资料来源: 实验室的朱迪思 · Danovitch 和尼古拉 Noles — — 路易斯维尔大学
想象一下,一个年轻的孩子听到大人说,”我想要看看新闻,”然后看成人按遥控器上的按钮。过了一会儿,电视屏幕亮起。第二天,孩子想要打开在电视屏幕上看漫画。孩子怎么知道该怎么办?它说,”我想要看动画片,”或者按下按钮遥控器上有必要,太?解决这一问题需要儿童使用他们观察 (即,成人的行为) 来与解决方案的信息。在日常生活中,孩子遇到很多情况下,他们需要完成一个目标解码因果从复杂或含糊不清的意见。
为了审查儿童的能力为因果推理,心理学家设置任务使用因果场景观察儿童如何得出结论,并测试新的假说,对不同类型的对象之间的关系。在这些任务中,孩子们显示交互作用涉及单个对象集。然后,他们被要求确定和使用原因和效果之间的联系来解决问题。
该视频演示如何衡量儿童的因果推理小说对象基于由尼克和索贝尔1和尼克,索贝尔,舒尔茨和 Glymour 的方法。2
招募儿童年龄 3 和 4。对于本演示的目的,测试只有一个孩子。较大的样本大小 (尼克和 Sobel 和尼克,索贝尔,舒尔茨和 Glymour 的研究) 时进行的任何实验,推荐1,2 。
请确保与会者没有历史的发育障碍,并有正常的听力和视力。
1、 获得必要的材料。
2.数据收集
3.分析
孩子们会遇到很多情况下,在那里他们需要解码因果从复杂或不明确的意见,想出解决问题。
例如,一个年轻的孩子听到大人说”我想要看看新闻”,然后观察成人按遥控器上的按钮。过了一会儿,打开电视和新闻站出现在屏幕上。
第二天,孩子想要看动画片。她如何知道该怎么办?也就说,我想看动画片,或者按下按钮遥控器上有必要,是吗?因果推理被指区别其前因后果的关系的能力。
使用由艾莉森尼克和他的同事开发的方法,该视频演示步骤需要设置并进行仿真实验,评估因果推理中的儿童,以及如何分析数据,解释结果涉及方案与新的对象。
在这个实验中,儿童年龄 3 至 4 显示交互作用涉及个别对象,例如块和一个框,可以播放音乐时触发。
孩子们被要求确定和使用新型的原因和影响之间的联系来解决问题。例如,在一个事业任务中,只有一个街区将触发此框可以播放音乐,在这种情况下的 A 座,而不是块 B.
在更复杂的两个原因任务中,两个不同的块可以播放音乐时把它们单独放置框。
在这两种因果关系的情况下,孩子们都要做音乐停止,并且哪些块或块他们删除记录为实验中的变量。如果已正确地推断出因果关系,而在两个事业任务中,将删除这两个块在一个事业任务中,块 A 将被删除。
到来之前的孩子,置于对立面的一张桌子两把椅子。收集四个木块的不同颜色和形状。请注意,只有两个街区会使用一次。最后,通过放置一个发声的对象,如一盒坚固的顶部,可以被远程打开或关闭,无线门铃准备特别的设备。
若要开始这项研究,迎接孩子并指导他们坐在你对面的椅子上。
介绍该设备。”一些块使播放音乐,这台机器和一些块不”。
通过放置一个块开始一个事业任务 — — B 座 — — 在设备来证明,没有什么发生。删除 B 座和放置第二个块 — — A 座 — — 在框中,即同时被激活的音乐。
与块 A 仍在设备上,B 座放设备和机器继续播放音乐。
一旦完成示范,问一下孩子,是否他们可以使音乐停止播放,并记录数据。
告诉孩子,他们现在会再玩了。从框中删除的所有块并且设置为两个原因任务。
使用不同的块,将 B 座放置在设备上,现在导致音乐演奏。删除 B 座,然后放置在设备上,也激活了音乐演奏的 A 座。
与块 A 仍在设备上,回来在机器上放置 B 座。再次,问一下一个孩子,是否他们可以使音乐停止,并记录数据。
要分析的结果,将其分类的删除块 A,B 座的儿童人数块,或没有块和图形的儿童表现为两种因果的情形反应百分比。
在一个事业任务中,大多数孩子正确删除的块,在本例中,停止了音乐的块。
同样,在两个事业任务中,更多的孩子去除两个块而不是只是一个块。这些结果表明,学龄前儿童使用以前的意见和他们的因果推理技能来解决如何关闭设备的问题。
现在,您熟悉如何年幼的孩子使用因果推理解决问题,让我们看看其他的方式解决问题的方案可以应用跨越发展。
研究者们发现休闲推理和儿童的认知能力息息相关。例如,完成顺序与推理的能力作为认知发展的一个标志。
科学方法基于使用观测推断原因和效果,并在这些推论来解决新问题。方法之前任何正式的科学教育,年幼的孩子有能力对对象世界,使他们自然的迷你科学家之间的因果关系的原因。
你刚看了朱庇特的简介中儿童因果推理。现在你应该有很好地理解如何设计因果的场景和运行实验,以及分析和评估结果。
谢谢观赏 !
