Knowledge Management Educational System and Faculty Allocation in Flexible Curriculum
Dr. P. Nagaraj
The present globalization is essentially an age of knowledge Management. Despite the phenomenal advances in Educational System, made possible today by e-learning, the faculty Allocation in a flexible Curriculum still reigns throughout the world. The paper deals with faculty allocation in a flexible curriculum to minimize total knowledge wastage in educational institution. It describes the problem with its environment, model, and objective, and problem definition, quantitative and mathematical model.
Proper allocation of subject results in higher usage of faculty knowledge and hence higher skills to students. Educational Institutions are now focusing on knowledge management, and knowledge is a new paradigm for effective work. A Unique Design of flexible Curriculum and Creation of faculty database and Knowledge Creation. Derivation of Faculty Knowledge Wastage Index (FKWI) comes under Knowledge Retention. Allocation of faculty by developing and solving the mathematical model comes under Knowledge Transfer and Knowledge Utilization. Knowledge Management System (KMS) is decision-making and problem-solving tool. It consists of computer software programs that emulate the reasoning of a human expert in a problem domain. The KMS comprises User Environment, Operational and Developmental Environment.
The Meta heuristic approaches are robust approaches to tackle the faculty-subject allocation problems. SAA belongs to Meta Heuristics approaches. It adopts Iterative Improvement Strategies (IIS) by perturbing in the direction of a better solution.The SAA consists of a set of iterations.
The Inference Engine of Knowledge Management System uses SAA to provide better solution for faculty allocation. The result obtained using this algorithm is compared with the results from enumerative techniques.It is concluded that the model gives substantial solution for all type of problems and is better than the solution obtained using enumerative techniques.
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