While AI in education offers transformative potential for personalized learning and teaching efficiency, its implementation requires careful ethical consideration and robust frameworks to protect student privacy and ensure educational integrity.
The main goal of this study was to analyze and consolidate existing research on ethical implications of artificial intelligence in education focusing on identifying key concerns evaluating implementation frameworks and... continue
University students generally have positive attitudes towards Generative AI in higher education while expressing specific concerns about its implementation and impact.
To explore university students' perceptions of generative AI technologies like ChatGPT in higher education focusing on their familiarity willingness to engage potential benefits and challenges Methods Survey of undergraduate and... continue
Using a pretrained language model (BERT) significantly improves the automated classification of preservice physics teachers' written reflections.
Objective The main goal was to explore how effectively a pretrained language model BERT could classify segments of preservice physics teachers' written reflections according to elements of a reflection-supporting model... continue
Chatbot-integrated lesson planning activities enhance pre-service EFL teachers' TPACK (Technological Pedagogical Content Knowledge) development and confidence in technology integration.
The study aimed to explore how chatbot-integrated lesson planning modules supported pre-service teachers' TPACK development through technology integration in EFL teaching Methods pre-service EFL teachers participated in five TPACK training... continue
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
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
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
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
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