Digitalised versions of the materials developed in IO2 (documents, presentations, and examples of best practices) and video materials (recorded lectures, mini-lessons)
An additional section in national languages where examples of best lesson plans for different school subjects will be uploaded


To access the platform send an email to our project email account: and give your real full name (first name and surname) and email address. You will receive an activation link within several days.

By using the materials available on our platform, you agree to the terms listed below.

The MaMLiSE elearning course is available in open access to all interested participants on CC BY-NC-ND 4.0. licence. This means you are free to copy and redistribute the material in any medium or format but you must give appropriate credit (to the MaMLiSE consortium), provide a link to the licence, and indicate if changes were made.
You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
In order to participate in our courses, including the self-study mode, you need to register.
Please, send an email to with your name, surname and email address to receive personal registration data.
Before you do this, please read the below text.
Disclaimer for the self subscription page in the MaMLiSE project
In order to receive a certificate of an online course completion, it is necessary for the user to register to the platform with their real personal data (name and surname) and not with a nickname.
By registering to the platform, the user acknowledges that they understand and consent that their name and activity in the forums will be visible to other users of the platform.
Users are asked to report inappropriate activity, including forum posts, if they encounter one during their self-study process. If such a need arises, please report it to:
Users who post insulting posts in the forum will be excluded from the training.
The MaMLiSE consortium may use anonymised information about the user activity and content for future research.