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learning - Academic Conferences Limited

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Blanka Czeczotková et al.<br />

number of quite different <strong>learning</strong> styles. The second reason is the fact that there are too many<br />

students with various <strong>learning</strong> styles.<br />

2.3 Three bases for the creation of adaptive <strong>learning</strong> supports<br />

When designing the methodology for creating adaptive <strong>learning</strong> materials, we have based our<br />

approach on general principles of teaching and <strong>learning</strong> and teaching methodology of distance<br />

education textbooks.<br />

The principles were adapted from J. A. Komenský,(Lánský, 1997) the events of instruction by Gagne<br />

(Gagné, 1975) and the Bloom's (Schaink, 2002) taxonomy of <strong>learning</strong> objectives. As few other works<br />

by renowned scholars werw also referred to.<br />

J. A. Komenský (Čapková, 1992) defined a number of pedagogical principles in his work that need to<br />

be applied so that the process of teaching is carried out successfully and efficiently. Out of these<br />

principles, we have selected the following five that are considered to be the most important: the<br />

principle of sense-impression, awareness, steady and systematic approach, adequacy and durability<br />

(see Table 1: Application of the principles by J. A. Komensky when creating an adaptable textbook).<br />

Table 1: Application of the principles by J. A. Komensky when creating an adaptable textbook<br />

principle way of application in an adaptable textbook<br />

senseimpression<br />

Using multimedia components and objects<br />

awareness Different ways of motivating, demonstrations of practical application of the learned matter<br />

steady and<br />

systematic<br />

approach<br />

Linking to the student’s prior knowledge, sequential and systematic <strong>learning</strong><br />

adequacy Content and extent of the curriculum according to the current levels of knowledge and<br />

competency<br />

durability Goals determination according to the study programme<br />

The instruction generally consists of <strong>learning</strong> (the activity of the student) and teaching (the activity of<br />

the teacher), and is carried out within an educational environment (in this case an electronic<br />

environment).<br />

Let us summarize the facts that are known to us: we know the student’s <strong>learning</strong> style (tested before<br />

the instruction itself).(Šarmanová, 2010; Takács, 2010) The student will be tested during the course of<br />

instruction (feedback of the presented content and its comprehension) and generally we are trying to<br />

create a user friendly environment (for the student not to feel helpless and isolated). The <strong>learning</strong><br />

environment´s ability to support a democratic way of teaching is still to be resolved. The democratic<br />

climate gives support to the independency development, self-control, planning and responsibility. All<br />

of these features are welcome and important in an electronic environment. Changing different<br />

teaching methods according to the student’s present mental state and his preferred <strong>learning</strong> style<br />

comes as an option. This area of adaptive environment design will be handled by adaptive algorithms,<br />

designed through cooperation of teams of psychologists, pedagogues and informatics.<br />

A necessary condition for the implementation of these algorithms is to structure the study material into<br />

small parts. They will be arranged and offered to the student based on the algorithms in concorde with<br />

his preferred <strong>learning</strong> style.<br />

Teaching methods consist of a sequence of elementary steps of instruction. In the process of<br />

instruction, there is a certain order in the sense of procedure: the beginning of instruction, lecturing,<br />

exercising, testing and ending of the process. To be able to apply this principle in the field of<br />

adaptable teaching, we based our efforts on the distribution of the <strong>learning</strong> process according to R.<br />

Gagné. On the basis of this principle, we have assigned to each teaching activity a subset of adaptive<br />

support - so called layers. The following table shows the distribution (see Table 2: Gagné’s theory<br />

applied on an adaptable study support).<br />

For the designed methodology to be as general and as universal as possible, we have also included<br />

the theory of Bloom's taxonomy of <strong>learning</strong> objectives. According to this theory, in adaptive <strong>learning</strong><br />

materials there are <strong>learning</strong> objectives defined with an emphasis on the cognitive domain of<br />

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