Developing an evaluation framework of quality indicators for learning analytics

This paper presents results from the continuous process of developing an evaluation framework of quality indicators for learning analytics (LA). Building on a previous study, a group concept mapping approach that uses multidimensional scaling and hierarchical clustering, the study presented here applies the framework to a collection of LA tools in order to evaluate the framework. Using the quantitative and qualitative results of this study, the rst version of the framework was revisited so as to allow work towards an improved version of the evaluation framework of quality indicators for LA.