These results together provide strong evidence of the tremendous impact that can be achieved with a personalized, active learning AI-powered system based on problem-solving exercises and personalized feedback. If such a personalized and active learning experience can be made accessible to millions of learners around the world, then this advance would represent a huge leap forward towards the democratization of education in accordance with the United Nations
Learner outcomes should include both behavior and learning gains. The best systems will enable a flexible and robust range of experiments, collect rich and insightful learning data, and require the least amount of effort from the researcher. Learner outcomes should include both behavior and learning gains. The best systems will enable a flexible and robust range of experiments, collect rich and insightful learning data, and require the least amount of effort from the researcher. advertisement
We define digital learning platforms (DLPs) as any software that either organizes learning in both formal and informal settings or delivers content and pedagogical tools. DLPs can range from, but are not limited to, Learning Management Systems, online learning tools, curriculum products, school communication tools, data systems, educational operations software, and digital educational content, among others. We define digital learning platforms (DLPs) as any software that either organizes learning in both formal and informal settings or delivers content and pedagogical tools. DLPs can range from, but are not limited to, Learning Management Systems, online learning tools, curriculum products, school communication tools, data systems, educational operations software, and digital educational content, among others. advertisement
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. advertisement
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. advertisement
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. advertisement
The ability of competitors to include a diverse set of learners will be considered throughout the judging process. The ability of competitors to include a diverse set of learners will be considered throughout the judging process. advertisement
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 advertisement