The integration of a Large Language Model-based Programming Learning Environment (LPLE) significantly improves both students' programming ability and autonomous motivation in high school programming education.
To investigate the impact of an LPLE on first-year high school students' programming ability motivation and basic psychological needs satisfaction in a formal educational setting Methods Quasi-experimental design with first-year... continue
The development and validation of an AI literacy diagnostic tool for elementary school students demonstrates reliable measurement of AI competencies and shows gender-based differences in AI literacy favoring female students.
The main goal was to develop and validate an AI literacy diagnostic tool for elementary school students while establishing a framework for AI literacy content in K- education Methods Developed... continue
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... continue
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... continue
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... continue
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... continue
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