Presentation on theme: "Knowledge management and e-learning systems points of interaction for successful academia-industry knowledge transfer A. Antonova, E. Gourova, K. Todorova,"— Presentation transcript:
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
Overview Basic concepts KM and e-learning features & processes Points of interactions Further work
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. understanding 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 processes Source 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 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
Knowledge management and e-learning systems interactions Business Academia KME-learning Organization Student Information technologies
KM influence over e-learning Demand-side KMApply-side KM Social dimension (people and process) Individual learning Group learning Innovation and IC management Communities of inquiry Think thanks Management planning Training programs Communities of practice Knowledge capture Storytelling KM cultural initiatives Operations management Technology dimension (IT) Knowledge portals Innovation management tools Information portals Intranets Information management Work product management Content management Imaging Groupware
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 KM E-learning
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 Explicit knowledge Tacit knowledge One person (Learner) Organization (team members) E-learning Systems KMSCommon features Collaboration Help desk Communication Project development LOs CMS 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 KMSCMSLMS VC Team VC Learners 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 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.
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