首页> 外文期刊>International Journal of Computers for Mathematical Learning >Approaching Complexity Through Planful Play:Kindergarten Children's Strategies in Constructingan Autonomous Robot's Behavior
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Approaching Complexity Through Planful Play:Kindergarten Children's Strategies in Constructingan Autonomous Robot's Behavior

机译:通过有计划的游戏来接近复杂性:幼儿园儿童在自主机器人行为建构中的策略

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摘要

This study investigates how young children master, construct and understandintelligent rule-based robot behaviors, focusing on their strategies in gradually meeting thetasks' complexity. The wider aim is to provide a comprehensive map of the kinds oftransitions and learning that take place in constructing simple emergent behaviors, par-ticularly for young children. Six kindergarten children participated individually in thestudy along five sessions. Regarding modes of engagement, it was found that the childrenconducted intensive and extended playful investigations of the robot's behaviors, inter-acting with it in a variety of ways; it was also found that their constructions were planfuland anticipatory, as they could simulate how the behaviors play out even prior to runningtheir programs. Three kinds of transitions were found in the children's comprehension ofthe system: one involved adaptation to the formal language; the second, coordination ofmultiple spatial perspectives; and the third involved a shift from viewing rules as one-timeevents to their view as recurring and continual descriptions of a process. Finally, it wasfound that the children employed two strategies to reduce the amount of information in thesystem: "pruning" involved ignoring part of the logical structure and focusing on another;"fusing" involved coalescing several rules or functions into one. These results are dis-cussed with respect to previous literature on children's programming and with regards tounderstanding and supporting young children's learning through their construction ofadaptive autonomous behaviors.
机译:这项研究调查了幼儿如何掌握,构建和理解基于规则的智能机器人行为,重点研究了逐步满足任务复杂性的策略。更广泛的目标是提供有关在构造简单的突现行为(尤其是针对幼儿)时发生的过渡和学习类型的全面地图。六个幼儿园的孩子在五个环节中分别参加了这项研究。关于参与模式,发现孩子们对机器人的行为进行了深入而有趣的调查,并以各种方式与之互动。还发现它们的构造是计划性的和预期的,因为它们甚至可以在运行程序之前模拟行为的表现。在儿童对系统的理解中发现了三种过渡:一种涉及对形式语言的适应;另一种涉及对形式语言的适应。第二,多种空间视角的协调;第三类涉及从将规则视为一次性事件转变为将其视为流程的重复性和连续性描述。最终,发现孩子们采用了两种策略来减少系统中的信息量:“修剪”涉及忽略逻辑结构的一部分而专注于另一部分;“融合”涉及将多个规则或功能合并为一个。相对于先前有关儿童编程的文献,以及通过建构适应性自主行为来理解和支持幼儿的学习,讨论了这些结果。

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