1. Trust, Collaboration, e-learning, & Organisational Transformation Edinburgh February 11 th 2003 Jon Mason Paul Lefrere jmason@educationau.edu.aup.lefrere@open.ac.uk

2. Three Models –Relationship between data, information, & knowledge and learning, education & training –Trust as a common & central component to activities & outputs of developing e-learning infrastructure –Seven facets of knowing One Schema –Scoping interoperability Overview

3. Argument: Trust & Collaboration two sides of one coin – … organising principles of knowledge economies Assumptions & Observations: E-learning industry only beginning Convergence of KM & e-learning practices Data, information, knowledge all intermeshed Learning, Education, and Training best modeled as complex adaptive systems Slide 3

4. Fundamental choice Culture of Trust versus Culture of Suspicion: Value Many cultural aspects Hi-trust & Lo-trust societies (Fukuyama) Organisational culture Rarely a single factor (except in betrayal) Trust is given, not conscripted An enabler in sense-making Performance Teams & Teaming Transactional costs Trusted technologies are the winners A few words on Trust

5. Not a virtue in itself Al Qaeda Internet architecture & culture Networks, networks, networks (Castells) Information & Communications Technologies Communities of Practice Goal oriented Fundamental tool for learning Individuals still count! A few words on Collaboration

6. The story of the creation and development of the Internet is one of an extraordinary human adventure. It highlights peoples capacity to transcend institutional goals, overcome bureaucratic barriers, and subvert established values in the process of ushering in a new world. It also lends support to the view that cooperation and freedom of information may be more conducive to innovation than competition and proprietary rights. Manuel Castells A few words on Collaboration

7. learning is the engine of practice, and practice is the history of that learning. Etienne Wenger A few words on Learning

8. verbs nouns Data Information Knowledge Meaning Context & Application Complex Adaptive Systems Recursive Cycles Know Learn Reflect Communicate Communities of practice Organisations Individuals context Sense-making Application Meaning

9. Know Where Who Why What If When How Knowledge Management Perspectives

10. Collaborative Activities Outputs Consensus Building Knowledge Sharing Standards & Protocols Technologies that Work TRUST

11. Interoperability Political Agreeing to common goals & ground rules for achieving mutual benefit Jurisdictional Mapping legal, regional interests Semantic Achieving common understanding, common meanings (eg Dublin Core) Cultural Communities of Practice, workflow Syntactic Sharing grammars, templates, … Technical Systems exchanging data & services

12. Questions?

13. Transforming E-Knowledge Donald Norris, Jon Mason, Paul Lefrere www.transformingeknowledge.info