ARTICLE
TITLE

A Multi-agent Model to Mitigate Knowledge Loss in Continuous Academic Quality Improvement Effort

SUMMARY

In academic management, it is a lecturer’s task to ensure that the delivery of a subject complies with the syllabus and curriculum design. In most cases, lecturers have their own way of managing their classes, aided by a personally prepared lesson plan. Usually, the contents of the lesson plans change from one semester to another, either due to a change of the lecturer in charge or improvement in delivery and assessment. However, these changes are not comprehensively tracked and documented to show improvements made on the subject, which is beneficial for curriculum design review. Consequently, subsequent curriculum review fails to consider the necessary changes for improvement in the curriculum. To mitigate the effect of this knowledge loss in tracking these changes, we propose a multi-agent knowledge management approach to conceptualise a framework in tracking and capturing lecturers’ initiatives for improving the course delivery, and this can be further integrated as the change process in CQI for curriculum design review. Quantitative and qualitative analysis approaches are deployed to identify the change and update processes that lecturers adopt in updating their course delivery. This is followed by a study in multi-agent system to be applied in animating the processes. A knowledge management framework is then synthesised by considering the dynamics of the change processes to manifest the tracking and capturing of new knowledge in course delivery. The outcome of this research is a model of knowledge management process that captures the knowledge of course delivery changes made by lectures. The outcome is significance in contributing to the CQI in curriculum design review.

 Articles related

Aissam Belghiat,Elhillali Kerkouche,Allaoua Chaoui,Mokhtar Beldjehem    

Mobile agent-based applications are special type of software systems which take the advantages of mobile agents in order to provide a new beneficial paradigm to solve multiple complex problems in several fields and areas such as network management, e-com... see more


Christian Pereira Tavares, Cleo Zanella Billa, Diana Francisca Adamatti    

Este artigo consiste em uma extensão ao modelo de emoções e de personalidades baseado em sistemas multiagente, na qual, para que os agentes sobrevivam, eles necessitam realizar trocas de recurso. A inicialização deste modelo tem valores fixos para a pers... see more


Gülçin Bektur    

In this study, a multi-resource agent bottleneck generalized assignment problem (MRBGAP) is addressed. In the bottleneck generalized assignment problem (BGAP), more than one job can be assigned to an agent, and the objective function is to minimize the m... see more


Arwin Datunaya Wahyudi Sumari,Adang Suwandi Ahmad    

Quick, accurate, and complete information is highly required for supporting strategically impact decision making in a Military Operation (MO) in order to reduce the decision cycle and to minimize the loss. For that purpose, we propose, design and impleme... see more


Mihaela Oprea    

Many real-world applications are mapped into combinatorial problems. An example of such problem is timetable scheduling. In this case, the two basic characteristics can be defined by its distributed and dynamic environment. One efficient solution to solv... see more