with low education achievement according to U.S. Census data[1]. As a result, students entering STEM programs have a low-level mathematical preparationand a low awareness of the relationship between mathematics and their respective STEMdisciplines. The four-course sequence of precalculus and single variable calculus is a serioushurdle for students to succeed in their respective STEM majors. Pre-grant assessment datashowed consistent low grades in this course sequence. Additionally, many students enteringCSUB place at the precalculus level and many students repeat one or more courses in thesequence, which delays their progress in their STEM majors.The majority of students taking the precalculus and calculus courses are STEM majors ratherthan
, one of the highest in thedepartment, where failure is defined as a student receiving a final grade of less than C-. Failurealso includes ‘unauthorized withdrawal’, which is designated on the transcript as ‘WU’. (A gradeof WU is usually given when a student stops coming to class and turning in assignments). Figure1 below shows the percentage of students who received D, F, or WU grades since 2008: Figure 1. Historical failure rates in ME 30. The average failure rate from fall 2008 to spring 2018 was 19.1%. Data for spring 2017 was not available. Prior to spring 2018, C was the language used to teach procedural programming concepts in ME 30. From fall 2018 to the present, Python is the language used. The boxed numbers correspond to
engineering applications is no exception. Someundergraduate engineering students struggle with early course work typically entrenched inlearning underlying mathematics. Students are often able to understand engineering principles,but are unable to understand the mathematics behind the principles. This is due to studentsfinding it difficult to make connections and apply mathematics outside of routine computationalcalculations. [1]Traditional instruction of mathematics has relied predominantly on teacher-centered pedagogiesor passive learning (e.g lecture). [2] Active learning differs in that it includes student-centeredapproaches that are “any instructional method that engages students in the learning process. Inshort, active learning requires
the power of AI to innovateand retrain its workforce? From an industry perspective, how should degree programs evolve tomeet the needs of the “real world”? Findings from this workshop can serve as a guide toresearchers and decision makers in academia, government and industry on how AI will transformboth STEM education and the workforce.IntroductionGiven today’s advanced technologies and the integration of evidence-based instructionalapproaches, an educational transformation is underway. These changes are also fueled by therecognition of the myriad of challenges facing education and in particular, issues in science,technology, engineering and math (STEM) 1. What and how we teach will directly impact ournation’s success, bringing into question
transformation, which presentsus with challenges of a new dimension, scale and scope. The environment for engineeringpractice is changing fast and irreversibly, impelled by the impact of rapidly expandinginformation technology, the globalization of markets and manufacturing, and the imperativesof environmental protection and sustainable development. The complexity inherent in thenewest technologies and their interaction with society has created the demand for a newapproach to undergraduate engineering education. At the end of the past century, the NationalScience Foundation issued a program announcement for an action agenda for a systemicengineering education reform [1]. The program pursued the strategy of a paradigmatic shift inengineering education
1949 by GeorgeOrwell. Nineteen Eighty-Four [1], as a novel, was widely acclaimed as a forewarning, but verylittle from the book proved to be a reality in 1984, other than the potential for world-wide nuclearwar.It is now October 26, 1985 as Marty McFly is surprised by his friend and eccentric scientist Dr.(Doc) Emmett Brown’s sudden arrival in his DeLorean, which also happens to double as asuccessful time machine. 1.21 gigawatts later, Marty McFly and Doc have now arrived atOctober 21st, 2015. This scenario comes from the movie Back to the Future II [2] starringMichael J. Fox as Marty McFly. As people crowded into theatres for the movie’s release the dayprior to Thanksgiving 1989, they were treated to the unique opportunity to see an
Engineering Education, 2020 Understanding How Co-op Students View their LearningAbstractThis research paper discusses student perspectives on learning while on co-op and suggests waysto improve co-op experiences for students. Successful outcomes of co-op, like graduating withhigher GPAs [1], [2], having an easier time transitioning into full-time work [3], or beginningwith higher starting salaries [2], [4] have been discussed in the past, however, little is formallydocumented on the ways in which co-op provides these benefits. These benefits could be realizedthrough many different pathways which may include students improving technical and/orprofessional skills, refining their identity, and increasing their self-efficacy, among
personalities and psyches. Adding to the mix is thatmany programs have a required co-op rotation that adds an entire range of influences, many ofwhich are unforeseen and out of the control of the engineering programs.Co-op education has been shown to have numerous effects on students. Co-op education hasbeen shown to have an academic effect, with co-op students getting higher grades in somecourses, particularly in those based on soft skills [1]. Co-op education has also been shown tohelp in self-efficacy, particularly in work-related activities and has also shown to have a positiveeffect on retention [2]. Co-op education has also been shown to have a positive effect on startingsalaries (nearly 10%) [3]. The goal of this study is to gauge the effect of
fulfillment of the CE-BOK. To address the gap that remains after licensure and before acivil engineer is truly ready to assume responsible charge of civil engineering services, ASCEhas created the Engineer Tomorrow initiative.While threats to engineering licensure affect licensed engineers of all disciplines, this paperfocuses specifically on civil engineers, who are disproportionately impacted. According tograduation statistics published in Engineering by the Numbers (1) 14,370 baccalaureate degrees incivil, structural, and environmental engineering were awarded in the U.S. in 2018 out of a totalof 136,233 baccalaureate degrees awarded across all engineering disciplines. Despite the smallproportion of engineering graduates, NCEES Squared – 2018 (2
