Vladimir Bradac

Intelligent Tutoring Systems

The importance of intelligent tutoring systems has rapidly increased in past decades. There has been an exponential growth in the number of end users that can be addressed as well as in technological development of the environments, which makes it more sophisticated and easily implementable. In the introduction, the paper offers a brief overview of intelligent tutoring systems. It then focuses on two types which have been designed for education of students in the tertiary sector. The systems use elements of adaptivity in order to accommodate to as many users as possible. They serve both as a support of presence lessons and, primarily, as the main educational environment for students in the distance form of studies – e-learning. The systems are described from the point of view of their functionalities and typical features which differentiate them. The authors conclude with an attempt to choose the best features of each system, which would lead to the creation of an even more sophisticated intelligent tutoring system for e-learning.

A comprehensive adaptive system for e-learning of foreign languages

Abstract The article presents a proposal, design and implementation of a new approach to adaptive e-learning systems. First, a proposal of a model is presented. This model aims at introducing adaptivity to current e-learning systems, which are rigid and limited in offering a truly personalised learning to individual students. Many of current e-learning systems enable personalised learning. However, in this paper, there is a new, innovative approach proposed for an adaptive personalised e-learning system. The primary area of our research is English as a second language (ESL). Adaptivity in our view is considered as an ability of the system to adapt to students knowledge and characteristics. This pedagogical perspective requires introduction of such processes that enable to work the pedagogical aspects of teaching/learning. The required processes are of informatics nature. The proposed model was subsequently designed into a real application. Finally, the application was implemented and verified on a real data set. The results are also provided.

Personalization of Foreign Language Education in the LMS Moodle Environment

The paper deals with new processes in e-learning to achieve the most effective path through a course for each student. In order to achieve such an ideal path through an e-learning course (here a course of the English language), a new methodology has been developed and special components have been introduced, which enabled to create an individual study plan for each student individually. New components consist of two blocks. A block consisting in finding out student’s language knowledge and a block of sensory preferences. These blocks provided input values and information for creating a verification e-course. A great benefit is that the proposed methodology used existing possibilities of a conditional progress through a course while introducing the new components enabled to create individual study plans in an automated way. This comprehensive system has been verified on a sample set of students of the bachelor study program Applied Informatics at the Department of Informatics and Computers, Faculty of Science, University of Ostrava, in winter term 2014.

Adaptive Control of EV3 Robot Using Mobile Devices and Fuzzy Logic

The main aim of this article is to show what is possible to use mobile devices with verification of adaptivity. We focused on creating applications for the control of robots Lego Mindstorms EV3 verification adaptivity, which uses fuzzy approach. We have used classical fuzzy rules of if-then type. The antecedent contains the measured values from infrared sensors and the consequent contains action response of individual engines of the robot. With this application, it will be able to control the robot via Wi-Fi while, there will be a possibility to bring the robot mode that will move through the maze without bumping into some of the walls. An integral part of the work is also a theoretical basis for adaptive robot control and autonomy. Part of this article describe of creating of applications, their comparison to other existing applications and experiments with the resulting application. The application perfectly functioned on the created experimental environments, including the adaptive mode.

Fuzzy queries above relational database

The aim of the theme is to introduce a possibility of fuzzy queries implemented in relational databases. The issue is described on a model which identifies the appropriate part of the problem domain for fuzzy approach. The model is demonstrated on a database of wines focused on searching in it. The construction of the database complies with the Law of the Czech Republic.

Enhancing an adaptive e-learning system with didactic test assessment using an expert system

The paper deals with a follow-up research on intelligent tutoring systems that were studied in authors’ previous papers from the point of view of describing their advantages. In this paper, the authors make use of the fuzzy logic expert system, which assesses student’s knowledge, and integrate it into the intelligent tutoring system called Barborka. The goal is to create an even more personal student’s study plan, which is tailored both to student’s sensory/learning preferences and the level of knowledge of the given subject.

Model of search working with indeterminacy

The paper deals with a proposal of a model of search which is able to work with indeterminacy at multiple levels. The model itself is divided into four basic segments, which include completion of the selection of data set for search, selection of admissible solutions, classification of such solutions, and assessment of selected solutions.