Testing Jigsaw Learning In a Freshman Laboratory CourseAbstract:In Jigsaw Learning,1 a peer-to-peer teaching method developed by Elliot Aronson and hiscolleagues, every student in the class is placed in 2 sequential groups – an “expert” group tolearn a section of a course topic (a jigsaw puzzle piece) and a jigsaw puzzle group where theyjoin with different course topic “experts” to share and learn from each other,– thus completingthe course topic as a whole in a group (the completed jigsaw puzzle). The class is then tested onthe complete course topic. In prior research2, which was part of a Students First grant to improvestudent retention, the author tested Jigsaw Learning against traditional individual studenttraditional
Teaching structural art: a multi-institution collaboration Sanjay R. Arwade1, Vicki V. May2, Benjamin W. Schafer3, Stephen G. Buonopane4, George Deodatis5A group of five professors are collaborating on educating broad constituencies of students at five institutions (JohnsHopkins, Columbia, Dartmouth, Bucknell, and UMass, Amherst) in the traditions, ideas, and practice of structuralart. David P. Billington has defined structural art as that subset of structural engineering design that achievesgreatness in efficiency, economy, and elegance. These efforts build upon the course “Structures and the UrbanEnvironment”, long a part of the curriculum at Princeton
Screaming the process and how Implementing a Theme on a to facilitate and Session B STEM Lab budget Continuing guide the intrinsic 1:35-2:30 (combined with (Combined with Momentum factor needed Materials) Fundraising and amongst students Materials
AC 2012-4732: ONLINE DELIVERY OF ELECTRICAL ENGINEERINGLABORATORY COURSESDr. Yacob Astatke, Morgan State University Yacob Astatke completed both his doctorate of rngineering and B.S.E.E. degrees from Morgan State University (MSU) and his M.S.E.E. from Johns Hopkins University. He has been a full-time faculty member in the Electrical and Computer Engineering (ECE) Department at MSU since Aug. 1994 and currently serves as the Associate Chair for Undergraduate Studies. He teaches courses in both analog and digital electronic circuit design and instrumentation. Dr. Astatke has more than 10 years of experience in the development and delivery of synchronous and asynchronous web-based ECE courses in the USA and abroad
AC 2012-3293: PROJECT-BASED LEARNING FOR A CLASS ON MANUFACTURER-DISTRIBUTOR RELATIONSHIPSDr. Malini Natarajarathinam, Texas A&M UniversityMr. Norm Clark, Texas A&M University Page 25.1082.1 c American Society for Engineering Education, 2012 PROJECT BASED LEARNING FOR A CLASS ON MANUFACTURER-DISTRIBUTOR RELATIONSHIPSIntroduction In today’s world where students have grown up in the Internet age, “relationships” and“being connected” have taken on different meanings from the past. In businesses, especially inBusiness to Business (B2B) scenarios, strategic relationships are very significant. So
AC 2012-3991: CREATING PARTNERSHIPS BETWEEN YOUR UNIVER-SITY AND COMMUNITY-BASED OUT-OF-SCHOOL TIME PROGRAMSTO IMPROVE THE STEM PIPELINEDr. Barbara A. Christie, Loyola Marymount University Barbara A. Christie is the Founding Director of the Science and Engineering Community Outreach pro- gram at Loyola Marymount University. Page 25.358.1 c American Society for Engineering Education, 2012Creating Partnerships Between Your University and Community-Based Out-of School Time Programs to Improve the STEM Pipeline AbstractIn 2001, after receiving seed money from the
AC 2012-3434: E-CLOCK: A WIKI-BASED OUTREACH AND RECRUIT-MENT TOOLDr. Joseph A. Morgan, Texas A&M University Joseph A. Morgan is a Full Professor in the Electronics Engineering Technology program at Texas A&M University. He is a registered Professional Engineer in the state of Texas. His major areas of interest include wireless networking and embedded microcontroller-based data acquisition, instrumentation and control systems. Morgan has also served as Director of engineering and as a Senior Consultant to the private sector where he has been involved in several design, development and system integration projects sponsored by the FAA, USAF, and major airport authorities. As a Texas A&M faculty member, he
AC 2012-3584: A FACULTY ADVISER’S PERSPECTIVE ON DEVELOP-ING AN SAE BAJA PROGRAMDr. Robert A. Marlor, Northern Michigan University Robert Marlor is an Associate Professor in the Engineering Technology Department at Northern Michigan University. He received a Ph.D. in civil-structural engineering from Michigan Technological University n 2003. He is the Faculty Adviser for the NMU SAE Baja team. His research interests include load duration behavior of wood connections, project-based learning in engineering mechanics, and teaching design through SAE Student Design Competitions. Page 25.42.1
