Learning analytics is a data‐driven approach that systematically collects, analyses and reports information about learners and their educational contexts. By harnessing large-scale data from digital ...

As education technology and models have evolved over recent years, data-driven learning has become a necessity. To identify effective ways of creating more customized classroom experiences, many ...

For years educators have been trying to glean lessons about learners and the learning process from the data traces that students leave with every click in a digital textbook, learning management ...

Open Learner Models (OLMs) and learning analytics constitute a transformative approach in educational technology, providing both learners and instructors with clear, interpretable visualisations of ...

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful attention to bias, transparency, and ethical use. Self-learning AI improves threat ...

How does a university take the inordinate amount of data it collects and somehow make sense of it to build strategies for driving change in the classroom? And is it worth the investment? According to ...

A new free resource from 1EdTech Consortium aims to support colleges and universities in navigating the complexities of implementing learning analytics with clarity and purpose. The new report, Six ...

AI is turning training catalogs into smart learning ecosystems that personalize skills, predict needs and help institutions grow B2B upskilling programs. In my work designing and managing EdTech ...

The integration of AI in education brings both benefits and risks. While AI enhances engagement, personalizes learning, and provides valuable insights, concerns arise regarding data privacy, ethical ...

Workforce training and development result in more engaged, motivated, and satisfied employees. Utilities should be investing in these areas to remain competitive. Utilities are becoming increasingly ...