The colMOOC: Integrating Conversational Agents and Learning Analytics in MOOCs

Of European scope.

Higher Education Massive Open Online Courses (MOOCs) introduce a way of transcending formal higher education by realizing technology-enhanced formats of learning and instruction and by granting access to an audience way beyond students enrolled in any one Higher Education Institution. The potential for European HEIs to scale up and reach an international audience of diverse backgrounds has not been realized yet. Although MOOCs have been reported as an efficient and important educational tool, there is a number of issues and problems related to the educational aspect. More specifically, there is an important number of drop outs during a course, little participation, and lack of students’ motivation and engagement overall. This may be due to one-size-fits-all instructional approaches and very limited commitment to student-student and teacher-student collaboration. Our project aims to enhance the MOOCs experience by integrating: • Collaborative settings based on Conversational Agents (CA) both in synchronous and asynchronous collaboration conditions • Screening methods based on Learning Analytics (LA) to support both students and teachers during a MOOC course • Reinforce European leadership by forming recommendations and policy guidelines 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 ...

Researchers

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Santi

Caballé Llobet

Leader

Jordi

Conesa Caralt