Algorithms of Education: How Datafication and Artificial Intelligence Shape Policy

Kalervo N. Gulson delves into the complex interplay between education, datafication, and artificial intelligence in his exploration of contemporary educational policies. He highlights how the relentless push for data-driven decision-making is not just a trend, but a fundamental shift in how educational systems operate and are governed. Gulson analyzes the implications of these changes, urging readers to consider both the benefits and challenges posed by relying heavily on data and AI technologies.

Through a critical lens, Gulson examines the ways in which algorithms influence everything from funding allocations to curriculum development, raising questions about equity, accessibility, and the very nature of knowledge itself. He addresses the impact of surveillance and personalization in educational spaces, making it clear that while these innovations promise efficiency, they also risk entrenching existing inequalities.

The work serves as a call to action for educators, policymakers, and stakeholders to engage critically with the digital transformation in education. Gulson’s insights encourage a re-evaluation of how data not only shapes educational outcomes but also defines the broader societal context within which learning occurs. His examination ultimately seeks to illuminate pathways towards more equitable and inclusive educational practices in an increasingly digital world.