historically underrepresented groupsin STEM, and the PREM program, which is designed to increase diversity in materials researchdisciplines by creating research/education partnerships between minority serving institutions(MSI) and universities which are “leading sources of degrees in materials-related fields” [5].Traditionally, our PREM partners send a select group of their PREM-funded student scholars tocontinue their materials science research at Penn State during the 10-week REU summerprogram. PREM REU student-scholars are in a unique position because a summer REU at PennState is a continuation of their own research from their home institution, integrated within thelarger PREM-MRSEC collaboration. Thus, an intrinsic goal of the in-person PREM
now approaching theirsenior years. In this paper, we present the recent progress of our computational curriculum andfocus on the influence of the program on the performance of students in senior computationalmodeling classes and senior classes with computational modules.2 IntroductionComputational modeling of materials properties has grown increasingly important in both academiaand industry.[1] Survey data from 2009 shows that the an average of 50 % of new hires are ex-pected to have computational training experience. [1] Due to the well-known need of computa-tional skills, it is vital to provide computational training to undergraduate students in materialsscience.[1, 2] A recent study by Vieira and others[3] shows that integrating
compression parallel to the grain test,which requires the greatest compressive force of all three types of tests in this study, the peakload did not exceed 25,000 pounds, which indicates the testing could have been accomplished onmost test frames found at other institutions. Test apparatus, such as the static bending test loadhead and support platform and the direct shear device, were already available by their use inother courses in the civil engineering curriculum at USAFA. So no new equipment was requiredfor this study. The ASTM provides detailed specifications for these apparatus, facilitating theirpurchase or fabrication if an institution does not have ready access to them. The instructordeveloped the testing algorithm in the test frame
Initiative Framework For Entrepreneurial Mindedness in Engineering Education,” Proceedings of the 2012 ASEE Annual Conference and Exposition, ASEE, 2012.12. Thoroughman, K., Hruschka, A., Widder, P., “Engineering Virtual Studio: KEEN Modules to Foster Entrepreneurial Mindset in an Integrative, First/Second Year Online Course,” Proceedings of the 2014 ASEE Annual Conference and Exposition, ASEE, 2014.13. Milton, D., Bridging the Knowledge Gap, KEEN’zine Issue 2, accessed Jan 22, 2015.14. Bloom, B.S. (Ed.). Engelhart, M.D., Furst, E.J., Hill, W.H., Krathwohl, D.R., Taxonomy of Educational Objectives, Handbook I: The Cognitive Domain. New York: David McKay Co Inc, 1956.15. Visioneering Center, https://www.udayton.edu/news/articles/2014
Paper ID #27468Motivation on Programming Assignments in Materials Science and Engineer-ingDr. Susan P. Gentry, University of California, Davis Dr. Susan P. Gentry is an Assistant Professor of Teaching Materials Science and Engineering at the Uni- versity of California, Davis. In her current position at UC Davis, she is integrating computational modules into the undergraduate and graduate materials curriculum. She is specifically interested in students’ com- putational literacy and life-long learning of computational materials science tools. c American Society for Engineering Education, 2019
Paper ID #20127A Computer-Based Interactive Activity for Visualizing Crystal Structuresin Introductory Materials Science CoursesDr. Susan P. Gentry, University of California, Davis Dr. Susan P. Gentry is a Lecturer with Potential Security of Employment in the Materials Science and Engineering department at the University of California, Davis. In her current position at UC Davis, she is integrating computational modules into the undergraduate and graduate materials curriculum. She is specifically interested in students’ computational literacy and life-long learning of computational materi- als science tools.Dr. Tanya
-Campus Classroom. ASEE Annual Conference and Exposition, ASEE. [8] Enriquez, A. G. (2010). Assessing the Effectiveness of Dual Delivery Mode in an Online Introductory Circuits Analysis Course. ASEE Annual Conference and Exposition, ASEE. [9] Douglas, J. (2015). Comparing Learning Outcomes and Content Mastery in Online and Face to Face Engineering Statics Courses. ASEE Annual Conference and Exposition, ASEE. [10] Gray, G. (2006). Advancing Composites Education and Training through Curriculum Design. ASEE Annual Conference and Exposition, ASEE. [11] Stuart, J.S. (2015). Enhanced Teaching Techniques Applied to an Upper Division Composite Materials Engineering Course with an Emphasis on Aerospace
bachelor level in public universities does not have an external advisory council, so thispractice is highly recommended for programs that envision an international accreditation. Page 26.574.4The Program Committee is integrated by the program coordinator, the head of the MaterialsEngineering Division and three full time faculty members of the program, this collegiate bodywork as a team and plans and monitors all the academic aspects of the program, this team isresponsible for the outcomes and competencies assessment processes and collect and analyze allthe necessary materials. The Program Advisory Council was created, among other reasons, inorder to
solutions to modern problems.While traditional engineering programs provide students with the technical skills required oftheir profession, students often lack the knowledge and resources on how to incorporate complexenvironmental and social factors into decision-making so that they are prepared to face society’sevolving challenges. As part of a larger initiative to integrate traditional technical skills withenhanced social awareness into the engineering curriculum, a two-part module emphasizing theenvironmental and social design considerations of sustainability was added to an existing moduleseries in a third-year Materials Science course. This paper will describe the design,implementation, and assessment of one part of this module entitled “The
Engineering’ departments in USuniversities have evolved into interdisciplinary and collaborative Materials Science andEngineering programs. Over the last few decades, MSE has become collaboratively involved inthe fields of biology (biomaterials and biomedical research), mechanical engineering (machinecomponents, MEMS and tribology), electrical engineering (semiconductors), physics andchemistry (nanomaterials and solid-state physics research). The applicability of MSE to varioustraditional engineering programs also means that students from other (not majoring in MSE)disciplines are also required to register for an introductory level materials class as a part of theircore undergraduate curriculum. However, many of the traditional textbooks that are