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Datafication in Education: an Emerging Problem.


The digitalization of processes and services has been considered a form of innovation.
This digital activity laid the foundations for the later phenomenon of datafication, namely, the intensive collection, extraction and the algorithmic manipulation of digital data to produce several types of activities and artifacts.
But in all the educational spaces, this has meant data intense practices with high impact on educators and students. 
In Higher Education, the two main missions, teaching and research, went through several processes of digitalization that encompassed data-intensive practices. Initially fervent discourses embraced data-driven practices as an opportunity to improve efficiency, objectivity, transparency and innovation.
While there is doubtless value in these developments, there are frequent assumptions on the power of algorithms to predict, support or address educational and social processes that could prevent agentic and transformational practices if unsupervised.

Beyond a dystopian vision, data cultures in Higher Education and in Lifelong Learning should be discussed, revisiting the new contingencies datafication imposes in the relationship between teachers and students and towards society.


➡️ More on open research work about this topic here: https://bfairdata.net/

For further information please contact Prof. Juliana Elisa Raffaghelli - juliana.raffaghelli@unipd.it


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