discipline. In particular, it asks:“what skills have students developed during their academic career before they enter a workenvironment?” In particular, this study focuses on co-op programs and work experienceduring a student’s education. Co-op has evolved over the years, changing and adaptingaccording to students, as is discussed by Haddara and Skanes [1]. This means that there arevarious forms around the world. Due to the location of this study (i.e. Toronto, Canada), welooked at the Canadian Association for Co-operative Education (CAFCE), as they discusswhat contributes to a successful co-op program in today’s age. They outline a pre-training forstudents that would foster transference of skills into the workplace so that they may developand gain
the CivilEngineering Body of Knowledge and enter professional practice. The ultimate goal of thisinitiative was to change state licensure laws, such that a master’s degree or equivalent(augmented by appropriate work experience) would become the academic prerequisite forlicensure as a professional engineer in the U.S. In support of this goal, ASCE and NCEESpartnered to promote RTB-compliant professional licensing legislation in several states. Despitethese efforts, no U.S. licensing jurisdiction adopted such legislation, largely due to oppositionfrom other engineering professional societies [1].Acknowledging this lack of progress, the ASCE Board of Direction formally initiated a majorchange in the direction of the RTB initiative in March 2018
administrative rules were examined to determine how each state 1) definesthe practice of engineering and 2) addresses the licensure requirements of civil engineeringfaculty who teach upper level civil engineering courses. The study found that forty seven of fiftystate statutes define the “practice of engineering.” Fourteen state statutes specifically define“teaching advanced engineering courses or engineering design” as the “practice of engineering”which requires a professional engineer’s license. Three of the fourteen state statutes define“teaching upper level engineering courses” as the practice of engineering, but specificallyexempt faculty who teach engineering courses from licensure requirements. The other thirty-sixstate statutes do not require a
Outcome 4), andthe ability to function effectively on a team (Student Outcome 5) [1]. Engineering educatorswork to identify the most appropriate curricular approaches to address these outcomes withintheir programs [2], [3].Internships or co-op experiences as well as capstone design projects are some ways in whichschools can address these important student outcomes in their curriculum. When incorporatingthese high impact experiences into a curriculum, research has also shown that internships thatdirectly relate to the academic program provide higher internship satisfaction and a higherperceived relevance to student’s career development [4]. Additionally, when students have achoice in the projects they work on and a genuine interest in the project
engineering, which can tip the scales in the students’ decision orability to stay in engineering [1]. Gateway courses to advanced study in engineering, such asCalculus II, have been historically perceived by students to be the most difficult [2]. Anecdotalreasons for this could include the complexity of the calculus curriculum, the amount ofbackground knowledge needed to keep pace with learning, and lack of time for conceptexploration and engagement during class. Studies have shown that self-efficacy is morepredictive of mathematics performance than prior mathematics experiences and measures ofmathematics anxiety [3], [4].Self-efficacy can be defined as an individual's belief in their innate ability to achieve goals, andis based on both skill mastery
. Suicide rates and the number ofstudents seeking help have both increased in recent years. Universities have been scrambling torespond to the increased demand for mental health resources, and many educators have foundthemselves at a loss about what to do to help students who approach them with mental healthconcerns.At The Ohio State University, several mental health and wellness initiatives are underway withinthe Department of Chemical and Biomolecular Engineering (CBE) and the College ofEngineering. A 2018 survey of CBE undergraduate students revealed alarming rates ofself-reported mental health issues. In response, a CBE Wellness Committee of faculty and staffmembers was created. The committee’s goals are to 1) increase student/faculty
(i.e., whether or not still at Penn State). Students were matched ongender, race, campus assignment, and SAT Math score (within 1 standard deviation).Results: Compared to a matched comparison sample, the Engineering Ahead students earnedstatistically higher grades in their first college math course by half a letter grade, were less likelyto drop their first math course, and earned a higher grade point average at the end of their firstyear of college.Conclusions: The significantly higher math course grades for the bridge students compared to thematched comparison students suggest that the bridge programming and cohort buildingbenefitted the students. We will continue to track Cohorts 1 to 3 as well as Cohort 4 (2019).Plans are underway to
isolatedfrom the environment and preventing or minimizing its negative impact on the environment is amonumental task that has recently gained momentum. According to the EPA, sustainability is “tocreate and maintain conditions, under which humans and nature can exist in productive harmony,that permit fulfilling the social, economic, and other requirements of present and futuregenerations”(1). Sustainable engineering is a process of practicing engineering withoutcompromising on the quality of the environment. Sustainable engineering therefore utilizes amultidisciplinary approach of balancing social, economic, and environmental aspirationscombined with good practices of engineering design, thus closing the gap between technology andthe community(2). The
objective includes five related project outputs: (1) energy-efficient new house design; (2)optimized solar PV system designs for new and existing homes; (3) optimized household componentselection (lights, appliances, and other electric devices); (4) research of shallow geothermal energyoptions using manually drilled wells; and (5) energy conservation promotion planning. The objective andoutputs 2, 4, and 5 (the foci of this paper) are described below.Project Objective: To design homes that are energy-efficient, optimized for the use of solar PV systems,and affordable for the average homeowner.Most sustainable home energy systems are typically marketed to those with relatively high incomes,while disadvantaged households and communities fall by the
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