语言学习中的智能助手:特点与局限性分析

A. Kukulska-Hulme, Helen Lee
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引用次数: 4

摘要

学习第二语言是一项具有挑战性的努力,需要不同程度的支持。智能技术的扩散包括聊天机器人和会话代理,它们有可能“帮助”语言学习者(库库尔斯卡-休姆,2019)。然而,尽管越来越多的研究人员和开发人员正在跨学科研究这种智能助手,但人们对它们在语言学习中的应用知之甚少。该项目的目的是回顾过去十年(2010-2020年)的相关研究文献,以揭示智能助手(IAs)在语言学习方面的能力和局限性。结果表明,辅助语可以以多种方式帮助学习者,包括提供会话和发音练习。这些工具也可能无法理解意思或重读发音。该分析强调了在技能开发、任务设计、教学法以及在虚拟世界中使用聊天机器人方面的研究差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent assistants in language learning: an analysis of features and limitations
Learning a second language is a challenging endeavour which requires various degrees of support. The proliferation of smart technologies includes chatbots and conversational agents which have the potential to ‘assist’ language learners (Kukulska-Hulme, 2019). However, whilst a growing number of researchers and developers are working on such intelligent assistants across different disciplines, little is known about their application to language learning. The aim of this project was to review relevant research literature over a ten-year period (2010-2020) in order to uncover the capabilities and limitations of Intelligent Assistants (IAs) in relation to language learning. Results suggest that IAs can assist learners in a variety of ways, including provision for conversation and pronunciation practice. These tools can also fail to comprehend meaning or accented pronunciation. The analysis highlighted gaps in research around skills development, task design, pedagogy, and the use of chatbots in virtual worlds.
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