Computational Thinking
Computational thinking involves formulating problems and their solutions in a way that a computer can execute, encompassing skills crucial for interacting with and leveraging artificial intelligence. Current research emphasizes improving AI's ability to perform computational thinking tasks, particularly through the development and refinement of large language models (LLMs) and their application in educational settings, including the creation of AI-assisted tools for teaching programming to young children. This field is significant because it addresses the growing need for AI literacy and the development of effective methods for integrating AI into various workflows, impacting both education and the broader workforce.
Papers
ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12
Liuqing Chen, Shuhong Xiao, Yunnong Chen, Ruoyu Wu, Yaxuan Song, Lingyun Sun
The Foundations of Computational Management: A Systematic Approach to Task Automation for the Integration of Artificial Intelligence into Existing Workflows
Tamen Jadad-Garcia, Alejandro R. Jadad