Designing a chatbot to teach English: Transforming learning spaces

Designing a chatbot to teach English: Transforming learning spaces

• Kohnke, Lucas Mathias Alfred The Hong Kong Polytechnic University

The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020) (2020: Hong Kong)

• F 教與學
  • FD 傳意媒介、資訊科技在教學上的應用
• F 教與學
  • FE 教學語文、雙 / 多語教學、雙語問題、雙語分流教學計劃、語言混雜及轉換

Chatbot Natural Language Processing Language Learning Self-directed

• Hong Kong

• 1997.7 onwards

• 未指定或無法歸類

BACKGROUND: The potential of natural language processing tools such as chatbots in learning a second or foreign language has not yet been fully realised (Dale, 2016; Fryer et al., 2019). Language learning occurs through interaction with classmates and teachers, which provides comprehensible input, feedback on output and the opportunity to modify output (Mackey, 2012). Chatbots can serve as an always-on source of interaction. In this study, a chatbot was designed and deployed using Dialog flow Messenger. It acts as a conversational interface for English learners and is available on our website or as a mobile application (app). Language learning is most effective when it is immediate and contextual, so this chatbot not only ‘chats’ but also guides learners to appropriate language study resources. It puts students in control of their learning by answering specific questions (e.g., How do I refer to sources in written texts and oral presentations?, Where can I find IELTS materials?, What is the present perfect?); providing customised learning options; and allowing students to learn at their own level, pace, and at a time of their choosing. This study investigates English language students’ attitudes, beliefs, and perceptions towards using a customised chatbot to enhance language learning.METHODS: Participants consisted of students and teachers (n=4) from a compulsory English for Academic Purposes course at the largest public university in Hong Kong. In this study, the students (n=76) had access to the chatbot for two months. Data on attitudes, beliefs and perceptions regarding the chatbot were collected using a questionnaire and focus groups; transcripts were collected to identify questions put to the chatbot. This mix of methods was chosen to provide rich, detailed, and complex accounts of users’ experiences.RESULTS: Findings from the questionnaire and focus groups are consistent with previous research that reported positive learning experiences with chatbots (Fryer & Carpenter, 2006; Lin & Chang, 2020). Of the student participants, 85% said it was an enjoyable learning experience and 71% said it answered their questions and directed them to suitable study resources. Transcripts revealed that the most common questions were about IELTS materials (e.g., Where can I find a sample Task 1 essay?, How do I get a high score on Task 2 of the speaking part?) and subject specific questions about assignments (e.g. How many in-text citations are required?, How do I write an integral citation?). In the interviews, a majority of the participants (students and teachers) highlighted the detailed, concise answers/feedback and suggestions as beneficial and informative for language learning.CONCLUSIONS: The results indicate the chatbot provided rapid access to rich language learning content and encouraged students to find solutions to their questions through self-directed study. These results show that chatbots are a valuable, viable tool for language acquisition. Copyright © 2020 The Education University of Hong Kong (EdUHK).

Paper presented at The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020), Hong Kong, China.

• 英文

會議論文

https://bibliography.lib.eduhk.hk/tc/bibs/94277afb

2023-02-06