This thesis focuses on standardization in the field of distance learning. Among the many proposed standards, our interest focuses on the enrichment of latest standard proposal, which is the IMS-LD standard. We would therefore introduce the standardization relevance notion which means the ability of IMS-LD prescribes learning scenarios that actually meet certain educational principles. For our research, we focused on an essential component of learning (Leontiev, 1981), it is the motivation to learn. From this thesis, we obtained three main results validated by conducting case studies: first, is an activity theories’ posteriori design based approach; It describes, from traces, the actual learning activity scenario taking into account its human factors. The second result is a taxonomy based on the speech acts theory; it allowed us to translate some motivation components as a set of speech acts observed in « Chat » discussion. The third result is a motivation descriptive model that reflects, from the traces, the perceptions and their origins. This model uses our taxonomy and is based on the adjacency pairs concept derived from conversational analysis. Finally, our conclusions explain further, our secondary results and provide opportunities for continuing our question about standards relevance.
