Reimagining the machine learning life cycle to improve educational outcomes of students
Machine learning (ML) techniques are increasingly prevalent in education, from their use in
predicting student dropout to assisting in university admissions and facilitating the rise of …
predicting student dropout to assisting in university admissions and facilitating the rise of …
Artificial intelligence for social good: A survey
Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …
advance artificial intelligence to address societal issues and improve the well-being of the …
Captivate! contextual language guidance for parent–child interaction
To acquire language, children need rich language input. However, many parents find it
difficult to provide children with sufficient language input, which risks delaying their …
difficult to provide children with sufficient language input, which risks delaying their …
Impact of interaction context on the student affect-learning relationship in child-robot interaction
Prior work in affect-aware educational robots has often relied on a common belief that the
relationship between student affect and learning is independent of agent behaviors …
relationship between student affect and learning is independent of agent behaviors …
Lost in translation: Reimagining the machine learning life cycle in education
Machine learning (ML) techniques are increasingly prevalent in education, from their use in
predicting student dropout, to assisting in university admissions, and facilitating the rise of …
predicting student dropout, to assisting in university admissions, and facilitating the rise of …
[PDF][PDF] MRF-Chat: Improving Dialogue with Markov Random Fields
Recent state-of-the-art approaches in opendomain dialogue include training end-to-end
deep-learning models to learn various conversational features like emotional content of …
deep-learning models to learn various conversational features like emotional content of …
Relational dialogue
MD Huggins - 2021 - dspace.mit.edu
Conversational agents are increasingly common in everyday life. Dialogue with these
agents is often limited to the task at hand, and is not focused on conversation as a shared …
agents is often limited to the task at hand, and is not focused on conversation as a shared …