APS
APS Virtual Poster Showcase
Optimal Sequences for Learning: Mechanisms and Applications
How can we optimize learning? The sequence in which we study new information drives both attentional and memory processes to impact generalized learning. Applying experimental and computational methods, four talks will break down the underlying mechanisms and new directions for studying learning and generalization.
Chairs & Discussants
- Veronica YanChair
University of Texas at Austin
Presentations
- The Sequence of Study Changes Local Encoding during Category LearningPaulo Carvalho
- General Knowledge and Detailed Memory Benefit from Different Training SequencesSharon Noh
- Towards an Integrative Model of the Interleaving Effect: Contributions of Spacing and AttentionBrendan Schuetze
- Optimally Scheduling Practice with Economic PrinciplesLuke Eglington