This paper focuses on a summer writing program we called GANAS with bi/multilingual youth, including English learners and one youth with a learning disability, that sought to facilitate sociocritical literacies (SL) based on youths' lived experiences to imagine new social futures. Envisioned as a social design experiment, we used testimonio as a…

The integration of generative artificial intelligence (GenAI) is reshaping biomedical engineering (BME) education. This paper presents insights from "The Fifth Biomedical Engineering Education Summit", which brought together educators from across the U.S. to address challenges and opportunities in integrating GenAI into BME curricula.…

This study investigates how generative AI technologies influence pre-service teachers' pedagogical thinking and instructional design practices within a vocational education context. Drawing on a qualitative framework, the research engaged students in a task-based learning environment that integrated tools such as ChatGPT and image generators into…

Purpose: Specific forms of data use in schools, particularly those that involve students in interpreting and utilizing the data about themselves, are gaining recognition. This exploratory qualitative study focused on students' involvement in the use of data coming from a national survey. Design/methodology/approach: In three best-practice schools,…

Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption. This article presents insights and use cases from the integration of LLMs into a first-year undergraduate computer science cohort. By employing LLMs as…

This study aimed to design an integrative instructional model to enhance Islamic legal literacy, ma?la?ah reasoning, and the character of religious moderation character through digital technology. Employing a Research and Development (R&D) approach tailored for Islamic higher education, the research involved needs analysis, model development,…

The integration of Artificial Intelligence (AI) in education offers transformative opportunities for personalized learning and efficient instructional practices. However, the successful adoption of AI in classrooms is contingent upon teachers' preparedness, technological literacy, and understanding of ethical considerations. This study examined…

Scaling up evidence-based educational interventions presents challenges, particularly in adapting to new contexts while maintaining fidelity. Structured adaptations that integrate the strengths of experimental science (high fidelity) and improvement science (high adaptation) represent a novel design framework for supporting the equitable…

Preparing new teachers for the reality of artificial intelligence in education (AIEd) has become a pressing issue. This study was conducted in a Canadian teacher education program that offers a course on digital technologies incorporating a module on AIEd. This paper addresses two research questions: 1) What were teacher candidates' (TCs')…

This study aims to investigate the artificial intelligence (AI) literacy levels of pre-service teachers and their views on the use of AI in education. Adopting a mixed-methods approach, the study employed both quantitative and qualitative techniques to ensure comprehensive analysis. The quantitative data were collected using the "Artificial…

Australian literacy classrooms are shaped by an unprecedented time of national curriculum reform. Australian teachers follow a national English curriculum with the pressures of national standardised assessment, state interpretation (state-based syllabus and support documents) and localised system requirements influencing their pedagogical…

Publicly funded prekindergarten (pre-K) has received substantial investments in recent decades. A robust literature base has shown that pre-K, in general, tends to be associated with shorter-term rather than longer-term impacts. Yet, these findings are not definitive across varying state contexts and student demographic groups. The current study…

According to the SEND Code of Practice (DfE, 2015), cognition and learning difficulties encompass a wide range of needs, including general and specific learning difficulties. These difficulties affect various areas of learning including literacy, numeracy, and the acquisition of subject-specific knowledge and skills and may be linked to underlying…

This study investigates how generative AI technologies influence pre-service teachers' pedagogical thinking and instructional design practices within a vocational education context. Drawing on a qualitative framework, the research engaged students in a task-based learning environment that integrated tools such as ChatGPT and image generators into…

This report highlights Harlingen Consolidated Independent School District's 2022-2023 implementation of "My Reading Academy" with kindergarten, 1st, and 2nd grade students across its 17 elementary schools. The district began using "My Reading Academy" with 10 classrooms of pre-kindergarten and kindergarten students in spring…