. ENGR 1) andsecond semester programming (aka. ENGR 2) courses. Each course was divided into learningmodules that build off the knowledge and skills developed in prior modules. For each module,students were instructed to PREP: Preview the material; get Ready for class; Expand theirknowledge; and then Prove it by completing the homework. Prior to each exam, students wereasked "ARE you ready?" and encouraged to answer this question by Assessing their performanceon each module by analyzing mistakes made on assignments and asking questions of theinstructor for further clarification; Reviewing any topics not mastered; then taking the Exam.This work will discuss the (PREP)ARE model in detail, giving examples of activities for eachstage to
thecampaign among the public. From a content perspective, the tweets can be categorized as eventpromotion, showcasing employees of engineering companies, or encouraging and inspiring public(especially women and children) towards engineering. With the growing popularity of socialmedia, community engagement efforts need to strategically leverage hashtags and other mediaelements for a broader impact.Keywords: Big data analytics, Content analysis, Social Network Analysis, Twitter, Social media,National Engineers Week, STEM1. IntroductionStudies indicate that the public has a limited understanding of engineering [1], [2]. Engaging thepublic through outreach efforts is critical to improve engineering and technology literacy so thatthe public can better
interdisciplinary techniquesto enhance the students’ understanding of ChE concepts.Module 1: 3D-Printed Amino Acid Building Blocks to Teach Protein StructureThis first module uses 3D-printed alpha carbon atoms (C) and peptide bond groups (CONH) toshow students how amino acids assemble into peptides and form complex structures simply byrotating the bonds around the alpha carbons. Students can use the models to prepare their ownRamachandran plots or build secondary structures (e.g., alpha helices and beta sheets). No draftingor coding experience is required for this module, but a 3D printer is needed to print the parts.Module 2: 3D-Printed Plate & Frame Heat ExchangersThis module allows students to design, build, and test their own plate & frame
developed for student training that includes: 1) Design ofpiezoelectric nanocomposites; 2) 3-D model design of pressure sensor devices; 3) Using 3-Dprinters for 4-D printing, and involved post-processing techniques by which students canexperience emerging manufacturing technologies, and; 4) Testing for piezoelectric properties.Introduction & Background In 2013, Skylar Tibbits from Massachusetts Institute of Technology introduced Four-dimensional (4D) printing where a component is created by Three-dimensional (3D) printing buta later time transforms into another shape or configuration [1]. Typically multi-compositesmaterials (i.e. shape memory polymers) are used to offer different characteristics (functionalities)and performances to 3D
traditional grading schemes to effectively assess student competency andachievement has been called into question by Sadler [1], among others. Guskey notes five keyobstacles to grading reform. He notes that grading has long been viewed as a means ofdifferentiation between students rather than a tool by which to assess a student’s competency andcommunicate that assessment to relevant stakeholders. [2] Recently, however, educationalresearchers and practitioners have begun to question the efficacy of such a perspective.Standards-, criteria-, or objectives-based course design has emerged as a possible path forwardfor the grading reform efforts. The central premise of such systems is the alignment of courseassessments with clearly delineated course
tether to winch itself up the wall. The mind maps werefound to be effective in assisting the development of concepts for wall-climbing capability andthe resulting two prototypes showed definitive feasibility of the two wall-climbing concepts.1 INTRODUCTIONThe capability for a robotic system to climb walls has many advantages. In addition to providingenhanced ability to gather intelligence, surveillance and reconnaissance (ISR) information, manytimes there is a need for the robotic system to move from level to level inside a structure.Robotic systems that fly can, of course, accomplish this “wall-climbing” capability. However,flying systems have at least two significant drawbacks. First, they most often consume far morepower than a
findings of the single case study couldtransfer to other engineering program related contexts. Finally, the study steps beyondengineering programs to examine emerging andragogical literature. This literature surveyprovides engineering educators a glimpse into the next evolution of how an andragogicalapproach to undergraduate learners may be applied to the engineering education enterprise andaccommodate more than just older, more experienced learners. Introduction In a recent workshop on engineering education, the National Academy of Engineering(NAE) President defined engineers as people who “create solutions serving the welfare ofhumanity and the needs of society”[1, pg. 10]. The report also goes on to say that engineers needto be
gives four options, one from each quadrant (i.e., AC,AE, CE, RO). Students then mark the options one through four according to their personalpreference. These scores and then added together to determine where the student’s fall on eachspectrum.The responses were then totaled according to a proprietary algorithm provided by the Hay Group.The data was programmatically checked for integrity, and the results were input into aspreadsheet.The LSI does not use the individual scores to plot the student’s learning style on the AC−CE andAE−RO axes so additional columns were added to compute these values. These values are bestexplained by example. Student 6 in the study scored CE=24, RO=33, AC=23, and AE=40 so thecomputed values are AE−RO=7 and AC−CE=-1
