best promote studentlearning. With a base of ideas summarized in the book “How People Learn (HPL)” [1], VaNTHextended HPL’s research base from K-12 education to undergraduate and graduate learning inbioengineering [2, 3]. The four thrusts of HPL are: learner-centered, knowledge-centered,assessment-centered, and community-centered education. The HPL framework only highlightsthe need for these critical dimensions, and does not provide specific details for how tosystematically design instruction to optimize them. VaNTH researchers found challenge-basedinstruction (CBI) to be an effective instructional model for designing learning environments [4,5]. Challenges provided students with the conditions for when and how to apply specificknowledge, and
focused on in undergraduate education. Makerspaces cansupplement this deficit to a degree, but often only provide the equipment and spatial resourcesfor the students and may lack the technical expertise and training of dedicated staff [1]. Bygiving early access to specialized pieces of equipment and hands on training early inundergraduate education, allows them to develop innovative ideas that utilize the equipment fortheir projects. Training also allows students to quickly become comfortable with the tools thatelectrical engineering depends on, instead of having to develop their proficiency in the first fiveyears of being in the workforce or graduate school.Introduction:Back in the fifties and sixties there was a significant push for engineering
these thoughts can also imagine how things could have beenworse (known as downward counterfactuals), more commonly people’s thoughts about negativeevents are drawn to how things could have been better, known as upward counterfactuals [1].(Given that upward counterfactuals are substantially more common than downward in daily life[2], and that these thoughts involve distinct patterns of emotions and motivations [3], in thecurrent research we focus exclusively on upward counterfactuals.) Counterfactual thoughts playan important role in causal reasoning, motivation, and planning. In the current research, wetherefore examine whether students’ counterfactual thoughts about their first exam in a coursepredicts their subsequent behavior and
their undergraduate career, and navigate the culture of engineering.Within engineering culture, the formation of identity has been shown to be important in theretention of students [1]. The past decade of engineering education has focused heavily onimproving students’ development of an engineering identity, which has been shown to affectboth students path into college and how they proceed through college [2]–[6]. These resultsillustrate the importance of developing an identity; however, this development process can bedifficult. For example, having a metric for comparison to what constitutes an engineer isimportant and yet Tonso [7] described how students view engineers as, “a mythic persona thattranscended the mundane.” This quote not only
succeed in their field of study, 38.7% ofstudents had a stronger sense of belonging to the school’s community, and 67.7% of studentswere more confident about learning effectively on their own. Furthermore, a 12.7% increase wasobserved in the number of students who scored more than 80 points on a 100-point final exam,and a 20.8% decrease was observed in those who scored less than 60 points on the exam.I. INTRODUCTIONRecent studies have identified transparent assignments—that is, assignments with a clearlydefined purpose, clearly specified tasks, and well-defined criteria for success [1]—as a simple,replicable teaching-intervention technique that enhances students’ success. [2] reported that thebenefits of transparent assignments are especially
. Importantly, our project focuses on a specific section of the pathway to anengineering career and explores variation across subpopulations and local contexts. Moreover,rather than focusing on single interventions, we frame our research holistically to understandhow the variety of potential gatekeepers might be re-positioned or trained to support a morediverse population of students who choose to enroll in postsecondary engineering programs.The overarching research question that we seek to answer is as follows:Where and why are there demographic variations across high schools in the proportion ofstudents who fit an engineering academic profile but do not enroll in an engineering major?We break that question into the following sub-questions:1. How do
EEundergraduate program. The vision presented in this work will certainly have similarities tocurriculum development at other institutions, where we believe that primary distinguishingfactors are the establishment of relevance at an early stage of the curriculum, and development ofabilities to solve cross-disciplinary challenges with high complexity.Background and MotivationsThe current EE curriculum at most institutions is traditional in providing a rigorous educationgrounded in the fundamentals of the discipline and then providing depth in sub-disciplines of thefield. However, EE enrollments are declining [1], both nationally and at the University ofMichigan (UM), and the undergraduate student population is predominantly male and white orAsian
