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Author: Jie HU
Publisher: Taylor & Francis
ISBN: 1000819981
Category : Education
Languages : en
Pages : 245
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Book Description
This book provides a systematic study of the Programme for International Student Assessment (PISA) based on big data analysis, aiming to examine the contextual factors relevant to students’ digital reading performance. The author first introduces the research landscape of educational data mining (EDM) and reviews the PISA framework since its launch and how it has become an important metric to assess the knowledge and skills of students from across the globe. With a focus on methodology and its applications, the book explores extant scholarship on the dynamic model of educational effectiveness, multi-level factors of digital reading performance, and the application of EDM approaches. The core chapter on the methodology examines machine learning algorithms, hierarchical linear modeling, mediation analysis, and data extraction and processing for the PISA dataset. The findings give insights into the influencing factors of students’ digital reading performance, allowing for further investigations on improving students’ digital reading literacy and more attention to the advancement of education effectiveness. The book will appeal to scholars, professionals, and policymakers interested in reading education, educational data mining, educational technology, and PISA, as well as students learning how to utilize machine learning algorithms in examining the mass global database.
Author: Jie HU
Publisher: Taylor & Francis
ISBN: 1000819981
Category : Education
Languages : en
Pages : 245
Get Book Here
Book Description
This book provides a systematic study of the Programme for International Student Assessment (PISA) based on big data analysis, aiming to examine the contextual factors relevant to students’ digital reading performance. The author first introduces the research landscape of educational data mining (EDM) and reviews the PISA framework since its launch and how it has become an important metric to assess the knowledge and skills of students from across the globe. With a focus on methodology and its applications, the book explores extant scholarship on the dynamic model of educational effectiveness, multi-level factors of digital reading performance, and the application of EDM approaches. The core chapter on the methodology examines machine learning algorithms, hierarchical linear modeling, mediation analysis, and data extraction and processing for the PISA dataset. The findings give insights into the influencing factors of students’ digital reading performance, allowing for further investigations on improving students’ digital reading literacy and more attention to the advancement of education effectiveness. The book will appeal to scholars, professionals, and policymakers interested in reading education, educational data mining, educational technology, and PISA, as well as students learning how to utilize machine learning algorithms in examining the mass global database.
Author: Jie HU
Publisher: Taylor & Francis
ISBN: 1000820009
Category : Education
Languages : en
Pages : 172
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Book Description
This book provides a systematic study of the Programme for International Student Assessment (PISA) based on big data analysis, aiming to examine the contextual factors relevant to students’ digital reading performance. The author first introduces the research landscape of educational data mining (EDM) and reviews the PISA framework since its launch and how it has become an important metric to assess the knowledge and skills of students from across the globe. With a focus on methodology and its applications, the book explores extant scholarship on the dynamic model of educational effectiveness, multi-level factors of digital reading performance, and the application of EDM approaches. The core chapter on the methodology examines machine learning algorithms, hierarchical linear modeling, mediation analysis, and data extraction and processing for the PISA dataset. The findings give insights into the influencing factors of students’ digital reading performance, allowing for further investigations on improving students’ digital reading literacy and more attention to the advancement of education effectiveness. The book will appeal to scholars, professionals, and policymakers interested in reading education, educational data mining, educational technology, and PISA, as well as students learning how to utilize machine learning algorithms in examining the mass global database.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264112995
Category :
Languages : en
Pages : 398
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Book Description
This sixth volume of PISA 2009 results explores students’ use of information technologies to learn.
Author: IRA/NCTE Joint Task Force on Assessment
Publisher: International Reading Assoc.
ISBN: 0872077764
Category : Education
Languages : en
Pages : 60
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Book Description
With this updated document, IRA and NCTE reaffirm their position that the primary purpose of assessment must be to improve teaching and learning for all students. Eleven core standards are presented and explained, and a helpful glossary makes this document suitable not only for educators but for parents, policymakers, school board members, and other stakeholders. Case studies of large-scale national tests and smaller scale classroom assessments (particularly in the context of RTI, or Response to Intervention) are used to highlight how assessments in use today do or do not meet the standards.
Author: Joetta Beaver
Publisher:
ISBN: 9780673618467
Category : Developmental reading
Languages : en
Pages :
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Book Description
Gives middle school teachers a range of tools to help monitor literacy behavior continuously as they teach, as well as conduct periodic assessments for accountability. Intended to guide teachers' ongoing observations of student's progress within a literature-based reading program.
Author: Linda Diamond
Publisher: Arena Press a Division of Academic Therapy Publications
ISBN: 9781634022439
Category : Educational tests and measurements
Languages : en
Pages : 0
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Book Description
A collection of formal and informal English and Spanish reading assessments for students in grades K-12. Includes assessment instructions, assessments and teacher scoring forms.
Author: Mirit Barzillai
Publisher: John Benjamins Publishing Company
ISBN: 902726371X
Category : Language Arts & Disciplines
Languages : en
Pages : 254
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Book Description
With digital screens becoming increasingly ubiquitous in the lives of children, from their homes to their classrooms, understanding the influence of these technologies on the ways children read takes on great importance. The aim of this edited volume is to examine how advances in technology are shaping children’s reading skills and development. The chapters in this volume explore the influence of various aspects of digital texts, the child’s cognitive and motivational skills, and the child’s environment on reading development in digital contexts. Each chapter draws upon the expertise of scientists and researchers across countries and disciplines to review what is currently known about the influence of technology on reading, how it is studied, and to offer new insights and research directions based on recent work.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264670971
Category :
Languages : en
Pages : 216
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Book Description
Literacy in the 21st century is about constructing and validating knowledge. Digital technologies have enabled the spread of all kinds of information, displacing traditional formats of usually more carefully curated information such as encyclopaedias and newspapers.
Author:
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 380
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Book Description
Author: OECD
Publisher: OECD Publishing
ISBN: 9264541888
Category :
Languages : en
Pages : 354
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Book Description
This is one of six volumes that present the results of the PISA 2018 survey, the seventh round of the triennial assessment. Volume I, What Students Know and Can Do, provides a detailed examination of student performance in reading, mathematics and science, and describes how performance has changed since previous PISA assessments.
