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
An 18-hour AIPACK training model significantly improves AI knowledge, pedagogical skills, and content integration capabilities among both inservice and preservice non-STEM elementary teachers, with no significant performance differences between the two gr
An -hour AIPACK training model significantly improves AI knowledge pedagogical skills and content integration capabilities among both inservice and preservice non-STEM elementary teachers with no significant performance differences between the... continue
The increased adoption of artificial intelligence in K-12 schools is directly correlated with heightened risks to students, including data breaches, tech-enabled harassment, AI system failures, and troubling student-technology interactions, despite the te
The increased adoption of artificial intelligence in K- schools is directly correlated with heightened risks to students including data breaches tech-enabled harassment AI system failures and troubling student-technology interactions despite... continue
Combining structured planning templates with closed artificial intelligence systems can transform standards-aligned instructional planning for English learners, significantly reducing educators' time spent on administrative tasks while enabling more focus
Combining structured planning templates with closed artificial intelligence systems can transform standards-aligned instructional planning for English learners significantly reducing educators' time spent on administrative tasks while enabling more focused collaborative... continue
Male high school students demonstrated significantly higher scores in Determination and Exploration dimensions of AI attitudes compared to female students, with moderate and small effect sizes respectively, while no gender differences emerged in Collabora
Male high school students demonstrated significantly higher scores in Determination and Exploration dimensions of AI attitudes compared to female students with moderate and small effect sizes respectively while no gender... continue
Middle school students using AI-enhanced Extended Reality (XR) simulations demonstrated significantly higher engagement, motivation, and perceived learning quality compared to students using XR with traditional teacher support alone, while both groups ach
Middle school students using AI-enhanced Extended Reality XR simulations demonstrated significantly higher engagement motivation and perceived learning quality compared to students using XR with traditional teacher support alone while both... continue
While AI holds transformative potential to create equitable K-12 learning environments through personalized instruction and enhanced accessibility, without deliberate ethical design and equitable implementation, it risks deepening educational inequalities
While AI holds transformative potential to create equitable K- learning environments through personalized instruction and enhanced accessibility without deliberate ethical design and equitable implementation it risks deepening educational inequalities through... continue
AI Use in Schools Is Quickly Increasing but Guidance Lags Behind
Summary AI Use in Schools Is Quickly Increasing but Guidance Lags Behind Final Statement AI adoption in K- education has surged dramatically with over half of students and teachers now... continue
A validated 19-item scale measuring K-12 English teachers' ChatGPT-based digital literacy across four dimensions—awareness, competence and application, social responsibilities, and professional development—provides educators and researchers with the first
A validated -item scale measuring K- English teachers' ChatGPT-based digital literacy across four dimensions mdash awareness competence and application social responsibilities and professional development mdash provides educators and researchers with... continue
While generative AI shows promise in supporting early phases of knowledge construction through educational discourse, its ability to function as a true collaborator remains limited, requiring careful attention to tool design, pedagogical integration, and
While generative AI shows promise in supporting early phases of knowledge construction through educational discourse its ability to function as a true collaborator remains limited requiring careful attention to tool... continue