Communication(BCOM) course work in teams on a hypothetical Corporate Social Responsibility (CSR) project.Students identify a social need in their community and develop a plan to address the problem.Teams also identify companies that could be interested in funding the project. While the projectis hypothetical, it mirrors actual CSR efforts undertaken by organizations to enhance theirreputations and images.As papers presented at recent ASEE conferences show [1], engineering students, just likebusiness students and students from nearly any major, need to develop professionalcommunication skills. To address this need, a partnership between the engineering and businessschools has made it possible for the engineering students to receive specialized training
thus embraces, both Instructivism and Constructivism.Their achievement in the design process is assessed by a written examination. The students ineach group, after learning the methods through lectures, apply the conceptual design methodby doing their project for the workshop, using a specified design method. They learn othermethods by seeing and studying their peers’ designs which were conceptualized using otherdifferent methods. Figure 1 shows the schematic of the pedagogical model. Instructivism: Lectures with simple examples, seminars and quizzes Constructivism: with suitable tasks to build the knowledge
the project timeline. Finally, a designated project manager ismost successful in uniting the team with a mental representation of the project and increasing thelikelihood for project success. The results give insight into the behaviours of student capstoneteams and could further direct the design of project management instruction in capstone projectcourses in order to better equip students for success.1. Introduction All senior Canadian engineering students must complete a team-based capstone designproject in accordance with accreditation requirements [1]. Typically, these projects span the 8months of the students’ final year of undergraduate studies. In their teams, students share theresponsibilities of all design-related and
complexity and scale of the types of problems engineers solve[1]. Students’capability of working effectively in engineering teams is cognizant among employers in industrywho seek to hire new talent into their organizations [2]–[4]. One of the Accreditation Board forEngineering and Technology (ABET) student outcome criteria is to have the ability to functioneffectively in high performing teams. This requires universities to better prepare students withteamwork skills and to incorporate teamwork as an important part of engineering curriculum [5]In today’s world of engineering, companies are shifting towards working in larger team sizes dueto the complexity of solving engineering problems [6]–[8]. Engineering programs need to findways to effectively
futureresearch. Lastly, unexpected component inclusions/exclusions are discussed as a final point ofinterest. This work serves as a first step towards validation of this new mental model elicitationmethod and the related scoring rubrics and is a contribution to ongoing research on mentalmodels of engineering systems. As we continue to explore how students learn about engineering,it is important that educators and researchers have a way to reliably measure studentunderstanding of various systems during their undergraduate and graduate degree programs.1. IntroductionAll of us have mental models of the world around us. These mental models help us understandhow things work, where things are, and what things do. However, we each have unique mentalmodels
studyfindings. As a result, need finding has been implemented into course curriculum. Future workcan determine if the effects of need finding interventions improved overall capstone projectquality. The results of this project will aid in the design of future interventions and engineeringteaching practices.1. Introduction As mandated by requirements put forth by the Canadian Engineering Accreditation Board[1], all Canadian engineering students participate in a capstone design project in their fourthyear. One predictor of the quality of the capstone project is in identifying a “good” problem toaddress in the design. Most models of the design cycle prescribe needs assessment to be the firststage. While engineering students work on design problems
solving has becomeincreasingly common in engineering courses [1]. Research has established the efficacy of ill-structured tasks for providing students with collaborative design experience authentic to industry[2], [3]. However, research on effective ill-structured task design in the context of undergraduategroup problem solving is relatively limited. Studies have explored how to design and constructill-structured tasks that effectively engage students and promote higher learning outcomes andgroup collaboration [4], [5], [6], but these tasks have primarily been limited to two-dimensionalrepresentations that lack opportunity for students to realize their design implications in thephysical world. Transformative learning theory asserts that cognitive
