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Issues in computer supported inquiry learning in science

机译:科学中计算机支持的探究学习中的问题

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Current views on science learning state that this should not involve learning just about the established results of science, including well-established theories such as Newtonian mechanics or the evolution of species as well as important empirical discoveries such as Young's double slit experiment or the structure of DNA. Instead science learning should also focus on the processes and methods used by scientists to achieve such results. One obvious way to bring students into contact with the scientific way of working is to have them engage in the processes of scientific inquiry themselves, by offering them environments and tasks that allow them to carry out the processes of science: orientation, stating hypotheses, experimentation, creating models and theories, and evaluation (de Jong 2006a). Involving students in the processes of science brings them into the closest possible contact with the nature of scientific understanding, including its strengths, problems and limitations (Dunbar 1999). This is the main claim of inquiry learning: engaging learners in scientific processes helps them build a personal knowledge base that is scientific, in the sense that they can use this knowledge to predict and explain what they observe in the natural world.
机译:当前关于科学学习的观点认为,这不应该只涉及学习科学的既定结果,包括建立完善的理论(例如牛顿力学或物种进化)以及重要的经验发现(例如Young的双缝实验或原子结构)。脱氧核糖核酸。取而代之的是,科学学习还应着重于科学家用于实现此类结果的过程和方法。让学生接触科学工作方式的一种显而易见的方法是让他们自己参与科学探究的过程,方法是为他们提供允许他们进行科学过程的环境和任务:方向,陈述假设,实验,创建模型和理论以及评估(de Jong 2006a)。让学生参与科学过程,可以使他们与科学理解的本质(包括其优势,问题和局限性)保持最紧密的联系(Dunbar 1999)。这是探究式学习的主要主张:让学习者参与科学过程有助于他们建立科学的个人知识库,从某种意义上讲,他们可以使用这些知识来预测和解释他们在自然世界中观察到的内容。

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