The present article constitutes a systematic review of the literature with the objective of
identifying the appropriate elements that must be considered when designing and creating …

Traditionally, the task difficulty level is often determined by domain experts based on some
hand-crafted rules. However, with the adoption of Massive Open Online Courses (MOOCs) …

Exercises refer to the evaluation metric of whether students have mastered specific
knowledge concepts. Linking exercises to knowledge concepts is an important foundation in …

We developed a system for programming practice that provides adaptive feedback based on
the presence of confusion on the student. The system provides two types of adaptive …

We discuss an approach in procedurally generating coding exercises for programming
practice without using parameterized questions. We applied our approach in the …

This paper investigates the influence of learner personality and learning styles on the
selection of different styles of learning materials. We considered the big five personality traits …

Adapting to learner characteristics is essential when selecting exercises for learners in an
intelligent tutoring system. This paper investigates how humans adapt next exercise …

This paper investigates the impact of personality (openness to experience, emotional
stability and self-esteem) on the selection of learning activities. We ran six focus groups. The …

In the last decade, the immense growth of computational power, enhanced data storage
capabilities, and the increasing popularity of online learning systems has led to adaptive …

Dans le cadre de cette thèse, nous souhaitons définir un processus de personnalisation des
activités de l'apprenant, indépendamment de la discipline et du niveau concernés. Ce …