An Nguyen Thi Bich Nga creator Haddawy, Peter Chairperson Guha, Sumanta Examination Committee Vatcharaporn Esichaikul Examination Committee Ministry of Education and Training VietNam Scholarship Donor text series technical report th Pathum Thani, Thailand Asian Institute of Technology 2003 continuing eng 51, [5] p. Appropriate feedback and improvement support are essential factors that constitute the effectiveness of an assessment system. This study proposes an adaptive assessment system that aims to enhance those factors. For each module of knowledge tested, a meaningful feedback is reported which points out exactly which fundamental components included in the module is currently at risk. The system then recommends student review materials and offers multiple traits adaptive assessment, that has ability to focus on improving weak points, as an efficient way to help student improve their performance in these components. Current assessment systems do not support tracking and analysing information as well as provide feedback and tailored support for fundamental components included in assessed module. Due to this fact, the system is proposed as a way to make performance improvement process of student in E-Learning more efficient. The major challenges of this study have been to point out exactly the risk fundamental components and generate a multiple traits adaptive assessment that content focus on improving these weaknesses. The contribution of this study is an E-Business course with embedded adaptive assessment system that can be used over Intranet or Internet. ASP.Net technology and SQL Server are used in implementation. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies Thesis (M.Eng.) - Asian Institute of Technology, 2003 Computer-assisted instruction Educational technology Educational evaluation Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B11512 http://203.159.5.9/ait-thesis/detail.php?q=B11512 040723 20260817161520.0