THE CONCEPT OF USING EVOLUTIONARY ALGORITHMS AS TOOLS FOR OPTIMAL PLANNING OF MULTIMODAL COMPOSITION IN THE DIDACTIC TEXTS

• Main Authors: Marek A. Jakubowski, Michał Charlak, Michalina Gryniewicz-Jaworska
• Format: Article
• Language: English
• Published: Society of Polish Mechanical Engineers and Technicians 2014-11-01
• Series: Advances in Science and Technology Research Journal
• Subjects: algorithm; didactic text; connectivism
• Online Access: http://www.astrj.com/The-concept-of-using-evolutionary-algorithms-as-tools-for-optimal-planning-of-multimodal-composition-in-the-didactic-texts,573,0,2.html

At the beginning we would like to provide a short description of the new theory of learning in the digital age called connectivism. It is the integration of principles explored by the following theories: chaos, network, complexity and self-organization. Next, we describe in short new visual solutions for the teaching of writing so called multimodal literacy 5–11. We define and describe the following notions: multimodal text and original theory so called NOS (non-optimum systems methodology) as a basis for new methods of visual solutions at the classes and audiovisual texts applications. Especially, we would like to emphasize the tremendous usefulness of evolutionary algorithms VEGA and NSGA as tools for optimal planning of multimodal composition in teaching texts. Finally, we give some examples of didactic texts for classrooms, which provide a deep insight into learning skills and tasks needed in the Internet age.