Abstract
This paper presents adjustable autonomy and its application in adaptive course sequencing. The research aims to explore an adaptive course sequencing system (ACSS) which adapts the sequence of learning objects based on the student's profile and learning behaviour using soft computing techniques. The main contribution of this research is to make ACSS user driven by equipping it with adjustable autonomy mechanisms which allows student, tutor or some automated process to set the desired level of autonomous guidance. In addition, the system enables the teacher to reedit the sequence/guidance rules. Hence, we believe that a student will learn better when he/she learn using such a system, a hypothesis the longer term work of this student will seek to confirm. This paper gives an overview of the research area and presents an initial conceptual model which describes the ACSS's units and the relationship between these units.