Yi Chieh Wu
Department of Computer Science, National Chengchi University
Email：matywu@gmail.com
Wen Hung Liao
Department of Computer Science, National Chengchi University
Email：whliao@nccu.edu.tw
Qing Mao Zhang
The Affiliated Experimental Elementary School of National Chengchi University
Email：qingmao@nccu.edu.tw
Abstract
This research focuses on exploring the English learning process for elementary school students. We employ Amazon Echo Dot, one of the most popular intelligent voice assistant nowadays, as a tool for facilitating language learning. We developed an Amazon Skill that incorporates the content from English textbooks for the participants to interact with using voice input. The operation logs from Echo Dot faithfully reveal user’s usage patterns and preference. By analyzing the log files, we can observe and classify several user types accordingly. Some students continue to have conversations with the voice assistants. It seems that they are more accustomed to practicing English using verbal interaction rather than relying on visual cues. Analyzing the content of the conversation will certainly disclose more detailed information regarding the learning process. After data collection has been completed, we expect to utilize machine learning techniques to examine the interactive recordings and user logs, with an attempt to evaluate the English listening/speaking abilities of individual student at different points in time.
Keywords :Learning Patterns, Elementary School English Education, Lesson Design,User Behavior Analysis, Computer Assisted Language Learning (CALL), Intelligent Voice Assistant