Paper ID #12517Using an Experience Design Approach to Curriculum CreationDr. Mihaela Vorvoreanu, Purdue University, West LafayetteDr. Patrick E. Connolly, Purdue University, West Lafayette Dr. Patrick Connolly is a professor and interim department head of the Department of Computer Graph- ics Technology in the College of Technology at Purdue University. He has extensive experience in the aerospace design and CAD/CAE software industries, and has been serving in higher education for almost twenty years. Dr. Connolly has a BS degree in Design and Graphics Technology and an MS in Com- puter Integrated Manufacturing from Brigham
Engineer- ing from Clarkson University, and the M.S. and Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology. He is currently Associate Professor in the Department of Mechanical Engineering at the University of Utah, and Director of the Biorobotics Lab. Page 26.194.1 c American Society for Engineering Education, 2015 An Integrated Project-Driven Course in Computer Programming for Mechanical Engineering StudentsAbstractThis paper describes the implementation of an integrated, hands-on, project-based approach toinstructing Mechanical
program for several disciplines. It has a calculus and physics pre-requisites and is typically required early in the students’ academic career. A key part ofmastering the concepts in this course is the integration of a laboratory component to demonstratereal world application of the concepts presented. The laboratory assignments typically involve abreadboard, resistors, capacitors, inductors, operational amplifiers, function generators, powersupplies, multimeters, and oscilloscopes. Due to the required laboratory assignments, there weresome challenges in transitioning from bench top lab instruments to laptop virtual instruments andthese will be discussed.The motivation for this paper was to examine the efficacy of offering an electrical
Human-Robot Interaction course for graduate students with pre-requisite skills in linearalgebra, MATLAB, Simulink, and Digital Signal Processing7. This course focused on aninvestigation on human-robot interaction and prosthetic control. There was a specific focus onadvanced man-machine interface including neural signal processing, electromyography, andmotion tracking interfaces for controlling and receiving feedback from robotic devices. Therewas an exploration of human physiology and anatomy, signal processing, intent determination,communications between the human and the device. The labs were completed by using theVirtual Integration Environment (VIE) and with robotic devices. All of the programming wascompleted in MATLAB and Simulink. The
2.0.SPIRIT 2.0 set out to capitalize upon the creativity and ingenuity of the teachers who had beensuccessfully trained in the SPIRIT project to develop an extensive middle school curriculum for Page 26.460.3teaching STEM concepts. 6 The curriculum was based upon problem-based activities with theCEENBoT™, and produced over 300 free lessons and led to a large statewide K-12 roboticsshowcase, the Nebraska Robotics Expo.7,8 The CEENBoT™ also came to replace the TekBot inthe vertical integration model in the department as well. Each entering freshman received partsto built a CEENBoT in their first CEEN course. Students owned their CEENBoT and took
demographic of student. Dues made this case, arguing that the functions andbackgrounds of two professions, drafter and analyst, have converged into the ‘modern designer’with a bachelors degree in either engineering or engineering technology.? If this is the case, thecourse itself should require some divergence from the one engineering faculty participated in asstudents.Course Overview and StructureThis paper discusses an undergraduate course in finite element analysis which was only recentlyadopted for a Bachelor of Science in Engineering (BSE) curriculum. The BSE is a practice-oriented, flexible program which includes a “core” set of required foundational courses in math,science, and engineering, but also allows students flexibility in choosing 30
produce a functional vision software system as specifiedby the course instructor.This paper introduces an educational software tool that allows the student to create theirsoftware robotic vision system. The tool consists of an integrated development environment(IDE) where the student practices with the different methods and parameters and learns whatcombination works best for their purpose. While this may appear like a common imageprocessing tool, it’s quite different in that the tool only performs the basic methods studied inthe course. This includes image histogram plots, the image threshold operation, low and high-pass Fast Fourier Transform (FFT) based filters, 3x3 mask convolution, Hit-Missmorphological transform, Hough transforms to detect
our course. Weinclude results and analysis from a student focus group, an anonymous exit survey, and includeour own observations.IntroductionIn the Fall 2011 semester when CPLDs were adopted for our introductory logic circuit course we Page 26.1252.2used an integrated approach, including the use of CAD tools and a hands-on experience with abreadboard. Our students first used discrete logic devices in two laboratory experiments and thena used CPLD module. Based on our research4 we found that in using this module, students caneasily identify the CPLD and with modest wiring they can construct circuits that they feel areboth satisfying and
