Educational Science
When learning environments and content adapt to us
Data analysis within education can make learning easier. But only if it is not an end in itself.
If digitalisation continues like this, we will be able to learn in a more personalised way in the future because learning environments and content will adapt to us and not vice versa. By using data from various educational contexts, we can better understand learning and teaching processes, and thus provide support and implement improvements in a targeted manner – this has an effect on learners, teachers, schools, universities, vocational continuing education and life-long learning. And thus, in one way or another, on all of us.
Data must not be used just because it is currently available. Instead, we need to be guided by the requirements and needs of learners and teachers and carefully consider what is made available to whom, when, how, where and, above all, why. Data analysis within education should therefore never be an end in itself. The goal is always to make learning and teaching more effective, efficient or attractive for those involved.