this group of recent engineeringgraduates. And while the data collection approach is certainly different from observational methods,the focus and intent are similar (i.e., capturing experiential learning in context for specificorganizational members).In short, researchers and educators need to better understand experiences that compriseprofessional engineering practice, but do not have especially robust means of acquiring them.Capturing the experience of recent graduates in particular is important because 1) the school-to-work transition period has important impacts on more distal outcomes (Bauer & Erdogan, 2012) and2) because engineering graduates are consistently described as underprepared for the realities ofmodern engineering practice
purpose of a university and determinewhich functions should be maintained, which modified, and which further developed.Additionally the framework suggests possible alternatives for re-envisioning both curriculumand the partnerships universities need to pursue to adapt to the affordances and challengesposed by information technology.IntroductionIt is widely held that universities serve multiple functions in society. The relative weight ofthe purposes of a university education wax and wane over time as society changes. In 1851publication of Newman’s [1] reflections on the aims of a university education emphasizedthat cultivation of the mind was most important with civic and economic benefits accruedindirectly. Improvement of the individual was the
engineeringclassrooms: Possible ways to design classes for student’s knowledge retentionMotivationAn individual’s learning method is often subject to personal inquisitiveness, initiative andinspiration from instructors or other mentors together with persistent hard work. Since it is noteasy to cater to either inquisitiveness or student initiative in conventional classrooms, the role ofthe instructor becomes critical in moulding a student’s learning method [1]. Meanwhile, instructorsface the challenge of juggling many hats at the same time. They are required to deliver content,monitor students’ progress and assess periodically. In such busy environments, arguably, manyinstructors cannot afford spending time on facilitating aspects of inspiration nor can
veteran undergraduates in engineering.Theresa Green, Utah State University Theresa Green is a graduate student at Utah State University pursuing a PhD in Engineering Education. Her research interests include K-12 STEM integration and improving diversity and inclusion in engineer- ing. c American Society for Engineering Education, 2019 1 An Inquiry into the Use of Intercoder Reliability Measures in Qualitative ResearchWhen compared to quantitative approaches, qualitative approaches are relatively newer to theengineering education research community (Borrego, Douglas, & Amelink, 2009). As thecommunity
thedevelopment of novel research questions. The questions will inform future research that willcontribute to the body of knowledge available on the role of makerspaces in engineeringeducation.backgroundThe concept of the Maker Movement was developed by Dale Dougherty, the founder and CEOof Maker Media in 2005 [1]. Along with the publication of Make: magazine, Dougherty initiatedthe Maker Faire event to support the movement he popularized. Many individuals have providedvarious definitions for the social phenomena known as the Maker Movement, but Martin’sdefinition is selected for this body of work because of its universal nature. “The MakerMovement represents a growing movement of hobbyists, tinkerers, engineers, hackers, andartists committed to
STEM Initiative (CBSI), funded by six phil- anthropic foundations, he has conducted significant K-12 education, training, mentoring, and outreach activities to integrate engineering concepts in science classrooms and labs of dozens of New York City public schools. He received NYU Tandon’s 2002, 2008, 2011, and 2014 Jacobs Excellence in Education Award, 2002 Jacobs Innovation Grant, 2003 Distinguished Teacher Award, and 2012 Inaugural Distin- guished Award for Excellence in the category Inspiration through Leadership. Moreover, he is a recipient of 2014-2015 University Distinguished Teaching Award at NYU. His scholarly activities have included 3 edited books, 9 chapters in edited books, 1 book review, 62 journal
necessary to success in a wide range of engineering technology disciplines3.The specific ABET ETAC student outcomes for Engineering Technology are3: (1) an ability to apply knowledge, techniques, skills and modern tools of mathematics, science, engineering, and technology to solve broadly-defined engineering problems appropriate to the discipline; (2) an ability to design systems, components, or processes meeting specified needs for broadly-defined engineering problems appropriate to the discipline; (3) an ability to apply written, oral, and graphical communication in broadly-defined technical and non-technical environments; and an ability to identify and use appropriate technical literature; (4
. Project-based courses attempt to resolve the tension betweenproviding training in the fundamentals of engineering and problem solving by motivating and engagingstudents. Active learning in first year engineering courses is believed to improve retention and appeal toa diverse population of students [1].We report on a two-year study using the Arduino platform to build a series of projects. We have usedArduino platform projects in two-course instances and present survey results describing studentresponses to learning with Arduino. 1. Introduction Multiple active learning projects and hands-on activities are incorporated in the Fundamentals ofEngineering course. This course is a required course for first-semester engineering students in
