in improving engineering education in higher education,institutions are still facing hardship in recruiting and retaining students in engineeringdisciplines. With the high demand of engineers in the workforce, institutions should take actionsin resolving this issue. A report conducted in 2012 proposed that if only 10 percent of thestudents who leave STEM majors were retained the demand of workforce can be met [1]. Aninitial step that can help to move towards this goal is to better understand what factors attractsstudents to matriculate into STEM majors and what factors attract students to leave STEM.Although there has been research on the characteristics of students who leave engineering, thedestination of those who leave STEM majors have
students take atleast one course at a distance, while public higher education institutions serve two-thirds of alldistance learners [1]. The growing student population and the need for more skilled workforce,together, are changing the landscape of online education in engineering disciplines. Theoverarching purpose of this work is to review and demonstrate the implications of onlineeducation in biomedical engineering. Specifically, this work will present strategies, qualityassessment, and lessons from designing and implementing the first fully online course in theDepartment of Biomedical Engineering (BME) at the University of Arizona.BackgroundAfter three years of offering an on-campus version of an introductory, dual-level (graduate
). Botswana Mentoring Model Botswana seeks to produce an environment conducive to change that includes initiativesfocused on policy, institutional, regulatory, and legal framework. These initiatives need thesupport of informal learning environments that focus on psychological as well as academicchallenges of pursuing STEM careers. Botswana has recently launched a STEM Mentorshipprograms in Gaborone, Francistown and Palapye in an effort to bolster its STEM population. Starting in 2019 Botswana developed a pilot program for a STEM Mentorship Club withthe following stated program objectives: 1. Assist students in developing the skills and positive attitudes towards STEM subjects required to succeed academically and succeed at the
aims toidentify trends, consensus, and discrepancy amongst high quality studies in the field [1], [2], [3],[4]. SLRs differ from typical ‘narrative’ literature review (borrowing Borrego’s terminology) inthat it employs “transparent, methodical, and reproducible procedures” [1]. SLR is anappropriate technique for addressing our research question because it provides a systematicmethod for selecting and synthesizing the results of high quality studies from a large database.Furthermore, the field of research in pedagogical techniques for teaching introductory circuits ismature enough to warrant such a review, an important criteria for carrying out a successful SLR[1].Writing about SLRs presents semantic challenges which necessitate clarity and
encourage them to pursue STEAM careers. One particularly effective approach isthrough hands-on learning and “making,” since children often have a natural affinity fortinkering and learn well through active involvement in meaningful activities [1]. Hands-on,project-based learning has been shown to get more students engaged with STEAM and help themlearn key skills for the future [2]. However, most STEAM education programs target students inupper-middle or high school [3]. Bustamante et. al write, “Since engineering education hastraditionally not been part of the general K–12 education experience (i.e., the beginning ofprimary school (age 5) through the end of secondary school (age 18)), early childhood educatorshave minimal background in engineering
students to learn from their struggle and from the failure oftheir ideas.Intro and Literature The ways in which teachers talk to their students greatly affects how studentsconceptualize and approach their learning [1]–[3]. In order for students to authentically practiceengineering design, teachers must provide their students the freedom to develop and try out theirown ideas and learn from the failure of their ideas [4], [5]. On the other hand, teachers often usetheir talk to maintain their control in the classroom and guide students towards expedientsolutions [6], [7]. This study analyzes these competing roles by examining the ways in whichteachers talk to teams of middle school students as they work on engineering design projects
decades, there has been an exponential growth of data, and now the quantity is farbeyond the human intelligence to process it. In addition, the traditional computer programscannot process the data effectively either. Therefore, neural network based artificial intelligenceis needed. This approach emulates the learning processes of the human brain, so it is also calledmachine learning (ML). (a) (b) Fig. 1 Schemes of (a) traditional programing vs. (b) machine learning.The traditional way of data processing is algorithm based, with the computer being a staticdevice to execute the program, which is shown in Fig. 1(a). In this approach, the
