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The Optimal Teaching Style Based on Variability of Study<br />

Materials<br />

Blanka Czeczotková, Kateřina Kostolányová and Jana Šarmanová<br />

Ostravská univerzita, Ostrava, Česká republika<br />

D09434@student.osu.cz<br />

Katerina.Kostolanyova@osu.cz<br />

Jana.Sarmanova@osu.cz<br />

Abstract: Teaching by standard eLearning is being gradually replaced by a new form - personalized eLearning.<br />

Personalized eLearning is understood as not only an instruction tailored to each student according to his<br />

characteristics, but it is also adaptable according to the actual conditions under which the <strong>learning</strong> takes place.<br />

Pilot testing of students and subsequent analysis determined a group of student´s characteristics to which the<br />

eLearning study environment can be adapted. These characteristics must be put into accord with forms and<br />

variants of created <strong>learning</strong> materials. This paper deals with the assignment of an appropriate method of <strong>learning</strong><br />

management to students' individual <strong>learning</strong> styles.<br />

Keywords: adaptive eLearning, virtual teacher, teaching styles, <strong>learning</strong> styles, teaching methods<br />

1. Introduction<br />

Learning of an individual is affected by many factors - in particular by student <strong>learning</strong> styles, their<br />

personalities and motivation to learn. From this perspective, each student can be seen as an<br />

individual. During a standard instruction, the student is a part of a team and the teacher adapts<br />

teaching to suit the majority of students in the classroom. An experienced teacher notices during faceto-face<br />

instruction when the students lose their train of though.(Barker, 2005,2009)<br />

Let us move from the conventional instruction in a classroom to electronic education. Electronic<br />

education requires the teachers prepare all study materials for the students and organizational<br />

guidelines in order to minimize student's discomfort when following the course. Of course there is the<br />

possibility of consultations, either in person or by means of communication technologies (telephone,<br />

e-mail, chat, etc.) If such a kind of instruction is supported by information and communication<br />

technologies (ICT), we are talking about eLearning, managed by a Learning Management System<br />

(LMS). Even in such a case the <strong>learning</strong> process is not adapted to the specificity of each individual.<br />

The curriculum is presented to students in an integral coherent form, with the course walk through<br />

exactly planned. However, not every student may find such prepared procedures convenient.<br />

When we upgrade eLearning to the next quality level, we get to the personalized eLearning. Such an<br />

environment is predestined to consider each student’s individuality.(Brusilovský, 2001)<br />

By personalised eLearning we mean an automated way of teaching which adapts to different qualities<br />

of students which are characteristic for their <strong>learning</strong> styles.<br />

In case students learn without a direct contact with a teacher, they usually use textbooks. A good<br />

textbook can be regarded as another form of “a teacher”. Its author has put in it his optimal<br />

instructional approach, scope and detail of the information presented. It is known that the classic<br />

textbooks supplement direct interpretation given by a teacher, whereas textbooks for independent<br />

<strong>learning</strong>, so-called “distance education”, are supposed to substitute not only an interpretation of a new<br />

topic itself, but also the communication with the teacher, practicing and reviewing of the content, etc.<br />

To create an adaptive eLearning environment that will ensure a personalized (individual) approach for<br />

each student, we need to provide study materials processed in different variants.<br />

The system we have designed may be illustrated by the following schema (see Figure 1: Adaptive<br />

eLearning system schema).(Šarmanová, 2009)<br />

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