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the goal of this article is to explore how learning analytics can be used to predict and advise the design of an intelligent language tutor, chatbot Lucy. With its focus on using student-produced data to understand the design of Lucy to assist English language learning, this research can be a valuable component for language-learning designers to improve second language acquisition. In this article, we present students' learning journey and data trails, the chatting log architecture anddoi:10.14569/ijacsa.2013.041117 fatcat:7wtfrqccvjbibh5nxoiu6jvtxi