This study explored the use of machine learning to automatically evaluate the accuracy of
students’ written explanations of evolutionary change. Performance of the Summarization …

Most natural language processing research now recommends large Transformer-based
models with fine-tuning for supervised classification tasks; older strategies like bag-of-words …

Participants in online communities often enact different roles when participating in their
communities. For example, some in cancer support communities specialize in providing disease-…

Machine learning, as an approach for managing large scale challenges in text, has seen a
strong uptick in interest in recent years. Tasks which were once unimaginable to automate …

Research related to online discussions frequently faces the problem of analyzing huge
corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. …

There is a long record of research on equity in schools. As machine learning researchers
begin to study fairness and bias in earnest, language technologies in education have an …

A major component of secondary education is learning to write effectively, a skill which is
bolstered by repeated practice with formative guidance. However, providing focused feedback …

Understanding how children perceive and interact with teachable agents (systems where
children learn through teaching a synthetic character embedded in an intelligent tutoring …

As the demand for explainable deep learning grows in the evaluation of language technologies,
the value of a principled grounding for those explanations grows as well. Here we study …

Educational technologies, and the systems of schooling in which they are deployed, enact
particular ideologies about what is important to know and how learners should learn. As …