Artificial Intelligence in Learning Skills Assessment: A Pedagogical Innovation

Abstract

Competency-based learning assessment has recently undergone an important development in the field of education. Its objective lies on offering learners the necessary skills to follow the enormous development of their environment, and to acquire the essentials capacities for various forms of interaction. This type of assessment is characterized by a diagnosis, remediation and improvement of the learners' skills without being limited to the assessment of knowledge. In this work, we propose an evaluation approach which is based on skills assessment strategy with interesting precision. Thus, the intelligent system detects the degree of learning skills C1 (Appropriate), C2 (Analyze and Reason), C3 (Realize), C4 (Validate) and C5 (communicate). In fact, the system used detects the level of the class in the different skills mentioned above, and offers educational situations to remedy the shortcomings that are encountered. Likewise, it offers the necessary support for each student by offering pedagogical situations whose objective is to increase the level of each learner skills (individualized assessment). The system also helps the teacher to make decisions to provide adequate supports. This device allows complete training for students, and it contributes to the development of a balanced (harmonized) personality in learning skills. This artificial intelligence that is involved allows performance while permanently monitoring each student. In fact, it allows a judicious evaluation which follows the enormous progress by adopting an automated method which takes into account the competence level of each pupil.