Data mining technology for the evaluation of learning content interaction

Interactivity is central for the success of learning. In e-learning and other educational multimedia environments, the evaluation of interaction and behaviour is particularly crucial. Data mining – a non-intrusive, objective analysis technology – shall be proposed as the central evaluation technology for the analysis of the usage of computer-based educational environments and in particular of the interaction with educational content. Basic mining techniques are reviewed and their application in a Web-based third-level course environment is illustrated. Analytic models capturing interaction aspects from the application domain (learning) and the software infrastructure (interactive multimedia) are required for the meaningful interpretation of mining results

Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.

This report gives an overview of the most relevant organisational and\ud behavioural aspects regarding user profiling. It discusses not only the\ud most important aims of user profiling from both an organisation’s as\ud well as a user’s perspective, it will also discuss organisational motives\ud and barriers for user profiling and the most important conditions for\ud the success of user profiling. Finally recommendations are made and\ud suggestions for further research are given

The Expanding Role of Analytics in Operations

In the competitive business world today, every company must keep up with technological advances and, therefore, incorporate data analytics into their operations. Data analytics are a vital aspect of every department in every company. When these analytics are operationalized, or the analytics are automated and applied to the operational side, companies can increase productivity, efficiencies, and customer satisfaction. Through my thesis, I establish how utilization of operational analytics can provide a competitive advantage for a company. I walk through the history of analytics, the different platforms involved in making an analytics process operational, as well as the decisions involved. Along with secondary research, I have interviewed different analytics professionals, gained a certification in Tableau, a data visualization platform, and taken a course to learn the basics of the coding language, Python. The operationalization of data analytics is a unique subject that will grow in importance as the digital world develops