
EarthArXiv (California Digital Library), Год журнала: 2024, Номер unknown
Опубликована: Авг. 22, 2024
This study introduces an end-to-end framework for deploying artificial intelligence (AI) enabled educational assistants tailored specifically environmental sciences learning needs in higher education. Leveraging state-of-the-art AI and natural language processing (NLP) technologies, the provides personalized experiences by facilitating access to complex data integrating seamlessly with Learning Management Systems (LMS) like Canvas Moodle. The Educational Hub agents are designed enhance course-specific utilizing innovative document parsing methods, such as Nougat technique, accurately interpret content. system offers academic support, adapting individual student extending its capabilities quantitative subjects through code execution. also emphasizes importance of accessibility, inclusivity, user privacy. results showcase potential enhanced engagement improved understanding concepts software tools, demonstrating significant impact settings, especially disciplines involving interactions. A case study, presented at 12th International Congress on Environmental Modelling Software, illustrates Hub's effectiveness improving
Язык: Английский