Adaptive navigation support normally attempts to make selecting a relevant hyperlink as easy as possible. However, in educational applications, this may have negative learning effects since selecting a link is sometimes an important educational problem for the student to solve. To provide appropriate scaffolding to students, it is necessary to understand how they navigate in hypermedia sites. B...

When developing serious games the most complex task is the alignment of instructional teaching methods and the game itself. To address this issue, we propose a shared language modeling approach for educational instructors and game developers. The language is based on so called serious game bricks, composites and rules. Combining these pedagogical and story elements allows the domain experts to ...

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...

Background and objectives: Educational technology is widely used in all parts of medical education. The use and application of common educational technologies and adoption of educational design patterns in medical sciences education can greatly help in medical simulations, training, and improving of clinical skills of nurses and medical students. The aim of this research was to study computer-a...

We present a user study to investigate which factors affect student attention to user-adaptive hints during interaction with an educational computer game. The game is Prime Climb, an educational game designed to provide individualized support for learning number factorization skills in the form of hints based on a model of student learning. We use eye-tracking data to capture user attention pat...

Educational Data Mining (EDM) is an emerging field that uses statistical and machine learning algorithms to find patterns in massive educational data sets. It is commonly used to solve problems such as predicting admission outcome and student performance. This project applies educational data mining techniques to the admission data of the graduate programs in the Computer Science Department of ...