Classification of English Educational Resources Information Based on Mobile Learning Using Cognitive Web Service

English proficiency is increasingly vital in the modern globalized and competitive world, especially for jobs that need cross-cultural communication. Using online educational tools wisely leads to improved proficiency. Digital learning are constantly being owing emergence of new technologies. An essential problem academic circles categorizing assisting investigating different forms digital resources. This research proposes an efficient intelligent system classification resources information based on mobile (CEERI-ML). The suggested design classifies into categories, applying a Classification Marzano Kendall Taxonomy (CMKT). further implements Gagne Learning Categorization Theory (CGLCT) classify levels complexity learning.