A personalized adaptive e-learning system based on learner's feedback and learner's multiple intelligences

Abstract

Personalized feedback strategies is a powerful method that expert humans apply when helping learners to optimize their learning. Thus, research on feedback strategies tailoring feedback according to important factors of the learning process has been recognized as a promising issue in the field of adaptive e-learning systems. Our paper seeks to contribute to this area of research by addressing the following aspects: First, to investigate how learners' feedback and learners' multiple intelligences relate to learning outcomes. Second, to explore the influence of the feedback strategies on students' behavior.