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Exploring the Potential of Speech Recognition to Support Problem Solving and Reflection Wizards Go to School in the Elementary Maths Classroom

机译:探索支持问题解决和反思向导的语音识别潜力去上学课堂上学

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The work described in this paper investigates the potential of Automatic Speech Recognition (ASR) to support young children's exploration and reflection as they are working with interactive learning environments. We describe a unique ecologically valid Wizard-of-Oz (WoZ) study in a classroom equipped with computers, two of which were set up to allow human facilitators (wizards) to listen to students thinking-aloud while having access to their interaction with the environment. The wizards provided support using a script and following an iterative methodology that limited on purpose their communication capacity in order to simulate the actual system. Our results indicate that the feedback received from the wizards did serve its function i.e. it helped modify students' behaviour in that they did think-aloud significantly more than in past interactions and rephrased their language to employ mathematical terminology. Additional results from student perception questionnaires show that overall students find the system suggestions helpful, not repetitive and understandable. Most also enjoy thinking aloud to the computer but, as expected, some find the feedback cognitively overloading, indicating that more work is needed on how to design the interaction tipping the balance towards facilitating post-task reflection.
机译:本文描述的工作调查了自动语音识别(ASR)的潜力,以支持幼儿探索和反思,因为他们正在使用互动学习环境。我们描述了一个具有电脑的课堂上的独特生态有效的oz-oz-oz-oz-of-oz-oz-of computers,其中两个被设置为允许人力促进者(巫师)倾听学生们在互动的同时倾听他们的互动环境。向导提供了使用脚本的支持,并按照迭代方法,这些方法限制了它们的通信容量,以便模拟实际系统。我们的结果表明,从巫师收到的反馈确实为其职能提供了I.E.它帮助修改了学生的行为,因为他们确实比过去的相互作用显着思考,并重现了他们使用数学术语的语言。学生认知问卷的其他结果表明,整体学生发现系统建议有用,而不是重复和可理解的。大多数人也喜欢大声思考电脑,但正如预期的那样,有些人发现认知过载的反馈,表明如何设计更多的工作,如何设计倾向于促进任务后反射的余额。

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