Toward a Categorization of Indicators for Assessment Analytics

Abstract

Recent advancements in assessment analytics provide potential to support learning processes and provide them with relevant informative feedback when needed. Yet, few well-defined indications yield valid data points for assessment analytics. The categorization of indicators that is presented here is designed to provide insights into the possible approaches to assessment and the meaningful connection to assessment analytics. Ethics, social responsibility, privacy, and data protection must be fully respected when following the categorization of indicators for assessment analytics.