Learning analytics uses personal data
Learning analytics is the collection and analysis of data from learning environments in order to improve students' learning process. This information is made available to various stakeholders, such as the students themselves, lecturers or degree programme managers. This enables you to better understand and improve the learning process. However, the collection and analysis of data involves the processing of personal data: data that directly or indirectly tells us something about the students involved. This is subject to the Personal Data Protection Act (Wbp).
What you should take into account when using personal data
This guide tells you what you should look out for when collecting student data in order to improve the learning process. Firstly, we will clarify what is meant by personal data and what you are permitted to do with it. We will then address the requirements that you must comply with in order to collect personal data. We will examine the preconditions for data processing and your obligations, in the area of security and disclosure requirements for instance. Furthermore, the guide informs you of the issues you must take into account when using the services of third parties. The requirements relating to data storage are also addressed. The guide concludes with a step-by-step plan.