READIT - 2009 - Indira Gandhi Centre for Atomic Research

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Knowledge Management for Improving Teaching – Learning Process in Higher Learning Institutions D.Gnanasekaran * , S. Balamurugan ** and R. Karpagam ** * Bharathiar University, Coimbatore ** Anna University Chennai, Chennai – 600 025. Email: dsekarg@gmail.com ; muruganbalas@indiatimes.com ; karpagam.au@gmail.com ABSTRACT This article discusses the origin and dimensions of knowledge, definitions of knowledge management, the need and process of implementing the knowledge management in the higher learning institutions, and various ICT tools involved in knowledge management. The role of the library professionals in implementing the knowledge management and various skills and capabilities they must posses are also discussed. Keywords: Knowledge Management, Knowledge Sharing, E-Learning, Knowledge Implementation, Knowledge Management Tools, Knowledge Management Process. 1. INTRODUCTION The most of the activities in the academic institutions are based on information and knowledge. The organisations depend on the library for their information and knowledge needs. The knowledge requirement of the members of the organisation is ever changing. In the IT era more and more information and knowledge are produced at each and every moment. Since all these information are not valuable the libraries need to filter them and provide valuable, relevant and right information at the right time to its members that is the main goal of the libraries. Management of information and knowledge is essential to an organisation to achieve its goal. The application and practice of knowledge management in libraries elevate the present system which can be achieved for the betterment of both members and institution. 2. ORIGINS OF KNOWLEDGE The knowledge depends on two factors namely Data and Information Data – This is a set of unfiltered, unprocessed and unorganized facts about an event which is discrete content and does not make much sense by itself. It has little use in itself unless converted into information. Information – There are firms and organizations whose very survival rests solely on their effectiveness and efficiency in handling and keeping the raw data. Well processed and organized data gives information. Davenport & Prusak 8 proposed a five ‘C’ processes for converting data into information and the same is shown in figure .
2 Fig : 1. Five ‘ C ‘ Model Knowledge – Knowledge is a fluid mix of contextual information, framed experience, values, assumptions, beliefs, intelligence, expert insight and grounded intuition that provide an environment and framework for evaluating and incorporating new experiences and information. The knowledge is constantly tested, updated and revised. A good chunk of the knowledge is not stored in databases but in the minds of people who work in the organization. Only a minuscule portion of the knowledge gets formalized in databases, books, manuals, documents, and presentation; the rest of it stays in the heads of people. Knowledge is the key resource for effective planning and predictive decisions being made at every minute. 3. DIMENSIONS OF KNOWLEDGE There are two dimensions of knowledge namely Tacit and Explicit. Tacit knowledge is considered as personal which is referred as skills, know-how, insights, judgments and intelligent which are embedded in the minds of the people and that it is difficult to communicate to the rest of the institution. Explicit Knowledge is a knowledge that has been/can be articulated, codified, expressed, captured and documented in certain media such as manuals, procedures, patents, standards, online databases and websites, audio-visual works of art and product design and so on which can be readily transmitted to others. 4. KNOWLEDGE MANAGEMENT Although knowledge management concepts have been around for a long time, the term knowledge management seems to have arisen in the mid 70’s. Nicholas Henry 12 uses “Knowledge management” in a manner that resembles our current understanding of the expression. Defined broadly “KM is the process through which organizations extract value from their intellectual assets”. 3 Knowledge management caters to the critical issues of organizational adaptation, survival and competences in face of increasingly continuous environment change. The most common definition describes Knowledge Management as a set of processes directed at “Creating, Capturing, Storing, Sharing, Applying and Reusing” knowledge. 10 Successful business knows that their key assets are not in its buildings, its market share or its products, but it lay in the heads of its people. Market value of an organisation is derived not only from its physical and financial assets, but also from the intangible assets it creates through knowledge based activities. Intangible assets
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National Conference on Recent Advan
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Foreword The 7th biennial national
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access to information resources. RF
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Organising Committee READIT-2009 Ch
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Invited Presentations: CONTENTS Ses
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C. Jaykumar, E. Soundararajan, V. R
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Session-I: Semantic Web Technologie
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Proceedings of READIT-2009, Kalpakk
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Session-III: Open Source Solutions
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Session-IV: Knowledge Management Pr
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totally around Internet protocols a
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Linux has been under continuous dev
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Page 163 and 164: upon by indwelling and is the basis
Page 165 and 166: new, and its combination of new ide
Page 167 and 168: o Knowledge: Both explicit and taci
Page 169 and 170: Knowledge Management Practices in L
Page 171 and 172: To these paraphrases of Macintosh
Page 173 and 174: (iii) Healthy interactions among pr
Page 175 and 176: 9. CONCLUSION Knowledge management
Page 177 and 178: Ontologies define a common vocabula
Page 179 and 180: to have an environment that allows
Page 181 and 182: CDPS PC System Based SS-I SS-II RAA
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Page 185 and 186: - (Many more) 3 Chemical Factors a.
Page 187 and 188: 6.2.2 Software The Softwares requir
Page 189 and 190: 7.1.3 Current Work As the above pro
Page 191 and 192: Treatment process 7.2.6 Drying Afte
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Page 195 and 196: Knowledge Management - An Organizat
Page 197 and 198: 5. KNOWLEDGE MANAGEMENT ACTIVITIES
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Page 203 and 204: ecover data when a disk fails and r
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Page 209 and 210: 3. KNOWLEDGE MANAGEMENT: SOME DEFIN
Page 211 and 212: It is to create a set of effective
Page 213: REFERENCES 1. Banka Bihari Chand (2
Page 217 and 218: 4 Knowledge acquisition is the star
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Page 221 and 222: 8 Knowledge sharing is enhanced by
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Page 225 and 226: 12 10. REQUIRED SKILLS AND CAPABILI
Page 227: 14 Wireless Communication, Networki
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READIT - 2009 - Indira Gandhi Centre for Atomic Research

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