A sister journal to Computers & Education, CAEAI is an open access and peer reviewed journal, which welcomes empirical, review, and position papers from the following areas. AI-assisted tutoring for decision-making. AI-based multimedia data analytics in classroom or school settings. AI-enabled learning environment

Temporal pathways to learning: How learning emerges in an open-ended collaborative activity. Learners’ web navigation behaviour beyond learning management systems: A way into addressing procrastination in online learning? How can we design for learning in an AI world?

https://doi.org/10.1016/j.caeai.2023.100147 Research article Open access The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation

A sister journal to Computers & Education, CAEAI is an open access and peer reviewed journal, which welcomes empirical, review, and position papers from the following areas. AI-assisted tutoring for decision-making. AI-based multimedia data analytics in classroom or school settings. AI-enabled learning environment

CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology.

The International Journal of Artificial Intelligence in Education (IJAIED) publishes papers concerned with the application of AI to education. It aims to help the development of principles for the design of computer-based learning systems.

CAAI Artificial Intelligence Research (CAAI AIR) is an Open Access, peer-reviewed scholarly journal, published by Tsinghua University Press, released exclusively on SciOpen.

A sister journal to Computers & Education, CAEAI is an open access and peer reviewed journal, which welcomes empirical, review, and position papers from the following areas.

Mixed-methods approaches integrate both quantitative and qualitative data to provide comprehensive insights into the multifaceted impacts of AI on educational practices, advancing understanding and optimize the integration of AI in educational technology to enhance learning outcomes and educational equity.

2024年8月23日 · Pei-Yi Lin, Ching-Sing Chai, Morris Siu-Yung Jong, Yun Dai, Yanmei Guo, Jianjun Qin: Modeling the structural relationship among primary students' motivation to learn artificial intelligence. 100006