What do initiatives such as personalized and adaptive learning, chatbots for education,
automatic translators or the use of predictive learning analytics have in common? All of them are components of a ‘data-driven education’.
In many countries, there is a clear interest in expanding the role of digital technologies in education, which inevitably is leading towards more data-intensive educational systems. With the growing interest for adaptive intelligent tutoring systems offering natural language interaction, tools for predicting school dropout or new automated systems to boost student recruitment, it is likely that the importance of data-intensive technologies for education will increase in the years to come.

Goals (SDGs). It helps us to focus policies and make better decisions. It is needed to set targets, measure progress towards those targets and to hold governments accountable to their commitments under the SDGs.
ial products that households and firms use, questions about how these services are affecting consumers, providers, and the economy as a whole have become central. A new
law. Topic notes and related research provide further analysis of the data. To gain new insight into how women’s employment and entrepreneurship choices are affected by legal gender discrimination, this study examines ten years of Women, Business and the Law data through an index structured around economic decisions women make as they go through different stages of their working lives.
my phone started buzzing with well wishes for a happy women’s day from my friends in Asia, filling me with — ambivalence. To be honest, the day always leaves me with mixed feelings: despite the great strides that the world has made in women’s rights in various ways, for me, it’s also a reminder of how so many women still don’t enjoy our basic human rights.
measurements at unprecedented resolution, frequency and scale. 
you can enjoy an Impossible Burger (meat industry disrupted) delivered by Caviar (food delivery disrupted) to your AirBnB (hotel industry disrupted) while you’re on FaceTime (telecommunication industry disrupted) urging your teenager to get back to lessons on Khan Academy (education industry disrupted). And all the while, you’re leaving a trail of digital data points.
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