Reimagining the machine learning life cycle to improve educational outcomes of students

LT Liu, S Wang, T Britton… - Proceedings of the …, 2023 - National Acad Sciences
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 …

Artificial intelligence for social good: A survey

ZR Shi, C Wang, F Fang - arXiv preprint arXiv:2001.01818, 2020 - arxiv.org
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 …

Captivate! contextual language guidance for parent–child interaction

T Kwon, M Jeong, ES Ko, Y Lee - … of the 2022 CHI Conference on …, 2022 - dl.acm.org
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 …

Impact of interaction context on the student affect-learning relationship in child-robot interaction

H Chen, HW Park, X Zhang, C Breazeal - Proceedings of the 2020 ACM …, 2020 - dl.acm.org
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 …

Lost in translation: Reimagining the machine learning life cycle in education

LT Liu, S Wang, T Britton, R Abebe - arXiv preprint arXiv:2209.03929, 2022 - arxiv.org
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 …

[PDF][PDF] MRF-Chat: Improving Dialogue with Markov Random Fields

I Grover, M Huggins, C Breazeal, HW Park - 2021 - dspace.mit.edu
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 …

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 …