Educational Trends


Download Educational Trends PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Educational Trends book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Trends Shaping Education 2022


Trends Shaping Education 2022

Author: OECD

language: en

Publisher: OECD Publishing

Release Date: 2022-01-18


DOWNLOAD





Did you ever wonder what the impact of climate change will be on our educational institutions in the next decade? What does it mean for schools that our societies are becoming more individualistic and diverse? Trends Shaping Education is a triennial report examining major economic, political, social and technological trends affecting education.

Educational Trends Exposed


Educational Trends Exposed

Author: David Armstrong

language: en

Publisher: Routledge

Release Date: 2021-12-31


DOWNLOAD





Educational Trends explains and critically reviews, eighteen of the most prevalent trends sweeping schools, colleges and universities over the last decade and beyond. Amid the buzz from news outlets, websites and social media peddling 'this works' approaches and 'quick fix' solutions, this book provides educators with a practical tool to help answer important questions such as: what does this trend actually involve? Is it worth the investment of time and resources? Does it work - what does research say? Do the claimed benefits to students outweigh any downsides? In this timely book, David Armstrong casts a critical, expert eye over these trends, referencing the latest research and offering a framework for considering educational trends, empowering readers as informed critical consumers. He argues that trends disclose deeper truths about the state and direction of contemporary public education in Australia, England and the US and provides original, thought-provoking analysis. This book demonstrates that a greater understanding of trends can teach some important lessons, including how parents, teachers and educational decisions makers can agitate and collaborate for a modernized and more socially equitable education system. Educational Trends is essential reading for pre- and in-service teachers, and all educational decision-makers who are faced with a choice of which trend, if any, to follow.

Educational Data Mining


Educational Data Mining

Author: Alejandro Peña-Ayala

language: en

Publisher: Springer

Release Date: 2013-11-08


DOWNLOAD





This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows: · Profile: The first part embraces three chapters oriented to: 1) describe the nature of educational data mining (EDM); 2) describe how to pre-process raw data to facilitate data mining (DM); 3) explain how EDM supports government policies to enhance education. · Student modeling: The second part contains five chapters concerned with: 4) explore the factors having an impact on the student's academic success; 5) detect student's personality and behaviors in an educational game; 6) predict students performance to adjust content and strategies; 7) identify students who will most benefit from tutor support; 8) hypothesize the student answer correctness based on eye metrics and mouse click. · Assessment: The third part has four chapters related to: 9) analyze the coherence of student research proposals; 10) automatically generate tests based on competences; 11) recognize students activities and visualize these activities for being presented to teachers; 12) find the most dependent test items in students response data. · Trends: The fourth part encompasses four chapters about how to: 13) mine text for assessing students productions and supporting teachers; 14) scan student comments by statistical and text mining techniques; 15) sketch a social network analysis (SNA) to discover student behavior profiles and depict models about their collaboration; 16) evaluate the structure of interactions between the students in social networks. This volume will be a source of interest to researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and find targets for future work in the field of educational data mining.