Proposed framework for data mining in e-learning: The case of open e-class

Web-based learning environments are extensively used nowadays. These environments maintain and produce vast amounts of data. Such vastness lead to the application of data mining techniques so as to further improve usability and qualify e-learning platform courses content. This paper proposes a platform dependant framework for recording, processing and analyzing data from Learning Management Systems (LMS). Its purpose and functionality is to facilitate instructors towards achievement of course efficiency. In depth, the improvements of course content are based on feedback information from data mining techniques over LMS data. In addition, a case study is discussed and an automated data mining tool, under development, is presented.