mentors, developing and reviewingstudent applications, interviewing and training site leaders and mentors, and working withcommunity partners (e.g., schools and corporate partners). The next step of expansion will beconducted through a research-to-practice based partnership with Virginia Tech and PurdueUniversity under the project title, Strengthening the STEM Pipeline for Elementary SchoolAfrican Americans, Hispanics, and Girls by Scaling up Summer Engineering Experiences. Thepartnership is guided by two objectives:(1) Evaluate the proposed program’s success at influencing STEM-related academic and career identity, conceptual knowledge, and interpersonal and intrapersonal skills.(2) Generate evidence and a greater understanding of
Analysis of Correlations in Student Performance in Core Technical Courses at a Large Public Research Institution’s Electrical and Computer Engineering DepartmentIntroductionThe National Science Foundation is supporting our Electrical and Computer Engineering (ECE)department at Colorado State University (CSU) through their “Revolutionizing Engineering andComputer Science Department” (RED) program. As the focus of this project, we propose toremove the artificial barrier that a traditional course-based curriculum creates [1]. To aide indoing so, we seek to understand the relationships of student performance between technicalcourses within the ECE curriculum. In particular, we begin by studying the
State University Jeff Zacharakis is a professor of adult learning and leadership in the Department of Educational Leader- ship. His areas of research include leader and organizational development. c American Society for Engineering Education, 2018 Work in Progress: Investigating the role of social responsibility on veteran student retentionIntroductionThis study addresses national initiatives to increase and diversify the engineering workforce [1][2]. According to the findings from the National Science Foundation (NSF) Workshop onEnhancing Post-9/11 Veteran Educational Benefits, the current veteran student population holdsthe greatest potential to increase representation
design. The site will recruit and train nine undergraduate students each summer andengage them in research endeavors on the design of sensors including student training inmathematical methods for extracting information from sensor systems. The program waslaunched in 2017, and nine undergraduate research projects advised by a team of faculty advisorsstarted in the summer. The projects embedded REU students in tasks whose focus was to designsensors and interpret their data by studying and programming appropriate machine learningalgorithms. The paper describes the technical details of the research activities and summarizesan independent assessment of the projects and learning experiences.1. IntroductionUndergraduate research projects, assessments
response to a specific concern raised byregional industry partners and technical workforce recruiters about the lack of pragmaticmetrology/NDI-related knowledge and skills in their incoming regional workforce. For this, 5vertically-integrated teams, each comprising of 2 REU students, 1 senior undergraduate and 1graduate student (from the host institution) and a faculty mentor worked in concert on selectresearch projects over 10 summer-weeks. Each REU student pair was recruited and matchedbased on complementing skills/interests. This onsite experience was supplemented with follow-ups for continued interaction, growth, and guidance for pursuing advanced study. The overallimpact of this site was to create empowered future researchers and a workforce
National Laboratories in Albuquerque, NM. He directs the KSU Medical Com- ponent Design Laboratory, a facility partially funded by the National Science Foundation that provides resources for the research and development of distributed medical monitoring technologies and learning tools that support biomedical contexts. His research focuses on (1) plug-and-play, point-of-care medi- cal monitoring systems that utilize interoperability standards, (2) wearable sensors and signal processing techniques for the determination of human and animal physiological status, and (3) educational tools and techniques that maximize learning and student interest. Dr. Warren is a member of the American Society for Engineering Education and
base regarding effectivestrategies for enhancing STEM educational opportunities for minority males, and webinars. Theproject partners have also created a roadmap for a NIC to address the challenges describedabove. This paper describes a work in progress and will provides an update on the NIC to thebroader engineering community.BackgroundMinority males are underrepresented in STEM careers in comparison to their numbers in thegeneral population. As shown in Figure 1, Black males are 5.6% of the US population but only2.9% of the engineering workforce. In comparison, white males are 31.8% of the US population,but are overrepresented in the engineering workforce at 63.5%. Disparities betweenrepresentation in the S & E workforce versus the
. The features describedprovide a model for delivering meaningful assistance to at-risk students in such courses.IntroductionWithin many collegiate engineering programs, there are well-known gateway courses in whichthe DFW rates are in excess of 30% [1]. While numerous arguments exist as to why studentsstruggle in these gateway courses, many of the purported reasons are related to either a generallack of appropriate study skills or to the nature of the content itself. Supplemental instructionhas been thoroughly explored as a means to guide students toward developing general studyskills and habits, as it has been asserted that “students who performed well in high school classeswhile exerting minimal effort, may not possess the necessary study
