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…

This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…

The advent of Generative AI technologies, such as ChatGPT, in November 2022, necessitated immediate and critical attention from the educational research community. The impact of GenAI in education, though not yet clear, has the potential to be transformative. More specifically, the focus of this paper is on how to integrate GenAI into elementary…

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…

The potential of speech technology to improve educational outcomes has been a topic of great interest in recent years. For example, automatic speech recognition (ASR) systems could be employed to provide kindergarten-aged children with real-time feedback on their literacy and pronunciation as they practice reading aloud. Within these systems,…

Mobile touchscreen applications present new opportunities for children's language learning. This systematic review synthesizes the evidence on the impact of features of mobile applications on children's language learning. Experimental studies published from 2010 onwards with children aged 3 to 11 years old were included. Of the 1,081 studies…

Contrastive focus, conveyed by prosodic cues, marks important information. Studies have shown that 6-year-olds learning English and Japanese can use contrastive focus during online sentence comprehension: focus used in a "contrastive context" facilitates the identification of a target referent (speeding up processing), whereas focus used…

In order to promote children's collaborative musical creativity in new digital environments, we need a better understanding not only of the sound production capabilities provided by the new digital tools, but also of the interaction affordances involved. This study focuses on the interactional patterns emerging in children's musical creativity,…

Effectively managing a classroom is crucial in promoting positive student outcomes. Behavior-specific praise is an empirically supported strategy to reinforce desirable student behaviors. Following a review of the literature, we identified tactile prompting and self-monitoring as effective methods to increase teachers' use of behavior-specific…

Purpose: The purpose of this study was to determine whether children exposed to 2 languages would benefit from the phonotactic probability cues of a single language in the same way as monolingual peers and to determine whether crosslinguistic influence would be present in a fast-mapping task. Method: Two groups of typically developing children…