Radical solutions and learning analytics: personalised learning and teaching

Learning analytics become the key for personalised learning and teaching thanks to the storage, categorisation and smart retrieval of big data. Thousands of user data can be tracked online via learning management systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user's performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviors, predictions and patterns that are hinder to the regular eye without the process of massive data.

Learning analytics as a breakthrough in educational improvement / Francisco José García-Peñalvo -- Data, mark of a new era / Richard Tong [and four others] -- Research ethics guidelines for personalized learning and teaching through big data / Jako Olivier -- Management process of big data in high education as sociotechnical system / Marcel Simonette and Edison Spina -- Learning analytics and e-assessment - towards computational psychometrics by combining psychometrics and learning analysis / Hendrik Drachlser and Frank Goldhammer -- Motor imagery experiment using BCI: an educational technology approach / Camilo Andrés Ortiz Daza [and three others] -- Visual learning analytics for a better impact of big data / Roberto Therón -- Preventing student and faculty attrition in times of change / Pablo Munguia.