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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: Joetta Beaver
Publisher:
ISBN: 9780673618481
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: 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: Matt Renwick
Publisher: ASCD
ISBN: 1416624643
Category : Education
Languages : en
Pages : 176
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Book Description
Assessment is messy. Day-to-day, in-the-moment assessments not only reveal information that drives future instruction but also offer a comprehensive picture of students’ abilities and dispositions toward learning. As teachers, we might know what this looks and feels like, yet it can be hard to put into action—hence the messiness. Say hello to digital student portfolios—dynamic, digital collections of authentic information from different media, in many forms, and with multiple purposes. Using digital portfolios to capture student thinking and progress allows us to better see our students as readers, writers, and learners—and help students see themselves in the same way! Matt Renwick’s Digital Portfolios in the Classroom is a guide to help teachers sort through, capture, and make sense of the messiness associated with assessment. By shining a spotlight on three types of student portfolios—performance, process, and progress—and how they can be used to assess student work, Renwick helps educators navigate the maze of digital tools and implement the results to drive instruction.
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: Larry E. Suter
Publisher: SAGE
ISBN: 1526484617
Category : Education
Languages : en
Pages : 918
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Book Description
Educational practices have rapidly changed in the last few decades, especially in how exchanges of information and learning are delivered and processed. Yet, while the field of international comparative studies has grown, there has not been an extensive study on the relationship between educational practices, students, and how practitioners are prepared and trained. This handbook explores international educational practices and behaviours through new research and a review of existing research, with chapters spread across six parts: Part I: Introduction to Research Practices in Comparative Studies of Education Part II: Research Methods Part III: Policy Transfer Research through International Comparisons Part IV: Use of Student time in Formal and Informal Settings Part V: School Practices from Early Childhood through Secondary School Part VI: Conclusion - Lessons from Large Scale Studies
Author: OECD
Publisher: OECD Publishing
ISBN: 9264239553
Category :
Languages : en
Pages : 204
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Book Description
Are there computers in the classroom? Does it matter? Students, Computers and Learning: Making the Connection examines how students’ access to and use of information and communication technology (ICT) devices has evolved in recent years.
Author: Esther Sui-chu Ho
Publisher: World Scientific
ISBN: 9813146710
Category : Education
Languages : en
Pages : 424
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Book Description
The outstanding performance of East Asian societies in the Programme for International Student Assessment (PISA) is one of the most widely discussed topics in international assessments. PISA is a worldwide study of scholastic performance, conducted by the Organisation for Economic Co-operation and Development (OECD), of 15-year old pupils in mathematics, science and reading.This book provides readers with a comprehensive view on the excellent performance of students in Hong Kong and East Asian societies based on solid empirical data from the first five cycles of the PISA study from 2000 to 2012. Adopting a broad perspective, this book links the performance of students to themselves, their families and respective schools — the three major selves and social contexts that exert powerful influence on young people in Hong Kong. It is unique that the book does not only define student outcomes narrowly as cognitive performance on various tests in PISA, but also employs a number of affective indicators, such as students' self-regulated learning, their self-concept measures, and attitudes towards learning. The book argues that schooling is a complex enterprise, and the relationships between school outcomes and the larger families, schools, and societal contexts are even more complex. The book utilizes summary statistics and multivariate methods to investigate how various measures of student outcomes are influenced by these contextual factors.
