ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…

In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…

This paper provides a possible strategy for integrating large language artificial intelligence models (LLMs) in supporting students' education in artistic or design activities. We outline the methodological foundations concerning the integration of CHATGPT LLM in the educational approach aimed at enhancing artistic conception and design ideation.…

This study was conducted within the context of bilingual Arabic-Hebrew medium preschools in Israel which were established to incorporate instruction in the native languages of both majority and minority children in the classroom. Bilingual education in various settings produces a wide variety of outcomes in terms of language proficiency, cultural…

Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…

We investigated the receptive American Sign Language (ASL) skills of four separate groups using the 42-item ASL-Receptive Skills Test: Deaf high school-aged students who attended a residential school; deaf incoming college students who preferred signed language; deaf incoming college students who preferred spoken language; and typically hearing…

GPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they are quantifiably worse than real teachers in several pedagogical dimensions. We present the…

We describe research results and lessons learned from a laboratory/classroom collaboration with a school system offering both traditional English-only education and a dual-language track (Spanish/English). Through this collaboration, we addressed basic research questions informing malleable factors that impact cognitive development. In a…

The lack of comprehensive language proficiency assessment models recognizing the nonlinearity and dynamicity of individual differences, as well as the fundamental differences between paper- and computer-assisted language assessments (CALA) served as the rationale to conduct the present study. Drawing on dynamic systems theory, a Nonlinear Dynamic…

With their increased autonomy and flexibility, charter schools can be a promising educational option for students with disabilities. However, during the inception of the charter movement, very few people were focused on ensuring that charter school policies addressed the needs of students with disabilities. Since its creation in 2013, the Center…

Multiple choice questions are traditionally expensive to produce. Recent advances in large language models (LLMs) have led to fine-tuned LLMs that generate questions competitive with human-authored questions. However, the relative capabilities of ChatGPT-family models have not yet been established for this task. We present a carefully-controlled…

Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…

This report summarizes Austin Independent School District elementary dual language teachers' Spring 2016 survey results. Teachers were asked about different aspects of the district's dual language models, instructional practices, and support.

Teacher belief plays an important role in cultivating critical thinking (CT) in foreign language education, but it is unclear whether novice and experienced teachers' beliefs about cultivating CT in foreign language education is different. Considering the importance of teaching experience in shaping teacher belief, 86 novice and 100 experienced…

This study explores how discussing metaphors for AI can help build awareness of the frames that shape our understanding of AI systems, particularly large language models (LLMs) like ChatGPT. Given the pressing need to teach "critical AI literacy", discussion of metaphor provides an opportunity for inquiry and dialogue with space for…