planning of a Three-pin plug wasgiven as the examination task. The results were excellent in that 43 out of 51 scored more than90%. The encouraging results suggest that AND/OR graph is a suitable method for assemblyplanning.1. IntroductionManufacturing in general can be divided into two classes of activities: fabrication andassembling. In fabrication, constituent parts are produced using the basic and advancedmanufacturing processes. Assembling on the other hand views the product as a set of fabricatedparts linked together through joints during the assembly process and each joint is made usingan assembly technique. Assembly Planning aims to identify and evaluate the different ways ofconstructing a mechanical object from its components. Mechanical
, glue, and Borax to create ‘slime’, as well as thesaponification reaction of lye and fat to make soap. BrainSTEM Alliance Ltd. Email: info@brainstemalliance.com Website: www.brainstemalliance.com Our mission is to collaborate with community partners to create accessible programming that fosters awareness, increases engagement and inspires the use of STEM in our daily lives. Our vision is for every person to have the opportunity to be empowered by Science, Technology, Engineering and Math (STEM).Method SummaryPart 1 – Material PropertiesThe activity begins by
course. Theresults suggest that instructors can start a CS1 class with Coral to enable a smooth start and toteach using an educational simulator, without loss in learning outcomes or programmingcapability. We indicate ideas of how Coral's introduction can be improved, which may yieldfurther improvements.1. IntroductionCS1 courses are difficult and commonly have high rates of Ds, Fs, and withdrawals [1], [2], [3],[4], [5], [6]. One contributing factor is the set of technical challenges in the first several weeks,including nuances of commercial languages like Python, Java, and C++ [7]. Those languageswere designed for professionals, not for learners. For example, Figure 1 shows an earlyinput/output program in a popular Python textbook
. Overall studentperformance in major assignments shows improvement in the blended class as compared to theregular class, thus indicating better knowledge retention in the redesigned course. Finally, theredesigned course shows active class engagement as obtained from video analytics data.1. IntroductionIn recent years, education in the STEM field has transitioned from traditional face-to-faceinstructional models to newer learner-centered approaches. An important aspect in these newerpedagogical models is integration of technological tools with traditional methods. As reported inliterature, the positive outcomes of technology-reinforced learning in STEM education includepositive attitudes toward content learning, greater retention of direct content
Photography to Deepen Global Engineering CompetencyAbstractThis work in progress examines how engineering students going abroad visualize theirexperiences through photography and asks how do students learn to see themselves as engineersin a global context? The project is integrated into a first-year global engineering course andbuilds on published educational assessment research of this program [1, 2, 3]. Through lecturesand discussion sections that travel overseas for two weeks after exams, the course seeks toincrease students’ global engineering competency (GEC), assessed by several instrumentsincluding the Global Perspectives Inventory (GPI). In 2019, instructors designed a photoelicitation-reflection as a
effectiveness of student learning andcompetitiveness of the manufacturing industry. A datum-based model for practicing GD&T hasbeen developed. In this paper, the authors will introduce an algorithm to automate theimplementation of the datum-based GD&T model. Both the model and the algorithm were usedin teaching GD&T. The course assessment was done in 2018 and 2019. The assessment fulfilledexpectations.IntroductionThe quality of a part is dependent on the geometric specification (ideal target geometry andtolerance) of its components. Geometric Dimensioning and Tolerancing (GD&T) is an importantstep in product design [1]. Tolerance modelling has been a topic of research for many years [2]. Sofar, ten GD&T representation models have
weathervane prototype.To have a better understanding of Additive Manufacturing, students watched various videos onthe history and projected outlook of using 3D printing. Also, students researched various conceptssurrounding Additive Manufacturing. Dr. Megri taught the students to stress analysis and, alongwith Ms. Wallace trained the students on constructing and presenting their work at the end of theworkshop. Mr. Morgan worked with the students on several projects: 1) designing and 3D printingtools holder; 2) designing safe children playground equipment. On the last day of the workshop,the students gave PowerPoint presentations on their designs and 3D prints. Parents were invitedto the presentations
article focuses on the continuous improvements made to a cornerstone course. Theseimprovements are related to how to determine work topic, team composition, and teamassessment methods for each semester.Cornerstone courses are engineering design courses that provide first-year students with an earlyintroduction to competences for solving real-world problems [1]. This type of course is usuallytaught using project-based learning (PBL) methodology, which introduces students at earlystages to ill-structured problems. PBL methodology has proven to have several benefits forstudents by enabling them to generate original opinions and express individual standpoints,improve their active participation in self-learning processes, enhance communication skills