. Page 26.1752.1 c American Society for Engineering Education, 2015 Work in Progress: Flatlab–An interactive learning environment for experiential learning, problem-based assessment, and dynamic instruction in engineering Peter Goldsmith peter.goldsmith@ucalgary.ca Dept. Mechanical Engineering University of CalgaryAbstractThe goal of this work in progress is to design a virtual environment that integrates experientiallearning with assessment and teaching. The proposed FLATLAB is a Focused Learning,Assessment, and Teaching Laboratory with a
Paper ID #12484Using a Computer-Supported Collaborative Learning Environment (CCLE)to Promote Knowledge Building Pedagogy in an Undergraduate Strength ofMaterials CourseProf. Borjana Mikic, Smith College Borjana Mikic is the Rosemary Bradford Hewlett 1940 Professor of Engineering and the Faculty Director of initiatives in Design Thinking and the Liberal Arts at Smith College. She is former Director of the Picker Engineering Program and of Smith’s Sherrerd Center for Teaching and Learning, as well as being a 2007 recipient of the Sherrerd Prize for Excellence in Teaching. Her current areas of research are in the
is currently an Associate Professor at the Computer Electronics and Graphics Technol- ogy Department at Central Connecticut State University. She holds a Ph.D. degree in Information Science from the University of Pittsburgh. Dr. Wu’s teaching and research interests include computer communica- tions and networks, multimedia systems, performance modeling and evaluation, and network applications. She is a member of IEEE and ASEE.Prof. Karen Coale Tracey, Central Connecticut State University Dr. Karen Coale Tracey is currently a Professor and department head for Computer Electronics & Graph- ics Technology at Central Connecticut State University. She is a recognized leader in curriculum devel- opment and
Chemical, Biological and Environmental Engi- neering at Oregon State University. As an undergraduate he studied hardware, software, and chemical engineering. He ultimately received his Ph.D. from Oregon State University in Chemical Engineering. He is currently interested in the development of technology to study and promote STEM learning.Dr. Milo Koretsky, Oregon State University Milo Koretsky is a Professor of Chemical Engineering at Oregon State University. He received his B.S. and M.S. degrees from UC San Diego and his Ph.D. from UC Berkeley, all in Chemical Engineering. He currently has research activity in areas related engineering education and is interested in integrating technology into effective educational
as it is delivered in the following iterations in thefuture classes.The developed case studies can be integrated in the curriculum either as home work assignmentsor as in-class exercises. The authors have utilized the case studies in both ways and it issuggested here that the more complex case studies should be assigned as home works whilerelatively narrow and focused case studies may be discussed as in-class exercises. It should benoted here that appropriate theoretical framework needs to be established via lectures to lay thefoundation before case studies based on the relevant topics are given to the students. In classquizzes are then utilized to assess the effectiveness of student learning where students gain thenecessary theoretical
-Based Statistics,” Proceedings of the 2003 ASEE Annual Conference, 2003.3. J. Wasserman and R. Jendrucko, “Early Introduction of Statistical Concepts in an Undergraduate BME Program,” Proceedings of the 2005 ASEE Annual Conference, 2005.4. M. E. Prudich, D. Ridgway, and V. L. Young, “Integration of Statistics throughout the Undergraduate Curriculum: Use of the Senior Chemical Engineering Unit Operations Laboratory as an End-of-Program Statistics Assessment Course,” Proceedings of the 2003 ASEE Annual Conference, 2003.5. D. Mukai and T. McDonald, “Nonparametric, Computer Intensive Statistics Course Modules for Engineers,” Proceedings of the 2009 ASEE Annual Conference, 2009.6. R. Van Til, M. Banachowski, C
Paper ID #12018A Blocks-based Visual Environment to Teach Robot-Programming to K-12StudentsMr. Raghavender Goud yadagiri, NYU Polytechnic School of Engineering Raghavender Goud Yadagiri received his B.Tech degree in Electronics and Communication Engineering from JNTUH, Hyderabad, India, in 2011. After obtaining his B.Tech he worked as an Embedded As- sociate at Thinklabs Technosolutions Pvt. Ltd for two years. He is currently pursuing a M.S degree in Electrical and Computer Engineering with specialization in Computer Engineering. Raghavender con- ducts research in the Mechatronics and Controls Laboratory at NYU Polytechnic
