Characterizing Knowledge Maturing - A Conceptual Process Model Integrating E-Learning and Knowledge Management

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Andreas Schmidt

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Formation Business

Characterizing Knowledge Maturing: A Conceptual Process Model for Integrating E-Learning and Knowledge Management 2 University of Innsbruck School of Management Information Systems [email_address] http://iwi.uibk.ac.at/ 2 FZI Research Center for Information Technologies Information Process Engineering Karlsruhe, GERMANY [email_address] http://www.fzi.de/ipe Ronald Maier 1 Andreas Schmidt 2

Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Motivation ,[object Object],[object Object],[object Object],[object Object]

Observations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Knowledge Maturing Process Emergence of ideas Distribution in Communities Formali- zation Formal training new ideas common terminology ad hoc incorporation into training entering into common curricula communication artefacts FAQ entries forum contributions text books courses certificates redesign of the organisation learning objects patents best practices personal notes Ad hoc training project reports case studies lessons learnt formal structure Information artefacts e-learning knowledge management HR development informal learning formal learning

Characteristics (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Characteristics (2) ,[object Object],[object Object]

Disruptions in the Process Emergence of ideas Distribution in Communities Formali- zation Formal training new ideas common terminology ad hoc incorporation into training entering into common curricula communication artefacts FAQ entries forum contributions text books courses certificates redesign of the organisation learning objects patents best practices personal notes Ad hoc training project reports case studies lessons learnt formal structure Information artefacts

Formalization vs. Ad-hoc Training ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Distribution in Communities vs. Formalization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Outlook ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Learning comes through creating and applying knowledge, whilst learning increases an individual's and organization's knowledge asset. Both e-learning and knowledge management feed off the same root: learning, improved capacity to perform work tasks, ability to make effective decisions, and positively impact the world around us. The difference between KM and e-learning is a function of time; knowledge management is dynamic, e-learning is static. As a medium, e-learning allows for the sharing of knowledge that has been tested, researched and organized. Knowledge management is much livelier. Conversations and sharing understanding happens in real time. Through KM, tacit understanding can be communicated,problems can be jointly solved, and serendipitous connections are formed. KM is chaotic, current. KM is ecology; e-learning is the architecture. E-learning courses become outdated, while KM environments are continually fresh and reflective of current activity in a field. Anyway, the strengths of the two fields need to be brought together. KM should feed into e-learning in order for the content of the "course" to remain fresh and to tap learners into a sustained knowledge environment after the course is done and e-learning should feed into the KM environment to provide easy mechanisms for organizing information in the manner that most of the people function. Thereis no doubt that converging this two technology creates bigger impact in the learning process, but our discussion is focused to justify whether the convergence creates better value or not. In the light of the discussion, the conceptual link between these two key technologies has been drawn and several related issues are discussed.3.

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Characterizing Knowledge Maturing - A Conceptual Process Model Integrating E-Learning and Knowledge Management

1. Characterizing Knowledge Maturing: A Conceptual Process Model for Integrating E-Learning and Knowledge Management 2 University of Innsbruck School of Management Information Systems [email_address] http://iwi.uibk.ac.at/ 2 FZI Research Center for Information Technologies Information Process Engineering Karlsruhe, GERMANY [email_address] http://www.fzi.de/ipe Ronald Maier 1 Andreas Schmidt 2

5. Organizational Information Processing

6. Knowledge Maturing Process Emergence of ideas Distribution in Communities Formali- zation Formal training new ideas common terminology ad hoc incorporation into training entering into common curricula communication artefacts FAQ entries forum contributions text books courses certificates redesign of the organisation learning objects patents best practices personal notes Ad hoc training project reports case studies lessons learnt formal structure Information artefacts e-learning knowledge management HR development informal learning formal learning

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11. Disruptions in the Process Emergence of ideas Distribution in Communities Formali- zation Formal training new ideas common terminology ad hoc incorporation into training entering into common curricula communication artefacts FAQ entries forum contributions text books courses certificates redesign of the organisation learning objects patents best practices personal notes Ad hoc training project reports case studies lessons learnt formal structure Information artefacts

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Characterizing Knowledge Maturing - A Conceptual Process Model Integrating E-Learning and Knowledge Management

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Characterizing Knowledge Maturing - A Conceptual Process Model Integrating E-Learning and Knowledge Management