Paper ID #8700Project-Based Learning in Statics: Curriculum, Student Outcomes, and On-going QuestionsDr. Rebecca A Atadero, Colorado State University Dr. Atadero is an assistant professor in the Department of Civil and Environmental Engineering at Col- orado State University. She earned her Ph.D. in Structural Engineering from the University of California, San Diego. Her research interests include inspection, management and repair of existing structures, FRP for civil engineering application and engineering education.Dr. Meena M Balgopal, Colorado State UniversityDr. Karen E Rambo-Hernandez, Colorado State UniversityMs. Anne
Paper ID #9576First Year and Junior Engineering Students’ Self-Assessment of InformationLiteracy SkillsDr. Kerrie Anna Douglas, Purdue University, West Lafayette Anna Douglas is a Post-Doctoral Research Associate at Purdue University’s Institute for P-12 Engineering Research and Learning. She received her B.A. in Psychology, M.S. Ed. in School Counseling, and her Ph.D. in Educational Psychology, with an emphasis on Research Methods and Measurement from Purdue University. Her research focuses on assessment and evaluation in engineering education.Ruth E. H. Wertz, Purdue University, West LafayetteMr. Michael Fosmire, Purdue
Paper ID #9116Characterizing and Modeling the experience of Transfer Students in Engi-neeringDr. Matthew W. Ohland, Purdue University and Central Queensland University Matthew W. Ohland is Professor of Engineering Education at Purdue University and a Professorial Re- search Fellow at Central Queensland University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineer- ing students, team assignment, peer evaluation, and active and collaborative teaching methods has been supported by over $12.8 million from the National
Paper ID #10255Intercollegiate Student Design Projects: Lessons Learned by Four Universi-tiesProf. Nassif E Rayess, University of Detroit MercyDr. Brian A Garner, Baylor University Dr. Brian A.Garner is an Associate Professor in Mechanical Engineering at Baylor University. He re- ceived his PhD in ME from the University of Texas at Austin in 1998, and joined the Baylor faculty in 2002. His research interests include computer modeling of the human musculoskeletal system, algorithms for human motion analysis, biomechanics of equine assisted therapies, and design of therapy assistance devices. His teaching includes capstone
Professional Communication, and Technical Communication Quarterly, among others.Dr. Caroline Carvill, Rose-Hulman Institute of TechnologyDr. Richard A House, Rose-Hulman Institute of Technology Richard House is Professor of English at Rose-Hulman Institute of Technology. He received a B.A. from Illinois Wesleyan University and M.A. and Ph.D. from the University of California, Irvine. In addition to engineering communication and pedagogy, he has scholarly interests in sustainability and Shakespeare.Jessica Livingston, Rose-Hulman Institute of Technology Jessica Livingston is an Associate Professor of English at Rose-Hulman Institute of Technology. She received a B.A. from The University of Georgia, an M.A. from the University of
Paper ID #8568Use of Process Oriented Guided Inquiry Learning for Introduction to Mate-rialsDr. Elliot P. Douglas, University of Florida Elliot P. Douglas is Associate Professor of Materials Science and Engineering, Dean’s Fellow for Engi- neering Education, and Distinguished Teaching Scholar at the University of Florida. He conducts research in the areas of engineering problem-solving, critical thinking, active learning, and qualitative methodolo- gies.Prof. Timothy M Raymond, Bucknell UniversityDr. Cindy Waters, North Carolina A&T State University Cindy K. Waters is an Assistant Professor in the Mechanical
Director of the ME Senior Capstone Design Program. In 1996 he began envisioning a technology company which he ultimately founded as Endres Machining Innovations, LLC (EMI) in 2004 to develop and commercialize innovative processes and tooling technologies. EMI’s industry-leading R&D efforts aim to provide substantial efficiency improvements. EMI’s focus is the machining of difficult-to-machine materials, such as titanium, nickel alloys, stainless steels, compacted-graphite iron (CGI), hardened steel, and abrasive composites, and applications like energy efficient chipping/chopping of cellulosic biomass. In 2013 a manufacturing company was formed for production of their first product line leaving EMI to focus on
Paper ID #9842Science Learning with Design, Engineering and Robotics (Curriculum Ex-change)Mike Ryan, Georgia Institute of TechnologyDr. Marion Usselman, Georgia Institute of Technology Marion Usselman is a Principal Research Scientist and Associate Director for Federal Outreach and Re- search at the Georgia Institute of Technology’s Center for Education Integrating Science, Mathematics and Computing (CEISMC). She earned her Ph.D. in Biophysics from the Johns Hopkins University and has been with CEISMC since 1996 developing and managing university-K-12 educational partnership programs. She currently leads up a team of
