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HPC Technologies

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Workshops, presentations, in-house projects, trying out new approaches in own ... Build a Synergistic Environment (across disciplines) for Faculty ... – PowerPoint PPT presentation

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Title: HPC Technologies


1
HPC Technologies PreService Teacher Prep
Overlap?Post Evaluation Thoughts
  • Kris Stewart
  • Ilya Zaslavsky
  • San Diego State University
  • NPACI Ed Center on Computational Science
    Engineering

stewart_at_sdsu.edu www.edcenter.sdsu.edu
2
Outline of SITE2000 Talk
  • Background
  • Projects and Evaluations
  • Strategies We Have Developed
  • Lessons Learned
  • STEP
  • EC/CSE
  • Building Infrastructure through Community
  • Will it count? How?

3
Background for SITE2000 talk
  • What is Computational Science Engineering?
  • What is NPACI? National Partnership for Advanced
    Computational Infrastructure
  • What is EOT-PACI?
  • What is the Ed Center on Computational Science
    Engineering EC/CSE?

4
What is Computational Science?Science
Simulation/Modeling Computer Science

Science Discipline Physics, Chemistry, Biology,
etc.
Applied Mathematics Numerical Analysis, Modeling,
Simulation
Computer Science Hardware/Software
5
Computational Science is Teamwork

Teamwork and Collaboration
Science Discipline Physics, Chemistry, Biology,
etc.
Computer Science Hardware/Software
Applied Mathematics Numerical Analysis, Modeling,
Simulation
6
NPACI Advancing the Computational Infrastructure
NPACI Advancing the Computational Infrastructure
  • Resources -- Todays Digital Laboratory
  • High-performance computing available today to the
    academic community
  • Develop and Deploy
  • Technology and application collaborations to push
    the capabilities of tomorrows digital laboratory
  • Use and Apply
  • Computational scientists applying enhanced
    capabilities to achieve new scientific results
  • Disseminate and Incorporate
  • Incorporating technologies into the digital
    laboratory and disseminating them for use in new
    communities

7
NPACI Sources of Information
NPACI Sources of Information
NPACI Partnership Report enVision quarterly
science magazine, especially June99The
Importance of Science Literacy in a Computing
World, Sid Karin www.npaci.edu/envision/v15.2/dir
ector.html Online biweekly electronic
publication, www.npaci.edu/online/ www.npaci.edu

8
Mission of EOT-PACI
  • The mission of EOT-PACI is to develop human
    resources through the innovative use of emerging
    information technologies in order to understand
    and solve problems in education, science,
    business, government, and society.

9
EOT-PACI Education Projects
Goal Support a national level systemic impact
on CSE education (k-12, undergrad,
grad/training, informal science)
10
EOT-PACI some remarkable projects
  • Chickscope
  • students watch embryo maturing using magnetic
    resonance imaging (MRI) over the Web
  • Chemviz
  • visualization tools and curriculum for
    computational chemistry (quantum chemistry
    computations, web crystallographic databases,
    etc.)
  • The WHY files
  • explanation of science behind the news (NISE)
  • Biology Workbench
  • collection of computational biology tools and
    databases
  • Maryland Virtual High School
  • Core models in the K12 classroom
  • Sociology Workbench
  • Online tools for survey data analysis, e.g.
    student evaluations

11
EOT-PACI Learning Technologies
Goal Develop, apply, and assess computational
tools that enhance learning
12
EOT-PACI Access Inclusion
Goal Increase participation and success of
women, minorities and people with disabilities
in CSE and in PACI
13
The STEP Project, and its Evaluation
  • Goal Introduce in-service science teachers to
    computational science (NSF support 1993-97)
  • Lessons learned
  • Teachers need to be convinced that new
    technologies significantly improve student
    learning
  • Institutional support required for program to be
    sustainable (and teachers need to be aware of
    this support)
  • Continuous monitoring through interviews,
    surveys, discussions
  • Included in Smithsonian permanent collection!

14
The Ed Center Project and its Evaluation
  • Goal incorporate computational science
    techniques in undergraduate curricula
  • Differences from STEP target audience,
    institutional arrangements
  • Methods and Strategies
  • Faculty Fellows
  • Workshops, presentations, in-house projects,
    trying out new approaches in own teaching, tools
    development
  • Computational Science Olympics (curriculum from
    the bottom-up!!)
  • Surveys, continuous assessment of faculty
    involvement and learning outcomes
  • Evaluated by the LEAD Center in 1998-99

