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DTSTAMP:20181221T160727Z
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DTSTART;TZID=America/Chicago:20181112T113000
DTEND;TZID=America/Chicago:20181112T115000
UID:submissions.supercomputing.org_SC18_sess166_ws_bphpcte110@linklings.co
 m
SUMMARY:The Impact of MOOC Methodology on the Scalability, Accessibility a
 nd Development of HPC Education and Training
DESCRIPTION:Workshop\nEducation, Scientific Computing, Training, Workshop 
 Reg Pass, Emerging Tools enabling HPC Training and Education\n\nThe Impact
  of MOOC Methodology on the Scalability, Accessibility and Development of 
 HPC Education and Training\n\nMullen, Filinger, Milechin, Henty\n\nThis wo
 rk explores the applicability of Massively Open Online Courses (MOOCs) for
  scaling High Performance Computing (HPC) training and education.  Most HP
 C centers recognize the need to provide their users with HPC training; how
 ever, the current educational structure and accessibility prevents many sc
 ientists and engineers needing HPC knowledge and skills from becoming HPC 
 practitioners.  To provide more accessible and scalable learning paths tow
 ard HPC expertise, the authors explore MOOCs and their related technologie
 s and teaching approaches.  In this paper the authors outline how MOOC cou
 rses differ from face-to-face training, video-capturing of live events, we
 binars, and other established teaching methods with respect to pedagogical
  design, development issues and deployment concerns.  The work proceeds to
  explore two MOOC case studies, including the design decisions, pedagogy a
 nd delivery.  The MOOC development methods discussed are universal and eas
 ily replicated by educators and trainers in any field; however, HPC has sp
 ecific technical needs and concerns not encountered in other online course
 s.  Strategies for addressing these HPC concerns are discussed throughout 
 the work.
URL:https://sc18.supercomputing.org/presentation/?id=ws_bphpcte110&sess=se
 ss166
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