What can students learn from their own data? Data literacy with student-facing learning analytics

Abstract

<p>With the increasing need to make sense of the ever-growing quantity of data originated from digital interactions, data literacy skills become a basic requirement to navigate everyday tasks. In the field of education, data has gained wide attention, especially with the introduction of analytics from teaching and learning data. Current trends of research on data literacy in learning sciences focus on educators' needs of specific training and knowledge about how to make data-driven decisions that benefit students' progress. Despite little research at the intersection of developing learning analytics (LA) for students and developing their data literacy skills, we argue that student-facing learning analytics (SFLA) can be leveraged for strengthening students' data knowledge and skills. Based on an integrative review of existing literature, we briefly discuss several important considerations that will benefit future implementations at the intersection of SFLA and data literacy.</p>