DUDa
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Digital adaptive support for generic and subject-specific data skills
Brief description of the project
Digitalization is fundamentally changing our world. As a result, many aspects of society and science are being recorded in the form of data. For this reason, data literacy, i.e. the ability to deal with large, (un)structured data sets, is becoming increasingly important.
To promote data literacy, the DUDa project pursues an interdisciplinary approach that is new for biology and mathematics didactics, in which generic-statistical and subject-related-biological aspects of data literacy in upper secondary school students are promoted with AI-supported adaptive educational technologies developed in business informatics.
In a design-based research approach, a format for promoting data literacy with the help of educational technologies is being developed with stakeholders from school practice and science, which adaptively supports learners in the phases of the process model. The impact on the data literacy of students and their beliefs about gaining scientific knowledge through data will be investigated.
Structure of the project
The joint project DUDa is headed and coordinated by Prof. Dr. Andreas Eichler at the University of Kassel and comprises the following sub-projects