Paper ID #9102SMARTER Teamwork: System for Management, Assessment, Research, Train-ing, Education, and Remediation for TeamworkDr. Matthew W. Ohland, Purdue University and Central Queensland University Matthew W. Ohland is Professor of Engineering Education at Purdue University and a Professorial Re- search Fellow at Central Queensland University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineer- ing students, team assignment, peer evaluation, and active and collaborative teaching methods has been supported by over
Paper ID #9815Translational Engineering Skills Program (TESP): Training innovative, adap-tive, and competitive graduate students for the 21st century work forceDr. Elena Nicolescu Veety, North Carolina State University Elena Veety received the Ph.D. degree in electrical engineering from North Carolina State University, Raleigh, NC, in 2011. Her research focused on liquid crystal polarization gratings for tunable optical filters and telecommunications applications. Since 2011, she has been a Teaching Assistant Professor of Electrical and Computer Engineering at North Carolina State University. Currently, she is the Assistant
Paper ID #10148JTF Web-Enabled Faculty and Student Tools for More Effective Teachingand Learning Through Two-Way, Frequent Formative FeedbackProf. Stephen J Krause, Arizona State University Stephen J. Krause is professor in the Materials Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of bridging engineering and education, capstone design, and introductory materials science and engineering. His research interests include strategies for web-based teaching and learning, misconceptions and their repair, and role of formative feedback on conceptual change. He has co-developed a
identical, but some were the same forboth sections. The percentages of correct answers by students are also provided in the table. a) Identify each of the following parameters as: (A)-Extensive property, (B)-Intensive property, or (C)-Not a property. Parameter n % Correct Answers Volume, V 50 73 Heat transfer, Q 50 73 Temperature, T 50 68 Work, W 50 75 Density, 50 73 Internal Energy, U 50
. Page 24.812.4Table 2-Stakeholder and feature model for water pasteurization group STAKEHOLDERS FEATURES & ATTRIBUTES MAPPING1. Current water suppliers a. Efficiency 1. a,b,c,d,e,f,g,h,i,m,n,o2. Domestic Animals b. Hours of operation 2. g,i,o3. Entrepreneurs c. Lifetime 3. a,c,d,e,f,g,h,i,j,m,n,o4. Farmers d. Local Manufacturability 4. b,c,e,g,h,i,j,m,n,o5. Hospital staff e. Price 5. a,b,c,e,g,h,i,k,m,o6. Humanitarian organization f. Product cost 6. b,c,d,e,f,g,h,i,j,k,l,m,n,o7. Installation personnel
twenty question pre-test was administered before information fluency was introduced in classby librarians. This pre-test served as a baseline for the knowledge the students brought to thecourse. As shown in Appendix B, pre- and post-test questions included different areas ofinformation fluency. At midterm, after the information fluency had been introduced to thestudents and they had participated in both an in-library workshop and an online intellectualproperty module, the students were given the post-test which was identical to the pre-test. Paststudent participation in the post-test was minimal. This fall, 90% of the students participated inthe post test since it was a required part of the midterm. Individual section results are shown inFigure
thestudents showed essentially no interest in ME graduate research. These students were in theclass to earn the “easy credit” to gain full-time status. Additional survey questions indicated that100% of the class was planning to graduate in Spring 2013, one-third of the students wereenrolled in the department’s 5-year BS-MS program, and approximately one quarter of thestudents in the class had performed undergraduate research in the department. Page 24.533.5 A. To satisfy curiosity regarding graduate research ongoing in the ME Dept B. To fulfill the minimum of 12 credits required for full-time status
is critical to successful reform efforts.The diagnostic dimensions of the CBAM include: (a) the Stages of Concern measure, (b) theLevels of Use measure, and (c) the IC Map. The Stages of Concern measure identifies theintensity of the feelings the individual adopting the innovation is experiencing. The Levels ofUse examines how the individual is using or adopting the innovation. IC maps are a tool used tounderstand implementation of an innovation at the individual level; to understand how theinnovation looks when implemented by teachers and students.4 An IC map is a word-picture Page 24.1333.21 This material is based on work supported
