A cognitive knowledge-based framework for adaptive feedback

Abstract

Adaptive learning environments provide personalization of the instructional process based on different parameters such as: sequence and difficulty of task, type and time of feedback, learning pace and others. One of the key feature in learning support is the personalization of feedback. Adaptive feedback support within a learning environment is useful because most learners have different personal characteristics such as prior knowledge, learning progress and learning preferences. In a computer-based learning environment, feedback is considered as one of the most effective factors which influence learning. Although, there are various tools that provide adaptive feedback in learning environments, some problems still exist. One of the problems we are looking into is How to design effective tutoring feedback strategies? We propose a cognitive knowledge based framework for adaptive feedback, which combines the three facets of knowledge (pedagogical, domain and learner model) in a learning environment, using concept algebra.