Mining Web-based Educational Systems to Predict Student Learning Achievements

Mining Web-based Educational Systems to Predict Student Learning Achievements

— Educational Data Mining (EDM) is getting great importance as a new interdisciplinary research field related to some other areas. It is directly connected with Web-based Educational Systems (WBES) and Data Mining (DM, a fundamental part of Knowledge Discovery in Databases). The former defines the context: WBES store and manage huge amounts of data. Such data are increasingly growing and they c...

Educational achievements of student support recipients

Mining and Visualizing Visited Trails in Web-Based Educational Systems

A data mining and visualization tool for the discovery of student trails in web-based educational systems is presented and described. The tool uses graphs to visualize results, allowing non-expert users, such as course instructors, to interpret its output. Several experiments have been conducted, using real data collected from a web-based intelligent tutoring system. The results of the data min...

Student Modelling and Adaptivity in Web Based Learning Systems

Web-based educational systems are now becoming part of main stream education. As an essential component of the web based educational systems, the student model enables the system to provide individualised course contents and study guidance, and therefore to help the students with different backgrounds and knowledge levels to achieve their learning goals effectively on the web. A prototype stude...

Mining Formative Evaluation Rules Using Web-based Learning Portfolios for Web-based Learning Systems

Learning performance assessment aims to evaluate what knowledge learners have acquired from teaching activities. Objective technical measures of learning performance are difficult to develop, but are extremely important for both teachers and learners. Learning performance assessment using learning portfolios or web server log data is becoming an essential research issue in web-based learning, o...