Developing a Task-Based Dialogue System for English Language Learning

Autor/inn/en	Li, Kuo-Chen; Chang, Maiga; Wu, Kuan-Hsing
Titel	Developing a Task-Based Dialogue System for English Language Learning
Quelle	In: Education Sciences, 10 (2020), Artikel 306 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Li, Kuo-Chen) ORCID (Chang, Maiga)
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2227-7102
Schlagwörter	Task Analysis; Teaching Methods; Second Language Learning; Second Language Instruction; English (Second Language); Dialogs (Language); Feedback (Response); Instructional Innovation; Intelligent Tutoring Systems; Speech Communication; Goal Orientation; Simulation; Student Attitudes; Cognitive Style; Usability; Computer Assisted Instruction + Suchen Sie Ihr Suchwort? Aufgabenanalyse; Teaching method; Lehrmethode; Unterrichtsmethode; Zweitsprachenerwerb; Fremdsprachenunterricht; English as second language; English; Second Language; Englisch als Zweitsprache; Dialog; Dialogs; Dialogue; Dialogues; Educational Innovation; Bildungsinnovation; Intelligentes Tutorsystem; Zielorientierung; Zielvorstellung; Simulation program; Simulationsprogramm; Schülerverhalten; Cognitive styles; Kognitiver Stil; Computer based training; Computerunterstützter Unterricht
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01