A virtual laboratory for multiagent systems: Joining efficacy, learning analytics and student satisfaction

This study introduces a distributed virtual laboratory for a multiagent programming course which has been very satisfactorily adopted by students, with a success rate of nearly 80%. It also aims at capturing the daily activity of students, providing the basis for data-driven assessment. Finally, it also allows for using process mining technologies to unveil successful and failed behaviors of students enabling the teacher for an early detection and intervention to improve their learning experience.