15
Introducing the EC/CSE
The mission of the Ed Center on Computational
Science and Engineering? www.edcenter.sdsu.edu Who
are the people involved? www.edcenter.sdsu.edu/st
aff Some of our projects www.edcenter.sdsu.edu/pr
ojects/ Some of our activities
www.edcenter.sdsu.edu/news/ Some resources
www.edcenter.sdsu.edu/repository
16
Undergraduate Faculty A Tough Target Group
  • Obstacles lack of time, tenure and review
    considerations, lack of awareness about available
    technologies
  • Undergraduate faculty
  • ¾ have used WWW often or sometimes (1997), but
    not in the classroom (only 18 - 1998)
  • The gap between those NEVER using computers in
    the classroom, and those using them OFTEN, is the
    largest for untenured faculty, increasing towards
    tenure review
  • Only 12 of surveyed faculty saw themselves as
    having a use for HPC applications in courses
    (higher for Sciences and Engineering)
  • 11 of faculty have students working with
    computer models OFTEN

17
Using computers in the classroom versus number of
years as a faculty member (1997 Faculty Survey)
18
Students Using Computers in the Classroom (1997
Faculty Survey)
19
Strategies for Building Faculty Community
  • Reliance on most enthusiastic and technically
    advanced instructors who are already using
    computing and modeling in classes
  • The Faculty Fellows program
  • Stakeholders
  • College Deans - Specific support
  • Faculty - Compensation, and acknowledgement, of
    the value of the faculty members contribution
  • Benefits
  • College
  • Department (Faculty Fellows as discipline-specific
    spokespersons for EC/CSE)
  • Faculty (as individuals)
  • Ed Center on Computational Science and
    Engineering
  • Building a special infrastructure for curriculum
    transformation human, institutional, technical
    is a requirement for successful introduction of
    advanced techniques (since they are more
    demanding on faculty time and efforts)
  • The problems and strategies are not that much
    different from STEP!!

20
Faculty Fellows during 1998-2000
  • Faculty Fellows representing four departments
    from four colleges Geological Sciences,
    Geography, Computer Engineering, Business
    Information Systems
  • Bi-weekly meetings at the Ed Center
  • Faculty Fellows as ambassadors of computational
    science
  • Partnership with LEAD for evaluation during
    1998-99
  • Follow-on Activities (Susan Millar, LEAD)
  • CATS (Classroom Assessment Techniques)
  • FLAG (Field-tested Learning Assessment Guide)
  • SALG (Student Assessment of Learning Gains)

21
More Strategies
  • Trying the new approaches in our own teaching
  • Teaching the Supercomputer class with group-based
    problem-solving environments
  • Real-time distance teaching with Web-based
    collaborative software (featured as Microsoft
    Case Study in Higher Ed.)
  • Development of Sociology Workbench, a free
    on-line survey data analysis system that can be
    used for evaluation of student outcomes and other
    surveys

22
Channels for Influencing Pre-Service Teacher
Preparation
  • Use of advanced computing modules in general ed
    courses (e.g. Geol 303 Natural Hazards)
  • Cooperation with College of Education faculty and
    students, esp. in Education Technology focus on
    experimentation with new technologies in
    classroom setting
  • Computational Science Olympics supporting the
    bottom-up development of computational science
    curricula
  • Providing on-line assessment technologies
  • Sociology Workbench http//edcenter.sdsu.edu

23
SWB Convenient Tool to Learn from Student Survey
Data
  • Online tool for standard public data sets or
    your own data set http//edcenter.sdsu.edu
  • Small Sample, therefore only useful as feedback
    for the instructor
  • Can be used with forms interface directly into
    SWB format, as in June 99 CSU Faculty Workshop

24
SWB as Analysis ToolView Student Comments (text)

25
SWB as Analysis ToolIsolate on Specific Survey
Response

26
SWB as Analysis ToolExplain the Response on
Learning with doing more

27
SWB as Analysis ToolExplain learning with
active participation
28
Lessons Learned
  • Institutional support required for program to be
    sustainable
  • Individual reform-ready faculty is focus for
    support
  • Infrastructure
  • Build a Synergistic Environment (across
    disciplines) for Faculty
  • Continuous monitoring through interviews,
    surveys, discussions

29
Whats Next
  • The approaches we described proved useful for two
    target audiences. We believe that the strategies
    and lessons learned can be extrapolated in a
    targeted effort to incorporate computational
    science technologies in pre-service teacher
    preparation
  • This may be a funding opportunity?
  • We will be happy to contribute our knowledge and
    share experiences

30
References SITE2000
  • User-Friendly Handbook for Project Evaluation
    Science, Mathematics, Engineering and Technology
    Education, NSF 93-152 www.ehr.nsf.gov/EHR/RED/EVAL
    /handbook/handbook.htm
  • Sid Karin The Importance of Science Literacy in
    a Computing World (see enVision Science Magazine,
    V.15 No. 2
  • Smithsonian Institution STEP is in the Archive
    for 1996, Education Academia San Diego
    http//innovate.si.edu/
  • K. Stewart I. Zaslavsky, Ten Grand
    Challenges, Supercomputing 98 Orlando FL SC98
    Conference Paper
  • J. Foertsch B. Alexander, Integrating HPC into
    the Undergraduate Curriculum, report by LEAD
    Center June 1999 http//www.cae.wisc.edu/lead/pag
    es/products/eot-paci.pdf
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