Schema fit enables hard ideas to click, learn assimilation vs accommodation and use pattern testing to understand faster ...

Chunking refers to breaking information into small, logical segments to make it easier to process and remember. According to cognitive science research, working memory has a limited capacity and can ...

What is Chunking and Why is it Important? Academically speaking, chunking is essentially the breaking down and selective grouping of the content you want your students to learn. OK, but why is that ...

At the International Conference on Learning Representations on May 6, IBM Research will share a deeper look around how chunk-based accumulation can speed the training for deep learning networks used ...