An approach for externalization of expert tacit knowledge using a query management system in an e-learning environment

Authors

  • Abdul Azeez Khan B.S.Abdur Rahman Univeristy
  • Sheik Abdul Khader B.S.Abdur Rahman University

DOI:

https://doi.org/10.19173/irrodl.v15i6.1935

Keywords:

e-learning system, expert finding, knowledge management, tacit knowledge, knowledge sharing, knowledge capture

Abstract

E-learning or electronic learning platforms facilitate delivery of the knowledge spectrum to the learning community through information and communication technologies. The transfer of knowledge takes place from experts to learners, and externalization of the knowledge transfer is significant. In the e-learning environment, the learners seek subject expertise to clarify their subject queries, and a learner query can be routed to an expert for externalization of expert knowledge provided the learner knows the subject expert or the expertise group. However, learners new to e-learning systems are not aware of the expertise group to which the query should be sent, which results in time delays, non-response, inaccurate solutions and loss of knowledge capture. Several models have been proposed to resolve this task, but thus far, these efforts have focused completely on returning the most conversant people as experts on a particular topic to retrieve valuable knowledge. To address this problem, we propose an approach that externalizes the tacit knowledge of a subject expert by creating a dynamic query handling system that automatically transfers a user query to the best subject expert.

Author Biographies

Abdul Azeez Khan, B.S.Abdur Rahman Univeristy

Assistant Professor,

Department Of Computer Applications.

Sheik Abdul Khader, B.S.Abdur Rahman University

Professor & Head,

Department Of Computer Applications.

Published

2014-10-29

How to Cite

Khan, A. A., & Khader, S. A. (2014). An approach for externalization of expert tacit knowledge using a query management system in an e-learning environment. The International Review of Research in Open and Distributed Learning, 15(6). https://doi.org/10.19173/irrodl.v15i6.1935

Issue

Section

Research Articles