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Example choice experiment using animations. Using animations

Authors: Tørrissen, Tom Kristian;

Example choice experiment using animations. Using animations

Abstract

What are best practices in learning methods? That question has been and is still today still a much discussed topic. Some say learning by doing, some say read and memorize and some are not sure and try to think in new methods. One of these methods is a theory called the Example Choice theory. The purpose of this study is to investigate the effects of the Examples Choice theory in learning with the use of animations. By setting up an experiment we might be able to determine if the theory can enforce and improve learning outcomes. In the first part of the paper we will go through today's school and look at how students perform on test and look at different learning theories. The cognitive science also a part of this study even if it's not the focus in this paper it is important to understand learning. To find out if there was any hold in the theory we made an experiment. Our subjects in the experiment were 50 people in age-group 24-28 years. The subjects were randomly selected to go through a learning program with pre and post-tests to measure the outcome. The results in this study provide some support for the Example Choice theory but also raise some questions that need to be put under the loupe before making any final conclusions about the theory.

Country
Norway
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Keywords

330, 370, 735115

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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