variables, we used items from Sustainability and Gender in Engineering(SaGE) (Godwin, Potvin, Hazari, et al., 2013) and Hazari et al.(Hazari et al., 2010).SaGE contained the phrasing of items as seen in Table 1. To generate the three domainareas for our survey we replaced the word “subject” with “math”, “physics”, or“engineering” to form three sets of questions that addressed performance/competence,interest, and recognition for each domain area. Our dependent variable is a newly createdtwo-item engineering identity scale consisting of one visual and one verbal item relatingto the extent to which respondents believe their personal identity overlaps with theidentity of an engineer (Borrego, Patrick, Martins, & Kendall, 2018). This factor was on
labsTwo sample labs are provided below. These are two summaries of the actual hands-on activitiesin the sequence of experiments both groups of students performed. EXPERIMENT 1 Number SystemsObjective The objective of the lab is to convert binary or BCD numbers to decimal. Each group will construct aportion of a digital system that decodes a BCD number and displays it on a seven-segment display.Procedure 1. Datasheets can be found online using Google. You must enter the part number, found on top of each component, to obtain the appropriate pinouts. Draw a schematic with all pins labeled, it will help you as you are
studies from the Department of Computer Graphics Technology. He has re- ceived federal, regional, and international grants for his work. c American Society for Engineering Education, 2018 A Comparative Study on Affordable Photogrammetry ToolsAbstractThe objective of the Project MANEUVER (Manufacturing Education Using Virtual EnvironmentResources)1 is to develop an affordable virtual reality (VR) framework to address the imminentdemand for well-trained digital manufacturing (DM) professionals. One important part of ProjectMANEUVER involves studying, evaluating, and identifying cost-efficient ways to generate 3D solidmodels for use in VR frameworks. To this end, this paper explains the research effort to
for Engineering Education, 2018 A Comparison of Students Learning Programming with Online Modules, Instruction and Team ActivitiesAbstractThis paper investigates how first-year students learn programming through lectures involvingteam-based activities. Although programming instruction has traditionally been performedthrough individual means, advocates of “pair-programming” provide support for collaborativelearning in software engineering. While these studies have explored dyads of programmingstudents, this study goes further and investigates the effects of learning introductory computerprogramming in teams of four or five students. The primary research questions beinginvestigated in this paper include: 1) how do team
simulations on CAD software.The activity was successfully administered to an introduction to mechanical engineering class of221 students during the Spring semester of 2017. A discussion of the resources and personnelrequired (faculty and graduate teaching assistants) is also presented. The activity is consideredsimple to implement only requiring a computer station with installed CAD software offered bymost engineering programs. Continuous improvements to the activity are made based on facultyobservations as well as a survey administered to the students.1. IntroductionIncorporating team-based design projects into first-year engineering courses is beneficial to first-year engineering students [1]. First-year design projects have been proven to increase
codebook includedthemes and subthemes from the matrix with examples of each code. Intercoder agreementstatistics were calculated using MAXQDA software and averaged a correlation of 97.3%.The findings indicate an emphasis on the following SEPs: (1) planning and carrying outinvestigations (2) developing and using models and (3) analyzing and interpreting data. Forplanning and carrying out investigations, the coded segments encouraged students to makeobservations to be used later for analysis. A few segments related to making predictions but nonethat asked students to plan an investigation or evaluate data collection methods. Anothercommon practice that appeared in engineering-specific units was developing and using models.For this practice, students
with current trends.What are the differences between real and electronic or virtual education processes?What does it mean for a learning space to be over a distance? Which would be a betterway of how to get knowledge or how to learn? Related specialists have begun tocommunicate about more feasible pedagogic research and development as well aftersome open education declarations in recent decades; such as Open Education, HybridLearning, Social Learning and Next Generation Distance Education and Learning.1. Basics for Intentional Communications The necessary resources and their processes have been applied, revised and moreoptimally adapted for more practical educational situations[1][2][3]. Building highquality communications with less mutual
