Towards Data and Evidence-driven Education in the Context of Language Teaching and Learning

抄録

Language teaching has a rich research history. A research discipline of Computer-Assisted Language Learning (CALL) has focused on technology integration in that practice. However, integrating the learning logs to create a data-driven workflow for the teachers and students is still limited. We design a technology framework called LEAF (Learning and Evidence Analytics Framework) to integrate daily evidence-based educational practices. The datadriven learning tools integrated into LEAF were implemented in actual live classrooms across multiple universities and schools within Japan. In this paper, we discussed the teaching and learning practices with the LEAF system in a language learning context and its impact. We highlight how to use LEAF for active reading, recommendation-based vocabulary learning, self-directed language learning approaches, and group work for language learning and teaching, specifically in English classes. Moving ahead, we aim to have an evidence-driven approach where the technology can continuously support and update best practices by analyzing the log data gathered continuously from the real-world educational setting.