Evaluation of Student Perceptions and Interests Using Spoken Tutorials in Online Courses

We evaluate the perceptions and the intensity of students who study online courses using video tutorials. Using the data of the past viewers, and the concept of similarity of interest, we recommend videos for further learning. As the total number of videos in the repertoire is large, this helps reduce the information overload. Although spoken tutorials are used for this study, the results are generic. This work is based on an empirical model obtained through a data mining approach.