DESIGN OF AN ADAPTIVE LEARNING SYSTEM AND EDUCATIONAL DATA MINING
Zhiyong Liu, Nick J. Cercone · 2016
Within e-learning environment and research, adaptive learning systems (ALS) can provide an adaptive learning environment that intelligently adapts to a user's needs by presenting suitable information, instructional materials, feedback, and recommendations based on the user's unique individual characteristics and situation. This chapter discusses three main contributions of data mining to adaptive learning systems (ALS), including prediction, classification, and recommendation. One of the most special features of ALS is the user model that represents essential personalized information about each user. The ALS model consists of the storage module, the user model module, the reasoning module, and the management module. The reasoning module's main functions are to support student learning activities. This module is responsible for filtering knowledge points (KP's) filtering, searching and organizing learning resources, generating a learning program, and updating the user model and the knowledge base.