Researchers have increasingly utilized artificial intelligence to automatically analyze classroom dialogue, aiming to provide timely feedback to teachers due to its educational significance. However, traditional machine learning and deep learning models face challenges, such as limited performance and lack of generalizability, across various…

Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…

High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

This study investigated cross-linguistic priming in six-year-old, balanced Spanish-English bilinguals (n = 60). We examined bilinguals' production of transitive forms in English (active, passive) after exposure to Spanish transitives (Study 1; M age = 6.2 years; SD = 0.3) and their production of transitive forms in Spanish (active, passive) after…

The current study investigates the impact of the teachers' societal dominant language use within a weak version of translanguaging in early heritage language education. We explored five preschool teachers' use of English, the dominant majority language, in Tamil heritage language classes in Singapore and examined its impact on 33 children's…

The U.S. Department of Education is committed to supporting innovative advances in educational technology to improve teaching and learning across the nation's education systems and to support educators as they incorporate emerging technology into their learning communities. Artificial Intelligence (AI) in education is a complex and rapidly…

Little analytical scrutiny has been devoted to teacher accommodation of academic language at the early childhood level, despite being a critical school-level factor to consider when addressing at-risk learners' academic needs. The present study investigates how fifteen Head Start teachers support three components of academic language during…