Impact of integrating computation into undergraduate curriculum: New modules and long-term trends

Computational methods have become increasingly used in both academia and industry. At the University of Illinois Urbana Champaign, the Department of Materials Science and Engineering (MSE), as part of a university-funded educational innovation program, has integrated computation throughout its undergraduate courses since 2014. Within this curriculum, students are asked to solve practical problems related to their coursework using computational tools in all required courses and some electives. Partly in response to feedback from students, we have expanded our current curriculum to include more computational modules. A computational module was added to the freshman Introduction to Materials Science and Engineering class; thus, students will be expected to use computational tools from their first year onwards. In this paper, we survey students who are currently taking courses with integrated computation to explore the effects of gradually introducing students to programming as well as both macroand micro-scale simulations over multiple years. We investigate the improving confidence level of students, their attitude towards computational tools, and their satisfaction with our curriculum reform. We also updated our survey to be more detailed and consistent between classes to aid in further improvements of our MSE curriculum.

[1]  V. Coffman,et al.  Modelling Microstructures with OOF2 , 2009 .

[2]  Mark Asta,et al.  Computational materials science and engineering education: A survey of trends and needs , 2009 .

[3]  Melissa H. Dancy,et al.  Barriers to the use of research-based instructional strategies: The influence of both individual and situational characteristics , 2007 .

[4]  Timothy Bretl,et al.  Computational Curriculum for MatSE Undergraduates , 2017 .

[5]  Steve Plimpton,et al.  Fast parallel algorithms for short-range molecular dynamics , 1993 .

[6]  Geoffrey L. Herman,et al.  Computational Curriculum for MatSE Undergraduates and the Influence on Senior Classes , 2018 .

[7]  M. Niewiadomska-Bugaj,et al.  Use of research-based instructional strategies in introductory physics: Where do faculty leave the innovation-decision process? , 2012 .

[8]  Cheng-Wei Lee Impact of Computational Curricular Reform on Non-participating Under- graduate Courses: Student and Faculty Perspective , 2019 .

[9]  K. Thornton,et al.  Computational Materials Science and Engineering Education: An Updated Survey of Trends and Needs , 2018, JOM.

[10]  C. Henderson,et al.  Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature , 2011 .

[11]  Stefano de Gironcoli,et al.  QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials , 2009, Journal of physics. Condensed matter : an Institute of Physics journal.

[12]  Maura Borrego,et al.  Increasing the Use of Evidence‐Based Teaching in STEM Higher Education: A Comparison of Eight Change Strategies , 2014 .

[13]  L. Höglund,et al.  Thermo-Calc & DICTRA, computational tools for materials science , 2002 .

[14]  Geoffrey L. Herman,et al.  Work in progress: Computational modules for the MatSE undergraduate curriculum , 2016 .

[15]  A. Stukowski Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool , 2009 .