Analysing Users` Interactions with Khan Academy Repositories, Yassine Sahar, Kadry Seifedine, Sicilia Miguel-Бngel

Автор: Babo Rosalina, Dey Nilanjan, Ashour Amira S.
Название: Workgroups Eassessment: Planning, Implementing and Analysing Frameworks
ISBN: 9811599076 ISBN-13(EAN): 9789811599071
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book was developed during a particular pandemic situation in the whole world which confined people to their homes. This book provides a better understanding about the importance of teams` assessment and collaborative work, as well as the use of collaboration tools and online assessment techniques supported by technology.

Автор: Ashraf Jamshaid, Hussain Omar K., Hussain Farookh Khadeer
Название: Measuring and Analysing the Use of Ontologies: A Semantic Framework for Measuring Ontology Usage
ISBN: 3030092968 ISBN-13(EAN): 9783030092962
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique book succinctly summarizes the need to measure how ontologies (one of the building blocks of the Semantic Web) are currently being utilized, providing insights for various stakeholders.

Автор: Babo Rosalina, Dey Nilanjan, Ashour Amira S.
Название: Workgroups eAssessment: Planning, Implementing and Analysing Frameworks
ISBN: 9811599106 ISBN-13(EAN): 9789811599101
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book was developed during a particular pandemic situation in the whole world which confined people to their homes. This book provides a better understanding about the importance of teams` assessment and collaborative work, as well as the use of collaboration tools and online assessment techniques supported by technology.

Автор: Shen Liu
Название: Computational and Statistical Methods for Analysing Big Data with
ISBN: 0128037326 ISBN-13(EAN): 9780128037324
Издательство: Elsevier Science
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Цена: 77470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration.

"Computational and Statistical Methods for Analysing Big Data with Applications" starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data.

Advanced computational and statistical methodologies for analysing big data are developed.

Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable.

Case studies are discussed to demonstrate the implementation of the developed methods.

Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation.

Computing code/programs are provided where appropriate.

Автор: Ashraf
Название: Measuring and Analysing the Use of Ontologies
ISBN: 3319756796 ISBN-13(EAN): 9783319756790
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique book succinctly summarizes the need to measure how ontologies (one of the building blocks of the Semantic Web) are currently being utilized, providing insights for various stakeholders.

Автор: Rita Tavares; Ant?nio Moreira
Название: Implications of Open Access Repositories Quality Criteria and Features for Teachers` TPACK Development
ISBN: 3319579150 ISBN-13(EAN): 9783319579153
Издательство: Springer
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Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This brief will explore how open access repositories are being developed and maintained, in order to provide, disseminate and promote the development of digital educational resources. The main objective is to analyse open access repositories quality criteria and features, and how these can improve teachers' Technological Pedagogical Content Knowledge (TPACK) development. It is organized in six major sections. Section one addresses an historical overview of open access repositories. In section two the authors present the objectives and the methodology used in the present study. Sections three, four and five analyse namely (i) the prevalence of European Science Education open access repositories and teachers' perceptions of those same repositories, (ii) the most common European Science Education open access repositories features and their implications, and (iii) the impact of open access repositories usage on teachers' TPACK development. The last section focuses on the analyses of a selected open access repository House of Sciences (originally Casa Das Ciencias)], addressing its characteristics and features, the impact of social media features in digital educational resources (re)use, and the relationship between repository quality criteria and teachers' TPACK development.

Автор: Angermann Heiko, Ramzan Naeem
Название: Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories
ISBN: 331989157X ISBN-13(EAN): 9783319891576
Издательство: Springer
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Цена: 32600.00 T
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Описание: This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches.

Автор: Rees Philip, MacKay Louise, Martin David
Название: E-Learning for Geographers: Online Materials, Resources, and Repositories
ISBN: 1599049805 ISBN-13(EAN): 9781599049809
Издательство: Mare Nostrum (Eurospan)
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Цена: 163020.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers learning materials and guidance to geography teachers and others interested in electronic/online learning.