J Krause, Arizona State University Stephen Krause, Arizona State University Stephen J. Krause is Professor in the School of Materials in the Fulton School of Engineering at Arizona State University. He teaches in the areas of bridging engineering and education, design and selection of materials, general materials engineering, polymer science, and characterization of materials. His research interests are in innovative education in engineering and K- 12 engineering outreach. He has been working on Project Pathways, an NSF supported Math Science Partnership, in developing modules for Physics and Chemistry and also a course on Engineering Capstone Design. He has also co-developed a Materials Concept Inventory for
explore something that they find interesting about this course.” – “The freedom to do the test we wanted to do. It satisfied my curiosity.” – “This lab allows us to learn more about what we find interesting. We learn more from labs that we designed ourselves.” – “I liked that we were able to select our own project based on things that interested us, and also that we had to figure out our own procedures which allowed us to really learn what I was doing.” – “I liked the idea of planning our own lab and figuring out how to properly create samples and perform the experiment.” – “I like how we had to be responsible and complete a lab on our own.” – “Experience in using the equipment
demonstration is a powerful teaching strategy forengineering students. This style of teaching was incorporated into an engineering materialsselection course. Students realize that changing material properties play an important role inunderstanding why materials are selected for different design specifications. Engineeringstudents take courses in mechanics of material, machine design, finite element analysis andcapstone senior projects. These courses require students to call out and specify the best and leastexpensive material according to some type of chemical, physical or mechanical loadingconditions. Students should understand the way a material behaves in service depends upon itsalloy composition, crystalline structure, manufacturing process and
creative expression, and enthusiastically ready for career shaping challenges, theUniversity Honors Program can meet their needs. Students enjoy an array of academic enrichmentand co-curricular experiences that will prepare them for life beyond the baccalaureate.” As fewHonors courses are offer the students have the opportunity to earn honors credits for other selectcourses through a student faculty created contract. The section describing the activity is displayedbelow; see the appendix for a complete contract. Description of the Contract Project or Activity After consulting with the instructor, the Honors student must indicate below the additional work and/or activities that will be completed in order
the course, students will have the basic skills to plan and execute a failure310 analysis on a failed component. The final project will be a complete analysis, written report, and oral report on a broken part.Biomedical By the end of the course, students will have an understanding of materials used in theMaterials 320 medical industry and how these materials are selected and processed for making implants or surgical tools.Corrosion By the end of the course, students will understand the basic types of corrosion andControl 340 degradation which occur in common engineering materials, including metals, polymers, composites, and reinforced concrete. They will
group has to discuss their data and what theirresults mean in context of larger objectives of the lab. Since laboratories are collaborative multi-weekthemed projects, student may be at different points in their experimental process from week to week.There are rules for discourse and these are modeled for students by Teaching Assistant(TA) andInstructor. Peer students may ask only clarifying questions of the students and cannot make any othercomments. Within the speaking group, each member must speak, and groups have three minutes todiscuss their data without interruption. There is then three minutes of clarifying questions from peers. Thegoals for the discourse are to have students formulate, elaborate, analyze, evaluate and apply a
Page 14.847.5in general, and whether the resource was helpful. For Fall 2007 and Fall 2008, 144 and 211students, respectively, were directed to an online survey developed in SurveyMonkey via e-mail.Prior to this research project, 10 students from Fall 2007 and 8 students from Fall 2008 hadpreviously indicated that they did not want to receive surveys from SurveyMonkey. Because ofthis limitation, we were unable to send an email to all students enrolled in the class to direct themto the survey for this research. The response rates for the surveys were 53% (76 out of 144) and68% (143 out of 211) for Fall 2007 and Fall 2008, respectively. The quantitative analysis of ourdata was the primary objective. We report descriptive statistics and provide
States.Dr. Tanya A. Faltens, Purdue University, West Lafayette Tanya Faltens is the Educational Content Creation Manager for the Network for Computational Nanotech- nology (NCN) which created the open access nanoHUB.org cyber-platform. Her technical background is in Materials Science and Engineering (Ph.D. UCLA 2002), and she has several years’ experience in hands-on informal science education, including working at the Lawrence Hall of Science at UC Berkeley. While at Cal Poly Pomona, she taught the first year engineering course, mentored student capstone re- search projects, and introduced nanoHUB simulation tools into the undergraduate curriculum in materials science and engineering and electrical engineering courses
, as the seminal article [18] has been cited over1000 times [19]. OVITO has also begun to be used as an educational tool. For example, theUniversity of Illinois at Urbana-Champaign uses OVITO in their computational materialsscience curriculum [16]. In the activity reported here, OVITO is utilized to help studentsvisualize crystal structures and manipulate unit cells, producing images such as those shown inFigure 1, of the FCC unit cell sliced on the (110) plane.A BFigure 1. Projection view of the (110) plane in an FCC crystal structure, created and displayedusing OVITO. Atoms are scaled to be space-filling, and the unit cell outline can be displayed orhidden. Figure 1A shows a view of the (110) plane
) Biomaterials Science: AnIntroduction to Materials in Medicine and Dowling’s Mechanics of Materials books wereespecially useful references 28,29. Callister’s Fundamentals of Materials Science andEngineering text also contains a web based supplemental chapter 30 that is helpful as is theUniversity of Cambridge’s on-line Teaching and Learning Package (TLP) on the structure ofbone and implant materials 31. In fact, having the students complete this well-developed andinteractive TLP as a homework assignment or in-class project (if computers are available) is anexcellent way to introduce your students to biomedical materials and design. Dr. Pruitt’s Page
learning contexts.Dr. Tanya Faltens, Purdue University, West Lafayette Tanya Faltens is the Educational Content Creation Manager for the Network for Computational Nanotech- nology (NCN) which created the open access nanoHUB.org cyber-platform. Her technical background is in Materials Science and Engineering (Ph.D. UCLA 2002), and she has several years’ experience in hands-on informal science education, including working at the Lawrence Hall of Science at UC Berkeley. While at Cal Poly Pomona, she taught the first year engineering course, mentored student capstone re- search projects, and introduced nanoHUB simulation tools into the undergraduate curriculum in materials science and engineering and electrical engineering
largelyleft up to the students to make the connection between the levels. Similarly, we think studentswill better understand the dynamics of the macro-level by informally deriving Fick’s lawsthemselves before being shown a formal derivation. Results of this re-design will be reported infuture publication.4.4 Closing RemarksThis study reported on the first iteration of a design-based research project to develop a unit forlearning about diffusion at both the micro and macro levels using computational agent-basedmodeling representations, the traditional differential equation representations (Fick’s laws), andaccompanying graphical representations. Our findings suggest that the agent-basedrepresentation helped students understand the micro-level process