multiple choice test creates issues in providing timely andrich feedback in larger classes. We illustrate the relationship between rich feedback and classsize in Figure 1.Figure 1 illustrates the decline in the richness of feedback as the number of students increases.At the extremes, a small class (family business) can provide very rich feedback, but can onlyserve a small number of students. At the other extreme, a MOOC (massive open online course)might be available to thousands of students, but very little feedback is provided. The key goalsof educational scaling are the creation of paradigms that can serve a n increasing number ofstudents as well as the refinement of those paradigms to increase the richness of the feedbackprovided to students
non-airworthy and are not for future installation onairworthy aircraft.This study evaluates the perceptions of students’ experiences in the course using courseevaluation surveys before and after three primary changes made to the course: 1) improving theunderlying structure and alignment in the course sections through the focus on Federalcurriculum requirements for powerplant certification, and ABET-ETAC outcomes, 2) increasingproductive and clear applicability to course outcomes in student time on equipment in thelaboratory, and 3) increase student feedback opportunities. Implementation of the changes to thecourse have been made by following a structured methodology.There has been an improvement in the students’ perceptions of the course
that 40% of the engineering and pre-engineering students enrolled in a Calculus Icourse in the fall 2016 semester, did not end up completing the course. There are several factors that affect retention rates in engineering, including inadequateadvising and poor problem-solving and project management skills [1]. The low retention ratescan also be caused by lack of recognition and support [2]. Another important factor is the socialconnections between the new students, their peers, and the faculty. The students who do not feelconnected to their peers or to their program department are more likely to leave [3][4]. With theunderstanding that these are the key factors that are negatively affecting engineering retentionrates, a solution was
meeting specific standards [1]-[2]. Manufacturing relatedmaterials standards provide a consensus regarding desired properties between bothmanufacturers and customers. Moreover, these standards provide analysis methods to measurethe properties and lead to standard manufacturing procedures that ensure the quality. The ISO9000 family of quality management systems standards is designed to help organizations ensurethat they meet the needs of customers and other stakeholders while meeting statutory andregulatory requirements related to a product or program [3]. For large manufacturer, the goal isto produce the same products with as little variation as possible among any of its factories.Standards and standardization make this possible and ensure
-commerce websites, autonomous car and many applications that involve computervision[1]. Deep learning algorithms work exceptionally well on the image classificationproblems, for both simple and complicated images. Notably, the deep convolutional neuralnetworks work excellent on image classification. In this paper, we introduce a deep learninggraphical user interface application based on the deep convolutional neural network.The deep convolutional neural network has been in the core position of deep learning domain.Although convolutional neural network used as an image classification technique for simpledigits or character recognition task in earlier time. However, due to the success of recent work,[2] use a deep convolutional neural network to
schools in the US [1]. For example, the University of Marylandhas a “Future Faculty Program” in their College of Engineering that requires programparticipants to enroll in three one-credit hour training courses, co-teach a course with a facultymentor and also mentor a less-experienced undergraduate or graduate student. The programcurrently has 25 students enrolled in the program, though students in Computer Science canparticipate as well [2].Another offering available to graduate students is the Georgia Tech “Tech to Teaching” program.Here, students can complete two levels of training: Level 1: Foundations of Teaching andLearning and Level 2: Teaching Capstone. The Level 1 training requires students to complete10 foundational learning outcomes
theseinsights, we offer pragmatic suggestions for refinement of the instrument. In these suggestions,we aim to enlighten future efforts to engage students in the diversification and inclusivity of theengineering field, and prevent future researchers from making similar methodological mistakes. INTRODUCTIONSince the U.S. Congress passed the Science and Technology Equal Opportunities Act in 1980,diversifying the engineering workforce has remained a national priority [1]. This act underscoredthe desire to reach equal representation of genders, races, ethnicities, and economic statuses inthe engineering profession [2], and emphasized the support of groups that are traditionallyunderrepresented in engineering, such as
Education, 2018 A Flipped Active-Learning Class to Support Diverse Students in a Large Introduction to Programming Class1. IntroductionTen years of surging interest in computer science has produced a nearly 300% increase incomputer science (CS) majors at Ph.D. granting institutions, as well as significant increase indemand for computing courses by non-majors [1]. While this surge may eventually helpameliorate pressing workforce needs for computing professionals [2], it is placing inordinatestress on resources and faculty of most CS departments. Measures taken to reduce this stress areoften at odds with goals to increase the numbers of CS graduates and to equip graduates of othermajors with the computational skills