different teams collected ethnographic andautoethnographic data in the form of field notes to explore how students learn across a variety ofprojects that vary in their scope, type, and team composition. This paper aims to explain theimpacts that role rigidity and project management style have on the design process and discussthe factors that influence the types of learning occurring in capstone teams. Data suggest thatproject scope, role rigidity, and the level of ambiguity in the project impact the learningprocesses employed by different teams, and the skills that team members developed.1 IntroductionThis work in progress study uses ethnographic and collaborative autoethnographic methods totrack four different undergraduate engineering capstone
project. This paper presents the redesigned labs and courseproject.Laboratory exercisesFive laboratory exercises were completed before the students attempted the course project. Mostof these laboratory exercises create the building blocks for the course project.Lab 1: Basic LabVIEW trainingIn this lab, students first follow the self-paced training material posted on the NI website11 to gothrough eight of the nine modules of Learn LabVIEW: LabVIEW Environment, Loops andExecution Structures, Data Types and Structures, Graphical Programming, Programming Tools,Debugging and Handling Errors, MathScript and Text-Based Programming, and Help WithinLabVIEW. Module 8 (Signal Processing) was skipped since this lab was the first lab of thesemester and
variable consisting of twogroups, while the engineering concept knowledge of Statics, along with the subjective cognitiveload scores will serve as the dependent variables to be measured using multivariate analysis ofvariance (MANOVA).Pre-testStudents will first complete a pre-test to identify their baseline Statics knowledge regarding trussanalysis and the method of sections. Figure 1 shows an example of a sample pre-test questionwhere students will be asked to solve for internal forces of truss members using the method ofsections.Figure 1. Pre-test sample question.1 Reprinted from Vector Mechanics for Engineers: Statics & Dynamics, (p.320), F., Beer et al, 2016, McGraw-Hill Education.Group 1: Partially
basicfriction problems. Figure 1 shows an example of a sample pre-test question where students willbe asked to solve for unknown external forces acting on an object involving friction.Figure 1. Pre-test sample question.1 Reprinted from Vector Mechanics for Engineers: Statics & Dynamics, (p.442), F., Beer et al, 2016, McGraw-Hill Education.Group 1: Embedded-Formatting ExamplesFollowing traditional instruction students in this group will be given a worked example that issetup using embedded-formatting, which will be used as reference material to solve a similar in-class problem. At the end of class students will be given a homework assignment, where theywill be provided another worked example utilizing embedded
, electronics, and electromagnetics. These three two-course sequences are alsopart of the focus of an effort funded by the National Science Foundation whose overall goal is torevolutionize engineering education5. A team of educators has broken each of the courses into aset of five learning studio modules (LSMs). After LSMs 1-2, 3-4, and 5, respectively, in each ofthe core competency areas, a knowledge integration (KI) module is conducted to illustrate howLSM concepts from signals/systems, electronics, and electromagnetics can be applied together tosolve real-world engineering problems.This paper presents and discusses innovations in teaching and learning electromagnetics LSMsaimed at increasing the student engagement, especially as related to class pre
S&T Funding in the NewAdministration & CongressMatt HourihanFebruary 7, 2017For the ASEE Public Policy ColloquiumAAAS R&D Budget and Policy Programhttp://www.aaas.org/program/rd-budget-and-policy-program Copyright © 2015 American Association for the Advancement of Science 8/26/15 1 Limits on Discretionary Spending Since FY 2010 billions of constant 2016 dollars $1,250 $1,200 $1,150 $1,100 $1,050 $1,000 $950 BCA: Initial Pre-Sequestration Baseline BCA: Sequestration Baseline Actual Base Budget
and the successful execution of a world-class engineering designproject. This ensures that faculty-developed design projects are of an appropriate scope and contextin order to provide proper scaffolding to support the six individual educational modules. This paperdemonstrates how such a framework can be applied to both create new projects for the course, aswell as redesign existing projects to better meet course goals and incorporate module content.1. MOTIVATION AND BACKGROUND Introduction to Engineering Design (EDSGN 100) acts as the cornerstone engineering coursefor over 3800 students across Penn State’s numerous campuses each year. This includes studentsfrom almost all engineering disciplines offered at 20 Penn State campuses. Each
-centered learning experience that emphasizes faith, leadership,inclusiveness, and social responsibility. For example, the St. Joseph House of Faith in Action is anew residential volunteer-supported construction which will eventually be a home base forvolunteering and connecting in the community. A recent study found that a clear majority of studentswere willing to volunteer for weekend community service projects post-graduation [1]. A smallermajority were even willing to forgo some salary as a professional engineer working at a companyknown for its support of community activism.Engineering FYS students lean on their background and/or inclination in engineering design andconstruction to help carry out their particular service project. In past years
