In this research work it is presented a preliminary prototype for an ambient intelligence scenario based on cyber-physical systems for improving learning tasks. The system proposed is composed of a cyberglove, a worktable (both with RFID and NFC detection zones) and a AmI software application for modeling and workflow guidance. The authors carried out a case study where 12 mentally handicapped people and 3 trainers were involved executing workflows creation and performing and controlling tasks. The results obtained indicate that this kind of solutions are feasible, but due to the problem complexity and to the fact that the proposed solution is a preliminary version, we have found many issues to be solved in next versions. This research helped us to uncover these issues and design a better system.