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After weighing the options, Google Dialogflow was chosen because it supports the Chinese language via both text and voice input/output. Picture 1 – Husky C-Bots Learning Program Website Introduction of Husky C-Bots Why Dialogflowīefore developing the Husky C-Bots, multiple well-known bot design platforms were compared. This encourages students to listen more attentively to audio responses, rather than solely relying on text messages. A special Google Chrome extension ( Dialogflow Helper ) was also customized to play the text responses aloud. Husky C-Bots can be accessed directly from web-based chatbot apps. The bots, called Husky C-Bots, aim to help Chinese language learners practice their language skills by reviewing vocabulary and grammar constructs according to their learning material. This project channels NEU’s innovative spirit into creating chatbots that can speak in Mandarin and hold realistic conversations with Chinese learners.
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To acquaint readers that are not familiar with chatbots, one of our customized chatbot design training videos (funded by STARTALK ) in English is presented below to demonstrate:ġ) An example of a chatbot conversational topic: “Names” This research project aims to investigate how we can take advantage of AI technologies to offer chatbot applications as language learning partners. Our funded Chinese Chatbot research team includes faculty members both from AI research areas (human to machine communication) and from the World Language Center (human to human communication). However, the language learning domain demands further specifications and customizations in order to meet the needs of language learners ( Bonner et al., 2019 Frazier et al., 2020).Īt the World Language Center at Northeastern University (NEU ), we aim to have developers, researchers, and language educators work together to adopt cutting-edge technologies. AI chatbots are normally used to automate simple tasks such as answering customers’ questions, providing information on products, and placing orders. However, the quality of interacting with chatbots is limited by how they are pre-instructed by code. They could also be easily applied to remote learning contexts.
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Thus, it is both a challenge and an opportunity for front-line researchers and educators to use AI chatbot technologies to improve the effectiveness of teaching and learning in and out of the classroom (Bonner et al., 2019 Frazier et al., 2020 Fryer et al., 2017, 2019, 2020 Bao, 2019 Sykes, 2018).Īs the world changes and reacts to global events (e.g., the COVID-19 pandemic), AI conversational chatbots could be an extremely powerful tool as a way to simulate a conversational partner for language learners. At the same time, they are also striving to broaden the impact of their state-of-the-art technologies by incorporating them into real life and pedagogical initiatives. With the improvement of deep learning technologies, the Big 4 computer companies (Google, Microsoft, Facebook, and Amazon) have been developing their robotics, machine learning, and artificial intelligence (AI) sectors for the past few years, including AI chatbots, which are computer programs that simulate and process human conversation. By Ann Cai, Dino Konstantopoulos, Robert Davis, Yufei Zheng, Dongying Liu, Northeastern University