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Richard Baraniuk
Rice University
educational publishing
poor access to high-quality teaching materials ($$$) concept silos inefficient development
Connexions Open Source Textbooks Open Source Assessment Richard - - PowerPoint PPT Presentation
Connexions Open Source Textbooks Open Source Assessment Richard - - PowerPoint PPT Presentation
Connexions Open Source Textbooks Open Source Assessment Richard Baraniuk Rice University educational publishing poor access to high-quality teaching materials ($$$) inefficient development concept silos educational assessment lack of
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educational assessment
lack of timely feedback lack of diverse remedial/ enrichment materials automated feedback systems expensive and fragile
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knowledge forms a network
art history linguistics proteomics algebra geometry nanotubes
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knowledge forms a network
networks enable new means to produce and exploit knowledge
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- pen standards
for networks of knowledge
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today’s education factory
authoring editing peer review publishing distribution lecturing homework assessment graduating accrediting
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- pen education ecosystem
feedback
lecturing testing graduating accrediting distribution publishing peer review editing authoring
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- pen education enablers
technology
web, internet,
databases, … intellectual property
- pen-source licenses for content
make content easy and safe to share
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Connexions (cnx.org)
usage per month: >2 million unique users 100 million hits from 190 countries non-profit open education platform founded at Rice Univ. 12 years ago 1100 open textbooks/collections 18000 Lego modules from contributors worldwide in 40+ languages
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free online: 5 million uses to date iPad/iPhone/Android via ePub $26 in print (627 pages)
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Community College Open Textbook Project 100+ CC’s in USA and Canada
developing a suite of free open textbooks
Siyavula / Shuttleworth Foundation complete K-12 curriculum for South Africa Government of Vietnam developing new curriculum at 40 universities IEEE quality review of open materials
some Connexions partners
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Q: how to scale to many different kinds of learners? many different content subjects?
- 1. replace top-down rules based systems with
bottom-up machine learning algorithms
- 2. exploit global community of authors/
teachers/learners
personalize the learning experience based on user interactions
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Connexions QuAD
- pen source
Q/A database
PLS – personalized learning system
interactive sims
Lablets
community
Focus
peer review system
Video
tutorials
machine learning algs
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Richard Baraniuk
richb@cnx.org
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Further Reading
Open education
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- R. G. Baraniuk and C. S. Burrus, “Global Warming toward Open Educational
Resources, Communications of the ACM, Vol. 51, No. 9, September 2008. –
- U. P. Dholakia and R. G. Baraniuk, “The Roles of Social Networks and
Communities in Open Education Programs,” in Social Software and Developing Community Ontologies, S. Hatzipanagos and S. Warburton, eds., IGI Global Publishing, 2008. –
- R. G. Baraniuk, “Challenges and Opportunities for the Open Education
Movement: A Connexions Case Study,” in Opening Up Education — The Collective Advancement of Education through Open Technology, Open Content, and Open Knowledge, T. Iiyoshi, M. S. Vijay Kumar, eds., MIT Press, 2008.
Open licenses
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- R. G. Baraniuk, “How Open are Open Educational Resources?” Domus (Italy),
923(03/09), March 2009.
Future of peer review / open science
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- C. Kelty, C. S. Burrus, R. G. Baraniuk, “Peer Review Anew,” Proceedings of the
IEEE, June 2008. – cnx.org/lenses – IEEEcnx.org