Leveraging Technologies to Facilitate Change in Education Systems

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The time is opportune for India to make its transition to the knowledge economy – an economy that creates, disseminates, and uses knowledge – to enhance its growth and development. Universities are now experiencing competitive pressures resulting from the reduction in government financial support and the consequent need for enterprising approaches to revenue generation.

Universities need to be consciously and explicitly managing the process associated with the creation of their knowledge assets and to recognise the value of their intellectual capital to their continuing role in society and a wider global marketplace for higher education. Almost all institutions whether public or private engaged in imparting higher education within or any part of the globe will store, access, capture, share and deliver knowledge from faculty members to students and community. The total advancement and adaptation of technologies in any organisation would depend upon the management strategy, availability of funds and the procedures adopted. The most common techniques used for managing knowledge assets are:-

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Decision Support techniques – They are tools services as data mining, simulators, artificial intelligence or the integration of all of them in an OLAP (Online AnalyticalProcessing). By making right information available at the right time to the right decision makers, in the right manner, data warehousing and decision support technologies empower employees to become knowledge workers with the ability to make the right decisions and solve problems creating strategic leverage for the organisations.

Groupware solutions- It is to apply variety of computer based systems designed to allow people to communicate with each other to complete projects. The most common feature of group solutions  re electronic mails and messaging online calendars or diaries of employees; project management , Total Quality Management and environmental manuals document
and best practices (expert diaries or yellow pages) desktop video conferencing online catalogues of library materials book , journals articles and workflow tools. Following are some of the techniques, the use of which will enhance the competitive capacity of Knowledge Management (KM) in Higher education. Data Mining: It is a process of discovering meaningful new co-relations, patterns and trends by sifting through large amount of data stored in repositories and by using pattern recognition technologies as well as statistical and  mathematical techniques by Gartner Group. e-Learning: e-Learning is the use of electronic  multimedia technology to deliver education, information skill, knowledge and individual learning programmes to large audiences , potentially around the globe ,

Dr. M.S.Rawat using internet and other technology based systems. E-learning is one of the  most important Knowledge Management (KM) practices, something which one would expect
higher education institutions to have as an advantage. Yet these e-learning opportunities are geared most often to student as online customers, not to employees as part of capitalising on their knowledge as an intellectual asset. Total Quality Management in Higher Education (T.Q.M): Some colleges and universities are beginning to recognize the T.Q.M values as more compatible with higher education than existing management system”. TQM in any  rganization is a dynamic and progressive approach. The success of TQM would largely depend on the educational leaders/administrators accepting responsibility for providing better  quality of services. It calls for redesign of work systems, redefining objectives, roles and responsibilities .In such a process “quality”  is the permeating ethic in community and organisation delivering maximum welfare. Human Resource Information System
(HRIS) in context of Higher Education:
The establishment of HRIS looks towards the integration and support for three essential, corporate processes: strategic planning, operational planning and human resource planning (including career planning). The essential components of an HRIS are accuracy, combined with timeliness, to increase reporting capacity and controlling the whole systems to achieve accuracy, confidentiality. HRIS, moves from isolation to integration and facilitates holistic approach of education. Basic objective of HRIS include standardisation of activities and processes, reduced paper work, information at fingertips, improved service delivery, enhanced efficiency at work, enables effective analysis, student self service (SSS)/Open systems, web systems/analysis, web systems/user’s ID/passwords for users’s perspective.
Digital Dashboards:
A digital dashboard is customised solution for knowledge workers that consolidates personal,  team, corporate and external information and provides single click access to analytical and
collaboration tools. It brings an integrated view of a company’s knowledge source to an individual’s desktop, enabling better decision making by providing immediate access to key business information.
Statistical Analysis Systems (SAS):
Large amount of data database can be transformed into meaningful intelligence resources. SAS provides a powerful and comprehensive suite of solution and services form decision support administrative solutions to curriculum resources. Educational professionals can turn to SAS to get accurate, critical, and timely information they need. SAS offer capabilities in various categories, which include i) Enrolment Management, ii) Institutional Advancement, iii) Institutional Effectiveness, iv) Operational Efficiency, v) Online Curriculum, The choice of any technology project is a complex issue to be wisely considered after taking strategic considerations such as: Budgets and time suitability;
Value of Knowledge Management in terms of tangible and visible advantages; Changing requirements of institutions;

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