Learning theories and environments: A student-initiated intelligent computer-assisted environment |
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| Authors: | Amarjit Singh Dr Malcolm Carr |
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| Institution: | (1) Centre for Science and Mathematics Education Research, University of Waikato, Hamilton, New Zealand |
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| Abstract: | Intelligent computer-assisted instructional systems have been constructed and applied within a wide range of fields. Very
few of these systems make explicit a central or set of core learning theories or learning environments upon which a system
is based. However, many of these systems have implicitly employed learning theories and environments. This paper looks at
a variety of intelligent computer-assisted systems with a view towards uncovering the latent learning theories they employ.
The interplay of the various learning theories needed to realise a student-initiated learning environment are discussed. The
central features required for such an environment to function and the limitations of realising such a learning environment
due to the state of the art of present day systems are also discussed.
Specializations: physics education; computer education; intelligent computer-assisted instructional systems; physics problem solving.
Specializations: chemical education, technology education, history and philosophy of science, learning theories. |
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