The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…

Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…

Discusses the status of training courses conducted by computer manufacturers for their employees, including types of training, trainee classification, course arrangement, fees, examples of courses provided by manufacturers, trends, and future expectations. (MBR)

This report is a revision and expansion of an earlier research report that described the design of the University of Guelph's documentation system for the organization of government publications within university libraries. The design of the Guelph document system represents a deliberate departure from cataloging and classification theory and…