We present an intelligent tutoring system for teachers, which was designed to support them while they learn and adapt a learning scenario for their teaching. The system is a learning environment where teachers can explore different learning scenarios and get advice on the criteria for choosing among them. Then they choose a “case study” scenario and learn to adapt it to their own context. Different kind of support are given during the interaction with the system, declarative and procedural help is presented as indexed help on each activity, but also as contextual help using a rule based advice system. The system was experimented with eight teachers (four academic and four from industry), who succeeded to adapt the ‘case study” scenario to their own context. The evaluation and discussion present what help they found more useful and how the system could be improved.