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…

In this article, we explore the concept of a "hidden curriculum" within generative AI, specifically Large Language Models (LLMs), and its intersection with the hidden curriculum in education. We highlight how AI, trained on biased human data, can perpetuate societal inequities and discriminatory practices despite appearing objective. We…

Biodiversity education, as part of a broader environmental education is an important topic, not only for politicians, journalists but also teachers. In the educational context, it is now recognized that students have to be taught biodiversity, its conservation and how to use it in a durable. In this paper, we are interested in assessing how…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

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…

The "TextEvaluator"® text analysis tool is a fully automated text complexity evaluation tool designed to help teachers, curriculum specialists, textbook publishers, and test developers select texts that are consistent with the text complexity guidelines specified in the Common Core State Standards.This paper documents the procedure used…

Despite the COVID-19 pandemic, the EUROCALL society succeeded in holding the 28th EUROCALL conference, EUROCALL2020, on 20-21 August as an online, two-day gathering. The transition process required to make this happen was demanding and insightful for everyone involved, and, in many ways, a logical consequence of the core content and purpose of…

The nature of literacy associated with the widely used new medium of microcomputers has not been fully exploited by schools to foster development of literacy programs. Microcomputer applications need integration with classroom activities where students construct language meaning. (19 references) (CJH)