Ethical issues in learning analytics: a review of the field

Learning analytics (LA) collects, analyses, and reports big data about learners to optimise learning. LA ethics is an interdisciplinary field of study that addresses moral, legal, and social issues; therefore, institutions are responsible for implementing frameworks that integrate these topics. Many of the ethical issues raised apply equally to educational data sets of any size. However, in this study, we focus on big data that increases the scale and granularity of data gathered. The purpose of this study is twofold: (a) to critically review the published (2011-2018) scientific literature on LA ethics issues and (b) to identify current trends and answer research questions in the field. This study's research questions are as follows: what is essential in LA ethics for key educational stakeholders, and what should a proposed checklist for LA ethics include for specific educational stakeholders? After systematically searching online bibliographic databases, journals, and conferences, a literature review identified 53 articles from a sample of 562. The selected articles, based on critical and qualitative content analysis, were exhaustively analysed. The findings demonstrate the shortage of empirical evidence-based guidelines on LA ethics and highlight the need to establish codes of practices to monitor and evaluate LA ethics policies. Finally, this work proposes a useful checklist as an instructional design model for scholars, policymakers, and instructional designers, so that trusted partners may use LA responsibly to improve teaching and learning.