Comunicació presentada a la EMOOCs 2017 Conference, celebrada els dies 22 a 26 de maig de 2017 a Leganés, Espanya.

A range of data analytics is provided to educators about the profile, behavior and satisfaction of students participating in a Massive Open Online Course (MOOC). However, limited research has been conducted on how this informs the redesign of next MOOC editions. This work-in-progress paper presents a study of 4 MOOC educators from Universitat Pompeu Fabra regarding 3 MOOCs offered on the FutureLearn platform. The objective was to evaluate the usefulness and understandability of different types of data analytics of the courses they have offered with respect to specific monitoring goals. Preliminary results show that educators perceived the same information sources and data visualizations differently, satisfaction surveys and comments in the forum were among the most useful information but it was difficult to associate data analytics with the monitoring goals. Further studies for the alignment of educators´ monitoring needs for redesign purposes and the development of appropriate support tools are suggested.

This research is partly funded by RecerCaixa and the Spanish Ministry of Economy and Competitiveness under RESET (TIN2014-53199-C3-3-R) and the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502). DHL is a Serra Hunter Fellow at UPF.