Using an automated writing evaluation (AWE) system for K-12 students leads to positive cumulative effects on ELA performance that peak after three years of implementation.
Using an automated writing evaluation AWE system for K- students leads to positive cumulative effects on ELA performance that peak after three years of implementation Objective To investigate the long-term... continue
K-12 teachers value AI as a collaborative partner in creating customized learning materials, but successful integration requires addressing significant challenges including technical support, training, and infrastructure.
K- teachers value AI as a collaborative partner in creating customized learning materials but successful integration requires addressing significant challenges including technical support training and infrastructure Objective To investigate K-... continue
Professional development focused on AI implementation in K-12 education needs more structure and continuous support to effectively help teachers integrate AI into their teaching practices.
Professional development focused on AI implementation in K- education needs more structure and continuous support to effectively help teachers integrate AI into their teaching practices Objective The study aimed to... continue
Educators generally have positive perceptions of AI but require more professional development and support for effective implementation in educational settings, while businesses are already successfully leveraging AI tools for various operational purposes.
Educators generally have positive perceptions of AI but require more professional development and support for effective implementation in educational settings while businesses are already successfully leveraging AI tools for various... continue
AI technologies in K-12 science education enhance learning outcomes through multiple approaches including robotics, chatbots, machine learning, and automated feedback systems.
AI technologies in K- science education enhance learning outcomes through multiple approaches including robotics chatbots machine learning and automated feedback systems Objective To examine the pedagogical incorporation of AI technologies... continue
Using ChatGPT as a virtual mentor for K-12 students learning science improved student grades by 30% and provided both functional and emotional support when teachers were unavailable
Using ChatGPT as a virtual mentor for K- students learning science improved student grades by and provided both functional and emotional support when teachers were unavailable Objective To evaluate the... continue
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