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Additional written evidence is contained in Volume 3, available on the Committee website at www.parliament.uk/educom
The 2012 GCSE English results prompted significant controversy, which ultimately resulted in an application for judicial review. This report sets out the background to these events and identifies lessons to be learned. The problems with GCSE English can be traced back to the 2007-09 development phase of the qualification- in particular the turbulence which resulted from the shift away from a mostly linear to a modular system, combined with a high proportion of controlled assessment and generous marking tolerances. Exam board experts raised concerns at the time, but these were not acted upon by the regulator (the then-interim Ofqual). Further difficulties arose because of pressures from the s...
Russia possesses one of the richest and most admired literatures of Europe, reaching back to the eleventh century. A History of Russian Literature provides a comprehensive account of Russian writing from its earliest origins in the monastic works of Kiev up to the present day, still rife with the creative experiments of post-Soviet literary life. The volume proceeds chronologically in five parts, extending from Kievan Rus' in the 11th century to the present day.The coverage strikes a balance between extensive overview and in-depth thematic focus. Parts are organized thematically in chapters, which a number of keywords that are important literary concepts that can serve as connecting motifs a...
In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless. Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.
The growing ideological gulf between Democrats and Republicans is one of the biggest issues in American politics today. Our legislatures, composed of members from two sharply disagreeing parties, are struggling to function as the founders intended them to. If we want to reduce the ideological gulf in our legislatures, we must first understand what has caused it to widen so much over the past forty years. Andrew B. Hall argues that we have missed one of the most important reasons for this ideological gulf: the increasing reluctance of moderate citizens to run for office. While political scientists, journalists, and pundits have largely focused on voters, worried that they may be too partisan,...
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrat...
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