The main priority tackled in the colMOOC project identifies that there is a need to make MOOCs more collaborative to support teachers and engage and motivate students.
Conversational pedagogical agents guide and support student dialogue using natural language both in individual and collaborative settings. Conversational agents have been produced to meet a wide variety of applications and studies exploring the usage of such agents have led to positive results.
Integrating this type of conversational agents into MOOCs to trigger peer interaction in discussion groups is expected to considerably increase the engagement and the commitment of online students (and, consequently, reduce MOOCs dropout rate).
With the usage of learning analytics more meaningful assessment may be achieved, since educators can evaluate the work's progress during each step and adapt the following steps accordingly.
The ‘colMOOC' project objective is to promote learners' interaction in prototype MOOC courses by integrating in MOOC platforms a conversational agent that triggers learners' constructive dialogue by posing challenging questions.
This project has been funded with support from the European Commission. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
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