What We Do
At the Language and Educational Analytics Research Lab, we use data science to generate insights about language, learning, and education that support AI-driven theory, applications, research, and interventions.
Our work generally focuses on the use of natural language processing (NLP) techniques and the application of computational tools and machine learning algorithms to better understand language learning, student writing, and text comprehensibility as means to understand underlying cognitive functions. The LEAR lab works with collaborators to develop NLP tools for use by researchers, industry partners, and educational administrators. We also assess the application of NLP techniques like Large Language Models in educational settings (K-12 and adults) as a means of generating and testing student domain knowledge.
Highlights
Our Research
Our research is consistently accompanied by source code and supplementary materials to promote accessibility and reproducibility. We also share early versions of our work on preprint platforms, ensuring free access to our findings ahead of formal publication. By offering these resources, we aim to advance transparency and foster meaningful collaborations across our research community.
Datasets and Competitions
We produce comprehensive, publicly available datasets designed to support a wide range of research efforts. To encourage innovation, we host data-centric competitions where teams of scientists can test their models and solutions. These efforts help drive progress in data analysis while promoting collaboration and knowledge exchange.
Software and Tutorials
We develop specialized tools to assist researchers in the analysis of complex language data. Our software is accompanied by clear documentation and reproducible code to ensure ease of use and integration into various workflows. Through comprehensive tutorials and resources, we empower researchers to effectively leverage these tools in their own studies.
Our Team
We are a multidisciplinary group of researchers with expertise spanning various fields and perspectives. Our team values collaboration, innovation, and a commitment to pushing the boundaries of scientific knowledge. Together, we create an environment that fosters creativity and tackles the most pressing challenges in our research domain.