Education 4.0, driven largely by digital pedagogy and the integration of online platforms, was sufficient for the early 21st ...

Gather student data, make predictions about their learning—and perhaps their future. For years education companies have tried to apply technologies to better understand students and tailor their ...

With many industries adopting machine learning to improve their business models, the education industry has fallen behind.

The rise of generative AI has made one thing clear: text no longer needs to remain static. With its latest release, Speechify ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

Machine learning is the predictive heart of big data analytics, and one of the key skills that separates data scientists from mere analysts. But getting started with machine learning can be a ...

“Making educational resources available to anyone interested in technology is critical to encouraging a more robust, diverse pipeline of people in artificial intelligence and machine learning ...

Applying business productivity and efficiency models misses the real opportunity. Technology tends to come around in cycles and machine learning is not a new technology to education. In the 90s, ILS ...

Conclusion Given its potential, machine learning has not yet been leveraged substantially in the assessment of patient education materials. We propose machine learning systems that can dynamically ...