Abstract
The last two years have changed how students access formal and informal education. Due to the COVID-19 pandemic, language learners have had limited opportunities to interact actively with teachers and fellow students.
However, chatbots can help to fill this gap. This paper describes an educational chatbot employed on Facebook Messenger as a supplement to direct teacher input. It was developed using Google’s Dialogflow, which allows teachers to build omnichannel chatbots using natural language understanding models.
Specific branching (question and answer) was employed to limit the chatbot’s scope to specific language areas. Chatbots, if employed successfully, could have widespread applications in higher education institutions and shape language teaching in the future. Copyright © 2021 Springer Nature Switzerland AG.
| Original language | English |
|---|---|
| Title of host publication | Emerging technologies for education: 6th International Symposium, SETE 2021, Zhuhai, China, November 11–12, 2021, revised selected papers |
| Editors | Weijia JIA, Yong TANG, Raymond S. T. LEE, Michael HERZOG, Hui ZHANG, Tianyong HAO, Tian WANG |
| Place of Publication | Cham |
| Publisher | Springer |
| Pages | 373-377 |
| ISBN (Electronic) | 9783030928360 |
| ISBN (Print) | 9783030928353 |
| DOIs | |
| Publication status | Published - 2021 |
Citation
Kohnke, L. (2021). Chatbots for learning: A Facebook Messenger ‘Bot’. In W. Jia, Y. Tang, R. S. T. Lee, M. Herzog, H. Zhang, T. Hao, & T. Wang (Eds.), Emerging technologies for education: 6th International Symposium, SETE 2021, Zhuhai, China, November 11–12, 2021, revised selected papers (pp. 373-377). Cham: Springer.Keywords
- Chatbot
- Language learning
- COVID-19
