Triggering the deep learning approach in power system courses using Free and Open Source Software

This paper describes how Free and Open Source Software can enable the deep learning approach in power system courses. With this aim, the paper describes authors' experience with PSAT for undergraduate and graduate education. Specific examples of undergraduate activities based on PSAT, such as class activities and course projects, are given as illustrations. Experience with graduate PhD level education is also described. Interviews with former students reveal the positive impact that the use of FOSS in general, and PSAT in particular, had on their learning and how it has influenced their professional life.

[1]  Angelo Mosso La riforma dell'educazione , 1987 .

[2]  Paula M. Ferguson,et al.  Python in a Nutshell , 2003 .

[3]  Sally Brown,et al.  Assessment Matters in Higher Education: Choosing and Using Diverse Approaches. , 1999 .

[4]  Benjamin C. Pierce,et al.  Types and programming languages: the next generation , 2003, 18th Annual IEEE Symposium of Logic in Computer Science, 2003. Proceedings..

[5]  G. Boulton‐Lewis Teaching for quality learning at university , 2008 .

[6]  Guido van Rossum,et al.  Python Programming Language , 2007, USENIX Annual Technical Conference.

[7]  Hans Petter Langtangen,et al.  Python scripting for computational science , 2004 .

[8]  J. Biggs,et al.  Teaching For Quality Learning At University , 1999 .

[9]  F. Marton,et al.  ON QUALITATIVE DIFFERENCES IN LEARNING: I—OUTCOME AND PROCESS* , 1976 .

[10]  Federico Milano,et al.  Power System Modelling and Scripting , 2010 .

[11]  Federico Milano,et al.  An Open Source Power System Virtual Laboratory: The PSAT Case and Experience , 2008, IEEE Transactions on Education.

[12]  L. Vanfretti,et al.  Application of the PSAT, an Open Source Software, for Educational and Research Purposes , 2007, 2007 IEEE Power Engineering Society General Meeting.

[13]  Federico Milano,et al.  Experience with PSAT (Power System Analysis Toolbox) as Free and Open-Source Software for Power System Education and Research , 2010 .

[14]  Kevin F. Collis,et al.  Evaluating the Quality of Learning: The SOLO Taxonomy , 1977 .

[15]  Jay Giri Industry perspectives on university research programs , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[16]  F. Milano,et al.  An open source power system analysis toolbox , 2005, 2006 IEEE Power Engineering Society General Meeting.

[17]  Gregory F. Reed,et al.  The Power and Energy Initiative at the University of Pittsburgh: Addressing the aging workforce issue through innovative education, collaborative research, and industry partnerships , 2010, IEEE PES T&D 2010.

[18]  F. Marton,et al.  ON QUALITATIVE DIFFERENCES IN LEARNING—II OUTCOME AS A FUNCTION OF THE LEARNER'S CONCEPTION OF THE TASK , 1976 .