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20142025
most citedUnpacking the "Black Box" of AI in Education

58 citations · 130 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CY2025

Computational Social Science and Critical Studies of Education and Technology: An Improbable Combination?

Rebecca Eynon, Nabeel Gillani

As belief around the potential of computational social science grows, fuelled by recent advances in machine learning, data scientists are ostensibly becoming the new experts in edu…

cs.CY2023

Understanding and improving social factors in education: a computational social science approach

Nabeel Gillani, Rebecca Eynon

Over the past decade, an explosion in the availability of education-related datasets has enabled new computational research in education. Much of this work has investigated digital…

cs.CY2022★ 58 cited

Unpacking the "Black Box" of AI in Education

Nabeel Gillani, Rebecca Eynon, Catherine Chiabaut +1

Recent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential to improve education. However, AI is a loose umbrella term that refers to a collectio…

cs.CY2016★ 8 cited

Understanding Communication Patterns in MOOCs: Combining Data Mining and qualitative methods

Rebecca Eynon, Isis Hjorth, Taha Yasseri +1

Massive Open Online Courses (MOOCs) offer unprecedented opportunities to learn at scale. Within a few years, the phenomenon of crowd-based learning has gained enormous popularity w…

cs.CY2014★ 16 cited

Communication Communities in MOOCs

Nabeel Gillani, Rebecca Eynon, Michael Osborne +2

Massive Open Online Courses (MOOCs) bring together thousands of people from different geographies and demographic backgrounds -- but to date, little is known about how they learn o…