Analysis of online one-on-one math tutoring dialogues reveals distinct interaction patterns across grade levels, with high school students showing higher engagement and cognitive abilities while primary students benefit most from active tutor support.
Analysis of online one-on-one math tutoring dialogues reveals distinct interaction patterns across grade levels with high school students showing higher engagement and cognitive abilities while primary students benefit most from... continue
K-12 education needs to rapidly adapt to integrate AI literacy and technical education while carefully balancing pedagogical approaches and ethical considerations.
K- education needs to rapidly adapt to integrate AI literacy and technical education while carefully balancing pedagogical approaches and ethical considerations Objective To examine current practices challenges and provide guidance... continue
Teacher education programs must rapidly integrate AI literacy and tools to prepare future educators for an AI-transformed educational landscape.
Teacher education programs must rapidly integrate AI literacy and tools to prepare future educators for an AI-transformed educational landscape Objective To explore potential uses benefits and challenges of AI tools... continue
There is no significant difference in self-esteem scores between high school students who participated in artificial intelligence (AI) counseling and those who did not when controlling for pretest scores.
Objective To determine the difference in self-esteem scores among high school students who participate in artificial intelligence counseling and those who do not when controlling for pretest scores Methods Quasi-experimental... continue
AI-enabled assessment tools have a moderate positive effect (effect size = 0.390) on students' language learning outcomes in K-12 education.
Objective To explore the design implementation and effectiveness of AI-enabled assessment tools in K- language learning through systematic review and meta-analysis Methods Systematic review of empirical studies from to Meta-analysis... continue
Teachers' self-determination and comprehensive curriculum planning approaches are essential for successful AI education implementation in K-12 schools.
Objective To explore teachers' views on key considerations for preparing implementing and refining formal AI curriculum for K- schools using self-determination theory and curriculum planning approaches as theoretical frameworks Methods... continue
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