Journal of Family & Consumer Sciences Education, Vol. 24, No. 2, Fall/Winter, 2006 EFFECTIVE TEACHING METHODS FOR LARGE CLASSES Jason M. Carpenter University of South Carolina Colleges and universities in the United Sta

Source URL: www.natefacs.org

• Education
• Educational psychology
• Philosophy of education
• Educational practices
• Teaching
• Pedagogy
• Active learning
• Lecture
• Teaching method
• Jigsaw
• Educational technology
• Cooperative learning

Gateway Science and Math Course Redesign Program – ProposalDue: April 7, 2014 Important Dates April 7, 2014: Gateway Science and Math Course Redesign proposals due. Submit to Gary Smith

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• Educational psychology
• Curricula
• Philosophy of education
• Educational practices
• Curriculum
• Didactics
• Educational technology
• Formative assessment
• Active learning
• Course

2008 Annual Report Spark was founded in 2004 by Chris Balme and Melia Dicker. Balme and Dicker envisioned a program that would enable students to become active participants in the learning process, be able to pursue a

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• Computing
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RICE UNIVERSITY Active Learning and Adaptive Sampling for Non-Parametric Inference by Rui M. Castro

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A general agnostic active learning algorithm Sanjoy Dasgupta, Daniel Hsu, and Claire Monteleoni University of California, San Diego {dasgupta,djhsu,cmontel}@cs.ucsd.edu Abstract

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Active Sensing and Learning Rui Castro and Robert Nowak Mistakes are the portals of discovery — James Joyce 1

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INVITED SESSION SUMMARY Title of Session: E-learning and ICT for active learning Name, Title and Affiliation of Chair: Chair: Hideyuki Kanematsu, Professor, National Institute of Technology, Suzuka College Co-chair: Kazu

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An Analysis of Active Learning Strategies for Sequence Labeling Tasks Burr Settles∗† ∗ Dept. of Computer Sciences University of Wisconsin Madison, WI 53706, USA

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System-Wide Effectiveness of Active Learning in Collaborative Filtering Mehdi Elahi, Francesco Ricci, Valdemaras Repsys, Free University of Bozen-Bolzano Bozen-Bolzano, Italy , fricci@unibz.i

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Realizable Active Learning Notes Kevin Jamieson November 11, 2010 ˆ Definition 1. For a hypothesis class H and dataset {(xi , yi )}ni=1 where xi ∈ X and yi ∈ {−1, 1} we call h ˆ = arg min

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