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
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
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
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
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
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
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
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
A strong understanding of AI significantly enhances pre-service teachers' capabilities in AI use, detection, ethics, creation, and problem-solving.
The main goal of this study was to assess the AI literacy among pre-service teachers at a Nigerian university focusing on various dimensions of AI literacy such as understanding use... continue
AI tools have significant potential to transform education, but effective implementation requires careful alignment with learning science principles and ongoing experimentation and evaluation.
AI tools have significant potential to transform education but effective implementation requires careful alignment with learning science principles and ongoing experimentation and evaluation Objective The main goal of this study... continue
Developing and validating an AI literacy test for secondary school students requires further refinement to improve reliability and item difficulty.
The main goal of this study was to develop and validate a -item multiple-choice AI literacy test for Hong Kong secondary school students grades - Methods Developed multiple-choice test items... continue
Pre-service teachers' acceptance of AI in education is primarily influenced by perceived usefulness and ease of use, with gender differences moderating some aspects of acceptance.
The main goals of this study were to examine factors determining pre-service teachers' acceptance of AI in education and investigate gender differences in AI acceptance Methods The study used a... continue