Automatizované řízení adaptivní výuky v e-learningu podle stylů učení studenta

Abstract

This dissertation thesis deals with the automated control of learning process in the environment of e-learning which is based on different styles of learning. Methods which are used today for realisation of learning process of the e-learning are briefly characterised at the beginning. This thesis is based on techniques of programmed learning and methods of designing an appropriate educational material for the automated control of learning. It also describes characteristics of students that can be used to adapt the learning process. It provides metadata to describe those characteristics and format of their storage. Thesis introduces the concept of a virtual student for normalization of a large numbers of real students. Using artificial intelligence methods, thesis carries out a description and design of appropriate process of assigning a real student to virtual student. Next, it describes a design and structuring of educational supports for adaptive form of learning. It also designes and implements data structures and metadata for storing educational supports. Thesis divides those educational supports into several sensory forms and semantic depths. It introduces the concept of a layer of interpretation and defines the various layers of interpretation at the level of comprehensive interpretation unit. Thesis also proposes general formulation of rules defining mapping characteristics of student to form, semantic depth and appropriate internal arrangement of the comprehensive interpretation unit. It provides solution by describing the rules in both semantic and data levels. Based on formulated rules, it defines a procedure to determine student's learning style. Using student's learning style, it designes and implements an adaptive algorithm for the optimized control of the learning process considering the individual needs of students. In the conclusion thesis verifies the designed adaptive algorithms in lesson processed in adaptive form.