Chunking theory from cognitive science provides a basis for analyzing micro-behaviours in human performance in order to build models of individuals’ understanding of domain content that are richer than those available from current methods used for human-machine communication in AI systems
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
Learning Analytics (LA) has a major interest in exploring and understanding the learning process of ...
International audienceThis paper presents a computational model of the way humans inductively identi...
Memory models are important components that support AI computational models to learn and remember th...
Memory models are important components that support AI computational models to learn and remember th...
Computational models will play an important role in our understanding of human higher-order cognitio...
Presented online on October 8, 2020 at 2:00 p.m.Sidney D’Mello is an Associate Professor in the Inst...
Machine learning systems are increasingly a part of human lives, and so it is increasingly important...
This paper describes an algorithm to detect users' mental chunks by analysis of pause lengths in goa...
\u3cp\u3eLearning Analytics (LA) has a major interest in exploring and understanding the learning pr...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
The tools we use have a great impact on our productivity. It is imperative that tools are designed w...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
Learning Analytics (LA) has a major interest in exploring and understanding the learning process of ...
International audienceThis paper presents a computational model of the way humans inductively identi...
Memory models are important components that support AI computational models to learn and remember th...
Memory models are important components that support AI computational models to learn and remember th...
Computational models will play an important role in our understanding of human higher-order cognitio...
Presented online on October 8, 2020 at 2:00 p.m.Sidney D’Mello is an Associate Professor in the Inst...
Machine learning systems are increasingly a part of human lives, and so it is increasingly important...
This paper describes an algorithm to detect users' mental chunks by analysis of pause lengths in goa...
\u3cp\u3eLearning Analytics (LA) has a major interest in exploring and understanding the learning pr...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
The tools we use have a great impact on our productivity. It is imperative that tools are designed w...
International audienceWorking memory (WM) is a cognitive system allowing short-term maintenance and ...
Learning Analytics (LA) has a major interest in exploring and understanding the learning process of ...
International audienceThis paper presents a computational model of the way humans inductively identi...