Association rules as way for building optimal learning path

Abstract EN

With huge number of learning materials distributed in the Internet, students are suffering finding the right materials.

They spend a lot of time, firstly, in surveying and collecting such materials, and then, going through the documents to find the useful information.

Furthermore, these materials may store in such way that make its reading is difficult.

Thus, it will be great help if we guide students during their searching process.

This paper presents a method that is based on well-known data mining technique for With huge number of learning materials distributed in the Internet, students are suffering finding the right materials.

They spend a lot of time, firstly, in surveying and collecting such materials, and then, going through the documents to find the useful information.

Furthermore, these materials may store in such way that make its reading is difficult.

Thus, it will be great help if we guide students during their searching process.

This paper presents a method that is based on well-known data mining technique for constructing browsing path.

The proposed method combines two main approach, the learning path construction approach and the learning object (LO ) recommendation approach.

Firstly, we find a set of candidate LOs based on the well-known Apriori algorithm.

Then, the learning path construction approach uses the extracted rules from the collected learning object to build a reading map.