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This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.
This Handbook describes the extent and shape of computing education research today. Over fifty leading researchers from academia and industry (including Google and Microsoft) have contributed chapters that together define and expand the evidence base. The foundational chapters set the field in context, articulate expertise from key disciplines, and form a practical guide for new researchers. They address what can be learned empirically, methodologically and theoretically from each area. The topic chapters explore issues that are of current interest, why they matter, and what is already known. They include discussion of motivational context, implications for practice, and open questions which might suggest future research. The authors provide an authoritative introduction to the field which is essential reading for policy makers, as well as both new and established researchers.
This book provides an overview of how to approach computer science education research from a pragmatic perspective. It represents the diversity of traditions and approaches inherent in this interdisciplinary area, while also providing a structure within which to make sense of that diversity. It provides multiple 'entry points'- to literature, to me
The first comprehensive, research-based textbook on Internet-infused education, Educational Psychology and the Internet offers students an accessible guide to important issues in the field. Michael Glassman begins with an overview of the history that traces the evolution of the Internet and its significance for education. He outlines the current state of research, clearly defining terms that students will need to discuss larger concepts, such as hypertext and cyberspace. The second part of the book explores the practical applications of this research, which range from the individual-oriented to the generalized, including massive open online courses (MOOCs), open educational resources, and augmented reality. Key issues that affect teachers and students today, such as Net Neutrality and Creative Commons and Open Source licenses, are explained in straightforward terms, and often-overlooked differences - for example, between course management systems and learning management systems, and between blogs, social networking sites, and short messaging systems - are highlighted.
THE TEACHING & LEARNING MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE TEACHING & LEARNING MCQ TO EXPAND YOUR TEACHING & LEARNING KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY.
The AI conference series is the premier event sponsored by the Canadian - ciety for the Computational Studies of Intelligence / Soci ́et ́e canadienne pour l’ ́etude d’intelligence par ordinateur. Attendees enjoy our typically Canadian - mosphere –hospitable and stimulating. The Canadian AI conference showcases the excellent research work done by Canadians, their international colleagues, and others choosing to join us each spring. International participation is always high; this year almost 40% of the submitted papers were from non-Canadian - searchers. We accepted 24 papers and 8 poster papers from 52 full-length papers submitted. We also accepted eight of ten abstracts submitted ...
This book constitutes the refereed proceedings of the 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, held in Halifax, Canada in June 2003. The 30 revised full papers and 24 revised short papers presented were carefully reviewed and selected from 106 submissions. The papers are organized in topical sections on knowledge representation, search, constraint satisfaction, machine learning and data mining, AI and Web applications, reasoning under uncertainty, agents and multi-agent systems, AI and bioinformatics, and AI and e-commerce.
The third mystery in the bestselling Murder Most Unladylike series; just like the iconic Agatha Christie, Hazel and Daisy have boarded the Orient Express! 'A delight . . . Hazel and Daisy are aboard the Orient Express: cue spies, priceless jewels, a murder and seriously upgraded bun breaks' The Bookseller 'Addictive . . . A rumbustious reworking of Agatha Christie's Orient Express caper' New Statesman ----- Daisy Wells and Hazel Wong are taking a holiday on the world-famous Orient Express - and it's clear that each of their fellow first-class passengers has something to hide. Even more intriguing: there is rumour of a spy in their midst. Then, during dinner, there is a scream from inside one of the cabins. When the door is broken down, a passenger is found murdered, her stunning ruby necklace gone. But the killer has vanished - as if into thin air. Daisy and Hazel are faced with their first ever locked-room mystery - and with competition from several other sleuths, who are just as determined to crack the case.
"From iconic NBA All-Star Carmelo Anthony comes a raw and inspirational memoir about growing up in the housing projects of Red Hook and Baltimore-a brutal world Where Tomorrows Aren't Promised"--
This book constitutes the refereed proceedings of the 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in May 2004. The 29 revised full papers and 22 revised short papers were carefully reviewed and selected from 105 submissions. These papers are presented together with the extended abstracts of 14 contributions to the graduate students' track. The full papers are organized in topical sections on agents, natural language processing, learning, constraint satisfaction and search, knowledge representation and reasoning, uncertainty, and neural networks.