What is EDU.analytica

Overview With increasing emphasis being placed on finding equitable ways to gauge accountability, being able to parse and approach data on educational achievement in more sophisticated ways has become increasingly important. This was the seed that germinated into what today is EDU.analytica.  However, education data analysis was only the beginning. As the need to introduce more cost-effective, user-friendly and reliable technology both in classrooms and in distance learning environments grows, so does the need to keep information technology costs from ballooning out of control while budgets come under ever-increasing pressure.  EDU.technica was the natural evolution of how information systems are used in new […]

What do we mean when we talk about data modelling? An overview of different types of models

The real world, whether it be the physical world, for example machines, or the natural world, for example human and animal behaviour, is very complex with many factors, some unknown, determining their behaviour and responses to interventions. Even if every contributory factor to a phenomenon is known, it is unrealistic to expect that the unique contribution of each factor to the phenomenon can be isolated and quantified. Thus, mathematical models are simplified representations of reality, but to be useful they must give realistic results and reveal meaningful insights. In his 1976 paper ‘Science and Statistics’ in the Journal of the […]