A new study by learning analytics researchers presents key considerations for generative AI (GenAI) educational tools so they are carefully developed to support, rather than replace, human learning.

PROVIDENCE, R.I. [Brown University] — New research found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as ...

Technology has accelerated faster than organisations – and human neurology – can keep up with tomorrow’s needs, today.

Reinforcement Learning from Human Feedback (RLHF) has emerged as a crucial technique for enhancing the performance and alignment of AI systems, particularly large language models (LLMs). By ...

Brown University researchers found that humans and AI integrate two types of learning – fast, flexible learning and slower, incremental learning – in surprisingly similar ways. The study revealed ...

Digital technologies bring the science of learning to a critical crossroad. With a lack of high-quality, evidence-based data on the effectiveness and quality of digital learning products, there is a ...

Business education has long been criticised for becoming increasingly transactional – focused on content delivery, assessment outcomes, and employability metrics, often at the expense of the human ...

In our rush to understand and relate to AI, we have fallen into a seductive trap: Attributing human characteristics to these robust but fundamentally non-human systems. This anthropomorphizing of AI ...