This study investigated the development of computational thinking (CT) in young children within the specific context of Hong Kong. The researchers utilized an unplugged digital arts activity to explore the CT knowledge exhibited by children and document their developmental trajectories. A sample of 23 children aged 3 to 6 years participated in an…

Computational thinking has become part of the mathematics curriculum in several countries. This has led recently available teaching resources to explicitly integrate computational thinking (CT). In this paper, we investigate and compare how curriculum resources developed in Denmark -- digital teaching modules -- and Sweden -- printed mathematics…

This article unpacks the computational thinking for digital technologies (CTDT) technological area of the New Zealand primary curriculum that became mandatory in 2020. It explores computational thinking (CT), its place in the New Zealand primary curriculum, and elements kaiako can utilise to help implement the teaching of CT. The article considers…

With the increasing emphasis on infusing computational thinking (CT) in PK-12 education, developing teachers' technological pedagogical content knowledge is essential for CT integration. In a graduate online CT course for elementary science, technology, engineering, and mathematics (STEM) teaching, the Authentic Integrated Online Assessment model…

The primary purpose of this study is to investigate the degree to which register knowledge, register-specific motivation, and diverse linguistic features are predictive of human judgment of writing quality in three registers--narrative, informative, and opinion. The secondary purpose is to compare the evaluation metrics of register-partitioned…

This article investigates the roles of the terms agreement and disagreement in teachers' talk in Norwegian Grades 1-4 classrooms. Through an exploration of what teachers said and did when they used these terms, five different themes were identified in the teachers' talk. The teachers tended to use the terms in relation to the process of…

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…

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…

The confusion between an EdD or PhD, the two terminal degrees in education, remains as current as it was at the beginning of the degrees' existence. The common belief is that the EdD is practitioner-oriented and the PhD research-oriented. The aim of present research is to clarify the confusion by conducting a corpus analysis of the aboutness of…

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…

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 examines the impact of the College, Career, and Community Writers Program (C3WP) on upper-elementary students' first draft writing quality, addressing the challenges teachers face in providing timely and effective feedback on extensive student writing, particularly in spelling, grammar, mechanics, and cohesion. The hypothesis posits…

Purpose: Language sample analysis (LSA) provides many benefits for assessing, identifying therapy goals, and monitoring the progress of children with language disorders. Despite these widely recognized advantages, previous surveys suggest the declining use of LSA by speech-language pathologists (SLPs). This study aimed to provide updates on…

This article highlights the need for a new type of corpus that will combine both a learner and a pedagogic corpus. The need for such a type of corpus is underlined by the interaction between input and output and the expected impact of the former on the latter within all instructional settings. Such a corpus will allow us to collect data, including…

Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…