Evidence of error-driven cross-situational word learning

One powerful way children can learn word meanings is via cross-situational learning, the ability to discern consistent word-referent mappings from a series of ambiguous scenes and utterances. Various computational accounts of word learning have been …

Exploring informal science interventions to promote children's understanding of natural categories

Categories carve up the world in a structured way, allowing people to inductively reason about the properties of novel exemplars. Children are still in the process of learning category structure, and often fail to leverage the inductive power of …

Detecting reading strategies during task-oriented reading: Building an automated classifier

Secondary school students are continuously asked to read texts and execute tasks related to these texts. Many students experience difficulties in reading to successfully perform these tasks. Task-oriented reading is conceptualized as an adaptive …

Optimized behavior in a robot model of sequential action

The other human in the loop: A pilot study to find selection strategies for active learning

Children's familiarity preference in self-directed study improves recognition memory

Executive function and attention predict low-income preschoolers' active category learning

Leveraging mutual exclusivity for faster cross-situational word learning: A theoretical analysis

Quantifying the impact of active choice in word learning

A Dream Model: Reactivation and re-encoding mechanisms for sleep-dependent memory consolidation

We humans spend almost a third of our lives asleep, and there is mounting evidence that sleep not only maintains, but actually improves many of our cognitive functions. Memory consolidation–the process of crystallizing and integrating memories into …