IEEE MultiMedia

Call for Papers: Special Issue "Multimedia Big Data Analytics in Technology Enhanced Learning"

Using digital technologies in teaching and learning has created new challenges for data-based, evidence-driven teaching and learning analytics methods and tools. Such tools can provide better insight into the learning process for individual learners or groups of learners, providing them with learning experiences customized to their profiles and needs. Furthermore, such tools can empower educational organizations and teachers to make more informed educational decisions at the organizational level as well as at curriculum, course, and lesson design levels. At the core of these challenges is multimedia educational content and the interactions of learners (and their tutors) with this content. Collecting, processing, and analyzing multimedia educational data in different formats (including video and images, 2D graphs and 3D virtual worlds, speech and audio, and text and documents) produced from multiple sources (video lectures, digital games, virtual worlds, and social media) is an emerging and promising research area.

This  special  issue  invites  contributions on "Multimedia Big Data Analytics in Technology Enhanced Learning".

You can find more details here:

Submission deadline: 1 September 2017

Best wishes,



Michail Giannakos,

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