A ubiquitous lecture archive learning platform with note-centered approach

Abstract

The main topic of this paper is to develop a cloud-based ubiquitous video on demand learning (u-VOD learning) platform for the lecture archives. The key ideas of the platform are note-centered and responsive function approaches with universal access. Learning style in only watching the archives tends to be passive. The note-centered approach enables the learners to improve such passive learning by means of note taking corresponding to a timeline of the archives. In addition, there are diverse variables in size, shape, performance, and input function for the ubiquitous/smart devices. The responsive function supports ubiquitous device dependency by HTML 5. The universal access would help operation and text input by application of existing speech recognition technique. Based on a proposed u-VOD learning model, we have developed the prototype platform which follows 3-tier architecture to implement it in a scalable way. We have also conducted a small case study to evaluate effectiveness of the platform. The results did not show significant effect compared with “withoutnote” condition. But, most of the subjects seemed to accept the proposed functions as the part of the u-VOD learning platform.