article Article Summary
Nov 07, 2024University 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 postgraduate students from various disciplines in Hong Kong Mix of closed-ended and open-ended questions Quantitative and qualitative analysis of responses... continue
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Nov 06, 2024Using 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 Methods Analyzed written reflections from preservice physics teachers Compared BERT's performance with other deep learning architectures FFNN LSTM Used cross-validation... continue
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Nov 05, 2024Chatbot-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 modules over weeks Qualitative data collection through teaching artifacts lesson plans and chatbot tasks and self-reports interviews and reflection papers... continue
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Oct 25, 2024Global 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 analysis of global AI education initiatives Review of policy documents and educational frameworks Analysis of AI literacy programs across different... continue
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Oct 24, 2024Using 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 Methods Case study with preservice mathematics teachers -week interactive learning environment using ChatGPT Blender and MyWebAR Data collection through AI-assisted... continue
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Oct 18, 2024An 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 - from schools in Ghana Treatment group used Rori for two -minute sessions weekly during study hall Control group continued... continue
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Oct 17, 2024Generative 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 treatment arms GPT Base similar to ChatGPT GPT Tutor with learning safeguards and control no AI access Four -minute sessions... continue
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Oct 16, 2024Large 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 laboratory experiments with randomly assigned treatment LLM access and control groups Key Findings LLM usage has both positive and negative... continue
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Oct 15, 2024AI-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 of Personal Learning Portfolios PLP Personal Learning Networks PLN and Personal Learning Environments PLE Evaluated platforms' features and functionalities related... continue
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Oct 09, 2024Pre-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 and perceived skill readiness do not significantly affect this intention Objective The main goal of this study was to investigate... continue
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Oct 08, 2024New 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 issue includes nine articles written by authors from countries addressing various aspects of technology in education Methods used across the... continue
article Article Summary
Oct 07, 2024Pre-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 The study conducted a survey of pre-service early childhood teachers at two universities in the eastern United States Data were... continue