Kompetenzerwerbsförderung durch E-Assessment: Individuelle Kompetenzerfassung am Beispiel des Fachs Mathematik
This addresses the need for personalized learning in mathematics education, though it appears incremental as it builds on existing e-assessment concepts.
The paper tackles the problem of automatically identifying individual mathematical skills and gaps using micro- and e-assessments, resulting in a software-supported process to guide skill acquisition based on this information.
In this article, we present a concept of how micro- and e-assessments can be used for the mathematical domain to automatically determine acquired and missing individual skills and, based on these information, guide individuals to acquire missing or additional skills in a software-supported process. The models required for this concept are a digitally prepared and annotated e-assessment item pool, a digital modeling of the domain that includes topics, necessary competencies, as well as introductory and continuative material, as well as a digital individual model, which can reliably record competencies and integrates aspects about the loss of such.