. He is director of an interdisciplinary lab called Learning Enhanced Watershed Assessment System (LEWAS) at VT. He received a Ph.D. in civil engineer- ing from VT. Dr. Lohani’s research interests are in the areas of computer-supported research and learning systems, hydrology, engineering education, and international collaboration. He has led several interdis- ciplinary research and curriculum reform projects, funded by the National Science Foundation (NSF), at VT. He has participated in research and curriculum development projects with ˜$4.5 million funding from external sources. He has been directing/co-directing an NSF/Research Experiences for Undergraduates (REU) Site on interdisciplinary water sciences and
organizational psychology.KeywordsVirtual teams, team effectiveness, information and communication technologies, engineeringeducation, collaborative learningIntroductionCurrent and future trends are forcing engineering schools to reconsider the role of their futuregraduates in the workforce along with the education needed for graduates to fit in that role. Mostcompanies in this new global work environment use distributed teams as an integral part of theirbusiness processes and activities. These teams often rely on information and communicationtechnologies (ICT) to collaborate from remote locations.Realizing these needs, leading engineering scholars and educators increasingly recognizeteamwork and communication skills as critical competencies required
all students into the course can view. If students are all workingon the same type of document or the same type of project, for instance, an instructor could createa video showing a ‘good’ example that would help students as they work on their ownassignment. This would allow students to see a representation of “good work” without requiringthat individual videos be created for each student. It would also be interesting to discover if thistype of feedback would help build community in online courses and strengthen the connectionbetween students at a distance and the instructor.Works Cited:[1] Norback, J. S., & Hardin, J. (2005, December). Integrating Workforce Communication Into Senior Design Tutorial. IEEE Transactions on
, simulation can enhance a student’s problem solving skills,”2 (p. 1).Within engineering education, there is a constant effort to prepare students to enter theprofessional world. With the adoption of the ABET EC2000 criteria and the a-k programoutcomes, professional skills have moved to the forefront of the engineering curricula3. Industryadvisory committee members across the curriculum suggested a real need for students to developand maintain skills important to their specialized field of study, but can be integrated withspecific business elements such as, word processing, professional writing, and budgetarymanagement. Scachitti also highlighted this multidisciplinary challenge stating, “whetherstudents find employment in manufacturing, healthcare or
determine the learning impact on students when the3D printer was introduced. This was done after teaching the same class content to all classes. Forthe second experiment, a post-attitudinal survey was given to all of the students of the classes thatused the 3D printer. This same procedure will be followed for the second year of the research.Training was an integral part of the student project as was attending different technologyworkshops provided by the Learning Environments (LE) area within the Academic Technologies(AT) department at UTEP. LE works directly with students and faculty to research and prototypetechnology in educational spaces. Furthermore, students were given a web space and training indifferent types of software (iWeb, iMovie
actually be a virus or a malicious piece of software that may affect their computeroperation. So one of the things that needs to be included in the instructions, is how to properlyvet a piece of software before installing it.In addition to operating system issues, web browsers have become an integral part of the waystudents communicate, create, and interact with faculty, classmates and course materials. Aspreviously mentioned, all university students have access to Office 365, which can be accessedby local apps, but also allows access via a browser. In addition to Office 365, the university usesBlackboard as the main content management system (CMS). So students need to rely on theirbrowsers working. Some students do not know there are multiple web
kind ofapplication is helpful for tone and prosodic training, but “segmental errors cannot be shownclearly in this kind of application.”15 Page 26.386.3Monitoring mouth-shape movement is another way to provide visual feedback to learners. Odaand Ichinose developed an application called “Lip Reading AI” in 2007.16 The system allowsusers to look at their mouth-shape movements and compare them with standard movements. Tomake the application more efficient, in 2012 Arai and Oda integrated computer graphic (CG)animation into the application.4 They created the user’s 3D face model in advance. The modelwas then used to show the standard
