Discovering the prerequisite relationships among instructional videos from subtitles

Official URL: https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_99.pdf

Nowadays, students prefer to complement their studies with online video materials. While there are many video e-learning resources available on the internet, video sharing platforms which provide these resources, such as YouTube, do not structure the presented materials in a prerequisite order. As a result, learners are not able to use the existing materials effectively since they do not know in which order they need to be studied. Our aim is to overcome this limitation of existing video sharing systems and improve the learning experience of their users by discovering prerequisite relationships among videos where basic materials are covered prior to more advanced ones. Experiments performed on commonly used gold standard datasets show the effectiveness of the proposed approach utilizing measures based on phrase similarity scores.