This paper presents an investigation of using a co-attention based neural network for source-dependent essay scoring. We use a co-attention mechanism to help the model learn the importance of each part of the essay more accurately. Also, this paper shows that the co-attention based neural network model provides reliable score prediction of…

The annual "What's Hot in Literacy" survey identifies current priorities in literacy education, highlighting the evolving landscape of the field. A panel of twenty-five literacy leaders participate in interviews to identify the most emphasized, least emphasized, and most deserving topics of increased attention. The 2024 findings…

This paper discusses the evolution of assessment for learning (AfL) across the globe with particular attention given to Western educational jurisdictions. Scholars from Australia, Canada, Ireland, Israel, New Zealand, Norway, and the United States discuss prominent assessment reforms within their respective countries over the last decade.…

In an increasingly complex and uncertain world of the future and aligned with the emergence of Society 5.0, exploring alternative futures of education and the curricula in terms of fulfilling the mission of education systems is necessary. Therefore, this study set out to do foresight for the primary school curriculum in Iran. The study was…

This study examines the impact of integrating Ziyang folk songs into the school music curriculum on students' musical skills and cultural appreciation. It aims to explore how traditional music can enhance student engagement, emotional intelligence, and cognitive abilities while promoting cultural preservation. A qualitative research methodology…

These proceedings contain papers of the 6th International Baltic Symposium on Science and Technology Education (BalticSTE2025) held in Šiauliai, Lithuania, June 16-19, 2025. This collection of BalticSTE25 articles presents 13 scientific articles and an introductory article on the topic of natural science and technology education. The articles…

The integration of Artificial Intelligence (AI) into early childhood education raises important pedagogical questions about how to design inclusive, multimodal learning experiences that nurture children's agency and critical literacies. This paper analyzes sixty AI-enhanced teaching scenarios, developed during a national training program, through…

Recent AI-based language learning research highlights learners' crucial role, yet university learner readiness in ChatGPT-based English learning remains unexplored. Accordingly, this current research attempted to develop and validate a tool to evaluate university learner readiness for ChatGPT-assisted English learning (LRCEL) to address the…

The use of generative AI (Chat GPT) for the process of posing mathematical problems was introduced to 15 pre-service teachers (henceforth referred to as "teachers") in a re-training program aimed at teaching advanced secondary school mathematics. After solving mathematical problems, they were given an assignment to pose and refine…

This study evaluates TeacherServer, a generative AI platform for educators, focusing on its effectiveness and usability. Using the Teachers' Acceptance of AI in Education (TAAI) framework, it assesses teachers' perceptions before and after workshops with 148 K-12 teachers from Florida. Results show a notable improvement in teachers' acceptance of…

The introduction of artificial intelligence (AI) in education is seen as a promising tool to enhance learning outcomes and provide students with engaging learning environments in developing countries such as Colombia. This case study aimed to investigate teachers' perceptions of AI in K-12 education in public schools located in the Amazonian…

This article provides a critical thematic literature review that explores the intersection of generative artificial intelligence (GenAI) and social-emotional learning (SEL), analyzing its implications for teacher education. GenAI offers promising applications for enhancing SEL competencies such as self-awareness, empathy, and social skills through…

This study aimed to investigate the effects of artificial intelligence (AI)-supported visualization applications on students' writing disposition during the creative writing process. An explanatory sequential design, a type of mixed methods approach, was adopted. In the quantitative phase, a quasiexperimental design with a pretest-posttest control…

The impact of artificial intelligence (AI) in the educational field highlights its growing significance in transforming teaching and learning processes. AI has garnered attention in education, raising the need to investigate its intersection with current educational methods. The study aims to conduct a systematic literature review to understand…

Amid the ongoing discussion about the potential of LLMs (Large Language Models) to facilitate language learning, there has been a broad spectrum of views in academia. However, little is known about the different viewpoints of students and what contributes to these differences. In light of this, this study adopts Q-methodology, a mixed-methods…