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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
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
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’
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
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.”
KM, E-learning and society needs relationship
Society (organizational or individual) needs
of knowledge acquisition and
sharing
KM development
E-learning development
Fig. 1 KM, E-learning and society needs relationship
KM processes
Tacit knowledge
Explicit knowledge
Tacit knowledge
Explicit knowledge
To
From
(Socialization)Sympathized knowledge
(Externalization)Conceptual knowledge
(Internalization)Operational knowledge
(Combination)Systematic knowledge
Fig. 2 KM processesSource Nonaka and Takeuchi 1995
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 person’s 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
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.
KMS functionalitiesBasic functionalities of Knowledge Management System are to assure integrated Information Technologies Solutions in order to improve
Knowledge generation, Knowledge storage, Knowledge application Knowledge transfer
Knowledge management and e-learning systems interactions
Business Academia
KM E-learning
Organization Student
Information technologies
KM influence over e-learning Demand-side KM Apply-side KM
Social dimension (people and process)
Individual learningGroup learningInnovation and IC
managementCommunities of inquiryThink thanksManagement planning
Training programsCommunities of practiceKnowledge captureStorytellingKM cultural initiativesOperations management
Technology dimension (IT)
Knowledge portalsInnovation management
tools
Information portalsIntranetsInformation managementWork product managementContent managementImagingGroupware
E-learning systems approach
combination of all four approaches to learning:
theory input;practical experience;application of theory; idea generation
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)
Knowledge management and e-learning – common features
Explicitknowledge
Tacit knowledge
One person (Learner)
Organization(team members)
E-learning Systems
KMSCommon features
CollaborationHelp desk
Communication Project
developmentLOsCMS
Fig: KM and e-learning common features in context of explicite and tatic knowledge exchange
(adapted by Mertins, K., Heisig, P., Vorbek, J)
Knowledge management and e-learning – common features
KMS CMS LMS
VCTeam
VCLearners
Fig: KM and e-learning common features in context of explicit and tacit knowledge exchange
(adapted by Mertins, K., Heisig, P., Vorbek, J)
Practical implementation of technologies for
knowledge management – literature research
25% 23% 23%
18%
12% 10% 9% 9%6% 5% 5%
0%
5%
10%
15%
20%
25%
30%
Fig: Technologies for knowledge sharing
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
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.