SENECA: An attention support tool for context-related content learning

In this work, we proposed a tool named SENECA that aims to help the students who follow remote lessons to maintain/capture attention, allowing them to focus on learning led by the context. Among the disadvantages of distance education, especially for subjects who lack awareness, the greatest distractions at home are counted. These distrac- tions cause a movement of the student’s attention from the current lesson to disturbing events. For this reason, there is a need to experiment with new solutions also linked to Information Technology (IT) to improve the focused learning during distance education. Our tool’s technical idea is to create a real-time summary of the topic treated by the teacher. The system captures the text every five minutes, generates outlines, and scratches them and browses them to eliminate repetitive portions after each survey. On the general generated summary, Natural Language Processing techniques are applied to extract categories and keywords. The latter will show the highlights of the speech.