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022 |a 2227-7102 
022 |a 2076-3344 
024 7 |a 10.3390/educsci10110306  |2 doi 
035 |a 2847845938 
045 2 |b d20200101  |b d20201231 
084 |a 231457  |2 nlm 
100 1 |a Kuo-Chen, Li  |u Information Management Department, Chung Yuan Christian University, Taoyuan City 320314, Taiwan; <email>xeaiow@gmail.com</email> 
245 1 |a Developing a Task-Based Dialogue System for English Language Learning 
260 |b MDPI AG  |c 2020 
513 |a Journal Article 
520 3 |a 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. 
653 |a Natural language 
653 |a Grammar 
653 |a Language 
653 |a Machine learning 
653 |a Software 
653 |a Students 
653 |a Human-computer interaction 
653 |a Feedback 
653 |a Fluency 
653 |a Artificial intelligence 
653 |a Curricula 
653 |a Verbal communication 
653 |a Interactive computer systems 
653 |a Cognitive style 
653 |a Robots 
653 |a English as a second language learning 
653 |a Natural language processing 
653 |a Dialogue 
653 |a Foreign language learning 
653 |a Performance evaluation 
653 |a Algorithms 
653 |a Distance learning 
653 |a Communication 
653 |a Teachers 
653 |a Computer assisted instruction--CAI 
653 |a Tutoring 
653 |a Conversation 
653 |a Simulation 
653 |a Teaching 
653 |a English language 
653 |a Language acquisition 
653 |a Information technology 
653 |a Learning 
653 |a Tracking 
653 |a Research design 
653 |a Telecommunications 
653 |a Effectiveness 
653 |a Language Skills 
653 |a Curriculum Design 
653 |a Learning Processes 
653 |a Teaching Methods 
653 |a Educational Technology 
653 |a Educational Environment 
653 |a Computer Assisted Instruction 
700 1 |a Chang, Maiga  |u School of Computing and Information Systems, Athabasca University, Athabasca, AB T9S 3A3, Canada; <email>maiga.chang@gmail.com</email>; Department of M-Commerce and Multimedia Applications, Asia University, Taichung City 41354, Taiwan 
700 1 |a Wu, Kuan-Hsing  |u Information Management Department, Chung Yuan Christian University, Taoyuan City 320314, Taiwan; <email>xeaiow@gmail.com</email> 
773 0 |t Education Sciences  |g vol. 10, no. 11 (2020), p. 306 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2847845938/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/2847845938/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2847845938/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch