Using a Multiplatform Chatbot as an Online Tutor in a University Course

被引:16
|
作者
Lee, Lap-Kei [1 ]
Fung, Yin-Chun [1 ]
Pun, Yau-Wai [1 ]
Wong, Ka-Kin [1 ]
Yu, Maverick Tai-Yin [1 ]
Wu, Nga-In [2 ]
机构
[1] Open Univ Hong Kong, Sch Sci & Technol, Ho Man Tin, Kowloon, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Coll Profess & Continuing Educ, Div Languages & Commun, Hong Kong, Peoples R China
来源
2020 INTERNATIONAL SYMPOSIUM ON EDUCATIONAL TECHNOLOGY (ISET 2020) | 2020年
关键词
chatbot; online tutor; multiplatform; natural language processing; innovative pedagogy; STUDENT QUESTIONS;
D O I
10.1109/ISET49818.2020.00021
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Allowing students to ask questions in a university course is a crucial aspect of learning, which leads to increased learning effectiveness but also increased workload of the teaching staff. To reduce their workload, this paper presents the design of a chatbot for instantly answering students' questions on multiple common social platforms including Telegram, Facebook Messenger and Line. The chatbot can answer questions in natural language and commands. Once the teachers upload the necessary course-related information to an online database, the chatbot can answer questions on the course materials and course logistics (e.g., class schedule). The chatbot also supports a login system so as to provide answers according to different student profiles (e.g., schedule of their enrolled class and score dissemination). A survey on ten undergraduate computer science students showed that our chatbot can effectively act as an online tutor to reduce teachers' workload and will be a useful tool to be integrated into other e-learning platforms.
引用
收藏
页码:53 / 56
页数:4
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