Adaptive learning: toward an intentional model for learning process guidance based on learner’s motivation

Abstract

Abstract The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner’s motivation. One of the major challenges to the mainstream adoption of adaptive learning is the complexity and time involved in guiding the learning process. To tackle these problems, this research proposes an intentional model that adopts Map formalism to support personalized learning guidance by considering learner’s motivation. For that, the intentional model adopts the ARCS model of motivation. The proposed model couples the learner’s intention with the learning strategies and provides a multitude of paths between learner intentions. Based on the learner’s motivation and the corresponding learning mode or the individual learning style, the ITS can adaptively support the learner to achieve his/her intention through the selected strategy. The first results show that this study’s provide implications for both theoretical research and the practical development of ITSs that will help education professionals make full use of ITSs. In the initial tests, the process model has met what was expected, however, more studies with experiments must be carried out.

Keywords

• Intelligent tutoring system
• Guidance
• Motivation
• Learning process
• Intentional model
• ARCS model