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Initiating Constructivist Learning Strategies through Computer Generated Concept Mapping

机译:通过计算机生成的概念图启动建构主义学习策略

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We have all felt movement of the tide in education toward resurrecting the concept of constructivism in the hope of increasing meaningful learning for our students. The question of why it has met with so little success in the past has to be pondered, and we have to ask what it is that has to be done if such a worthwhile concept is to prevail in the future. One speculation as to why constructed learning has not met with success in the past is that it may have been over sold as unstructured discovery learning. Discovery learning may be an ideal, but too often the approach is just too impractical. Perhaps we need to bring educators into discovery-learning constructivist practices more gradually. This paper deals with one attempt to do so by introducing constructivist learning strategies more gradually through a guided discovery approach that employs computer-generated concept mapping.
机译:我们都感受到了教育浪潮的重生,正在向建构主义的观念复活,希望为我们的学生增加有意义的学习。必须思考为什么它在过去很少取得成功的问题,而且我们必须问,如果将来会流行这样一个有价值的概念,那该怎么办。关于过去为什么建构式学习未能取得成功的一种推测是,它可能已经被作为非结构化发现学习卖掉了。发现学习可能是一种理想的方法,但是通常这种方法太不切实际了。也许我们需要逐步将教育者带入发现学习型建构主义实践中。本文通过采用计算机生成的概念映射的引导发现方法,逐步地逐步引入了建构主义学习策略,从而解决了这一问题。

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