Radical Solutions and Learning Analytics

Personalised Learning and Teaching Through Big Data

Daniel Burgos (Hrsg.)

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Springer Singapore img Link Publisher

Geisteswissenschaften, Kunst, Musik / Schulpädagogik, Didaktik, Methodik

Beschreibung

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, a 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 behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.


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Schlagwörter

learning and instruction, Artificial Intelligence, Adaptability, Neural Networks, Big Data, Personalised Learning, Informal Learning, Learning Analytics, Adaptive Learning, Learning Experience, Educational Technology