For decades, learning to program has been rooted in the process conception of knowledge. Students learned by doing: by writing code, compiling, fixing syntax errors, and gradually developing fluency ...

ABSTRACT: This study proposes a multimodal AI model for classifying Vietnamese digital learning materials by integrating three key information sources: text content, image and graphic features, and ...

Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...

The current Model Context Protocol (MCP) specification is inadequate to support the development of truly interoperable, intelligent, and user-friendly client applications due to a fundamental ...

This issue focuses on designing a comprehensive movie metadata schema that seamlessly integrates with our existing validation framework while supporting Constitutional AI requirements. The schema must ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

Abstract: This standard is a combination of new and existing metadata terms that were contextualized around learning and bundled with the purpose of addressing many of the common use cases of metadata ...

Abstract: A conceptual data schema that defines the structure of a metadata instance for a learning object is specified in this standard. For this standard, a learning object is defined as any entity, ...