An enhanced theory of learning including learning from the future

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

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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.
Original languageEnglish
Title of host publicationProceedings of the Forty-Ninth Annual Hawaii International Conference on System Sciences (HICSS-49)
Editors Ralph H. Sprague, Jr.,
Place of PublicationWashington
PublisherIEEE Computer Society Press
Pages4303 - 4312
Publication statusPublished - 2016

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502050 Business informatics
  • 102
  • 509018 Knowledge management

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