Using Visual Feedbacks in an Augmented Video-based Learning Tool

In this paper, we face the problem of using video-based learning with multimedia content, which is expected to assume a prominent role in the post-pandemic world. In this respect, we have investigated the possibility of developing new services with suited visual interfaces, to further exploit its potential. Such novel services want to integrate the knowledge extracted from multimedia materials into educational applications. To do this, our approach is that of extracting the theoretical concepts included in a video lesson and describing the prerequisites relations between them, according to the knowledge base of the subject matter of the video itself. Such an addition of knowledge allows creating augmented video lessons and providing learners with new methods to browse videos and perform a non-linear navigation of their learning materials, by means of visual feedback methods. To this aim, we designed a custom web-based video player to support video-based learning, implementing these ideas. From the relevant literature we argue that this approach can be effective from an educational point of view but such effectiveness can be achieved only if the proposed video player is an easy-to-use tool, thus, we made a preliminary evaluation to assess the usability of the proposed system and results are presented.