indicators for external evaluators, such as theAccreditation Board for Engineering and Technology (ABET), about the need to support boththe instruction and practice of professional communication3. Driven by such accreditation andworkplace demands, several institutions have embarked into establishing full scale EngineeringCommunication programs within their curriculum (e.g. University of Toronto, MercerUniversity), or have developed stand-alone courses for their students. In a few instances, such asthe case of MIT, communication instruction is embedded within the disciplinary curriculum.The key challenges in introducing communication pedagogy into an existing engineeringcurriculum are scalability and limited resources. Conventional approaches to
integrating computation into the undergraduate core curriculum. Falk also serves as the lead investigator for STEM Achievement in Baltimore Elementary Schools (SABES) an NSF funded Community Enterprise for STEM Learning partnership between JHU and Baltimore City Schools.Dr. Michael J. Reese Jr., Johns Hopkins University Page 26.744.1 c American Society for Engineering Education, 2015Exploring Undergraduate Students’ Computational Literacy in the Context of Problem SolvingAbstractThis paper evaluates undergraduate students’ performance during a problem-basedcomputational
professionalenvironment. A proper knowledge transfer is an important precondition for engineers to actcompetently and to solve different kinds of problems. However, due to the increasing numberof study paths as well as the specialization of particularly technical oriented classes, there is aneed for the integration of new media into the curriculum of most students [1]. Thus, thevisualization of educational content in order to explain theory more concrete and tangible hasgained importance. To prepare students adequately for new situations in their work life,virtual reality (VR) can be an effective instrument for learning and teaching processes. Byimitating real-world processes, professional skills can be developed, increased or maintained.Especially if the
Paper ID #13102Randomized Exams for Large STEM Courses Spread via Communities ofPracticeProf. Matthew West, University of Illinois, Urbana-Champaign Matthew West is an Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. Prior to joining Illinois he was on the faculties of the Department of Aeronautics and Astronautics at Stanford University and the Department of Mathematics at the University of California, Davis. Prof. West holds a Ph.D. in Control and Dynamical Systems from the California Institute of Technology and a B.Sc. in Pure and Applied
, computers do the actual calculations. Thus, the primaryfunctions of the engineer are to select the proper model, input the proper data, check the output,correctly interpret it, and then properly implement the solution.Math literacy plays an important role in helping students develop these skills. Engineeringinstructors employ various mathematical constructs, such as graphs, tables, equations, and charts,to describe situations and concepts. Exercises and exams employ similar constructs to presentsituations. There is the implied expectation that students comprehend these constructs. If studentsfail to answer a question correctly on a test, it is presumed they didn’t know how to solve it.However, what if the students did not understand the
framework.Dr. Deniz Eseryel, North Carolina State University Deniz Eseryel joined North Carolina State University as a Chancellor’s Faculty Excellence Program clus- ter hire in the Digital Transformation of Education. She is an Associate Professor in the Department of Curriculum, Instruction, and Counselor Education specializing in Digital Learning and Teaching. She is also a Senior Research Fellow at the Friday Institute for Educational Innovation. The important but little understood question that has motivated her program of research is: How can we effectively and ef- ficiently promote cyberlearning in complex knowledge domains such as STEM (science, technology, en- gineering and mathematics)? Towards this direction, she
Director of the Center for 3-D Visualization and Virtual Reality Applications, and Technical Director of the NASA funded MIST Space Vehicle Mission Planning Laboratory at the University of Maryland Eastern Shore. In 2010, he joined Eastern Michigan University as an Associate Dean in the College of Technology and currently is a Professor in the School of Engineer- ing Technology. He has an extensive experience in curriculum and laboratory design and development. Dr. Eydgahi has served as a member of the Board of Directors for Tau Alpha Pi, as a member of Advi- sory and Editorial boards for many International Journals in Engineering and Technology, as a member of review panel for NASA and Department of Education, as a
.References [1] J. R. Anderson. Learning and memory: An integrated approach. John Wiley and Sons, second edition, 2000. [2] A. D. Baddeley. Human Memory: Theory and Practice. Psychology Press, second edition, 1997. [3] F. B. Baker and S.-H. Kim. Item Response Theory: Parameter estimation techniques. Marcel Dekker, second edition, 2004. [4] L. Crowley and G. L. Herman. Using faculty communities to drive sustainable reform: Learning from the Strategic Instructional Initiatives Program. In ASEE 2014: Proceedings of the American Society for Engineering Education 121st Annual Conference and Exposition, 2014. Paper ID #9052. [5] J. L. Davis and T. McDonald. Online homework: Does it help or hurt in the long run? In ASEE 2014: Proceedings