{"id":688,"date":"2018-01-25T20:13:32","date_gmt":"2018-01-25T20:13:32","guid":{"rendered":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/?p=688"},"modified":"2018-10-27T12:39:17","modified_gmt":"2018-10-27T17:39:17","slug":"c-vieira-a-jana-m-konieczny-r-e-garcia-and-a-magana-integrating-computational-science-tools-into-a-thermodynamic-course-journal-of-science-education-and-technology-januar","status":"publish","type":"post","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2018\/01\/25\/c-vieira-a-jana-m-konieczny-r-e-garcia-and-a-magana-integrating-computational-science-tools-into-a-thermodynamic-course-journal-of-science-education-and-technology-januar\/","title":{"rendered":"C. Vieira, A. Jana, M. Konieczny, R.E. Garc\u00eda, and A. Magana. \u201cIntegrating Computational Science Tools into a Thermodynamic Course.\u201d Journal of Science Education and Technology. January 2018."},"content":{"rendered":"

C. Vieira, A. Jana, M. Konieczny, R.E. Garc\u00eda, and A. Magana. \u201cIntegrating Computational Science Tools into a Thermodynamic Course<\/em>.\u201d Journal of Science Education and Technology<\/strong>. January, 2018. https:\/\/doi.org\/10.1007\/s10956-017-9726-9<\/a><\/p>\n

Abstract<\/h3>\n

Computational tools and methods have permeated multiple science and engineering disciplines, because they enable scientists and engineers to process large amounts of data, represent abstract phenomena, and to model and simulate complex concepts. In order to prepare future engineers with the ability to use computational tools in the context of their disciplines, some universities have started to integrate these tools within core courses. This paper evaluates the effect of introducing three computational modules within a thermodynamics course on student disciplinary learning and self-beliefs about computation. The results suggest that using worked examples paired to computer simulations to implement these modules have a positive effect on (1) student disciplinary learning, (2) student perceived ability to do scientific computing, and (3) student perceived ability to do computer programming. These effects were identified regardless of the students\u2019 prior experiences with computer programming.<\/p>\n","protected":false},"excerpt":{"rendered":"

C. Vieira, A. Jana, M. Konieczny, R.E. Garc\u00eda, and A. Magana. \u201cIntegrating…<\/p>\n

Continue reading “C. Vieira, A. Jana, M. Konieczny, R.E. Garc\u00eda, and A. Magana. \u201cIntegrating Computational Science Tools into a Thermodynamic Course.\u201d Journal of Science Education and Technology. January 2018.”<\/span>…<\/a><\/div>\n
Continue reading \"C. Vieira, A. Jana, M. Konieczny, R.E. Garc\u00eda, and A. Magana. \u201cIntegrating Computational Science Tools into a Thermodynamic Course.\u201d Journal of Science Education and Technology. January 2018.\"<\/span>…<\/a><\/div>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true},"categories":[45],"tags":[56,22,7],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/peeeSR-b6","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":531,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/11\/04\/c-vieira-a-j-magana-ml-falk-re-garcia-writing-in-code-comments-to-self-explain-in-computational-science-and-engineering-education-acm-transactions-on-computing-education-toce-17417\/","url_meta":{"origin":688,"position":0},"title":"C Vieira, A J Magana, ML Falk, RE Garc\u00eda “Writing in-code comments to self-explain in computational science and engineering education.”\u00a0ACM Transactions on Computing Education (TOCE), 17(4):17, 2017.","date":"11\/04\/2017","format":false,"excerpt":"C Vieira, A J Magana, ML Falk, RE Garc\u00eda \"Writing in-code comments to self-explain in computational science and engineering education.\"\u00a0ACM Transactions on Computing Education (TOCE), 17(4):17, 2017. Abstract This article presents two case studies aimed at exploring the use of self-explanations in the context of computational science and engineering (CSE)\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":379,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/10\/31\/computational-materials-science-and-engineering-education-a-survey-of-trends-and-needs\/","url_meta":{"origin":688,"position":1},"title":"K Thornton, S. Nola, RE Garc\u00eda, M. Asta, GB Olson “Computational materials science and engineering education: A survey of trends and needs.”\u00a0JOM Journal of the Minerals, Metals and Materials Society. 61(10): 12-17, 2009.","date":"10\/31\/2017","format":false,"excerpt":"K Thornton, S. Nola, RE Garc\u00eda, M. Asta, GB Olson \"Computational materials science and engineering education: A survey of trends and needs.\"\u00a0JOM Journal of the Minerals, Metals and Materials Society. 61(10): 12-17, 2009. Abstract Results from a recent reassessment of the state of computational materials science and engineering (CMSE) education\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":837,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2019\/11\/15\/a-jana-s-i-woo-k-s-n-vikrant-and-r-e-garcia-electrochemomechanics-of-lithium-dendrite-growth-energy-environmental-science-2019\/","url_meta":{"origin":688,"position":2},"title":"A. Jana, S.-I. Woo, K.S.N. Vikrant, and R.E. Garc\u00eda \u00a0“Electrochemomechanics of lithium dendrite growth.”\u00a0Energy & Environmental Science, 12:3595-3607, 2019","date":"11\/15\/2019","format":false,"excerpt":"A. Jana, S.-I. Woo, K.S.N. Vikrant, and R.E. Garc\u00eda \u00a0\"Electrochemomechanics of lithium dendrite growth.\"\u00a0Energy Environ. Sci., 12:\u00a03595-3607, 2019.\u00a0https:\/\/doi.org\/10.1039\/C9EE01864F abstract A comprehensive roadmap describing the current density- and size-dependent dendrite growth mechanisms is presented. Based on a thermodynamically consistent theory, the combined effects of chemical diffusion, electrodeposition, and elastic and plastic\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":901,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2021\/08\/07\/o-a-torres-matheus-r-e-garcia-and-c-m-bishop-physics-based-optimization-of-landau-parameters-for-ferroelectrics-application-to-bzt-50bct-modelling-and-simulation-in-materials-science-and\/","url_meta":{"origin":688,"position":3},"title":"O. A. Torres-Matheus, R.E. Garc\u00eda, and C. M. Bishop “Physics-based optimization of Landau parameters for ferroelectrics: application to BZT-50BCT.” Modelling and Simulation in Materials Science and Engineering. 29 075001, 2021.","date":"08\/07\/2021","format":false,"excerpt":"O. A. Torres-Matheus, R.E. Garc\u00eda and C. M. Bishop \"Physics-based optimization of Landau parameters for ferroelectrics: application to BZT-50BCT.\" Modelling and Simulation in Materials Science and Engineering. 29, 075001,. 2021. https:\/\/doi.org\/10.1088\/1361-651X\/ac1a60 Abstract In analogy to thermochemical parameter optimization in the CALculation of PHAse Diagrams (CALPHAD) approach that relies on a\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":383,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/10\/31\/fipy-and-oof-computational-simulations-for-modeling-and-simulation-of-computational-materials\/","url_meta":{"origin":688,"position":4},"title":"AJ Magana, RE Garc\u00eda “FiPy and OOF: Computational simulations for modeling and simulation of computational materials.”\u00a0Proceedings of the 117th Annual Conference of the American Society of Engineering Education (ASEE), Louisville, Kentucky, June. 20-23, 2010.","date":"10\/31\/2017","format":false,"excerpt":"AJ Magana, RE Garc\u00eda \"FiPy and OOF: Computational simulations for modeling and simulation of computational materials.\"\u00a0Proceedings of the 117th Annual Conference of the American Society of Engineering Education (ASEE), Louisville, Kentucky, June. 20-23, 2010. Abstract Modeling and simulation of materials has been identified as one relevant skill for undergraduate and\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":511,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/11\/04\/o-alabi-aj-magana-re-garcia-gibbs-computational-simulation-as-a-teaching-tool-for-students-understanding-of-thermodynamics-of-materials-concepts-journal-of-materials-education-375-6-239\/","url_meta":{"origin":688,"position":5},"title":"O Alabi, AJ Magana, RE Garc\u00eda “Gibbs, computational simulation as a teaching tool for students’ understanding of thermodynamics of materials concepts.” Journal of Materials Education. 37(5-6), 239-260, 2015.","date":"11\/04\/2017","format":false,"excerpt":"O Alabi, AJ Magana, RE Garc\u00eda \"Gibbs, computational simulation as a teaching tool for students' understanding of thermodynamics of materials concepts.\" Journal of Materials Education. 37(5-6), 239-260, 2015. \u00a0","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/688"}],"collection":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/comments?post=688"}],"version-history":[{"count":4,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/688\/revisions"}],"predecessor-version":[{"id":791,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/688\/revisions\/791"}],"wp:attachment":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/media?parent=688"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/categories?post=688"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/tags?post=688"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}