paper outlines the current versions of the activities that I use to supportstudent writing in MSE 281. All of the full documents are included at the end as appendices.Initial Exposure to Technical WritingJust before students begin working on their first lab report, I assign them a technical journalarticle to read [1] and a set of questions about the article to answer. The article is short (3.5pages including many graphs) and related to a topic that we are currently covering in lecture(solid state diffusion). The article I use was found with help from my university’s engineeringlibrarian. The students must answer questions related to both the content of the article (e.g. Whatis the diffusivity of copper when the carbon content is 0.6% and the
teachers were trained to fabricate DSSCs as partof an ongoing NSF RET program. The materials and equipment used for producing DSSCs arebasic, and a standard procedure was formulated for the work to be replicated in a regular classroom.DSSCs were constructed using fruit juices from blackberry, raspberry, mulberry, blueberry, andstrawberry. The absorption spectra of fruit dyes, along with food dyes, were examined in contrastto the solar spectrum. Teachers demonstrate the working principle of DSSCs and integrate hands-on activities into the K-12 curriculum. As the outcome, students should be able to (1) explain howa dye-sensitized solar cell converts sunlight into electricity; (2) design and build a dye-sensitizedsolar cell from basic components; (3
account titled “A Century of ASEE and Liberal Education,”O. Allan Gianniny (1995) highlighted the recursive nature of attempts to optimize thecontribution of the humanities and social sciences (HSS) to engineering education [1]. Amongthe numerous reports on the improvement of engineering education, Gianniny cites WilliamWickenden’s 1930s Report of the Investigation of Engineering Education, 1923-1929. In thechairman’s report that introduces Vol. 1, Charles F. Scott expresses aspirations and concerns thatstrongly resemble those expressed over the last 20 years: “the functions of the engineer havebecome more complex and are interrelated with many activities of modern life…. The strictlytechnical activity is comprised in engineering but it is not a
/assignment completion improved from 68.5% to86%. It should be noted that the impacts of spring semester versus summer semester could not beassessed with the existing data. Other than this, all other aspects of the two classes were identical.The comparison of the student feedback for these two courses in the-end-of-the-semester and in-class evaluations indicated that the overall student satisfaction was improved and they had a morepositive learning experience. Page 1 of 12IntroductionVarious forms of distance education have been around in the past few decades. However, theonline delivery of courses and curriculums have revolutionized distance education. The number ofstudent enrollment in distance education
measure the effectiveness of such experiences is of both academic andindustrial importance.Even with the increased emphasis on the use of student teams in academia, research studies thatrigorously attempt to assess team effectiveness are limited. Team effectiveness is an essentialelement of the overall collaborative experience, and the work presented herein will address thefollowing research questions: 1) How do differences in perceptions of team effectiveness(measured by constructs of learning, interdependency, goal setting and potency) explainvariability in individual learning? 2) How do differences in perceptions of team effectiveness(measured by constructs of learning, interdependency, goal setting and potency) predictvariability in team
introduced by geographical borders. In addition, this paperdiscusses best practices for effective collaboration, guidelines developed for this collaborationand similarities and differences among the team members that contributed to a stronger and moreproductive team. Furthermore, this study sheds light on important factors that led to moreeffective collaboration that is transferable to other teams.Introduction:According to the Accelerating Change for Women Faculty of Color in STEM: Policy, Action,and Collaboration report in 2013 [1] there were approximately 6,400 female faculty of color,while there were 19,800 white female faculty, 20,500 colored male faculty, and 65,100 whitemale faculty. Female faculty of color face many challenges in addition to
senior years. Additionally, the weightingof graded events shifted longitudinally through major courses. Graded events worth < 5% of thecourse grade were most prevalent in the sophomore year, and events worth ≥ 5% occurred mostfrequently in the senior year. Implications for our university’s environmental engineeringprogram are discussed, to include opportunities for scaffolding events across courses. Themethods presented in this study can be used by other environmental engineering programs toidentify gaps in technical communication education and methods for improvement within theircurriculum.1. Introduction1.1. BackgroundEngineers need strong communication skills to effectively convey ideas to a range of audiences(Kamarudin et al. 2012). Many
