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OCWC Global 2011, May 2011, Cambridge, MA Mapping the OER Landscape Patrick McAndrew & ElpidaMakriyannis, Open University UK Cathy Casserly & Timothy Vollmer, Creative Commons
2 “The map is not the territory” Alfred Korzybski via Tim O’Reilly
OLnet is searching out the evidence foreffective OER, and building an Evidence Hub — a living  map by, of and forthe OER movement —and those we needto impact http://www.flickr.com/photos/bartelomeus/4184705426/
4
5
Stages in Open Content
OER factors Policy Adoption Design  Attraction/use Infrastructure/tools  Contexts olnet.org
Investment in OER Funding of OER projects (m$) 2001-2010  McAndrew, P. and Cropper, K. (2010). Open Learning Network: the evidence of OER impact. In: Open Ed 2010: The Seventh Annual Open Education Conference, November 2-4, 2010, Barcelona, Spain. http://kn.open.ac.uk/public/document.cfm?docid=13221 olnet.org
The Open Educational Practicecube model ,[object Object]
Strategies and Policies
Barriers and Success Factors
Tools and Tool Practices
Skills Development and Support
THE CONTEXT: Where?
Macro level  (society)
Meso level  (organisation)
Micro level  (individuals)
MATURITY: How well is it established?
Initial (not yet started)
Managed
Defined
Optimizing (embedded / advanced)CONTEXT MATURITY DIMENSION 10
OER in different contexts olnet.org
System Tools Informationaccess & use Updated Knowledge System user Learner Technological  level Semiotic  level Division of Labour Communication Context Community Control Rules
Open = ,[object Object]
 Freed
 FreeAND ,[object Object]
 Accessible
 Connected
 Empowered,[object Object]
COMMON GOAL:  To dramatically increase the proportion of community college students who are mathematically prepared to succeed in further academic study and/or occupational pursuits.  STUDENT CHARACTERISTICS PROBLEM SPACE COMMON OUTCOMES ,[object Object]
Math and school histories
Work-family factors affecting persistence
Reading & Writing proficiencies (all students)
Non-English-Background student characteristics
Social Capital; “College Knowledge”
Self-Efficacy; Motivation; Career & Educational AspirationsContent: ,[object Object]
Proportional reasoning
Probability/Statistics
Functions“Adding it Up” Strands: ,[object Object]
Procedural fluency
Strategic competence
Adaptive reasoning
Productive dispositionSocial Capital: ,[object Object]
Motivation
Self-RegulationConsequential Validity: ,[object Object],Instructional System Information Infrastructure Guiding student PLACEMENT & PROGRAM OF STUDY Revisiting BELIEFS ABOUT LEARNING MATHEMATICS MONITORING STUDENT PROGRESS  towards success Focusing institutional RESEARCH ON INSTRUCTIONAL IMPROVEMENT Aligning  LEARNINGGOALS w/ career opportunities Minimizing COURSE SEQUENCE HURDLES Creating a universal STUDENT-CENTRIC DATA SYSTEM Strengthening DATA TO SUPPORT INSTRUCTION Ideating the  SOCIAL ORGANIZATION OF TEACHING Developing and embracing  EVIDENCE-BASED INSTRUCTIONAL PRACTICES Student Support System Smoothing the path I:  HS-CC ALIGNMENT Strengthening  STUDENT CONNECTIONS to peers, college and a future Strengthening GUIDANCE FOR STUDENT SUCCESS Strengthening CURRICULAR PACING & COHERENCE  for student learning Smoothing the path II: TRANSFER REQUIREMENTS Building on-ramps to effectively TRANSITION students into college Human Resource System Governance (affects all systems) LEARNING TEACHING ALLOCATING FACULTY RESOURCES  for student success REFORM INCENTIVES for improving teaching and  learning ALIGNING RESOURCES for student success FACULTY EVALUATION for improving instruction HIRING FOR EFFECTIVE TEACHING (Yellow) (Pink) (Green) Key: Challenges at the Instructional Level Challenges at the Institutional Level Challenges at the System/Field Level 11/17/2009
Template-driven analysis by OLnet researchers PanagiotaAlevizou, ElpidaMakriyannis, Tina Wilson, Andreia Inamorato dos Santos, Patrick McAndrew Hewlett Grantees – an exercise in mapping CollectiveIntelligence tool Hewlett Grantee Report (x125) Evidence Hub DistilledThemes, Challenges, Claims, Evidence, & Documentsvia a simplified user interface for the wider community to browse and update Annotation & visualization tools integrating all the analyses Michelle BachlerAnna De LiddoSimon Buckingham Shum Automated textual markup (XIP) ÁgnesSándorOLnet Fellow, Xerox http://olnet.org/node/512

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Mapping the OER Landscape

Notas del editor

  1. China – policy and context, Participatory – Social, Search & Discovery – location, OERopoly – awareness.
  2. Show evidence hub and information from flowers