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Jun 10, 2014 ... The results raise questions about the continued use of traditional lecturing as a control in research studies, and support active learning as ... While there is consensus in education that students should take a more active role in feedback processes, this is nearly always framed in terms of their making ... Jan 9, 2009 ... The key idea behind active learning is that a machine learning algorithm can achieve greater accuracy with fewer labeled training instances ... Abstract. While the identification of nonlinear dynamical systems is a fundamental building block of model- based reinforcement learning and feedback ... Mar 15, 2018 ... A transition to active learning closed the gap in learning gains between non-URM and URM students and led to an increase in science self-efficacy for all ... Jan 26, 2010 ... The key idea behind active learning is that a machine learning algorithm can achieve greater accuracy with fewer training labels if it is ... Active learning, learning in games, misspecified models. JEL classification. D83, D90. 1. Introduction. In many economic settings, agents are uncertain about ... Introduction to Team-Based Learning [links to PDF] from the University of British Columbia. For information on how to implement TBL, use this link to the ... While the common approach for col- lecting data in active learning is to select samples close to the classification boundary, better per- formance can be ... What Is 'Active Learning' and Why Is It Important? Jess Gifkins · Download PDF. Oct 8 2015 •. 35,938. views. Image by Alvin Trusty.