Development of an Environmental ICAI System for English Conversation Learning using Speech Recognition and Synthesis Techniques

使用语音识别和合成技术开发用于英语会话学习的环境 ICAI 系统

基本信息

批准号：
05558015
负责人：
YANO Yoneo
金额：
$ 4.86万
依托单位：
University of Tokushima
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B)
财政年份：
1993
资助国家：
日本
起止时间：
1993 至 1995
项目状态：
已结题

项目摘要

In this report, we describe the development of an environmental ICAI system, "HyperEnglish", for conversation learning which is centered upon a situation presented through simulation. The system has a free learning environment which allows students to use initiative in learning and unobtrusively guides them through the control of the simulation progress.The remarkable progress which has been made in the field of multimedia recently has make it possible to construct simulations which utilize sounds and graphics to form a realistic learning environment, or quasi-environment for language learning. Therefore, current CAI systems equipped with a multimedia learning environment can be an efficient substitute for real conversation experiences. However, the use of multimedia techniques in the presentation of simulations will not guarantee learning. Without an appropriate methodology, we cannot expect the same learning effects as those which can occur with a human teacher.In our research, we have considered a learning environment which for English conversation learning and proposed an architecture of an Environmental ICAI system which equipped with a role-playing game style simulation environment. For a realization of the environment, we have proposed a knowledge representation, "Dialogue Graph", which for a construction of dialogue simulations. This knowledge representation can realize a "system dialogue progress controls" of the simulation as an educational function. The simulation control is based on an induction strategy which attempts to induce the learner's failure. By referencing the learners operation history and a diagnosis of the their abilities in fundamental knowledge, situation recognition and phrase generation etc., the system selects appropriate utterances and replies utilizing this induction strategy.We have implemented the system using HyperCard^<TM> and C language on a Macintosh^<TM> computer.

在本报告中，我们描述了环境 ICAI 系统“HyperEnglish”的开发，该系统用于以模拟呈现的情况为中心的对话学习。该系统具有自由的学习环境，使学生能够发挥主动性进行学习，并通过控制模拟进度来不引人注目地引导他们。近年来多媒体领域取得的显着进展使得利用声音构建模拟成为可能和图形形成一个真实的学习环境，或者说是语言学习的准环境。因此，当前配备多媒体学习环境的 CAI 系统可以有效替代真实对话体验。然而，在模拟演示中使用多媒体技术并不能保证学习。如果没有适当的方法，我们就无法期望与人类教师相同的学习效果。在我们的研究中，我们考虑了用于英语会话学习的学习环境，并提出了一种环境 ICAI 系统的架构，该系统配备了角色扮演游戏风格的模拟环境。为了实现该环境，我们提出了一种知识表示“对话图”，用于构建对话模拟。这种知识表示可以实现模拟的“系统对话进度控制”作为教育功能。模拟控制基于试图诱导学习者失败的诱导策略。通过参考学习者的操作历史以及对其基础知识、情境识别和短语生成等能力的诊断，系统利用这种归纳策略选择合适的话语和回复。我们使用HyperCard^<TM>和C实现了该系统Macintosh^<TM> 计算机上的语言。