-WIE. She is also on the leadership team of the Kentucky Girls STEM collaborative network. c American Society for Engineering Education, 2019 USING A DATA SCIENCE PIPELINE FOR COURSE DATA: A CASE STUDY ANALYZING HETEROGENEOUS STUDENT DATA IN TWO FLIPPED CLASSESAbstractThis study presents a data science methodology to integrate and explore disparate student datafrom an engineering-mathematics course. Our methodology is based on exploratory data miningand visualization for analyzing and visualizing raw student data from multiple data sources. Theexploratory analysis serves two purposes, 1) it supports the instructor's desire to gain insightsinto the implementation of a flipped
this paper are available forother schools that would like to use and/or modify for their own purposes.[1]IntroductionAdministrative tasks like scheduling require substantial work doing iterations of menialtabulations, analysis, and revision. Most colleges and universities have software that helps withthese tasks, but it is not well suited to a technical curriculum with extensive prerequisites,laboratory/equipment/software constraints, and faculty availability. The result is a lot of manualprocessing of spreadsheets and timetables.At Western Carolina University (WCU) there are five residential undergraduate programs thatshare a number of courses. In addition, there are two undergraduate programs that are offeredoff-campus and a residential and
learning and retention in general.Related workIn this section, evidence is presented on effectiveness of visual tools in general and ARtechnology in particular, in learning.Evidence of effectiveness of visual tools for learning. Based on theories of visual awareness[1], one way to involve the higher cortical areas of the brain needed for learning, is throughdirecting attention to an image. Directed attention is key in this process. While watching animage or video in passing does stimulate the visual cortex, without directed attention, it will notstimulate the higher cortical areas. This is the reason why watching an educational video whilebeing engaged in other activities at the same time usually doesn’t lead to deep learning.However, directing
generate specialized courses tied to traditional and emerging energy systems, includingrenewable energy systems as well as energy resource management. Given the ubiquity of energy-focused courses on a college campus, it is convenient to use the real-live energy systems of thecampus itself to emphasize concepts learned in the class - using the campus as a livinglaboratory.A living laboratory is considered a real-world system that can be observed and manipulated bythe user to drive improvement and innovation [1, 2]. The concept first emerged within the fieldof computing and information technology. Within the University setting, the concept began tostrongly unfold in the context of sustainability education. Some of the key features of
University. Recent research has focused on 1) using writing and communication assignments to improve the teaching of engineering design and 2) developing a flexible mobile studio pedagogy using the Mobile Studio Instrumentation Board.Dr. Matthew W. Ohland, Purdue University, West Lafayette Matthew W. Ohland is Professor of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students, team assignment, peer evaluation, and active and collaborative teaching methods has been supported by the National Science Foundation and the Sloan Foundation and his team received Best Paper
Paper ID #27744Using Computer Based Simulation to Improve Learning Experience in Me-chanical Behavior of Materials ClassDr. Jing Zhang, Indiana University Purdue University - Indianapolis Dr. Jing Zhang’s research interests are broadly centered on understanding the processing-structure- property relationships in advanced ceramics and metals for optimal performance in application, and iden- tifying desirable processing routes for its manufacture. To this end, the research group employs a blend of experimental, theoretical, and numerical approaches, focusing on several areas, including: 1. Processing-Microstructure-Property
Course to Make Informed Design DecisionsAbstractIn this complete evidence-based paper, it will be shown how computer simulations can beintroduced in a freshman mechanical engineering course and how students can use computersimulations to make informed design decisions. Freshman-level engineering students may haveinsights about the workings of mechanical systems even though they may not be versed in themathematical descriptions of such systems. The motivation for this work is three-fold: (1) allowfreshman students to apply and expand their insights into mechanical systems without the needfor mathematical descriptions which they may not yet be prepared to understand; (2) exposestudents to computer simulations at an early stage of their curriculum