研究人员测试了 24 3-4 岁儿童。他们发现孩子们的最频繁反应在一个事业任务就是从设备中删除 A 座和孩子们的表现如此明显比在多两原因任务。同样,儿童最常见两原因任务中的反应要删除两个块,并他们更经常比做这么大的一个原因任务。研究人员还指出,当儿童在两原因任务只选择了一个街区,他们同样有可能选择 A 座或 B 座 (图 1)。这表明他们不相信任何块设备上的作用明显。研究人员得出结论,学龄前儿童都能够使用他们以前的意见和他们的因果推理技能来解决如何关闭设备的问题。
图 1。孩子们在一个事业和两个事业任务显示每种类型的响应模式的百分比。
这些结果表明儿童的因果推理解决问题能力的力量。儿童可以很快,了解这个世界,他们可以使用他们的知识,找出对象之间的因果关系。这是真实的即使他们从未见过的对象之前 (例如.,玩音乐的设备) 和没有人先前已经展示了如何来解决这个问题。
使用观测推断原因和效果,并在这些推论来解决新问题的能力是科学认识的基本要素之一。科学方法依赖于实践的系统测试如何操纵不同的变量会产生不同的影响,在世界上。这些结果表明,甚至在他们开始他们正式科学教育之前,孩子已经有能力向世界中的对象之间的因果关系的原因。此外,他们也能够创造性地使用他们的理解来解决问题,即使他们从未看到过的对象或问题之前。
Children encounter many situations where they need to decode cause-and-effect from complex or ambiguous observations to come up with solutions to problems.
For example, a young child hears an adult say “I want to watch the news” and then observes the adult press a button on the remote control. A moment later, the television turns on and a news station appears on the screen.
The next day, the child wants to watch cartoons. How does she know what to do? Is it enough to say, I want to watch cartoons, or is pushing the button on the remote control necessary, too? The ability to distinguish the relationship between the cause and its effect is referred to as causal reasoning.
Using methods developed by Alison Gopnik and colleagues, this video demonstrates the steps required to set-up and perform an experiment assessing causal reasoning in children, as well as how to analyze the data and interpret the results involving scenarios with novel objects.
In this experiment, children ages 3 to 4 are shown interactions involving individual objects such as blocks and a box that can play music when triggered.
Children are asked to identify and use the links between novel causes and the effects to solve a problem. For example, in a one-cause task, only one block will trigger the box to play music, in this case Block A, rather than Block B.
In the more complicated two-cause task, two different blocks can make the box play music when placed individually.
In both the causal scenarios, children are asked to make the music stop, and which block or blocks they remove is recorded as the dependent variable in the experiment. If cause-and-effect has been correctly inferred, Block A will be removed in the one-cause task, whereas both blocks will be removed in the two-cause task.
Prior to the arrival of the child, place two chairs on opposite sides of a table. Gather four wooden blocks of different colors and shapes. Note that only two blocks will be used at a time. Finally, prepare the special device by placing a sound-producing object, such as a wireless doorbell that can be remotely turned on or off, in a box with a sturdy top.
To begin the study, greet the child and instruct them to sit in a chair across from you.
Introduce the device. “Some blocks make this machine play music, and some blocks don’t.”
Start the one-cause task by placing one block—Block B—on the device to demonstrate that nothing happens. Remove Block B and place the second block—Block A—on the box, which simultaneously activates the music.
With Block A still on the device, place Block B back on the device and have the machine continue playing music.
Once the demonstration is complete, ask the child if they can make the music stop playing and record the data.
Tell the child that they will now play again. Remove all of the blocks from the box and set up for the two-cause task.
Using different blocks, place Block B on the device, which now causes the music to play. Remove Block B and then place Block A on the device, which also activates the music to play.
With Block A still on the device, place Block B back on the machine. Once again, ask the child if they can make the music stop and record the data.
To analyze the results, categorize the number of children who removed Block A, Block B, both blocks, or none of the blocks and graph the percentages of children who showed the responses for both causal scenarios.
In the one-cause task, most children correctly removed the block, in this case Block A that stopped the music.
Likewise, in the two-cause task, more children removed both blocks instead of just one block. These results suggest that preschool children use previous observations and their causal reasoning skills to solve the problem of how to turn off the device.
Now that you are familiar with how young children solve problems using causal reasoning, let’s look at other ways problem-solving scenarios can be applied across development.
Researchers have found that casual reasoning and cognitive ability in children are linked. For instance, the ability to complete a sequential order with reasoning is used as a marker of cognitive development.
The scientific method is based on using observations to draw inferences about cause-and-effect and to apply those inferences to solving novel problems. Way before any formal science education, young children have the capacity to reason about causal relationships between objects in the world, making them natural mini-scientists.
You’ve just watched JoVE’s introduction to causal reasoning in children. Now you should have a good understanding of how to design causal scenarios and run the experiment, as well as analyze and assess the results.
Thanks for watching!
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