inferences [1].When students are outside of the classroom, achieving that quality of interaction is challenging,but doing so would greatly enhance the students’ preparation for class or follow-through afterclass. In this study we seek to use dialogue videos to foster interactions between pairs of studentsoutside of the classroom while working on homework in a flipped bio-transport class (fluiddynamics, heat transport, and mass transport). Thus, our research question is: Do dialogue videosenhance learning and foster interaction between students? In each dialogue video, a student/tutee works an example problem while the instructor/tutorassists the tutee and ensures that the tutee thinks out loud. Monologue videos, instructor only,were also recorded
effectiveness and impact in subsequent coursescaused by implementing engineering mathematics into this introductory electrical engineeringcourse. In general, the proposed study will consist of a grade comparison between students whotook the introductory course in the three years before the inclusion of engineering math contentand those who took the introductory course in the two years after the addition of engineeringmath content.IntroductionIn 2004, Klingbeil, et al., introduced a model of an introductory general engineering course thatwas application oriented and incorporated a hands-on approach [1]. The model was originallydeveloped to increase retention and motivation within the engineering field. The outcome of thisstudy is referred to as the
, et al., 2017; Bardi, et al., 2003;Priniski, et al., 2017). Thus, prosocial goal congruity, especially as a function of work-goalaffordances, can spur motivation of all students, but especially those currently underrepresentedin the engineering workforce (Thoman et al., 2015). Figure 1. Goal-Congruency ModelThe engineering profession is often misperceived as not affording prosocial value. Indeed,engineering embodies the stereotype of individuals working in isolation with a singular focus ontechnology (Cheryan, et al., 2013; 2015). While there are certainly parts of engineering thatinvolve working alone, 21st century engineering problems are predominantly solved by teamsworking collaboratively to create
in biomedical signal processing. He teaches courses in digital systems, signals and systems, communications and digital signal processing. c American Society for Engineering Education, 2018 WIP: Implementation of Electrostatics Tutorials Utilizing an Electronic Response SystemIntroductionResearch has shown that an active learning environment implemented in an electromagneticsclassroom can yield improved results in student outcomes: increased scores on Fundamentals ofEngineering exams, increased conceptual understanding, and reduced failure rates [1], [2].Research also suggests that an active learning classroom can mitigate the intimidationexperienced by junior
, weneed a STEM workforce with exceptional communication skills, as well as a society thatunderstands and supports large scale initiatives to spur STEM innovation and bolster STEMeducation. This paper presents a novel oral communication curriculum that is being developedand tested at Montana State University (MSU). The program, called the “STEM StorytellersProgram”, uses a transformative approach to training graduate students that pulls knowledgefrom the journalism and performing arts community. Our program has three specificcomponents: (1) creating jargon-less podcasts; (2) receiving training from an improvisationalactor on stage presence; and (3) presenting at “curiosity cafes” to audiences from the generalpublic. This paper will present the
American Society for Engineering Education, 2018 Increasing the Spatial Intelligence of 7th Graders using the Minecraft Gaming Platform (Work in Progress)IntroductionSpatial intelligence, operationalized for this study as the ability to make spatial judgment andvisualize, has been shown to be significantly correlated with achievement and retention inSTEM[1, 2]. Yet despite the role spatial skills play in STEM success, it is an area that receiveslittle precise instructional focus in K-12 contexts. Spatial intelligence has also been shown to beone of the only areas in which males outperform females[3], with noticeable differencesemerging in the middle school years. This difference has been suggested to be a
faculty training in enhanced pedagogicalstrategies will also be developed in future work based on the outcomes of this work-in-progress.Communication Skills in Engineering EducationIn a 2006 study conducted by researchers at Penn State on behalf of the Accreditation Board forEngineering and Technology (ABET), 98% of employers surveyed ranked effectivecommunication as moderately important, highly important or essential, the highest ranked of alleleven ABET learning outcomes. However, only 75% of these employers reported that newengineering graduates were adequately or well prepared in terms of communication skills [1].The current ABET General Criterion 3, outcome (g) states that students must demonstrate “anability to communicate effectively”, but
able to use graphic intensive computer simulation to offer learners differentlearning experiences. These mathematical driven images or models provide the learners visualcues in addition to the numbers [1], and help construct the necessary cognitive models thatenable the learner’s deep learning [2]. For example, time-based two-dimensional images can beused to explain how the fluid flows under different conditions [3], [4]; three-dimensional modelscan be used to illustrate the chemical structure of DNA [5]. The learner can also interact withthese images or models to pick up essential knowledge or information from the prescribedresponses [6]. Furthermore, simulation has been used to verify the learner’s design approach andprompt the learner with
