Data4Learning: What does the use of algorithms mean for the autonomy of teachers?
The speakers discuss the use of data to gain insights into how students learn, how teachers teach, and how this can inform and improve teaching and learning. They also discuss the potential benefits, risks, and limitations that data-driven practices can bring. Some of the benefits include the ability to adjust educational processes to the individual needs of students. In contrast, some of the risks and limitations have data bias, privacy concerns, and the impact on teacher autonomy. The speakers also discuss the different types of data used in education and the challenges of using algorithms to generate data.
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This is a summary of a webinar that discusses data-driven practices in education. 
















