This study investigated the different types of errors that learners produce in chat logs and also analyzed the different types of corrective feedback given by the teacher. An eye tracker was employed to study the eye movements of the participants to see how they notice the corrective feedback. This investigation can assist teachers to act better in online classrooms and helps them understand which type of corrective feedback is most likely to result in uptake. The results showed that the most common errors in chat logs were related to grammar. It was also found that both recasts and metalinguistic feedback were noticed most of the time during the chat sessions although only a few of them led to uptake in post task session.