AC 2012-4371: PRACTITIONER PANELDr. Sharon A. Jones, University of Portland Page 25.1052.1 c American Society for Engineering Education, 2012 Environmental Engineering Practitioner Panel ASEE 2012 Annual Conference Environmental Engineering Division San Antonio, TX June, 2012Panel Name: Educational Preparation of Environmental Engineering Students forProfessional LifeThe panel consists of four highly-placed environmental engineers representing theconsulting and regulatory communities. They
AC 2012-4041: TECHNOLOGY IMPACT: FROM UTOPIA TO WASTE-LANDDr. Robert A. Heard, Carnegie Mellon University Robert Heard is Associate Teaching Professor in the Department of Materials Science and Engineering. Past experience includes 17 years in industry and the past seven years teaching at Carnegie Mellon with particular emphasis on the engineering-based courses, including materials selection and capstone design courses. Page 25.1268.1 c American Society for Engineering Education, 2012 Technology Impact – From Utopia to WastelandAbstract A course entitled
Student Journaling/Documentation and Problem Solving Enhancement Raenita A. Fenner* and Suzanne Keilson Department of Engineering Loyola University Maryland, Baltimore, MD, 21210Development of personal problem solving skills is an important milestone inthe development of an engineer. The development of problem solving skillsmay even be more essential for electrical engineers who often study abstractconcepts which must be studied via inference from measurement. Additionally,there are many topics in the electrical engineering curriculum which requirea level of intuition which is gained over time with practice. Examples ofsuch topics are linear circuit analysis
Student Journaling/Documentation and Problem Solving Enhancement Raenita A. Fenner* and Suzanne Keilson Department of Engineering Loyola University Maryland, Baltimore, MD, 21210Development of personal problem solving skills is an important milestone inthe development of an engineer. The development of problem solving skillsmay even be more essential for electrical engineers who often study abstractconcepts which must be studied via inference from measurement. Additionally,there are many topics in the electrical engineering curriculum which requirea level of intuition which is gained over time with practice. Examples ofsuch topics are linear circuit analysis
AC 2012-3982: INTRODUCING FACULTY RESEARCH TO UNDERGRAD-UATE ENGINEERING STUDENTS: ENHANCING ACTIVE COOPERA-TIVE LEARNINGDr. Nina Robson, Texas A&M University Nina Robson is currently an Adjunct Assistant Professor in the Engineering Technology and Industrial Distribution Department at Texas A&M University and an Assistant Researcher in the Mechanical and Aerospace Engineering Department at the University of California, Irvine.Dr. Joseph A. Morgan, Texas A&M University Joseph A. Morgan has more than 20 years of military and industry experience in electronics and telecom- munications systems engineering. He joined the Engineering Technology and Industrial Distribution De- partment in 1989 and has served
AC 2012-4854: MECHANIX: THE DEVELOPMENT OF A SKETCH RECOG-NITION TRUSS TUTORING SYSTEMMs. Olufunmilola Atilola, Texas A&M University Olufunmilola Atilola is currently a doctoral student in the department of mechanical engineering at Texas A&M University. She obtained her master’s degree from the University of South Carolina, Columbia and her bachelor’s degree from Georgia Institute of Technology, both in mechanical engineering. At Texas A&M, her research areas include representations in engineering design and innovations in engineering education.Ms. Cheryl OstermanFrancisco Vides, Texas A&M University Francisco Vides is a Graduate Researcher at the Sketch Recognition Lab at Texas A&M University
AC 2012-3927: ASSESSING AN ADAPTIVE EXPERTISE INSTRUMENTIN COMPUTER-AIDED DESIGN (CAD) COURSES AT TWO CAMPUSESDr. Michael Johnson, Texas A&M University Michael D. Johnson is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University. Prior to joining the faculty at Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minn. He received his B.S. in mechanical engineering from Michigan State University and his M.S. and Ph.D. from the Massachusetts Institute of Technology. Johnson’s research focuses on design tools; specifically, the cost modeling and analysis of product development and
AC 2012-4935: AUTOMATIC IDENTIFICATION OF STUDENT MISCON-CEPTIONS AND ERRORS FOR TRUSS ANALYSISMs. Olufunmilola Atilola, Texas A&M UniversityFrancisco Vides, Texas A&M University Francisco Vides is a Graduate Researcher at the Sketch Recognition Lab at Texas A&M University. He received a double major from Los Andes University in Bogota, Colombia, in electrical engineering and computer science. He is now finishing his master’s degree in computer science at Texas A&M University. His research interests are in computer-human interaction (CHI), artificial intelligence (AI), computer- assisted instructional (CAI) software, and intelligent tutoring systems (ITS).Prof. Erin M. McTigue, Texas A&M UniversityDr
