Presenting Characteristics Analysis of Online Educational Videos

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering

Final Year Thesis Oral Defense

Title: "Presenting Characteristics Analysis of Online Educational Videos"

by

WU Aoyu

Abstract:

Research in the field of data mining for educational videos can lead to 
improved educational delivery. This project focuses on educational videos 
and presenters' behaviours to identify positive and negative presenting 
characteristics. Initially a survey is conducted in related to educational 
videos on TED talk forums. Then the popularity of such videos is measured 
based on metadata of videos' webpage. The presenters' behaviour is then 
extracted from the video, followed by a clustering procedure which states 
the positive and negative characteristics. The characteristics related to 
presenters' behaviour represent interesting result, that is, limb 
movements and complex sentences are favoured while head movements tend to 
be less popular.

Date                 : 22 April 2017 (Sat)

Time                 : 16:40 - 17:20

Venue                : 2404 (via lifts 17/18)

Advisor              : Prof. Huamin QU

2nd Reader           : Dr. Xiaojuan MA