Triangulating multimodal data: Data of interaction logs, learning achievement, and motivation of L2 learners in a computer-assisted language learning environment

This dataset comprises detailed interaction log data from 201 learners engaged in second language (L2) English reading assignments with an intelligent computer-assisted language learning (ICALL) system over a six-week period. After preprocessing, a total of 116,168 clickstream data points were generated, capturing learners' behaviours, such as navigation patterns and task engagement within the system. In addition to the interaction logs, the dataset includes learners' L2 reading proficiency test scores collected before and after the learning period and self-reported measures of motivation toward the subject. These multimodal data provide valuable insights into how learners engage with online learning materials, how person-level factors such as motivation interact with digital reading behaviours, and how digital traces can be used to predict learning achievement.