block diagram of the systemis shown in Figure 1. This is composed of a) Experiment bank; b) Switching mechanism; c)Interfacing between the system and the experiment bank; d) Graphical user interface (GUI); e)Access control and user management; and f) Web application for system monitoring. Figure 1: Overall block diagram of the developed system.Experiments and InterfacingThe Experiment bank consists of all the developed experiments and is connected to the HostComputer via a switching mechanism. The switching mechanism allows one to reconfigure thehardware connection to form different experiment setups.The developed experiments deal with both the analog and digital signals. An I/O card fromNational Instruments (NI) is
to differences in student population (anecdotally,at-a-distance students have family commitments and a full-time job). Additionally, when there isnot a specific class time, students must have exceptional time management skills or they quicklyfall behind. This conclusion is supported by historical completion rates of approximately 65%. Table 2: The grade distribution of ME 101. The first column reflects the percentage of students that do not have to retake the course, students that obtained an A, B, or C. The second column contains the percentage of students that took the final exam, but must retake the course. The final column indicated the percentage of students that withdrew or stopped participating in the course prior to
lead to a group discussion of the data and possible decision options. The hands-on labtakes about 50-60 minutes of class time and involves four students working as a team. The thirdstep is a structured team discussion, reviewing the data collected and talking about differentmodels of interpretation (see Figure 3). The final step in the process is a homework assignmentthat requires students to synthesize their learning and make a choice for how they would proceedas a character in the story. Figure'3'*!Integrative!Learning!in"action!(starting!upper!left):!Trek!B"cycle!lab,!Madison! Longboard!Deck!lab,!full!class!(94!students)!participating!in!a!lab!experience!and!discussion'The scenarios incorporate
inspection the surfacce of the meetalsappearedd to show thee same type of o reaction, but b with bettter film unifformity than the powdermethod.The two sulfiding meethods (powder and vapo or) were commpatible withh the micro--scale memriistorfabricatio on. The limittation of these two meth hods was the sample sizee. In the casee of micro-sccale on, a 4-inch diameter waafer would be the standarrd size. The powder andd vapor methhodsfabricatiowere imp practical for the 4-inch diameter d waffer scale. Annother reducttion method explored waas thewet chemmical bath prrocedure. Th his method in
assessment tool cannot successfully measure allof these factors, necessitating a more refined definition of what is to be measured. From theABET criteria3, two complementary yet separate constructs are identified for further study:design ability and ethical awareness, as shown in Table 1. This paper is focused on the designability construct but will provide information on the ethical awareness construct as well. Table 1: ABET Criteria Mapping to Design Ability and Ethical Awareness Constructs3 Design Ability Ethical Awareness (a) apply knowledge (f) an understanding of professional and ethical (b) design and conduct experiments
discussion thread and can span across distinct discussion threads (See Figure 3). In this Page 24.1088.5online engineering community, communication is facilitated through four discussion sectionsthat comprise of a thread that contains messages contributed by participating users. In thefollowing sections, distinctions between A-type and B-type motifs are described and a discussionis carried out on how they can be leveraged to inform the assessment of interactions in thread-based online community. Discussion Section
the ASCEcode on structural loads.In addition to the change in the course sequence, a new grading scheme was adopted for the two Page 24.1393.2structural engineering courses. Grades are not determined based on a typical “points” system.Instead, an outcomes-based grading scheme is used in which students must demonstrate masteryof specified learning outcomes to pass the class.To illustrate how the outcomes are defined and implemented, Table 2 lists the outcomes thatwere covered on the first exam. (The full list of outcomes for the course is given in the syllabus,which is provided as Appendix A.) The letter in the outcome label (“A”, “B”, or “C
