to dramatically improve our ability to conduct technology-mediated learning experiments in education settings, which include public, private, or charter, nonprofit or for-profit pre-kindergarten, primary schools, secondary schools, colleges, universities, vocational schools, and career and technical education programs.

to dramatically improve our ability to conduct technology-mediated learning experiments in education settings, which include public, private, or charter, nonprofit or for-profit pre-kindergarten, primary schools, secondary schools, colleges, universities, vocational schools, and career and technical education programs.


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The winning team must minimally demonstrate its ability to (a) conduct an Randomized Control Trial (RCT) or Quasi-Experimental Design (QED) using any meaningful and substantive educational intervention, and (b) systematically replicate that experiment multiple times with distinct subgroups in a condensed time frame. While Teams will not be judged on the effectiveness of the intervention they are testing, the intervention cannot be trivial. Judges will have discretion to weight criteria, including, for example, the variability of learner populations and subgroups with which competitors conduct replications, the sample size competitors achieve, and other metrics.

The winning team must minimally demonstrate its ability to (a) conduct an Randomized Control Trial (RCT) or Quasi-Experimental Design (QED) using any meaningful and substantive educational intervention, and (b) systematically replicate that experiment multiple times with distinct subgroups in a condensed time frame. While Teams will not be judged on the effectiveness of the intervention they are testing, the intervention cannot be trivial. Judges will have discretion to weight criteria, including, for example, the variability of learner populations and subgroups with which competitors conduct replications, the sample size competitors achieve, and other metrics.


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The winning team of the XPRIZE Digital Learning Challenge sponsored by IES will (a) build the best infrastructure to conduct rapid, reproducible experiments and (b) demonstrate the resilience and rigor of this infrastructure in a formal learning context.

The winning team of the XPRIZE Digital Learning Challenge sponsored by IES will (a) build the best infrastructure to conduct rapid, reproducible experiments and (b) demonstrate the resilience and rigor of this infrastructure in a formal learning context.

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The long-term goal of the challenge is to modernize, accelerate, and improve the ways in which we identify effective learning tools and processes that improve learning outcomes.

The long-term goal of the challenge is to modernize, accelerate, and improve the ways in which we identify effective learning tools and processes that improve learning outcomes. CHALLENGE


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Superhuman decision-making and autonomous action: systems that identify, evaluate, select, and execute effective courses of action with superhuman speed and accuracy for real-world challenges.

Superhuman decision-making and autonomous action: systems that identify, evaluate, select, and execute effective courses of action with superhuman speed and accuracy for real-world challenges.

MAG: Leveraging AI for Scholarly Knowledge Acquisition and Reasoning


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