AI-assisted writing instruction in K-12 education enhances students' critical literacy skills by transforming AI tools from simple copy-paste utilities into catalysts for critical thinking, metacognitive development, ethical reasoning, and analytical prob
AI-assisted writing instruction in K- education enhances students' critical literacy skills by transforming AI tools from simple copy-paste utilities into catalysts for critical thinking metacognitive development ethical reasoning and analytical... continue
K–12 school leaders who implement differentiated professional development, ensure digital equity, and actively model technology use create sustainable classroom technology integration that enhances student learning outcomes.
K ndash school leaders who implement differentiated professional development ensure digital equity and actively model technology use create sustainable classroom technology integration that enhances student learning outcomes Objective The primary... continue
Despite promising effectiveness in isolated applications, AI technologies in elementary STEM education remain fragmented across disconnected systems, with only 15% of studies addressing integrated STEM learning, revealing eight critical gaps—including dev
Despite promising effectiveness in isolated applications AI technologies in elementary STEM education remain fragmented across disconnected systems with only of studies addressing integrated STEM learning revealing eight critical gaps mdash... continue
As of the 2024-25 school year, fewer than one-quarter of Florida school districts explicitly addressed AI in their codes of conduct, with urban and larger districts serving diverse populations more likely to establish policies, while rural and predominant
As of the - school year fewer than one-quarter of Florida school districts explicitly addressed AI in their codes of conduct with urban and larger districts serving diverse populations more... continue
Pre-service technology teachers demonstrate modest overall advantages in AI literacy compared to secondary technical students, with competency-level gains concentrated in understanding intelligence and programmability, yet no between-group differences eme
Pre-service technology teachers demonstrate modest overall advantages in AI literacy compared to secondary technical students with competency-level gains concentrated in understanding intelligence and programmability yet no between-group differences emerge in... continue
While higher exposure to AI tools and greater adult supervision significantly reduce privacy-related negative experiences among K-12 students, self-perceived understanding of data protection does not correlate with improved outcomes, revealing a critical
While higher exposure to AI tools and greater adult supervision significantly reduce privacy-related negative experiences among K- students self-perceived understanding of data protection does not correlate with improved outcomes revealing... continue
AI technologies can effectively bridge persistent K–12 learning gaps by personalizing instruction, enhancing accessibility, and empowering educators, but realizing this potential requires equitable access, ethical data practices, and maintaining the essen
AI technologies can effectively bridge persistent K ndash learning gaps by personalizing instruction enhancing accessibility and empowering educators but realizing this potential requires equitable access ethical data practices and maintaining... continue
Embracing AI imperfections as teaching tools significantly enhances pre-service teachers' critical digital literacy and ethical awareness, with 87% reporting heightened ethical consciousness and 78% perceiving stronger critical thinking skills after struc
Embracing AI imperfections as teaching tools significantly enhances pre-service teachers' critical digital literacy and ethical awareness with reporting heightened ethical consciousness and perceiving stronger critical thinking skills after structured engagement... continue
K-12 educators express strong interest in AI integration but lack adequate training, with 74% citing insufficient professional development as the primary barrier—highlighting an urgent need for role-specific, hands-on AI training programs.
K- educators express strong interest in AI integration but lack adequate training with citing insufficient professional development as the primary barrier mdash highlighting an urgent need for role-specific hands-on AI... continue
AI use in K–12 education is increasing rapidly, but current tools rely heavily on text interaction and largely fail to support students with disabilities and diverse learning needs.
AI use in K ndash education is increasing rapidly but current tools rely heavily on text interaction and largely fail to support students with disabilities and diverse learning needs Objective... continue
AI-enabled personalized STEM education in K–12 classrooms significantly improves student learning outcomes, especially when supported by AR/VR technologies and collaborative, teacher-guided learning environments.
AI-enabled personalized STEM education in K ndash classrooms significantly improves student learning outcomes especially when supported by AR VR technologies and collaborative teacher-guided learning environments Objective The study aimed to... continue
An AI-driven predictive model using XGBoost with L2 regularization, SMOTER, and Active Learning successfully predicts optimal Mathematics Education Technology (MET) usage duration, with model-guided implementation significantly outperforming traditional m
An AI-driven predictive model using XGBoost with L regularization SMOTER and Active Learning successfully predicts optimal Mathematics Education Technology MET usage duration with model-guided implementation significantly outperforming traditional methods in... continue