Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…

The number of e-learning platforms and blended learning environments is continuously increasing and has sparked a lot of research around improvements of educational processes. Here, the ability to accurately predict student performance plays a vital role. Previous studies commonly focused on the construction of predictors tailored to a formal…

The teaching function is examined to determine an improved budgetary planning and control system as well as comparisons across universities and polytechnics. The inputs, outcomes and processes of the teaching function are identified and defined, with available data collected and measured with reference to those defined variables and parameters.…

Pius X High School in Downey, California, possesses a highly individualized academic program that stresses new roles for teachers and students; a nongraded continuous progress curriculum; varied, multimedia learning materials and activities; and individualized student scheduling and evaluation. Under the direction of the teacher, who acts as an…