Teacher burnout can have negative consequences for both the teacher and the school environment. In this study, a quantitative, correlational approach was used to examine teacher burnout in relation to their proficiency in technology-integrated instruction. The study aims to investigate whether there is a connection between a teacher's ability to…

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…

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…

This research considers the need to train teachers who can effectively integrate technology for teaching and learning mathematics. The primary goal of this research is to showcase a successful training experience by identifying and describing some indicators of the technological pedagogical content knowledge acquired by pre-service early childhood…

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…

This study aims to enhance native language pedagogy in preschool by integrating interactive, digital, and culturally rooted methods in alignment with the Sustainable Development Goals (SDG 4 and SDG 11). A mixed-methods approach was employed, involving preschoolers and pre-service educators across various institutions. Quantitative data from…

The COVID-19 pandemic has changed the world in numerous ways, but one of the most impactful changes took place in education. The sudden shift from face-to-face learning to e-learning caught many institutions and instructors off guard and unprepared. It required not only adjustments to their educational practices but also to the policies and the…

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…

Objectives: In this study, we investigate the intentions of research scholars to use ChatGPT in their academic research endeavors by employing an extended Unified Theory of Acceptance and Use of Technology model, the UTAUT2, which examines factors such as performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic…

TESOL professionals have published extensively in the last two years about AI's benefits for teaching and learning English, with critique for the use of AI in TESOL mainly focusing on its implications for classrooms and schools. Using Paris and Alim's framework for culturally sustaining pedagogies (CSP), I argue that the outsized environmental…

The integration of artificial intelligence into modern classrooms presents new opportunities and ethical concerns. As AI technologies are adopted in education, they offer the potential to personalize learning experiences, enhance teaching methods, and improve administrative efficiency. However, the use of AI also raises important ethical questions…

Artificial intelligence (AI) tools are becoming increasingly widespread in EFL classrooms as many applications support students in various aspects of language learning. Consequently, many EFL teachers are adapting to and embracing AI as a practical aid in their teaching. This study investigates Myanmar EFL teachers' perceptions of AI writing…