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An enhanced theory of learning including learning from the future

Kaiser, Alexander (2016) An enhanced theory of learning including learning from the future. In: Proceedings of the 49th Hawaii International Conference on System Sciences. IEEE computer society press, Washington. pp. 4303-4312.

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Abstract

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)

Item Type: Book Section
Version of the Document: Published
Variance from Published Version: None
Depositing User: Alexander Kaiser
Date Deposited: 25 Jan 2016 10:37
Last Modified: 25 Jan 2016 10:37
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/72788/
URI: http://epub.wu.ac.at/id/eprint/4812

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