How can technology be used to facilitate self-directed learning?

Jan 9, 2009 ... The key idea behind active learning is that a machine learning algorithm can achieve greater accuracy with fewer labeled training instances ... Nov 16, 2020 ... Active learning is an efficient approach for mit- igating data dependency when training neural machine translation (NMT) models. In this pa-. active learning rate is always superior to that of passive learning. ... pdf). 24. de Boor, C.: The error in polynomial tensor-product and chung-yao ... Active learning approaches will help students develop at every stage of Bloom's Taxonomy; it will enable learners to engage with the more complex cognitive ... ... Download PDF. Related research. People also read lists articles that other readers of this article have read. Recommended articles lists articles that we ... Download PDF. Article; Open access; Published: 18 March 2020. On-the-fly active learning of interpretable Bayesian force fields for ... Accelerating crystal ... Aug 12, 2020 ... However, the common underlying idea is that by actively choosing the data-points used for training, the learning algorithm can drastically ... ... pdf. Copyright Webster University (2006). For further information about the ... Many educators today agree that students learn more in an active learning ... Contexts for Active learning - Four models to forge links between schooling and society – Presented at the NATD conference, 2002. Model 1 – Drama used to ... Active learning, learning in games, misspecified models. JEL classification. D83, D90. 1. Introduction. In many economic settings, agents are uncertain about ...