This guide grew out of real conversations with teachers. Many of you have shared stories about experimenting with AI tools in ...

Automatic Differentiation (AD) forms a cornerstone in the optimisation of machine learning models, providing an efficient computational method to obtain accurate derivatives. This technique underpins ...

As part of Purdue’s commitment to being at the forefront of translating research to practice and extending the frontiers of excellence in teaching and learning, the university’s Office of the Vice ...

Internal differentiation is a challenge, but possible! Internal differentiation is a challenge, but possible! Have a look at Madeleine Monien's exciting ideas on the topic. What are challenges you ...

The professional standards that define teacher quality in Australia are facing a review, with AITSL charged with presenting ...