Modular and Branched Structure of Individualized Intelligent E-Learning Materials for Science and Technology Subject Course

Abstract

E-learning and online education offers important opportunities for educators as well as for students. Traditional e-materials, as they are known today, do not allow the recognition of different parameters, such as: learning differences, prior knowledge, learning capabilities, learning environment, styles of learning, etc. Because e-materials are structured in such a way they cannot be successfully adapted for learners who consequently cannot control their own learning (Berge, 2002; Picciano, 2000; Saba, 2002). Such a result offers, among others, a highly anti-motivational effect. The preparation of modern e-materials therefore requires a thorough preparation in terms of content and design, which has to be (mostly) based on pedagogical and didactic theories. Modern e-materials, which can also be named educational e-materials, are usually accessible online (internet-based training (IBT), web-based training (WBT), online education, etc.), they enable and encourage self-learning, they are flexible, dynamic, interactive, use different types of media, individualized and adapted to the user’s needs. Mostly the latter characteristic will receive special attention in the following research. Key words: individualized e-learning, intelligent system, metadata.