A Multi-agent Approach to Providing Different Forms of Assessment in a Collaborative Learning Environment

This paper proposes a multi-agent framework that facilitates provision of different forms of assessment by means of an integrated basis for comparative analysis of different forms of assessment. It is adaptive in the sense that it automatically changes forms of assessment to reach better performance and learning outcomes. The proposed system can be tuned to different contexts and learning materials.