differentenvironments, cultures and other phenomena, which may or may not be easily understood oraccepted. Reflection is a form of mental processing, according to Moon [1], which can bedirected at a specific outcome, such as building knowledge of a different culture in order torespond with intercultural competency [2]. Participants also develop meaning by comparingtheir new experiences to prior ones, and recognize that other ways of life are no less worthwhilethan their own. This last realization arises from reflection, according to Kember, McKay,Sinclair and Wong, who considered reflection as a re-examination of beliefs [3].Moon proposed a framework for reflection consisting of four stages, from descriptive to highlyreflective writing, where the final stage
Engineering Students: Determining Educational ImpactIntroductionEvery day the worlds of business and engineering become more interconnected and interdependentdue to advancements in technology regarding communication and transportation. This hasproposed a need for engineering graduates to achieve a reasonably high level of “globalpreparedness,” which has been recognized and promoted by both the professional and educationalengineering communities in conferences, national reports and publications.1 The NationalAcademy of Engineering (NAE), the National Science Foundation (NSF), and the NationalResearch Council (NRC) have each challenged universities to graduate students who are globallyprepared or have a global perspective.2-4 Engineering educators and
improvement in engineering education, conceptual change and development in engineering students, and change in fac- ulty beliefs about teaching and learning. He serves as the Publications Chair for the ASEE Educational Research and Methods Division. c American Society for Engineering Education, 2017 Students’ Conception and Application of Mechanical Equilibrium Through Their Sketches1. Introduction and Relevant LiteratureSketching is central to engineering practice, especially design[1]–[4]. When constructingsketches, a student/engineer must synthesize various pieces of knowledge and reasoning into anideally self-consistent graph or set of graphs. University educators have
college students work 20 to 30 hours perweek with only 1 of the students not having any part-time position. Seven of these students saidthat they had participated or were participating in a flipped course. All of the students were partof a flipped coursed that was implemented similar to the course of reference.15The first analysis was with respect to the flipped courses. All survey questions can be seen inAppendix A and the students were instructed to mark all of the answers that apply. Thequestions asked were, when do you typically view the online flipped notes and when do you readthe textbook for the flipped course? The available survey response answers were: never, beforethe assigned class, after the assigned class, before starting homework
to render abstract concepts in graphical representations and extractcorrect spatial information from the structures’ drawings. Spatial ability is defined as theprocesses of constructing, maintaining, and manipulating three-dimensional (3D) objects inone’s mind [1, 2, 3] and considered to have multiple subfactors [4, 5] such as spatialvisualization, spatial orientation, and speed rotation [6]. Research studies that discussed theroles of spatial ability in engineering education have primarily focused on the spatialvisualization, which is the main factor of spatial ability [7]. Some widely used spatialvisualization tests in engineering education [8, 9, 10] include the Purdue Spatial VisualizationTest: Rotations (PSVT: R) [11], the Vandenberg
recommendations to update the textbook everysemester. Now in its 11th edition,1 the textbook is significantly easier to read, has far fewertypographical errors, and includes new material the students requested. This paper discusses theprocess of continual improvement and the effects the textbook has had on student success overthe 5 years of its use.IntroductionWithin the last half century, Continual Improvement Processes (CIP) have become part of theculture in manufacturing and service industries. A key part of Kaizen and other CIP methods isto solicit and implement ideas from the employees, rather than from costly outside consultants.2Involving and empowering employees can reinforce a sense of teamwork and improve employeemorale, leading to higher
andconversion, antenna analysis and design with the concepts of bandwidth of digital signals, analog todigital conversion, multiplexing of digital signals, coding, digital modulation, and multiple-accesscommunication techniques.The proposed course emphasizes on design and simulation of digital transmitter and receiver en-gines, which is shown in Figure 1. This approach is very different than the two papers in referencesection[1][2][5][6]. The course brings on the modern digital techniques of packet communication, theover-the-Internet communication and Internet of Things (IoT). The course culminates with a termproject wherein the students select their own topics to build which exposes them to componentavailability and new techniques beyond the
