Since technological systems have been at the service of the teachers training, intelligent tutoring systems (ITS) have been used, often on an experimental basis, to support induction, that is the progressive entry of inexperienced teachers into the teaching profession. After recalling the specificity of intelligent tutoring systems - the exchange between the 'knowledge', 'student', 'tutoring' as a user interface model -, the work describes the process and outcomes of a scoping review relating to the implications of ITS in the teacher training, in general, and induction, specifically. Thus, some prerequisites are identified for effective and ecosystem-based co-planning between expert teachers, training modelers and data scientists for the development of ITS useful for teacher training.