Contributions in the field of generative models applied in eLearning

Abstract

The integration of ICT in the training process has become important in the evolution of education. Learning objects have emerged as a new way of organizing learning content. Improving the use of learning objects is an important direction in the field of research, several models being created. We propose an approach based on auto-generative learning objects to facilitate learning and assessment for the STEM disciplines. An auto-generative learning object is a pedagogical model developed by the tutor to meet a specific learning objective. It offers different exercises for each instance based on randomly instantiated variables. The answers given by the students are evaluated automatically. We have modeled concepts from several STEM disciplines. After applying them to the class we found that they are effective and appreciated by students.