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Web-based Learning Solutions for Communities of Practice

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spectrum in order to specifically determine the<br />

effectiveness <strong>of</strong> different technologies and new<br />

learning methods. (Alberts, B. 2009, 15).<br />

Ilomäki (2008, 33-37) has been mapping a<br />

list <strong>of</strong> teachers’ problems when implementing<br />

ICT scenarios into educational practices. The author’s<br />

focus was limited to a teacher’s individual<br />

characteristic such as individual pedagogical<br />

conceptions and problems they experience while<br />

preparing the lessons as well. Very <strong>of</strong>ten, teachers<br />

with coherent ICT skills use more ICT solutions<br />

in their teaching and they do it in a more multifaceted<br />

and student-oriented way (Moseley &<br />

al. 1999; Hakkarainen 2001; Kankaanranta &<br />

Puhakka 2008). Even more, meta-studies related<br />

to immersive learning environments seem to<br />

provide a clear evidence <strong>for</strong> a specific efficiency<br />

<strong>of</strong> this type <strong>of</strong> educational technology: “The<br />

more a virtual immersive experience is <strong>based</strong> on<br />

design strategies that combine actional, symbolic,<br />

and sensory factors, the greater the participant’s<br />

suspension <strong>of</strong> disbelief that she or he is “inside” a<br />

digitally enhanced setting” (Dede 2009, 66). The<br />

immersive interfaces utilising the visual reasoning<br />

ability gives an opportunity to transfer educational<br />

experience from classroom to (other) real-world,<br />

open learning environments.<br />

COMBINING REAL HANDS-<br />

ON LEARNING INTO VISUAL<br />

AND AUGMENTED REALITY<br />

Hot Air Balloon is a classical science centre<br />

exhibit example provided in several institutes<br />

around the world, too. That was one <strong>of</strong> the reasons<br />

why it was chosen as a case within the described<br />

CONNECT/EXPLOAR learning scenario. The<br />

basic approach was to gain more educational value<br />

from the exhibit by using Augmented Reality –technology<br />

added to this classical exhibit. The main<br />

pedagogical goal was to teach the skills <strong>of</strong> doing<br />

observations. This was possible because by the ARsolutions<br />

certain invisible phenomenon could be<br />

198<br />

Visualising the Invisible in Science Centres and Science Museums<br />

done visible by animations and demonstrations. In<br />

this case the main phenomenon was temperature and<br />

molecule movement, i.e. Bolzmann constant.<br />

Testing<br />

Very <strong>of</strong>ten in the field, just paper-and-pencil tests<br />

are applied to monitor cognitive knowledge and<br />

achievement. However, science and technology<br />

has become more and more visual, and many<br />

<strong>of</strong> the skills trained and taught are not textual.<br />

There<strong>for</strong>e, “there may be a mismatch between the<br />

structure <strong>of</strong> the knowledge and the structure <strong>of</strong> the<br />

print and oral language media traditionally used<br />

both impart and test that knowledge (Greenfield<br />

2009, 71)”. Consequently, testing in this study<br />

contained also non-text <strong>based</strong> tests.<br />

Tests <strong>for</strong> the Students<br />

First <strong>of</strong> all, we applied a visual reasoning ability<br />

-test, in detail, the VRA-Visual Reasoning Ability<br />

test published by Raven (2000). With regard<br />

to the virtual and visual nature <strong>of</strong> the topic, three<br />

major issues supported our choice: 1. the test is<br />

standardised, approved and used in many countries<br />

and cultures; 2. no translations are needed; and<br />

last but not least; 3. young people tend to like to<br />

administrate this type <strong>of</strong> test which they don’t<br />

perceive as <strong>for</strong>mal education type <strong>of</strong> task.<br />

Secondly, <strong>for</strong> measuring the motivation (intrinsic,<br />

instrumental, and situation motivation)<br />

we administered two measures, the one <strong>of</strong> Deci<br />

& Ryan (1993) called IMI (Intrinsic Motivation<br />

Inventory) and the one <strong>of</strong> Salmi (1993; 2003)<br />

on our pre-test schedule. Thirdly, the cognitive<br />

knowledge <strong>based</strong> on 13 items was monitored<br />

on two different schedules, be<strong>for</strong>e and after the<br />

AR-intervention and science centre visit. Forth,<br />

we classified our participants with regard to their<br />

school grades given by their teachers in science,<br />

mathematics, and native language into three categories:<br />

A+ = Above average (25%), A = Average<br />

(50%); A- = Below average (25%).Finally, we

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