Human-initiated EMME scaffolds produced higher debugging performance than automated initiation based on low pupillary activity and removed the usual advantage of prior programming experience.
Eye Movement Modelling Examples as Cues to Guide Attention and Improve Learning in Short or Long Animations
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Not All Scaffolds Are Equal: How Initiation Mode Determines EMME Effectiveness in Debugging
Human-initiated EMME scaffolds produced higher debugging performance than automated initiation based on low pupillary activity and removed the usual advantage of prior programming experience.