projections, section views, andauxiliary views. Figure 1(a) shows a screencast which was captured using LifeCam Studio®, theaudio illustration explains the layout of the given views and how to complete the missing topview and the corresponding isometric view. The cubes were used to construct the 3-D model tovisualize the different views and the relationship between the orthographic views and theisometric view. Figure 1(b) describes a section view sketching screencast which was created byusing Camtasia Studio® to record the hand writing on OneNote with a Samsung tablet PC and astylus pen.Figures 2 and 3 document CATIA, Camtasia Studio® was used to capture the CATIA screens todemonstrate how to create a 3D solid model. Figure 2 (a) shows how to use
assessments were assigned and submitted online using Blackboard learning manage-ment system.14 Homework assessments were designed in two parts: Part A was multiple choiceand matching type questions, and Part B was computational based questions that required studentsto apply formulas to solve engineering problems. In an effort to curb copying, the computationalbased problems were designed so that the numerical values changed with each attempt. Home-works were graded with a two part mastery score, meaning students only received credit for thehomework if they mastered each part of the assignment. Students were permitted two attemptsto achieve the necessary mastery for Part A and an unlimited number attempts were permitted toachieve mastery of Part B
tools such as MATLAB for design and analysis of control systems. To provide an overview of concepts of design and control in the time domain and control of nonlinear systems. To provide students with the ability to use modern simulation tools such as SIMULINK and LabView for design and analysis of control systems.Course and Project AssessmentsThe course is assessed using formative and summative assessments in the form of homework,quizzes, tests/finals, term project, project report and presentation. Tests, homework andquizzes will assess ABET outcomes a, b, c, h, j and k. Project/Term Paper, report andoral presentations will assess ABET outcomes d, g, i, and k. The framework based on Criterion3 of ABET [8] is outlined below
Paper ID #8913What’s stopping them? Perspectives of teaching assistants on incorporatingdiverse teaching methodsMs. Martha E. Grady, University of Illinois, Urbana-Champaign Martha E. Grady is a doctoral candidate within the department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. She holds a B. S. degree in Mechanical Engineering from the University of Central Florida and an M.S. degree in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign. She intends to finish her doctoral degree in Theoretical and Applied Mechanics in the Spring of 2014. Her
evaluator to provide technical feedback on the project while the team have theopportunity to hone their technical communication skills. Communications are limited to onlyone per significant deliverable to ensure that the role is not burdensome to either the externaltechnical evaluator or the capstone design team, and the design team is free to either accept orreject the feedback as they see fit.As of the time of publication, a thorough assessment of the technique has not yet beenconducted, as the projects have not yet been completed. However, preliminary comments, asshown in Appendix B, have been favorable.Following the completion of the 2013-2014 academic year, the effectiveness of this approachwill be accessed, with the intent of up-scaling the
., Pintrich and de Groot15), the relationship betweenvisual models and enhanced self-efficacy needs to be further investigated.MethodologyWe conducted a randomized study as follows. A problem solving session for inventorycontrol theory was designed for junior level undergraduate industrial engineering majors. Wealso conducted pre- and post- self-efficacy surveys on students’ abilities regarding thespecific domain knowledge aspects of inventory control theory.ParticipantsStudents in the class were divided randomly into 2 groups, A and B. In Group A, 44 studentscompleted the problems and in Group B, 42 students completed the problems. Both groupshad originally been designed for 45 students each, but last-minute sickness, etc., led to lessthan 100
Objectivesevolve. To complete the program of study for the BS-CS, every student will a) Demonstrate proficiency in the foundation areas of Computer Science including discrete structures, logic and the theory of algorithms. b) Demonstrate proficiency in various areas of Computer Science including data structures and algorithms, concepts of programming languages and computer systems. c) Demonstrate proficiency in problem solving and application of software engineering techniques. d) Demonstrate mastery of at least one modern programming language and proficiency in at least one other. e) Demonstrate understanding of the social and ethical concerns of the practicing computer scientist. f) Demonstrate the ability to work cooperatively in teams. g