the learning modules are to provide the studentswith (a) an alternate insight into heat transfer concepts that are covered in a traditionalundergraduate course, including steady-state heat conduction, transient heat conduction, and heatconduction through a semi-infinite medium, (b) a basic knowledge of finite element theory, and(c) the ability to apply commercial finite element software to engineering problems involvingthermal systems. From an instructor’s point-of-view, the implementation of the learningmodules should result in minimal impact on the course content and schedule by not requiring theelimination of other content in order to make room for the learning modules. Assessment hasbeen done through the use of pre- and post-learning
Page 25.1474.3motivated” students. Secondly, the average course grade for the survey participants was a “B”, aletter grade higher than the class average of “BC”. Among survey participants, 86 scored acourse grade of “B” or above. The remaining 46 participants scored “BC” or lower. Thirdly,among the 132 participants, 68 students were asked to indicate their readiness for college physicscourses; of these 37 indicated they were “ready to take college physics” while the remaining 31indicated they were “somewhat ready”. The average course grade for these two groups differs:the “ready” group (nR=37) had a “B” average, and the “somewhat ready” group (nSR=31) had a“BC” average. Finally, most survey participants completed their college education at
of paper would have to be cut to result in a nanometer sized piece of paper.The lectures were designed to give the students a working knowledge of the propertiesand advantages of materials at the nanoscale as well as some of the synthesis strategies.Sample lesson plans are in Appendix B. The students were then given a lecture onelectrospinning and the pre-activity STEM Attitudes survey and ElectrospinningAssessment were administered. Copies of both assessments are in Appendix C.Figure 1 Electrospinning set-up used in the classrooms. a) Photograph of the K’NEX spinner. b)Photograph of the spinners connected to the HV power supply break out box. Ground wasdistributed through a second breakout box. c) Schematic diagram of the breakout boxes. d
according to certain ideas studentsexpressed. Later for each cluster, facets were organized as: (a) appropriate or acceptableunderstanding for introductory physics, (b) arising from formal instruction, but eitherovergeneralized or undergeneralized in application, or (c) more problematic and needinginstructional intervention to prevent student difficulty with the cluster or ideas in relatedclusters.7 In summary, Minstrell recommends the use of qualitative research strategies, such asopen-ended interviews, focus groups, or think-alouds, to diagnose students’ misconceptions.Fusion ModelThe Fusion Model is a statistical technique that models student response behavior by both abinary attribute (mastery or non-mastery) and a continuous attribute (mastery
adoption research. Objectives and observable outcomes are: 1. Software Support System. Develop an evaluation instrument database and user interface that support users in accessing desired instrument information and in providing feedback on instrument and system features. Achievement of this objective requires delivery of a prototype system that (a) has a web interface with appearance and functionality expected by the community, (b) enables users to easily locate desired resources, (c) instructs users in proper use and interpretation of instrument results, and (d) enables users to provide useful feedback on the instrument and system. 2. Instrument Selection and Appraisal Process. Establish an appraisal
professional andleadership skills are usually learned the hard way – through experience in the workplace as aprofessional engineer3. The importance of these attributes is also underlined by its closealignment with the skills delineated by ABET28. The skills outlined by ABET are (a) an abilityto apply knowledge of mathematics, science, and engineering; (b) an ability to design andconduct experiments, as well as to analyze and interpret data; (c) an ability to design a system,component, or process to meet desired needs within realistic constraints such as economic,environmental, social, political, ethical, health and safety, manufacturability, and sustainability;(d) an ability to function on multidisciplinary teams; (e) an ability to identify, formulate
of the Engineering Profession? ASEEAnnual Conference Proceedings. Vancouver: ASEE.13. Kazmer, D., & Johnston, S. (2008). Lions and tigers and freshmen. Proceedings of the Society of PlasticsEngineers Annual Technical Conference. SPE.14. Kazmer, D., Duffy, J., & Perna, B. (2006). Learning through service: Analysis of a first college wide service-learning course. American Society of Engineering Education Annual Conference Proceedings. ASEE.15. Kazmer, D., Duffy, J., Barrington, L., & Perna, B. (2007). Introduction to engineering through service-learning.ASME 2007 International Design Engineering Technical Conference Proceedings, IDETC/DEC-34491.16. West, C., Duffy, J., Barrington, L., & Heredia, M. (2010). Student voices
