Data-driven learning (DDL) has emerged as a transformative approach in language education, harnessing the power of large textual databases to facilitate empirical insights for teaching and learning.

As education technology and models have evolved over recent years, data-driven learning has become a necessity. To identify effective ways of creating more customized classroom experiences, many ...

When it comes to artificial intelligence (AI), there's plenty to unpack—machine learning (ML), deep learning and natural language processing (NLP) are all playing transformational roles in how fintech ...

Data-driven decisions are increasingly recognized as a critical component of K-12 education, enhancing personalized learning, improving assessment and feedback, optimizing resource allocation and ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

Many organizations today are overwhelmed by vast amounts of data from diverse sources, such as consumer interactions, market trends and operational processes. Mastering data management and analysis is ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...