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Paper 1279 – Optimizing Instructional Policies In this paper, the authors adapt an optimization technique based on Gaussian process regression to select the parameters of experiments or teaching regime, which will optimize human performance. They evaluate their method in two behavioral experiments (one on the presentation rate of studied items and another on the ordering of examples while learning a novel concept), demonstrating that it is vastly more efficient than traditional methods in psychology for exploring a continuous space of conditions. Note: I have revised my score to reflect the author feedback's assurance that the starting point of Experiment 1 wasn't the optimum. However, I still don't fully understand how what they wrote in the feedback connects to what they wrote in the paper. I implore the authors to make sure it is clear in the final version of their paper.