The HCAI Block Model provides a comprehensive framework for teaching human-centered AI concepts at the K-12 level by integrating technical and ethical considerations from the ground up.
Objective To develop a competence-based model HCAI Block Model that guides effective teaching learning and research of Human-Centered Artificial Intelligence in K- education Methods The model was developed through four... continue
The study suggests that AI literacy instruction can be effective in improving students' knowledge about AI, their optimism about its benefits, and their sense of agency in shaping its future.
The main goal of the study is to investigate the implementation and perceived effects of AI literacy instruction in a large-scale global setting Methods The study involved a large-scale implementation... continue
K-12 educators in the United States showed limited adoption and understanding of ChatGPT during the 2022-2023 school year, with most taking a reactive rather than proactive approach to its use in education.
K- educators in the United States showed limited adoption and understanding of ChatGPT during the - school year with most taking a reactive rather than proactive approach to its use... continue
Systematic review reveals K-12 AI education evaluations predominantly focus on summative assessments of machine learning concepts in informal settings, highlighting the need for more comprehensive and early-stage formal education approaches.
Systematic review reveals K- AI education evaluations predominantly focus on summative assessments of machine learning concepts in informal settings highlighting the need for more comprehensive and early-stage formal education approaches... continue
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