The problem

Datafication in Higher Education

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.

The two main missions in Higher Education, 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 should be discussed, revisiting the new contingencies datafication imposes in the relationship between teachers and students and towards society.

Know

Perspectives
The voice of invited experts via Webinars, about their own approaches to building participatory, fair, balanced data cultures .

Contribute

Mapping Pedagogical Practices
To learn about datafication and promote agency.

Interact

Resources, Activities, Networks
A space for learning that support you to build your own perspective and transformative experimentation.