Outcomes of Interdisciplinarity in the Engineering Classroom. European Journal of Engineering Education. 2009, Vol. 34, 1, pp. 29-45.2. American Society of Civil Engineers. Home. Report Card for America's Infrastructure. [Online] 2009. http://www.infrastructurereportcard.org/.3. Roberts, Matthew W, Parker, P. J., Thompson, M. K., and Barnet, B. A. Development of an Introduction to Infrastructure Course. Proceedings of the 2011 ASEE Annual Conference. 2011. CD-ROM.4. Ferguson, Bruce K. Introduction to Stormwater: Concept, Purpose, Design. New York : John Wiley & Sons, 1998.5. Roberts, Matthew W. Using CATME to Create Student Teams and to Evaluate Team-Member Effectiveness. Proceedings of the 2008 ASEE North Midwest Sectional
followed to explain some unique aspects of selected participants.Findings from the 15 transfer/non-traditional students are contextualized in a larger qualitativestudy that included a total of 92 freshman engineering student interviews.Major Findings from the Larger Mixed-Methods StudyQuantitative survey data analysis generated significant results in two topic areas; a. studentperceptions about the required amount of work/effort to succeed in the engineer program andexpected benefits of earning an engineering degree, and b. gendered patterns in male and femalestudent social relationships during the first semester. By the end of the semester, an increased number of students indicated that they did not desire to pursue engineering as a
developers,the emphasis is on providing the knowledge they need to select and use cryptographic softwareappropriately.ProjectsThe course contains two major projects: a project case study and a programming assignment.For the case study, students will work in teams of two or three to assess the security of a large,open source software product. Students are required to select a case study that has (a) significantsecurity implications if exploited, (b) a public record of fixed vulnerabilities, and (c) publicly-available source code. The project involves incrementally submitting three parts of a paper:domain analysis, design analysis, and code analysis. As the material is covered in class, studentsanalyze their own case studies to enumerate the threats
• Workmanship • Cost3. Design process WMU participated in all previous hydraulic bicycle design competitions. The design teamfield tested the performance of previous hydraulic bicycles and identified the areas ofimprovement as (a) reduction of weight both frame and components, (b) efficiency of thehydraulic drive system, (c) ergonomics of the system and (d) drive train performance.Though Parker provided some material and monetary support, considering their design criteriaand project time span, it was decided that development of such a system based on standarddesign practices would be unrealistic. Therefore, a hybrid design process was established, whereno major components would be designed; instead, existing components available in the
should not be included, Coder 2 revised her editions and agreed on which items shouldbe removed. The second round of coding produced two new categories (C=E and AexpE, seeAppendix B) to acknowledge newly formed understanding and resolution of some of the initialdisagreements. The final total number of unsettled disagreements was 81 of a total 778 itemscoding, giving an overall agreement of 89.6%, which is considered an acceptable to high level ofinter-rater reliability70 (see Figure C2 in Appendix C).The larger team discussed the findings by the two coders, questioned interpretive decisions and Page 25.520.11provided input on critical junctions
Phase III. Page 25.819.8 Design Point a) AE Constraint Analysis b) ME Constraint Analysis Figure 2. Phase II Constraint Analyses Performed by AE and ME Design TeamsAt the end of Phase II, the students again present their results as a combined team. They werealso required to prepare an integrated formal report where both teams received the same grade.Phase III of the Design ProcessWith the Phase II results in-hand, the AE Phase III efforts focused on refining the aircraftconfiguration and layout. Based on the roles and responsibilities defined in Phase I
understanding and appreciation of fuel cells.Research Approach/StrategyAn Experimental Mechanics fuel cell project was proposed with the intention that the results beevolved into a useable undergraduate laboratory experiment for the Renewable Energy course.The course objectives for both courses had to be analyzed to determine whether this was afeasible approach. Efficiency measurement of a Polymer Electrolyte Membrane (PEM) fuel cellwas chosen for three main reasons: hydrogen fuel cell equipment is commercially produced, theprice of a fuel cell was reasonable at approximately $150.00 for readily-available hydrogen PEMfuel cells, and PEM fuel cell safety is relatively easily managed in the laboratory setting. SeeAppendix B for a listing of equipment