the product-based learning, undergraduate engineering classroom. The aim is to expandunderstanding of what Making learning in the context of engineering design education might beand to illustrate educational pathways within the engineering education curriculum.The main research questions are (1) How do engineering students learn and apply Making? and(2) What are the attributes of Making in the engineering classroom? Traditionally, engineeringdesign is taught as a means for students to synthesize their engineering content knowledge incapstone courses. These design courses are usually successful, in that the students do well, theycome up with innovative solutions, and they are satisfied with their school experience and feelready for the real
currently being pilot tested under the Active Learning Modules toSupport Problem-Based Learning: Effects on Engineering Retention and Academic Outcomes ofAt-Risk Students project funded through the National Science Foundation IUSE Program(Award # 1725874) to refine through evidence-based process outcomes.IntroductionAn engineering graphics course is important for the development of visualization abilities,communication in engineering settings, and provides foundational skill needed in subsequentengineering coursework [1], [2]. Like many introductory courses at the collegiate level,engineering graphics may be taught via a lecture-based format of instruction with studentsworking on assigned work outside of the classroom or in a large laboratory
draw pixels on the screen and the smoother video is. Ifthe video card can draw images (i.e., video) faster than the computer can download the image datathen the user will notice a stoppage in the video playback, this is why video is preloaded (i.e.,buffered) into computer memory prior to starting video playback online.The left portion of Figure 1 shows 1 pixel having the dimensions of 1 pixel (height) by 1 pixel(width) and having the color value of white. The right portion of Figure 1 shows 3 pixels with thedimensions of 1 pixel (height) and 3 pixels (width) and having the ordered (i.e., sequence) colorvalues of white, grey, and black. Figure 1. Defining pixels for use in this paper.When an image is stored as a file, it
activelyparticipating in learning and fostering their deep understanding of engineering statics anddynamics.Key words: The flipped classroom, collaborative learning, active flipped learning, AFLIntroductionTo increase student retention rate and academic performance,many STEM researchersbegin to investigate the flipped classroom in higher education[1]. The flipped classroom hasstudents watch prerecorded lecture videos before coming to class, and the classroom becomesthe place to solve problems and advance concepts. The fundamental idea behind flipping theclassroom is that more classroom time should be dedicated to active learning where theteacher can provide immediate feedback and assistance[2][3][4]. While flipped classroomappears promising in its ability to
considerations. After EACparticipation, new instructional content has been created that highlights five risk categories thatextend the consideration of risks beyond the completion of the project: technical, resource,safety, societal, and environmental risks. When teams consider safety, societal, andenvironmental risks, they have considered, at least at a cursory level, the harms that theirdecisions may cause and how a redesign could mitigate or remove those harms.The questions the authors seek to answer are: (1) Were students able, after seeing examples, toconsider risks related to harms that their designs may cause? (2) Did the balance of risks relatedto technical and resource challenges, compared with risks related to harms that could be caused,vary
professionally.BackgroundAdditive manufacturing (AM) is a growing trend in both industry and academia [1-4]. Anytraining in AM thus necessarily focuses on preparing the country’s professional workforce for apossible renaissance of U.S. skilled manufacturing by creating new personnel proficient in it.This then creates an obvious goal for any college of engineering. AM is mainstream [1]; it hasthe potential to bring jobs back to the U.S. [2] and add to the nation’s global competitiveness [3-4]. Additive manufacturing is a class of manufacturing processes where material is deposited in alayer-by-layer fashion to fabricate a three-dimensional part directly from a computer-aideddesign model [5]. It was first demonstrated more than twenty-five years ago, but it hastransformed
weld sequences are simulated. In addition to distortion, residual stressand plastic strain distributions are obtained from the analysis. The heat sink effect is alsoanalyzed using transient thermal-mechanical analysis. The predicted welding distortion is inreasonable accuracy as it correlated with test data.1. IntroductionDue to many desirable properties of aluminum material (such as low weight-to-strength ratio andexcellent resistance to salt water corrosion), the aluminum has been increasingly used in vehiclestructures, such as cradle. The cradle is a welded structure to mount engine in a vehicle. Besidesextrusion, Metal-Inert-Gas (MIG) welding is a primary manufacturing process for aluminumcradle. The distortion in welding aluminum part is