1. Adaptive System for E-Learning
Michael Goncharenko, Ukrainian Institute for Information Technologies in Education,

2. Contents
Motivation
Avoiding problems
Problem statement
Ways to solve the problem
What shall we get?

3. Motivation
E-learning support in Ukraine;
Extending the possibilities of existing e-learning software;
Improvement and individualization of e-learning;
There is no distance form of study in Ukraine officially.

4. Avoiding problems It will take more time to develop a course;
More complex software;
Teachers do not have enough experience to use IT in Education.

5. Problem statement It will take more time to develop a course;
Adaptive System Development:
1. Speed up course development:
Automation of the most complex tasks
Team course development
2. Use existing software for adaptive system:
Microsoft Word
Moodle
Software developed by UIITE
It will take more time to develop a course;
More complex software;
Teachers do not have enough experience to use IT in Education.

6. Ways to solve the problem
Adaptive algorithms
Adaptive Learning System
Student Model Server
Module for Moodle
Moodle LMS
Microsoft Word
Learning Object Storage
Software to be developed
Third-party software

7. Ways to solve the problem
Learning Object Storage
Pilot project – virtual labs.
LabVIEW Server. Provides remote control to .vi files with LabVIEW Remote Panel.

8. Ways to solve the problem
Learning Object Storage
Pilot project – virtual labs.
File storage. Files are stored on the virtual disk.
File labels. They are like folders, but single file may belong to many labels.
Access control. Course developers may control access to their files.
Exchange of learning objects. Developers exchange their files providing access for them to each other.

9. Ways to solve the problem
Module for Moodle
Import learning objects from LO storage.
Individualize the way of learning. Each connection has its own conditions.
Learning Object Imported from LO storage

10. Ways to solve the problem
Student model server
Student’s psychophysiological characteristics
Previous activity
Student’s goal
Student’s knowledge level
Student Model

11. Ways to solve the problem
Module for Moodle
Connection
Each connection has its own conditions:
Knowledge level required to view this object;
Student’s previous activity in the course;
Psychophysiological characteristics of a student;

12. Ways to solve the problem
Psychophysiological characteristics of students:
Audio / video / text / images;
Time limits;
The nervous system of the student:
Strong nervous system;
Weak nervous system.

13. What shall we get? Learning object storage;
Adaptive e-learning system;
Psychophysiologic component of Student model;

14. Thank you for attention!
Michael Goncharenko,