The X5GON project is creating a solution that will help users/students find what they need not just in Open Educational Resources (OER) repositories, but across all open educational resources on the web. This solution will adapt to the user’s needs and learn how to make ongoing customized recommendations and suggestions through a truly interactive and impactful learning experience. This new AI-driven platform will deliver OER content from everywhere, for the students’ need at the right time and place.
Within the project we collect learning materials data that are openly licensed, and user activity data that is acquired by the X5GON snippet integrated in different OER repositories. The user data we acquire through the snippet is anonimized and consists of the following values:
For more information about the acquired data access the X5GON snippet documentation available HERE.
The acquired user data is used to identify users learning interests and give personalized recommendations. The material URL, refferer URL, access date and language will be given to the learning analytics engine and recommendation engine which will return a list of learning materials that the user might be interested in. Additionally, it will be used to identify which OER materials are highly requested and frequently viewed (giving an indication of its quality), and to find learning pathways, e.g. sequence of materials the users tend to follow.
User agents value is used to distinguish data of real users from bots allowing us to improve learning analytics and recommendation results by using only real users data.
To stop participating the user can delete the cookie named x5gonTrack which contains the user generated ID. This can be done in the the users browser. In addition, on the OER repositories that are a member of the X5GON Network, you must disable providing your user activity information. NOTE: this will also stop giving the user personalized recommendations on OER repositories that included the X5GON snippet.
Your data is processed by the X5GON Project consortium which include: