Paper ID #14060Enhancing the STEM Curriculum Through a Multidisciplinary Approachthat Integrates Biology and Engineering: Biomaterials ModulesEthan Sclarsky, Rensselaer Polytechnic Institute Chemical Engineering undergraduate student at Rensselaer Polytechnic Institute.Tyler Marquis Cooper, Rowan UniversityDr. Johannes Strobel, Texas A&M University Dr. Johannes Strobel is Director, Educational Outreach Programs and Associate Professor, Engineering & Education at Texas A&M, College Station. He received his M.Ed. and Ph.D. in Information Science & Learning Technologies from the University of Missouri. His
Paper ID #34440An Investigation of the Benefits of Short Online Interviews in aMaterials Science CourseDr. Alison K. Polasik, The Ohio State University Alison K Polasik received a B.S.E. degree in Materials Science and Engineering from Arizona State University in 2002, and M.S. and Ph.D. degrees from The Ohio State University in 2005 and 2014, re- spectively. She has been part of the adjunct faculty at Columbus State Community College, and was a full-time lecturer at OSU from 2013 until 2015. From 2015 to 2018, she was an assistant professor of practice in the Department of Materials Science and Engineering at OSU. In
Engineering at Rochester Institute of Technology. His research experience includes materials, thin films and metrology. He directs outreach activities in the Department of Microelectronic Engineering at RIT.Thomas Schulte, Rochester Institute of Technology Tom Schulte is a science teacher at the West Irondequoit High School, Rochester, NY. He is the K-12 Outreach Coordinator for the Department of Microelectronic Engineering at Rochester Institute Technology. He brings a unique combination of engineering education, industrial experience and high school teaching.Nathaniel Kane, Rochester Institute of Technology Nate is an undergraduate student of BS program in Microelectronic Engineering. Nate has
at Purdue University. She focused on integrated STEM curriculum development as part of an NSF STEM+C grant as a Postdoctoral Research Assistant through INSPIRE in the School of Engineering Education at Purdue University Her current research interests focus on early P-12 engineering education and identity development.Dr. Alison K. Polasik, Campbell University Alison K Polasik received a B.S.E. degree in Materials Science and Engineering from Arizona State University in 2002, and M.S. and Ph.D. degrees from The Ohio State University in 2005 and 2014, re- spectively. She has been part of the adjunct faculty at Columbus State Community College, and was a full-time lecturer at OSU from 2013 until 2015. From 2015 to
research, career development activities, and community involvement (outreach)activities. These skills-training opportunities are often part of summer research programs andhave been shown to provide significant learning for the student participants [2]. Creating novelprofessional development programming was of particular benefit to our NSF-PREM (Partnershipin Research and Education in Materials) collaboration as we were able to engage an expandedaudience beyond the typical REU student cohort, to include all students affiliated with ourpartner institutions’ grants, versus selecting a handful which typically attend Penn State for thein-person experience. By creating the expanded professional development content introducedbelow and presenting it
appropriatedefinition is that a portfolio is a collection of evidence that is gathered together to show aperson’s learning journey over time and to demonstrate their abilities. This is the approach takenin the work developed in the materials science and engineering subjects to understanding andimplementing engineering concepts9. When extending the definition to the graduate experience,the portfolio is considered as a way of documenting all aspects of professional and personalgrowth when progressing through university and their career. However, not all portfolios are thesame. Recent work done in developing portfolio concepts for mathematics education, definedthree types of portfolios: showcase (which focused on the student's best and most representativework
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
concept questions to investigate technology mediated active learning in the undergraduate chemical engineering classroom. He current in- terests involve using technology to enhance educational practices in promoting conceptual understanding. He is the primary programmer of the AIChE Concept Warehouse and his current focus is on its continued development, specifically creating and integrating Interactive Virtual Labs.Dr. Cindy Waters, North Carolina A&T State University Cindy K. Waters is an Assistant Professor in the Mechanical Engineering at NCA&T State University. Page 24.273.1 She received her B.S
students’ understanding and ability to both conceptualize and integrate information,further work will include textual analysis of reports and presentations, to identify the extent towhich students using the reasoning diagram develop syntactic coherence through identifying thelogical relationship between concepts, rather than through narrating the sequential relationshipbetween actions.References1. ABET. Criteria for accrediting engineering programs. Baltimore: ABET; 2014. 27 p.2. Novak, Joseph D. Learning, Creating and Using Knowledge. New York, NY: Routledge; 1998. 316 p.3. Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M., & Norman, M. K. How Learning Works: Seven Research-Based Principles for Smart Teaching. San Francisco, CA
program. At the end of each semester, the Program Committee and theAdvisory Council hold a session to review the PEOs, they also analyze and integrate theobservations emitted by the General External Advisory Council.Student Outcomes and CompetenciesWe had to analyze the a through k ABET outcomes and map them to the 22 competencies in ourprogram, Table I. The UANL academic model11 requires a set of fifteen competencies in differentcategories which are applicable to all the bachelor programs, we considered they are of interestand we proceed to list them fully: There are eight instrumental competencies, three personal andsocial interaction competencies and four integrating competencies. The instrumentalcompetencies are: (1) Apply autonomous learning
and Individual Differences, vol. 174, p. 110673, 2021.[13] S. B. Seidel, A. L. Reggi, J. N. Schinske, L. W. Burrus, and K. D. Tanner, “Beyond the Biology: A Systematic Investigation of Noncontent Instructor Talk in an Introductory Biology Course,” CBE—Life Sciences Education, vol. 14, no. 4, pp. 1-14, 2015, Art. no. ar43.
, synthesis and applications of different materials;while the manufacturing courses are focused on the applications and principles of differenttechnologies, machines, processes and their control procedures in producing a product. The lowenrollment and retention of students in these disciplines raises concerns about the impact of thecurriculum and teaching methods being practiced in these courses. Some of the recent efforts toattract a larger student pool to these disciplines are (a) creating an awareness of the impact ofmaterials science and manufacturing in our lives, to kindergarten through K-12 students (b)inviting students to attend Open Houses where the prospective students learn more about thesecourses, the student’s involvement in the research
very high temperaturesin flight – an incorrectly designed material could undergo “grain growth” and simply break apart.The following photographs (magnified 850x) show typical results. Figure 1: Metallic sample before and after grain growth 27 Burke28 was one of the first to introduce a law to calculate grain growth and proposedthat the growth rate would be inversely proportional to the average curvature radius: R ? kt n where R is the mean grain size, t is time, k is a constant that varies with temperature, andthe theoretical value of n is 0.5. Massive computing power has made a new and promising approach possible: computersimulation of grain growth. Anderson, Srolovitz et al.29, 30 proposed the widely known
. Amanda Smith Hackler, STEM Evaluations and Educational Consulting Services, LLC Dr. Amanda Smith Hackler is an external evaluator, providing programmatic guidance through the col- lection of qualitative and quantitative data to higher education institutions, non-profit organizations, and K-12 schools. In her capacity, Dr. Hackler has served as an external evaluator for an array of both federal and foundation grants. Dr. Hackler’s research has focused specifically on providing innovative STEM opportunities for underserved and underrepresented students in an effort to improve retention in the high- tech workforce of the future. Dr. Hackler earned a bachelor’s degree and master’s degree from Texas Tech University, and a
and engineering,” Mater. Res. Soc. Symp. Proc., vol. 1320, no. September 2017, pp. 71–77, 2011.[22] K. W. Lau and P. Y. Lee, “The use of virtual reality for creating unusual environmental stimulation to motivate students to explore creative ideas,” Interact. Learn. Environ., vol. 23, no. 1, pp. 3–18, 2015.[23] W. S. Alhalabi, “Virtual reality systems enhance students’ achievements in engineering education,” Behav. Inf. Technol., vol. 35, no. 11, pp. 919–925, 2016.[24] W. K. Liou, K. K. Bhagat, and C. Y. Chang, “Beyond the Flipped Classroom: A Highly Interactive Cloud-Classroom (HIC) Embedded into Basic Materials Science Courses,” J. Sci. Educ. Technol., vol. 25, no. 3, pp. 460–473, 2016.[25] F. Liarokapis and E. F
crystal structures. These activities aid students’ visualization skills,allowing them to physically manipulate atoms rather than relying on spatial reasoning. However,these activities are limited in the types of views and planes that can be visualized, and are alsodifficult to scale to large-lecture situations. One alternative is to use the plan view, which showsspecific slices through a unit cell and provides information about crystal symmetry [5]. Thisclarifies atomic positions for students, but does not allow students to visualize any plane of theirselection.Computer-based activities can provide students with more flexibility in manipulating structures.In 1996, Foley [6] developed a computer program, CrystalVis, to teach students about
. Thebiomedical device approach seems to be more uniformly appealing, perhaps because it is easy tosee the importance of knowing about the materials in the devices since those materials directlyaffect the life and performance of the device. And, it may be because all the students come tothe class knowing something about the devices, readily the grasp design constraints, and considerthe devices important. However, the biomedical device approach did not inspire any students togo way beyond the materials selection and design work required for class in a way that themusical instrument approach did. In the musical instrument approach, a significant number ofstudents created unique instruments from interesting materials and appropriately justified the useof
processes that the materials went through to separate the different types”) and/orspecific functions within that process (e.g. “The optical laser that they use to sort the recyclingdown was interesting, and how much it helps to sort the trash beyond even what humans can do.”Or, “how the countries require a minimum amount of contamination and will not accept it if it isover the limit”).Three students also commented on their surprise at the amount of waste and processed material(e.g. “it was very impressive to see the giant pile of trash that needed to be recycled, and he [tourguide] said it was only after 5 hours of collection.”). One student left the tour curious with morequestions: “The economics of the facility were still a bit mysterious even
), founder of The Design & Entrepreneurship Network (DEN), and Division I rower. In her spare time, Bre teaches design thinking workshops for higher education faculty/administrators at the Stanford d.School, coaches a global community of learners through IDEO U, and fails miserably at cooking.Dr. Elizabeth A. Reddy, University of San Diego Elizabeth Reddy is a post-doctoral research associate at the University of San Diego’s Shiley-Marcos School of Engineering. She is a social scientist, holding a PhD in cultural anthropology from the Univer- sity of California at Irvine and an MA in Social Science from the University of Chicago. She is Co-Chair of the Committee for the Anthropology of Science, Technology and
Concepts Inventory; and a Chemistry Concept Inventory. His technical research is in nano-characterization of polymers and semiconductors. His educational research is in K-12 engineering outreach and in misconceptions and conceptual change in teaching and learning in engineering education. He is currently supported by NSF for a CCLI grant for development of Just in Time Teaching materials science modules and for IEECI grants to study the student learning trajectory and effectiveness of active learning processes in a broadly subscribed Introductory Materials Science course in engineering.Elliot Douglas, University of Florida Dr. Elliot P. Douglas is Associate Professor of Materials Science and
. Research in Science Teaching, 45(1), 79-100.3. Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand survey of mechanics test data for introductory physics courses, American Journal of Physics, 66(1), 64-74.4. Freeman, S., Eddya, S. L., McDonough, M., Michelle, K., Smith, B., Okoroafora, N., Jordta, H., and Wenderotha, M. P., (2014). Active learning increases student performance in science, engineering, and mathematics, PNAS, 111, 23-30.5. Kelly, J., Graham, A., Eller, A, Baker, D., Tasooji, A., and Krause, S. (2010). Supporting student learning, attitude, and retention through critical class reflections. 2010 ASEE Annual Conference Proceedings.6. Krause, S., Kelly, J., Triplett, J
, and chemical engineering. Bill has been involved in the development of several educational software tools including the Virtual BioReactor, the Web-based Interactive Science and Engineering (WISE) Learning Tool, and the AIChE Concept Warehouse. His dissertation is focused on technology-mediated, active learning techniques and the mechanisms through which they impact student performance.Ms. Debra Gilbuena, Oregon State University Debra Gilbuena is a Ph.D. candidate in the School of Chemical, Biological, and Environmental Engi- neering at Oregon State University. She currently has research focused on student learning in virtual
science and engineering. She is a Fellow of the American Educational Research Association and the American Asso- ciation for the Advancement of Science. In 2013 she received the Distinguished Contributions to Science Education Through Research award from NARST, This is the highest award given by this international association which focuses on research in science education K-16.Dr. Adam R Carberry, Arizona State University Dr. Adam Carberry is an assistant professor at Arizona State University in the Fulton Schools of Engi- neering Polytechnic School. He earned a B.S. in Materials Science Engineering from Alfred University, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering
