Framework Science Definition


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PISA 2015 Assessment and Analytical Framework Science, Reading, Mathematic, Financial Literacy and Collaborative Problem Solving


PISA 2015 Assessment and Analytical Framework Science, Reading, Mathematic, Financial Literacy and Collaborative Problem Solving

Author: OECD

language: en

Publisher: OECD Publishing

Release Date: 2017-08-31


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What is important for citizens to know and be able to do? The OECD Programme for International Student Assessment (PISA) seeks to answer that question through the most comprehensive and rigorous international assessment of student knowledge and skills.

PISA 2015 Assessment and Analytical Framework Science, Reading, Mathematic and Financial Literacy


PISA 2015 Assessment and Analytical Framework Science, Reading, Mathematic and Financial Literacy

Author: OECD

language: en

Publisher: OECD Publishing

Release Date: 2016-04-19


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“What is important for citizens to know and be able to do?” The OECD Programme for International Student Assessment (PISA) seeks to answer that question through the most comprehensive and rigorous international assessment of student knowledge and skills.

The Data Science Framework


The Data Science Framework

Author: Juan J. Cuadrado-Gallego

language: en

Publisher: Springer Nature

Release Date: 2020-10-01


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This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.