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Global integration of AI literacy in elementary education requires addressing infrastructure gaps, teacher preparation, and cultural relevance while ensuring equitable access across different socioeconomic contexts.

Objective To examine current global initiatives for integrating AI literacy into elementary education and analyze the opportunities and challenges in implementing AI literacy education programs worldwide Methods Literature review and... continue

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Using AI-assisted AR activities improves preservice teachers' geometric thinking and technological literacy while reducing barriers to using complex AR tools in education.

The study aimed to examine the effectiveness of AI-assisted Augmented Reality AR activities on developing preservice teachers' geometric reasoning and evaluate the practicality of these activities in teaching platonic solids... continue

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An AI-powered math tutor accessible via WhatsApp significantly improved math performance of students in Ghana, with an effect size comparable to an extra year of learning.

Objective To evaluate the impact of Rori an AI-powered math tutor accessible via WhatsApp on math performance of students in Ghana Methods Randomized controlled trial with approximately students in grades... continue

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Generative AI can significantly improve student performance during assisted practice, but can harm learning outcomes when access is subsequently removed.

Objective To investigate how generative AI specifically GPT- affects human learning in high school math classes Methods Large-scale randomized controlled trial with nearly students across three high school grades Three... continue

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Large language models (LLMs) can both help and harm learning outcomes in coding education, depending on how students use them.

Objective To investigate how generative AI specifically large language models LLMs impacts learning outcomes in coding classes Methods Study Field data analysis from two university-level programming courses Studies and Controlled... continue

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AI-based math learning platforms are effectively implementing personalized learning experiences through data analysis, dashboards, and adaptive content, but lack sufficient peer interaction features.

Objective To conduct a comprehensive analysis of AI-based personalized math learning platforms for K- education using Montebello's framework Methods Analyzed global math learning platforms using criteria based on Montebello's framework... continue

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Pre-Service Science Teachers’ Intention to use Generative Artificial Intelligence in Inquiry-Based Teaching

Pre-service science teachers' AI literacy subjective norm attitude perceived behavioral control and perceived usefulness significantly influence their intention to use AI for inquiry-based learning while their concerns about generative AI... continue

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New educational realities in the digital era require addressing AI, data analytics, diversity, social-emotional aspects, pedagogy, policy, and teacher education to effectively integrate technology in education.

The main goal of this special issue is to present international perspectives on new educational realities in the digital era reflecting on the themes discussed at EDUsummIT Methods The special... continue

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Pre-service early childhood teachers' digital literacy and self-efficacy positively influence their perception of AI education for young children.

The main goal of this study was to explore the effects of pre-service early childhood teachers' digital literacy and self-efficacy on their perception of AI education for young children Methods... continue

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Innovative pre-service teachers are more likely to use AI-powered tools interactively in their lesson plans.

The main goal of this study was to examine the integration of AI-powered tools into lessons by pre-service teachers in the context of the diffusion of innovation theory Methods The... continue

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Using ChatGPT may not significantly improve preservice science education teachers' writing skills compared to critical digital literacy approaches.

The main goal of this study was to examine the efficacy of ChatGPT in developing science education preservice teachers' writing skills from their perspective Methods The study employed a mixed-method... continue

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Performance expectancy is the primary factor influencing preservice mathematics teachers' intention to use AI chatbots for educational purposes in China.

The main goal of this study was to examine the factors influencing the adoption of AI chatbots by preservice mathematics teachers in China Methods The study employed the UTAUT model... continue