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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


  1. Connexions Open Source Textbooks Open Source Assessment Richard Baraniuk Rice University

  2. educational publishing poor access to high-quality teaching materials ($$$) inefficient development concept silos

  3. educational assessment lack of timely feedback lack of diverse remedial/ automated feedback enrichment systems expensive materials and fragile

  4. nanotubes knowledge forms a network algebra geometry art history proteomics linguistics

  5. knowledge forms a network networks enable new means to produce and exploit knowledge

  6. open standards for networks of knowledge

  7. today ’ s education factory authoring editing peer review publishing distribution lecturing homework assessment graduating accrediting

  8. open education ecosystem peer review editing publishing authoring distribution feedback lecturing accrediting testing graduating

  9. open education enablers technology web, internet, databases, … intellectual property open-source licenses for content make content easy and safe to share

  10. Connexions (cnx.org) 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 usage per month: >2 million unique users 100 million hits from 190 countries

  11. free online: 5 million uses to date iPad/iPhone/Android $26 in print via ePub (627 pages)

  12. some Connexions partners 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

  13. personalize the learning experience based on user interactions 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

  14. PLS – personalized learning system community QuAD open source Q/A database machine learning algs Connexions interactive Focus sims peer review Lablets system Video tutorials

  15. Richard Baraniuk richb@cnx.org

  16. Further Reading Open education – 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 – R. G. Baraniuk, “How Open are Open Educational Resources?” Domus (Italy), 923(03/09), March 2009. Future of peer review / open science – C. Kelty, C. S. Burrus, R. G. Baraniuk, “ Peer Review Anew, ” Proceedings of the IEEE , June 2008. – cnx.org/lenses IEEEcnx.org –

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