Assessment of Scientific Learning Skills Based on Artificial Intelligence

The importance of taking an interest in improving scientific skills is to equip learners with the attitudes of reflection and behavior in the face of the different pedagogical situations that may arise. Considering the different information resources and the existing advanced technological means, these scientific skills will offer learners a kind of learning autonomy. In this sense, we are interested in proposing an evaluation process for scientific skills, namely: $C_{1}$: Appropriate, $C_{2}$: Analyze and reason, $C_{3}$: Realize, $C_{4}$: Validate and $C_{5}$: Communicate, using artificial intelligence based on the decision tree. This allows the teacher to monitor the scientific skills assessment of his students and to establish a progress report of their scientific skills evolution. The essential objective is to achieve a regularization of scientific skills in order to meet the needs of learners. In fact, this research offers an intelligent strategy that helps the teacher to predict the level of scientific skills acquisition of his students in order to make the right decisions at the appropriate time. This allows a dynamic assessment of the scientific skills to be transmitted and a progression of the learning operation which allows equity between the learners according to their learning capacity.