/science degrees can limit success in leadership roles, wheresoft/professional or people skills may dominate the approaches required. Indeed, numeroussurveys and curriculum outcome assessments promote the need for professional skillsdevelopment during the educational process [1-6].Engineers are taught to address complex technical problems using fundamental principles andrubrics that allow progress to be made toward an optimal solution. Technical leadershipresponsibilities include oversight of technical problem-solving, but in addition, leaders mustaddress the added complexity that exists when engineering/scientific and people problemsintersect; these situations are referred to as sociotechnical issues. Effective methods to solve suchproblems
a greater percentage than working engineers.As to persistence in engineering, a number of studies [1], [2], [4], [5], [14] found that students’abilities, perception of abilities, especially in mathematics play a big part. Another largecontributing factor to persistence is student aspirations and how well the discipline – or moreaccurately, their perception of the discipline – lines up with their career aspirations and personalinterest. To improve retention, engineering programs need to ensure that students recognize howtheir career aspirations and personal interests align with their chosen field early in their studies.Toward this end, an accurate picture of student interest is needed.Study PopulationThe authors teach an introductory course
in the pre-lab questionnaires. Thepercent increase in the average scores for all labs range between 22-75%. The percent increase orimprovement was seen to increase through the labs from lab 1 to 5; a trend that would requirefurther investigation to see if it was related to improved performance as the course progressed ordue to more familiarity in one topic than the other.Keywords: active learning, team oriented, interactive learning, student centered, students’ survey, prepost questionnaires testing.IntroductionFluid mechanics is a traditional required course in the engineering and engineering technologyprograms. Students from different majors including mechanical, electrical and/or civil engineeringare required or are interested in taking
Simulation Data, applications to Industrial and service system designs. Tounderstand student learning and the grasp of the concepts discoursed during the course,Natural Language Processing techniques have been used to qualitatively measureconcept association by the students.SIMIO Tool - Introduction and Background Simulation of Intelligent Objects (SIMIO) is an object-oriented modelling tool thathelps in building and executing dynamic models to analyze, understand and predict asystems performance. Object-oriented modeling has been around for 50 years, firstintroduced by the modeling tool known as Simula [1]. The method used in these kinds oftools involves the user selecting objects from a library and placing them into a modeling“canvas
parallel to the particle F = ma by adding, for planarmotion, for example, the equation M = J, where M is the net moment, J is the mass moment ofinertia, and is the angular acceleration. One casualty of the process of lumping distributedeffects is that students have a hard time developing a sense that the location of mass matters, asdoes the nature of distribution of forces. The distribution of mass manifests in J, but itscomputation is separated from balance of moment and is often just extracted from a table.The Mechanics ProjectTextbooks and most traditional learning environments have yet to embrace what is known aboutstudent learning [1]. The way information is organized in the traditional layout promotesgrouping problems based on the special
experience and interest in interactive teaching. We define interactive teachingbroadly to include teaching that moves beyond lecture to engaging students in working with thecontent during class. This could include strategies as simple as a think-pair-share questions, shortitems with clicker response systems used during lecture or entirely flipped classrooms wherestudents spend the majority of class time working on tasks individually or collaboratively. Wefocus on the development of a community defined as “the development of a shared identityaround a topic or set of challenges. It represents a collective intention - however tacit anddistributed - to steward a domain of knowledge and sustain learning about it.” [1] (p. 9)ProjectOur lessons learned
degrees awarded each year [1]. As such, in 2006 a team of faculty from seven Hispanic-Serving Institutions (HSIs) formed the Computing Alliance for Hispanic Serving Institutions(CAHSI) to create a unified voice for consolidating the strengths, resources, and concerns of HSIsand other groups to address the shortage of computing professionals, especially Latinx. Over time,the number of CAHSI institutions grew; and, in 2018, CAHSI was awarded an INCLUDES grantfrom the National Science Foundation to maximize its national impact using a collective impactframework. For CAHSI INCLUDES to be a successful alliance, it must contribute to reducingthat gap, which is an economic and educational equity imperative [2].The national CAHSI INCLUDES Alliance has