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  • 标题:ARTIFICIAL INTELLIGENCE VERSUS HUMAN TALENTS IN LEARNING PROCESS
  • 本地全文:下载
  • 作者:Janez Bregant, Boris Aberšek
  • 期刊名称:Problems of Education in the 21st Century
  • 印刷版ISSN:1822-7864
  • 电子版ISSN:1822-7864
  • 出版年度:2011
  • 期号:1772
  • 页码:38-47
  • 出版社:Scientia Socialis
  • 摘要:To highlight the differences between conventional educational systems and CBLS - computer based learning systems. It is useful to consider CBLS, as the class of a system most closely related to artificial intelligence - AI. In such a system, the ultimate goal is to create a virtual duplicate of reality for learning, analysis, training, experimentation, or other purposes. Simulating reality is an approach that may or may not be useful at creating experience. This distinction yield several consequences. In CBLS, behaviour should be as realistic as possible, the representation of environment tends to be uniform and consistent and allowing users to act freely within that environment. To teach users through realistic experience CBLS design techniques can make the experience much more memorable. In such an environment the context and control afforded by design techniques allow the integration of technologies and evaluation of the overall experience. Perhaps it is time to take lessons of CBLS and AI in a learning design and teaching tools seriously. At the beginning we will point out one simple question: could the ideas, methodology and techniques of AI also be applied to a development of relatively serious mind applications and can they substitute human teachers? And the answer will be continued in our paper.
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