industry. At the University of Illinois, Urbana-Champaign, our team at the Department ofMaterials Science and Engineering (MSE), as part of a Strategic Instructional Initiatives Program(SIIP), has integrated computation into multiple MSE undergraduate courses over the last years.This has established a stable environment for computational education in MSE undergraduatecourses through the duration of the program. To date, all MSE students are expected to havemultiple experiences of solving practical problems using computational modules beforegraduation. In addition, computer-based techniques have been integrated into course instructionthrough iClicker, lecture recording, and online homework and testing. In this paper, we seek toidentify the impact
understanding how active learning methods are usedacross the world in materials science courses. For over 25 years, we have been supportingmaterials education globally through our software GRANTA EduPack. During that time, wehave seen how teaching has evolved and the impact active learning techniques have had formaterials education. In this paper, we will be sharing how materials teaching with active learningvaries around the world and how GRANTA EduPack and its associated resources can supportthese efforts. We hope this insight gained over many years can aid those looking to adjust theirmaterials courses to include more active learning techniques.IntroductionWe as a community of educators now have an increased understanding of how people learn, andare
interpreted as equivalent to theclass as a whole having progressed 38% beyond the mean pre-test score toward a perfect score of100%. Said another way, it is equivalent to 38% of the class having achieved a perfect score of100%. This compares favorably with a typical science classroom. Normally when presented withnew material, only about 2% of the class score 100%.The standardized mean gain effect size is an impressive 2.33. In other words, students gained2.33 standard deviations between their pre- and post-test scores. This effect size wasconsiderably greater than the highest effect size of 0.73 reported by Lipsey & Wilson12 forvarious types of social-science research including 22 effect sizes for K-12 math and scienceinstruction.qualitative
. Summary is perfunctory bias and in a correct manner bias is obvious Interpretation is limited to Interprets information from resources collected in a correct Interpretation of information Interpretation is flawed or facts and theories from the and concise manner indicates learning beyond facts
2006-2434: FAILURE ANALYSIS PROJECTS AS TEACHING TOOLS INMATERIALS SCIENCEElizabeth DeBartolo, Rochester Institute of Technology ELIZABETH A. DEBARTOLO is an Assistant Professor in the Mechanical Engineering Department at RIT. She earned her BSE at Duke University in 1994 and her MSME and Ph.D. at Purdue University in 1996 and 2000, respectively. She works with several students on predicting and enhancing fatigue life in aircraft materials and structures and is active in the college’s K-12 outreach programs.Melissa Zaczek, Rochester Institute of Technology MELISSA A. ZACZEK is a student at Rochester Institute of Technology completing her BS and ME in Mechanical Engineering. Her
. Page 22.11.3IntroductionThe versatility of a steel is, to a large measure, attributable to its response to a variety of thermaltreatments. This greatly broadens the spectrum of properties beyond those attainable throughcomposition and processing controls in the as-rolled condition. Treatments fall into twocategories: first, those which increase strength, hardness, and toughness by quenching andtempering; secondly, those which decease hardness and promote uniformity by slow coolingfrom above the transformation range or by prolonged heating within or below the transformationrange followed by slow cooling. The first category can involve through hardening as previouslymentioned, or a variety of special treatments intended to enhance surface
. To develop a tool for demonstrating the principles and for future research;3. To demonstrate that people can create tools to perform design projects requiring knowledge more advanced than that held by the designer of the tools.Equipment and Materials (include sources if appropriate):1. A high-end PC with Windows 2000 (or better)2. A compiler for Visual Basic 6.0 (or better)3. MatrixVB (MATLAB product)4. Access to an engineering reference library (To use the tool developed by this project, only the PC is necessary)Introduction: Most analog circuit design is inherently evolutionary in that the final product isachieved through an analytical analysis to determine parameter values, build a prototype, and testthe prototype