Simple Sequencing and Selection of Learning Objects using Fuzzy Inference

Abstract

The adaptive sequencing of learning objects defines the order in which topics (and didactic resources) in a course will be presented to learners, considering for this their previous knowledge and their particular goals. Once a sequence is proposed each topic can be supported by different didactic materials, the system must select those that are appropriate for the learner's particular needs. The challenge is that both of these tasks are based on subjective information, for example the learner knowledge, preferences, learning style, and even assessment results can be perceived differently depending the context. In this paper we propose an extension to the IMS simple sequencing specification, using fuzzy inference rules.