Technology enhanced learning takes place in many different forms and contexts, including formal and informal settings, individual and collaborative learning, learning in the classroom, at home, at work, and outdoor in real life situations, as well as desktop-based learning and learning by using mobile devices. