Blended learning, defined as a combination of face-to-face and online learning, is expected to lead to improved education. Besides, practical reasons, like increased access to education and resource management, are mentioned for its implementation. To examine whether the expectation of improved education is met, meta-analyses were conducted.They revealed that, on average, blended learning is somewhat more effective than more traditional learning. Additionally, students evaluated it as equally attractive, but seemed to perceive it as more demanding. In sum, blended learning is equal, or maybe even better, than more traditional learning. However, the effects on effectiveness, attractiveness and perceived demands differed much between studies. Moderator analyses found that quizzes positively affect the effectiveness and attractiveness of blended learning. Concluding, blended learning has potential to improve education, when thoughtfully designed, for example by the inclusion of frequent quizzes.

This article reviews studies investigating segmentation of dynamic visualizations (i.e., showing dynamic visualizations in pieces with pauses in between) and discusses two not mutually exclusive processes that might underlie the effectiveness of segmentation. First, cognitive activities needed for dealing with the transience of dynamic visualizations impose extraneous cognitive load, which may hinder learning. Segmentation may reduce the negative effect of this load by dividing animations into smaller units of information and providing pauses between segments that give students time for the necessary cognitive activities after each of those units of information. Second, event segmentation theory states that people mentally segment dynamic visualizations during perception (i.e., divide the information shown in pieces). Segmentation of dynamic visualisation could cue relevant segments to students, which may aid them in perceiving the structure underlying the process or procedure shown.

Many animations impose a high cognitive load due to the transience of information, which often hampers learning. Segmentation, that is presenting animations in pieces (i.e., segments), has been proposed as a means to reduce this high cognitive load. The expertise reversal effect shows, however, that design measures that have a positive effect on cognitive load and learning for students with lower levels of prior knowledge, might not be effective, or might even have a negative effect on cognitive load and learning for students with higher levels of prior knowledge. This experiment with animated worked-out examples showed an expertise reversal effect of segmentation: segmented animations were more efficient than continuous animations (i.e., equal test performance with lower investment of mental effort during learning) for students with lower levels of prior knowledge, but not for students with higher levels of prior knowledge.