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Using two case studies from biology, the article demonstrates and analyses how domain-specific self-learning items with variable content can be generated automatically for a  blended learning  environment. It shows that automated item generation works well even for highly specific technical properties and that a good item quality can be produced. Evaluations are based on sample exercises from two courses in botany and genetics, each with more than 100 participants.

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Technical Aspects of Automated Item Generation for  Blended Learning  Environments in Biology: An Analysis of Two Case Studies from the Fields of Botany and Genetics