reducingcost can still be conducted. Students are asked to study the process and identify factors thatimpact quality and productivity with the objective of improving both.The aim of this study is to determine the impact of the proposed PBL method on processimprovement and learning. The paper will attempt to answer the following questions: (1) Can themanufacturing process be improved using the proposed method in existing labs? and (2) Willstudents learn better using at least two iterations with PDSA and design of experiments?IntroductionResearch shows that students learn better if they are engaged in, and motivated to struggle with,their own learning. For this reason, if no other, students appear to learn better if they workcooperatively in small
low spatial skills.Keywords: spatial reasoning, apps, augmented reality, engineering educationI Background Spatial visualization is the ability to mentally represent and manipulate two-dimensional(2D) and three-dimensional (3D) figures. Spatial skills are often used in STEM careers, such asthose in engineering and medicine, and have been positively correlated with increased grade pointaverages and retention in STEM-related fields, including math, engineering, computerprogramming, and science [1, 2]. Spatial visualization skills are learnable [1, 3, 4], but moststudents do not receive formal instruction in K-12 or at the university level. In addition, a particularlack of exposure to spatial visualization skills may explain why women
, with the studentnever pausing to explore or interpret the information being presented. To break this cycle, thispaper looks at the use of doodling to provide a different mode of content engagement.The use of drawing to create an alternative method for displaying and retaining information has anumber of supporters. Ainsworth et al [1] suggest that incorporating drawing into scientificeducation can produce increased engagement, improved reasoning, better organization, andbetter communication of concepts, among other benefits. Andrade [2] demonstrates thatdoodling provides a contrasting form of engagement that can increase attention and retention ofinformation. Wammes [3] suggests that drawing assists in memory tasks due to itsmultidimensional
framework contributes to students’ knowledge of how to effectively learn in STEMcourses in addition to sharpening metacognitive processes. A mixed methods approach will beutilized to analyze student learning gains by quantifying exam grades as well as qualitativelyexamining students’ self-reported responses through reflections, exam wrapper survey results,and documentation of changed study behaviors.IntroductionOur 2018 ASEE paper “Work in Progress: Strategic, Translational Retention Initiatives toPromote Engineering Success” [1] described a pilot program designed to leverage existinguniversity resources to support successful course and program outcomes for first-year studentsentering general engineering with weak calculus skills. The General
prototyping,microcontroller projects, 3D printing, laser cutting, and CAD. In 2018, the Makerspace sectionwas offered as an option out of ten sections at the Summer STEM program and differed fromprevious iterations of the curriculum because of the additional emphasis of Human CenteredDesign (HCD) to guide each student team’s design process. There are three primary goals in thisdocument to evaluate the 2018 Makerspace: 1) identifying how the curriculum fits withinexisting pedagogy, 2) depicting the organizational and teaching methods and 3) analyzing surveymethodology and responses to suggest trends and potential improvements.Background/Literature ReviewThe 2018 Makerspace section combined various design processes to reinforce the Project
present all along from ideationto execution every step of the way? There might not be a right answer to all these questions but if this entitycalled “creativity” is removed from the process, there is a strong belief that these ingenious designs mightnot exist. Philosophers such as V.S. Bibler and V.M. Rosin [1] considered cognition as an act of creativity,whereas N.M Berdyaev [2] considered creativity as freedom. The concept of creativity itself has beenwidely studied in psychology and in engineering education ([3], [4], [5], [6]) but it has not beensatisfactorily defined [7]. Without a clear definition of creativity, it is hard to make a tangible connectionthe creativity plays in engineering. However, Kazerounian and Foley [8
development of additionallearning activities as the need arises. A detailed curriculum map using Bloom’s taxonomy for thecognitive domain is presented for both the classroom and lab environment. This curriculum mapis linked to learning outcomes for the course.IntroductionThe impetus for this research came from papers by Behrens et al. [1], [2] which suggested thatLEGO® Mindstorms robots coupled with the MATLAB programming language could be used inundergraduate courses in electrical engineering to motivate students using “practical situations”driven by “active learning” activities. The activities proposed by those authors were disciplinespecific to electrical engineering and design, but their results motivated us to consider a similaridea for a more
in the last three categories (i.e., M, DS, and E)was statistically significant.1. BackgroundEngineers working in design and manufacturing fields often confront challenges not because of alack of technical ability, but rather due to a lack of professional skills. One such important skill ismetacognitive understanding of their own and their team's problem-solving abilities.Metacognition is the process of “thinking about thinking” such that individuals learn methods tounderstand the way that they learn, what they are lacking in their current learning strategies, andhow to improve. Metacognition includes monitoring and control activities and it is a pre-requisiteto any problem solving because it affects critical thinking, creativity, and
