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

Abstract

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.