Knowledge management and elearning systems points of interaction for successful academiaindustry kno

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Knowledge management and e-learning systems
points of interaction for successful
academia-industry knowledge transfer
A. Antonova, E. Gourova, K. Todorova, R.
Nikolov, Sofia University
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Overview

• Basic concepts
• KM and e-learning features processes
• Points of interactions
• Further work

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The Knowledge dimentions(Knowledge, KM, KMS)

• The knowledge is confident understanding of a
  subject, potentially with the ability to use it
  for a specific purpose.
• Tacit and Explicit knowledge

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The Knowledge dimentions(Knowledge, KM, KMS)

• data - set of discrete, objective facts about
  events
• information - has meaning it has a shape it is
  organized to some purpose.
• knowledge - a bite (of information) is taken,
  chewed, digested, and acted upon that it becomes
  knowledge

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The Knowledge dimentions(Knowledge, KM, KMS)

• KM is a complex discipline, aiming to optimize
  knowledge processes, in order to improve the
  organization ability to take better decisions
  assuring its sustainable development

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The e-Learning dimentions

• e-Learning
• learning or training prepared, delivered, or
  managed using a variety of information
  technologies and which be deployed either locally
  or globally.

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KM, E-learning and society needs relationship
Fig. 1 KM, E-learning and society needs
relationship
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KM processes
Fig. 2 KM processes Source Nonaka and Takeuchi
1995
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Basic processes related to Knowledge Management

• Socialization Transfer tacit knowledge from one
  person to another person
• Externalization Translate tacit knowledge into
  explicit knowledge in a repository
• Combination Combine different bodies of
  explicit knowledge to create new explicit
  knowledge
• Internalization Extract the explicit knowledge
  from a repository that is relevant to a
  particular persons need and deliver it to that
  person where it is translated into tacit
  knowledge
• Cognition Apply tacit knowledge to a business
  problem

defined by Frappaolo, C. and W. Toms l
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Important characteristics of the knowledge worker

• learning ability challenged by the increasing
  situations providing learning opportunities.
• integrative competencies the increase in
  available and accessible data and information
  requires capabilities to identify, assimilate,
  understand and act upon them.
• critical thinking ability to make sense of data
  and information, evaluate them, judge their
  accuracy and reliability.
• information literacy recognize when information
  is needed, and how to locate, evaluate,
  integrate, use and effectively communicate
  information.
• learning how to learn challenge to learn
  rapidly, continuously, flexibility to fulfil work
  responsibilities and maintain their
  employability.

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KMS functionalities

• Basic functionalities of Knowledge Management
  System are to assure integrated Information
  Technologies Solutions in order to improve
• Knowledge generation,
• Knowledge storage,
• Knowledge application
• Knowledge transfer

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Knowledge management and e-learning systems
interactions
Information technologies
Academia
Business
KM
E-learning
Student
Organization
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KM influence over e-learning
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KM influence over e-learning
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E-learning systems approach

• combination of all four approaches to learning
• theory input
• practical experience
• application of theory
• idea generation

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E-learning influence over KM processes
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E-learning influence over KM processes

• New organization should have four main centres
• Operational centre
• Knowledge centre
• Learning centre
• Career management centre

(the Intelligent Complex Adaptive Systems - ICAS)
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Knowledge management and e-learning common
features
Fig KM and e-learning common features in context
of explicite and tatic knowledge
exchange (adapted by Mertins, K., Heisig, P.,
Vorbek, J)
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Knowledge management and e-learning common
features
Fig KM and e-learning common features in context
of explicit and tacit knowledge exchange (adapted
by Mertins, K., Heisig, P., Vorbek, J)
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Practical implementation of technologies for
knowledge management literature research
Fig Technologies for knowledge sharing
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Conclusions

• Common features of both e-learning and KM systems
• Common functionalities and better integration for
  KMS and e-learning
• Further research in the topic will prove the
  practical utilization of the proposed
  methodology, leading to new forms of
  Industry-academia cooperations

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Future work

• Future research efforts will be dedicated on
  better and more effective integration of
  knowledge management capabilities in e-learning
  delivery and powerful use of learning materials
  and activities in the process of knowledge
  manipulation and exchange in organizations and
  institution in order to provide organizational
  success and prosperity.

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Thank you!