Title :
Exploring Student Viewing Behaviors in Online Educational Videos
Author :
Kleftodimos, Alexandros ; Evangelidis, Georgios
Author_Institution :
Dept. of Digital Media & Commun, TEI of Western Macedonia, Kastoria, Greece
Abstract :
Online video use in education is an expanding trend and research that focuses on how students view educational videos becomes of particular interest. In our previous work, we argued that in order to conduct a detailed analysis of the learner viewing behavior we have to deploy tools that log the learner activity and assist statistical analysis and data mining. Working towards this direction, a framework for recording and analyzing learner behavior was presented. This paper presents findings of applying this framework into educational settings.
Keywords :
computer aided instruction; data mining; statistical analysis; data mining; learner viewing behavior analysis; online educational videos; statistical analysis; student viewing behaviors; Computers; Education; Interviews; Media; Monitoring; Videos; Watches; monitoring; video in education; video usage analysis; viewing behavior;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
DOI :
10.1109/ICALT.2014.109
