In biology education, it is crucial to be able to classify objects based on complex visual information (e.g., shapes and locomotion patterns of fish). Usually, this ability is trained with books displaying static features and only explaining dynamic features. However, for many classification tasks the dynamic features are very important. Therefore, the overall aim of the two studies described in this paper was to develop an innovative instructional technique for teaching classification skills to students using dynamic visualizations. In order to develop this technique, the first study was conducted to analyze classification processes of experts and novices in detail. This was done by investigating process-oriented differences between experts and novices using eye movements and verbal data obtained during classifying the locomotion pattern of different types of fish. In a second study the process data of experts are replayed to novices in order to support novices in adapting experts' classification strategies.