An enhanced theory of learning including learning from the future
Previous studies showed that combining learning based on experiences in the past with learning from an envisioned future scenario results in more innovative and radical ideas as well as in a higher number of covered content domains. However, currently there is no holistic learning theory wh...
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IEEE computer society press
2016
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| Online Access: | http://epub.wu.ac.at/4812/1/hicss%2Dpaper%2Dalexander.pdf |
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ndltd-VIENNA-oai-epub.wu-wien.ac.at-48122016-01-26T05:11:19Z An enhanced theory of learning including learning from the future Kaiser, Alexander Previous studies showed that combining learning based on experiences in the past with learning from an envisioned future scenario results in more innovative and radical ideas as well as in a higher number of covered content domains. However, currently there is no holistic learning theory which integrates both sources of learning. The main purpose of our paper is to propose an enhanced theory of learning, linking the two most important sources of learning: learning from past experiences and learning from the future. Our suggested theory, which is based on the learning theory by Gregory Bateson, will be described in detail. Moreover, we will present some empirical experiences with the enhanced theory of learning. (author's abstract) IEEE computer society press 2016 Book Section PeerReviewed en application/pdf http://epub.wu.ac.at/4812/1/hicss%2Dpaper%2Dalexander.pdf http://www.hicss.org/ http://epub.wu.ac.at/4812/ |
| collection |
NDLTD |
| language |
en |
| format |
Others
|
| sources |
NDLTD |
| description |
Previous studies showed that combining learning
based on experiences in the past with learning from
an envisioned future scenario results in more
innovative and radical ideas as well as in a higher
number of covered content domains. However, currently there is no holistic learning theory which integrates both sources of learning. The main purpose of our paper is to propose an enhanced theory of learning, linking the two most important sources of learning: learning from past experiences and learning from the future. Our suggested theory, which is based on the learning theory by Gregory
Bateson, will be described in detail. Moreover, we
will present some empirical experiences with the
enhanced theory of learning. (author's abstract) |
| author |
Kaiser, Alexander |
| spellingShingle |
Kaiser, Alexander An enhanced theory of learning including learning from the future |
| author_facet |
Kaiser, Alexander |
| author_sort |
Kaiser, Alexander |
| title |
An enhanced theory of learning including learning from the future |
| title_short |
An enhanced theory of learning including learning from the future |
| title_full |
An enhanced theory of learning including learning from the future |
| title_fullStr |
An enhanced theory of learning including learning from the future |
| title_full_unstemmed |
An enhanced theory of learning including learning from the future |
| title_sort |
enhanced theory of learning including learning from the future |
| publisher |
IEEE computer society press |
| publishDate |
2016 |
| url |
http://epub.wu.ac.at/4812/1/hicss%2Dpaper%2Dalexander.pdf |
| work_keys_str_mv |
AT kaiseralexander anenhancedtheoryoflearningincludinglearningfromthefuture AT kaiseralexander enhancedtheoryoflearningincludinglearningfromthefuture |
| _version_ |
1718162284255117312 |