Abstract

One of the most used terms these days, alongside "e-learning", is "lifelong learning" (LLL). It is becoming an increasingly topical subject in our rapidly changing society, and its constant evolution and changes brought about by new information technologies. In today's higher education, there are many online learning environments whose primary purpose is to support learning activities. Based on the experience of the COVID-19 pandemic in 2020 and the resulting digital work system introduced in Hungary last spring, we see that teachers in public education also need a well-constructed e-learning environment (framework) with scientifically validated and verified content, developed according to real needs, and based on the principles of didactic design. Learners may have different characteristics - different prior knowledge, motivation or needs. It is therefore very important to develop adaptive learning systems to make the learning process as effective and motivating as possible. This adaptation should take place independently of the course, the creator, or the teacher. In my presentation, I will present the results of a comparison of the most widely used e-learning platforms in Hungary (SAP Learning Solution, ORACLE iLearning, ILIAS and Moodle) in terms of their ability to adapt to the needs and requirements of users. In our theoretical research, we use stratified probability sampling to interview high school and university teachers and students in the form of semi-structured interviews, and content analysis of available online learning materials to increase validity and reliability. Our aim is to show that none of these platforms can achieve full adaptability and that the development of a new adaptive open-source platform is therefore justified.