article Article Summary
Nov 13, 2024
Digital literacy significantly impacts the intention of pre-service special education teachers to use AI in education through its influence on perceived usefulness and ease of use.
The main goal of the study was to examine the factors that influence pre-service special education teachers' intention to use AI in education focusing on digital literacy teacher self-efficacy perceived ease of use and perceived usefulness Methods The study utilized a survey distributed to pre-service special education teachers at a... continue
article Article Summary
Nov 12, 2024
Pre-service teachers' intention to learn AI is significantly influenced by their basic knowledge of AI, subjective norms, and self-efficacy, explaining about 79% of the variance in their behavioral intention.
Objective To examine pre-service teachers' perceptions and behavioral intention to learn AI by identifying factors that might affect learning and promoting AI in teacher preparation programs Methods Survey of pre-service teachers across universities in North Central Nigeria Used structural equation modeling PLS-SEM to analyze relationships between variables Evaluated nine factors... continue
article Article Summary
Nov 09, 2024
An automatic test question generation system combining natural language processing and deep learning techniques successfully generates high-quality educational questions, outperforming existing models in both automated and human evaluations.
Objective To develop and evaluate an automatic question generation system that can create high-quality examination questions from teaching materials using natural language processing and Topic Model focusing on selecting meaningful declarative sentences and generating relevant questions Methods Two-stage approach combining sentence selection and neural question generation Implementation of topic-embedding question... continue
article Article Summary
Nov 09, 2024
AI implementation in education significantly enhances student learning experiences and outcomes, particularly in mathematics education, as demonstrated through improved academic performance, engagement, and personalized learning pathways.
To investigate the potential of Artificial Intelligence AI in enhancing learning experiences and student outcomes specifically through analyzing various AI tools and conducting a case study in a mathematics classroom Methods Literature review of existing studies on AI in education Case study implementation in a ninth-grade algebra class with students... continue
article Article Summary
Nov 08, 2024
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 determining research gaps Methods The study conducted a comprehensive literature review analyzing multiple research papers and publications It employed comparative... continue
article Article Summary
Nov 07, 2024
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 postgraduate students from various disciplines in Hong Kong Mix of closed-ended and open-ended questions Quantitative and qualitative analysis of responses... continue
article Article Summary
Nov 06, 2024
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 Methods Analyzed written reflections from preservice physics teachers Compared BERT's performance with other deep learning architectures FFNN LSTM Used cross-validation... continue
article Article Summary
Nov 05, 2024
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 modules over weeks Qualitative data collection through teaching artifacts lesson plans and chatbot tasks and self-reports interviews and reflection papers... continue
article Article Summary
Oct 25, 2024
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 analysis of global AI education initiatives Review of policy documents and educational frameworks Analysis of AI literacy programs across different... continue
article Article Summary
Oct 24, 2024
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 Methods Case study with preservice mathematics teachers -week interactive learning environment using ChatGPT Blender and MyWebAR Data collection through AI-assisted... continue
article Article Summary
Oct 18, 2024
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 - from schools in Ghana Treatment group used Rori for two -minute sessions weekly during study hall Control group continued... continue
article Article Summary
Oct 17, 2024
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 treatment arms GPT Base similar to ChatGPT GPT Tutor with learning safeguards and control no AI access Four -minute sessions... continue