Based on the characteristics of behavioral patterns, this paper constructs a data-driven
knowledge discovery framework for smart education management. The aim is to realize …

A framework for predicting students' learning performance based on behavioral model is
proposed to model students' behavior and describe their behavior characteristics accurately …

The trend of education informatization continues to spread, and the application of wisdom
education has broadened. The establishment of smart classrooms is mainly dependent on …

Based on data mining technology, this paper applies a combination of theoretical and
practical approaches to systematically describe the background and basic concepts related …

The paper highlights the importance of using data-driven decision-making tools in Higher
Education Institutions (HEIs) to improve academic performance and support sustainable …

Smart education is one of the main applications of Smart cities which requires artificial
intelligence-based models during the education process. Optimizing the educational …

Educational data-mining is an evolving discipline that focuses on the improvement of self-
learning and adaptive methods. It is used for finding hidden patterns or intrinsic structures of …

Educational data mining concerns of developing methods to discover hidden patterns from
educational data. The quality of data mining techniques depends on the collected data and …

Educational Data Mining (EDM) is a promising area of research that leverages
computational methods to improve educational outcomes by extracting valuable insights …

Pattern multiplicity of user interaction in learning management system can be intelligently
examined to diagnose students' learning style. Such patterns include the way the user …