Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer based learning environments (CBLE). Researchers and designers are actively attempting to improve learning systems by...

This paper attempts to develop a tool for exploring the Internet behavioral patterns of students from gender and cultural groups and mining those behaviors’ relationships with users’ academic performance. Modeling these behaviors may be helpful for different stockholders in formulating academic policies and guidelines. EDMINER (Educational Data Miner) is a Web based educational data mining whic...

The uptake of information and communication technologies in the classrooms is a key trend over the past years and decades. Teachers are using Moodle courses, ePortfolios, Google Docs, perhaps learning games or virtual worlds such as OpenSim for educational purposes. A second trend pushes towards a formatively inspired assessment and feedback, often combined with attempts of educational data min...

In the educational arena, Data Mining techniques are acquiring a major importance since the appearance of the e-learning environments. These systems log all the activity carried out by students and instructors, and this raw data, adequately processed, may offer useful knowledge about the learning process for instructors. But data mining techniques are out of the reach of most teachers, e.g., fo...

Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing research community. This paper surveys the application of data mining to traditional educational systems, particular web-based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems. Each of these systems h...