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M-learning
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691	CONNECTICUT 4-H SHEEP PROJECT CLINIC Saturday, May 30, 2015 9:30 A.M. - 3:30 P.M. University of Connecticut, Route 195, Storrs, CT registration at Ratcliffe Hicks Arena Add to Reading List Source URL: www.ctsheep.org Language: English - Date: 2015-05-16 06:14:09 University of Connecticut Sheep Learning Education Zoology 4-H
692	Curriculum Vitae John M. Zelle, Ph.D. Address Department of Math, Computer Science, and Physics Wartburg College Add to Reading List Source URL: mcsp.wartburg.edu Language: English - Date: 2006-01-15 15:38:37 Department of Computer Science Education Cognition Logic programming Machine learning Computer science
693	By working together, principals, librarians, and teachers can transform learning environments to ensure that students achieve digital literacy. By Ann M. Martin and Kathleen R. Roberts 18 Add to Reading List Source URL: www.ala.org Language: English - Date: 2015-03-11 11:23:02 School library Librarian E-learning Blended learning Teacher-librarian Literacy Learning Information literacy Education Knowledge Library science
694	14 Research on Classroom Summative Assessment Connie M. Moss A Add to Reading List Source URL: www.sagepub.com Language: English - Date: 2012-09-25 23:15:40 Educational psychology Formative assessment Summative assessment Alternative assessment Standardized test E-learning Assessment for Learning Educational assessment Education Evaluation Evaluation methods
695	Lughofer, E., Smith, J., Tahir, M., Caleb-Solly, P., Eitzinger, C., Sannen, D. and van Brussels, HOn human-machine interaction during online image classifier training. In: Proceedings of the International Confer Add to Reading List Source URL: eprints.uwe.ac.uk Language: English - Date: 2013-08-03 13:23:20 Statistical classification Learning classifier system Classifier Supervised learning Boosting methods for object categorization Random subspace method Machine learning Statistics Artificial intelligence
696	You Have the Power! An ACTION GUIDE for Energy Efficiency Written by Cathryn Berger Kaye, M.A. Add to Reading List Source URL: earthecho.org Language: English - Date: 2013-10-08 17:03:25 Energy conservation State functions Physics Energy audit Service-learning National Energy Education Development Project Environmental groups and resources serving K–12 schools Education Energy economics Energy
697	Welcome to 8th Grade Social Studies! I’m looking forward to getting to know you as we learn about U.S. history. We will focus on the beginnings of the American nation to the late 1800’s. In addition to using our t Add to Reading List Source URL: www.mrpepper.com Language: English - Date: 2015-03-11 15:34:05 Homework Standards-based education Period The Art of Getting By Educational technology Philosophy of education Education Learning Education reform
698	RAVENOR PRIMARY SCHOOL How will we support your child’s emotional and social development? We recognise that some children have extra emotional and social needs that need to be developed and nurtured. These needs can m Add to Reading List Source URL: www.ravenor.ealing.sch.uk Language: English - Date: 2014-12-01 05:50:47 Positive psychology Psychological resilience Personal Social and Health Education Mind Play Ethology Behavior Learning Motivation
699	Universities 2030: Learning from the Past to Anticipate the Future Adam R. Nelson Professor, Educational Policy Studies and History University of Wisconsin-Madison Nicholas M. Strohl Add to Reading List Source URL: globalhighered.files.wordpress.com Language: English - Date: 2014-04-27 23:19:57 Knowledge Project 211 Project 985 Higher education in China Universities and higher education in Brazil International education University Public university Education Academia Higher education
700	SIMILAR FIT STATISTICS AND SIMILAR PARTITIONS: HOW SELECTING A SUBOPTIMAL SOLUTION IMPACTS THE ACCURACY OF A MIXTURE MODEL Emilie M. Shireman University of Missouri Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2015-05-22 23:10:32 Bayesian inference Bayesian information criterion Cluster analysis Machine learning BIC Conceptual model Mixture model Statistics Model selection Probability and statistics

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