What does the use of algorithms mean for the autonomy of teachers?
The second episode of our webinar series ‘Data4Learning’ focuses on the meaningful and ethical use of data for student learning. More specifically, the second episode will tackle the topic “What does the use of algorithms mean for the autonomy of teachers?” Three speakers will share their experience and insights on the issue.
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Artificial Intelligence (AI) and data-driven educational practices are increasingly used in schools across the world, promising a revolution in the way teaching is taking place and students learn. However, the increase in the integration of such technologies in formal education contexts has raised multiple questions around ethical uses, privacy, and security of students, as well as questions about the role of the teacher in this new schooling context.
- We will discuss questions such as:
- How is data used for learning?
- What are the potential benefits that data-driven practices can bring?
- What are the limitations?
- What does it mean when the algorithms take decisions that usually the teacher take?
- What are the necessary steps to ensure teachers possess the right skills and competences to make best use of this data?
- How can we agree on a way forward that harnesses the benefits of AI without compromising students’ privacy and teachers’ agency?
Speakers
Following speakers will share their experience and insights on the issue:
Teachers / speakers
Inge Molenaar
Inge Molenaar is director of the National Education Lab AI (NOLAI) and associated professor Educational Sciences at the Behavioural Science Institute at Radboud University in the Netherlands.
Tapani Saarinen
Tapani Saarinen is teacher at the European School Brussels II and member of the expert group on artificial intelligence (AI) and data in education and training
Neil Selwyn
Neil Selwyn is Distinguished Professor in the Faculty of Education, Monash University, Melbourne, Australia.
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