This wrap-up volume of the PISA 2000 project presents key and fascinating findings on reading performance, characteristics of successful students, differences between the interests and study habits of boys and girls and the effect of school climate and autonomy on student performance.
Knowledge and Skills for Life presents evidence on student performance in reading, mathematical and scientific literacy, reveals factors that influence the development of these skills at home and at school, and examines what the implications are for policy development.
This book presents a sample of PISA 2000 tasks, and explains how these tasks were scored and how they relate to the conceptual framework underlying PISA.
The PISA 2000 Assessment introduces the PISA approach to assessing reading, mathematical and scientific literacy and describes the PISA 2000 assessment in terms of the content that students need to acquire, the processes that need to be performed and the contexts in which skills are applied.
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.
This title provides comprehensive analyses of current knowledge about the unwarranted disparities in dealings with the criminal justice system faced by some disadvantaged minority groups in all developed countries
As with television and computers before it, today’s mobile technology challenges educators to respond and ensure their work is relevant to students. What’s changed is that this portable, cross-contextual way of engaging with the world is driving a more proactive approach to learning on the part of young people. The first full-length authored treatment of the relationship between the centrality of technological development in daily life and its potential as a means of education, Mobile Learning charts the rapid emergence of new forms of mass communication and their potential for gathering, shaping, and analyzing information, studying their transformative capability and learning potential in the contexts of school and socio-cultural change. The focus is on mobile/cell phones, PDAs, and to a lesser extent gaming devices and music players, not as "the next new thing" but meaningfully integrated into education, without objectifying the devices or technology itself. And the book fully grounds readers by offering theoretical and conceptual models, an analytical framework for understanding the issues, recommendations for specialized resources, and practical examples of mobile learning in formal as well as informal educational settings, particularly with at-risk students. Among the topics covered: • Core issues in mobile learning • Mobile devices as educational resources • Socioeconomic approaches to mobile learning • Creating situations that promote mobile learning • Ubiquitous mobility and its implications for pedagogy • Bridging the digital divide at the policy level Mobile Learning is a groundbreaking volume, sure to stimulate both discussion and innovation among educational professionals interested in technology in the context of teaching and learning.
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.