-on laboratory experiences designed tointroduce them to a breadth of engineering disciplines, improve their technical communicationskills, and allow them to practice effective teamworking. The class employs an invertedclassroom approach to increase student engagement with the content and instructional staff [1].In the second semester, students learn hand-drawn and computer-aided design (CAD) graphics,and they participate in a large cornerstone design project.The most popular of the second-semester cornerstone design projects is the robotics project. Thisrobot project has many components which have been developed over the years [2]. Teams offour students are tasked to design, build, program, wire, budget, and document an autonomousrobotic
represented about five percent of all first-degree-seeking, first-year engineeringstudents. Of the 28 students who completed the EGR_Math course, approximately 4% had aninternational country of origin and 36% were women. In addition, roughly 67% were White,11% were Hispanic, 11% were Black and 7% were of an unknown race/ethnicity. As of Fall2017, undergraduate students from the Southeastern campus were 13% international students and22% female. Moreover, 56% were White, 7% Hispanic, 7% were multi-racial, 5% Asian, and 5%Black. See below for Figures 1-2. Students' Race/Ethnicity in EGR_Math White 67% Hispanic 11% Black
structure (passage width, exit placements, obstacles) but also on the crowd’s behavior(speed, exit information, time to react). As such, it becomes important to have a model, which cansimulate the process correctly and analyze the performance of evacuations in a specific buildingfor various types of occupants. Many methods are used for building occupancy simulation, out of which agent-based is popularfor the system in which there is high interaction in its components, and it is necessary to model it.There is an agent who represents an occupant, and the dynamic process of occupants is simulatedrepeatedly over time to generate the complex and intriguing emergent behavior [1]. The agent-based model works at a detailed level with a focus on agent’s
Heat TransferAbstractMajor chemical engineering concepts such as rate versus the amount of heat transferred andthermal radiation, can be difficult for undergraduates to understand. This can be due to priorknowledge built on what have been characterized as misconceptions [1]. Misconceptions aboutcircumstances affecting the rate and amount of heat transferred have been observed inengineering students [2], [3]. Misconceptions about thermal radiation have also beendocumented [4], [2], [3]. Previous research has found that one way to facilitate conceptualunderstanding and alter misconceptions is with inquiry-based activities. However, there can bediffering outcomes based on their method of implementation. This quasi-experimental studycompared the
courses. A discussion of the systemand how it facilitates near-immediate feedback and supports flipped classrooms orspecifications-based grading schemes concludes the paper.BackgroundCreating and using formative assessments effectively in undergraduate courses can be difficult. Itis also recognized as essential to the learning process. It is through the process of attempting anactivity, receiving feedback, evaluating our attempt, and re-attempting that we learn. As anexample, the 2016 video game The Witness used rapid feedback to teach players how to solveincreasingly complex puzzles using nothing more than a ‘pass’ or ‘fail’ response [1], [2]. Thegame’s culmination was a final timed section that involved solving several different archetypes
of locating, discovering, and studying local, state, and federal regulations/codes. The curriculum is integrated with laboratory exercises that emphasize blueprint reading, quantity takeoff and learning software packages used in cost estimating and project scheduling and controls.”Table 1 summarizes major course parameters that may affect student engagement and learningfor falls 2017 and 2018. Except not using poll (2017) and using poll (2018), both semesters weresimilar for most of the parameters. The course content consisted of three parts: (i) projectmanagement concepts and cost estimating; (ii) project financial evaluation; and (iii) projectscheduling and controls. As the summative assessments of these three parts, three
how such recycled modules andbatteries might be used for viable energy storage systems in the future is proposed. Lastly,student feedback regarding their experience, knowledge gained, and the benefits they received inparticipating in this project are documented.Introduction:Lawrence Technological University (LTU or Lawrence Tech) has offered an alternative energyengineering program since 2003, and has been documented previously [1]. The faculty-author ofthis paper is the director of that program, and has been since its inception. Due to the high levelof student interest, there is always an on-going desire to find appropriate renewable energyprojects for students to take on and to participate in for the program. Lawrence Tech also facesthe