observations regarding the development ofstudents’ design competency as well as the success and limitations of Funskill are deliberated.This work is part of ongoing research that explores how various instructional tools impactengineering students’ systems thinking tendencies and design skills.1. IntroductionAs the complexity of the infrastructure, consumer electronics, and virtually all other engineeredsystems increases, so too, does the need for engineering programs to graduate engineers anddesigners capable of tackling the complex design problems associated with these increasinglyintricate systems. Effective design is something that novice engineers and engineering studentshave routinely struggled with in the absence of explicit education or
Engineering Departments project. She was selected as a National Academy of Education / Spencer Postdoctoral Fellow and a 2018 NSF CAREER awardee in engineering education research. Dr. Svihla studies learning in authentic, real world conditions; this includes a two-strand research program fo- cused on (1) authentic assessment, often aided by interactive technology, and (2) design learning, in which she studies engineers designing devices, scientists designing investigations, teachers designing learning experiences and students designing to learn. c American Society for Engineering Education, 2020 Automating Detection of Framing Agency in Design Team TalkAbstractThose who teach design contend
survey, student’s feedback at the end of the class,and instructor’s self-assessment.I. INTRODUCTIONTo control a system in order to get a desired performance has been the longest desire of engineersand planners. The control requirements may be of different kinds: a) to stabilize an unstable system,b) to change the state of a system from one to another, C) to track the output of a system to a knownvariable, and d) to regulate the performance of a system in the face of variable inputs, loading ofoutput, disturbances and external noise. The list is endless depending on the type of application.Learning to control a system requires learning and developing a repertoire of tools for 1. Modeling of systems, 2. Actuation, sensing and transducing 3
assignmentassigned for that week. These problem sets were comprised of problems from the class textbook9or modeling problems created by the professor and executed in Microsoft Excel or MatLab. Thesampling of what was recorded was determined by the problems the students decided to work ontogether in the group. Some recorded sessions begin with students having started the problems inthe problem set while others work on all four problems from start to finish together. While this isnot ideal for research purposes, it captures the authentic ways in which students work and doesnot require them to do anything out of the ordinary as a participant in this study.Table 1: Overview of Data Corpus Group Assignments
transmitterand receiver may be placed on push carts, while for higher mobility they may be placed onuniversity owned golf carts moving at faster speeds on the designated campus routes.Furthermore, mobile transmitters and receivers may also be placed in cars driving on the campusstreets and through the university parking lots/garages to enable experiments simulating vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications.2. IntroductionOver the past 20 years software defined radio (SDR) platforms have become increasinglyconsidered by researchers and educators alike due to their flexibility, reusable hardware forvarious set-ups, open source software, short design cycle and accessibility 1. Hardware prices arewithin the budget of any
research 1. Its questions are tailored to identify students’ implicit assumptions in aspecific field and may be applied both pre- and post-instruction. There is no currently existing CIfor networking and telecommunications. Our initial results seem to suggest that the developmentof a CI for this field would be very useful. However, we would like this CI to be applicable to adiverse set of students, with respect to both their culture and their educational level(undergraduate and graduate). At the moment, the development of such a CI is still in an earlystage.In summary, this study expands the breadth of knowledge on student preconceptions in STEMby including the subject of QoS in telecommunications, identifying some of thepreconception(s
order to stimulate and motivate students to master thematerial, which proved to be very successful. It has been observed that new approach improvedthe final scores in the course as well as student satisfaction with this approach of presentingmaterial as well as testing their understanding of the required material. The paper presentsresults from two years of teaching the course with the current approach, along with lessonslearned from this experience.IntroductionTeaching/learning process is an age long human activity of passing knowledge from person toperson [1]. The process has experienced progressive transformation over time as people wereobtaining deeper understanding of the cognitive science [2] and were provided with diverse toolsto perform
PROJECTSAmy E. Trauth, PhD1; H. Gail Headley, PhD1, Sarah Grajeda, PhD1; Dustyn Roberts, PhD3; Jenni M. Buckley, PhD2 1 University of Delaware, College of Education and Human Development 2 University of Delaware, College of Engineering 3 University of Pennsylvania, College of EngineeringIntroductionTeam-based projects are widely used in engineering courses, particularly product or processdesign courses in disciplines such as mechanical, chemical, civil, and biomedical engineering[1]-[6]. While the intention of team-based design projects is to provide all students with adiversity of technical and non-technical