ADAPTIVE LEARNING ENVIRONMENTS BASED ON INTELLIGENT MANIPULATION FOR VIDEO LEARNING OBJECTS

Abstract

e-Learning is become the education method of the future. Lecture videos are powerful and expressive learning resources that are commonly and extensively used in e-learning. However, one lecture video usually covers many topics/subtopics or even many conceptual instructional roles for a single topic. In adaptive e-Learning, the e-Learning of the future, requires small granular objects (Micro Learning Objects MLO) for more flexible and adaptive presentation of the lecture, hence, arose is the need for splitting this lecture video into many MLOs each playing a specific instructional role in the lecture. This research is concerned with the automatic extraction of MLOs out of existing lecture videos also with automatic annotation with the appropriate metadata attributes needed for the appropriate selection of the MLO by the adaptive process. This article, however, assumes that the lecture video is based on PowerPoint (or presentation) slides that are also available to the proposed MLO extraction process.‬