Uma metodologia baseada em estilos de aprendizagem para recomendação e adaptação de recursos educacionais

Abstract

The evolution of education in the digital context has brought with it unprecedented challenges and opportunities. At the heart of these challenges is the need to recognize and address the individualities of learners in environments that are often vast and heterogeneous. This work focuses on understanding and exploring the relevance of learning styles in learning management systems (LMSs). Using a threefold approach, this study addresses: (i) The recommendation of personalized content based on learning styles, aiming to optimize the educational experience for both educators and students. (ii) The adaptation of the LMS interface, proposing changes that customize the learning experience based on the individual learning styles of the student. (iii) The empirical investigation of the influence of learning styles on academic performance. A case study in a self-instructional Dentistry course revealed that student performance was significantly correlated with the compatibility between their learning styles and the course design. These findings reinforce the idea that, to maximize the autonomy and efficacy of online learning, it is essential to consider the individual learning styles of students. By doing so, we can move towards an educational paradigm that not only recognizes the diversity of learners but also adapts to it.