Influences Personalisation and Student Engagement in the AI Era: Exploring Effects and Influences

The study is based on a conceptual model to examine the integration of artificial intelligence (AI) technologies in education and their impact on student engagement. This model structures the analysis around several axes: AI technologies, including intelligent tutoring systems (ITS), adaptive learning platforms, and educational chatbots, play a key role in personalizing learning paths, making pedagogical support more accessible, and adapting content to students' specific needs. Student engagement is thus assessed through the personalization of pathways and the accessibility of support, while taking into account individual moderating factors such as learning styles, self-motivation, and prior experience with AI technologies, which influence the effectiveness of these tools. In addition, the study examines contextual conditions, including the importance of adequate technological infrastructure and teacher training, which are essential for the successful integration of AI technologies into pedagogical practices. This conceptual model guides the study in evaluating the assumptions made, providing an in-depth understanding of the interactions between these variables and making recommendations to optimize the use of AI technologies in education.