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Developing a Task-Based Dialogue System for English Language Learning

1
Information Management Department, Chung Yuan Christian University, Taoyuan City 320314, Taiwan
2
School of Computing and Information Systems, Athabasca University, Athabasca, AB T9S 3A3, Canada
3
Department of M-Commerce and Multimedia Applications, Asia University, Taichung City 41354, Taiwan
*
Author to whom correspondence should be addressed.
Educ. Sci. 2020, 10(11), 306; https://doi.org/10.3390/educsci10110306
Received: 29 July 2020 / Revised: 20 October 2020 / Accepted: 26 October 2020 / Published: 28 October 2020
(This article belongs to the Section Technology Enhanced Education)
This research involved the design of a task-based dialogue system and evaluation of its learning effectiveness. Dialogue training still heavily depends on human communication with instant feedback or correction. However, it is not possible to provide a personal tutor for every English learner. With the rapid development of information technology, digitized learning and voice communication is a possible solution. The goal of this research was to develop an innovative model to refine the task-based dialogue system, including natural language understanding, disassembly intention, and dialogue state tracking. To enable the dialogue system to find the corresponding sentence accurately, the dialogue system was designed with machine learning algorithms to allow users to communicate in a task-based fashion. Past research has pointed out that computer-assisted instruction has achieved remarkable results in language reading, writing, and listening. Therefore, the direction of the discussion is to use the task-oriented dialogue system as a speaking teaching assistant. To train the speaking ability, the proposed system provides a simulation environment with goal-oriented characteristics, allowing learners to continuously improve their language fluency in terms of speaking ability by simulating conversational situational exercises. To evaluate the possibility of replacing the traditional English speaking practice with the proposed system, a small English speaking class experiment was carried out to validate the effectiveness of the proposed system. Data of 28 students with three assigned tasks were collected and analyzed. The promising results of the collected students’ feedback confirm the positive perceptions toward the system regarding user interface, learning style, and the system’s effectiveness. View Full-Text
Keywords: task-based dialogue; computer-assisted instruction; task-based language learning task-based dialogue; computer-assisted instruction; task-based language learning
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MDPI and ACS Style

Li, K.-C.; Chang, M.; Wu, K.-H. Developing a Task-Based Dialogue System for English Language Learning. Educ. Sci. 2020, 10, 306. https://doi.org/10.3390/educsci10110306

AMA Style

Li K-C, Chang M, Wu K-H. Developing a Task-Based Dialogue System for English Language Learning. Education Sciences. 2020; 10(11):306. https://doi.org/10.3390/educsci10110306

Chicago/Turabian Style

Li, Kuo-Chen, Maiga Chang, and Kuan-Hsing Wu. 2020. "Developing a Task-Based Dialogue System for English Language Learning" Education Sciences 10, no. 11: 306. https://doi.org/10.3390/educsci10110306

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