@inproceedings{b03047dfb9834cabbef96b2220dd3541,
title = "Using a Multiplatform Chatbot as an Online Tutor in a University Course",
abstract = "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.",
keywords = "chatbot, innovative pedagogy, multiplatform, natural language processing, online tutor",
author = "Lee, {Lap Kei} and Fung, {Yin Chun} and Pun, {Yau Wai} and Wong, {Ka Kin} and Yu, {Maverick Tai Yin} and Wu, {Nga In}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Symposium on Educational Technology, ISET 2020 ; Conference date: 24-08-2020 Through 27-08-2020",
year = "2020",
month = aug,
doi = "10.1109/ISET49818.2020.00021",
language = "English",
series = "Proceedings - 2020 International Symposium on Educational Technology, ISET 2020",
pages = "53--56",
editor = "Wang, {Fu Lee} and Oliver Au and Punpiti Piamsa-nga and Lap-Kei Lee and Pornthep Anussornnitisarn",
booktitle = "Proceedings - 2020 International Symposium on Educational Technology, ISET 2020",
}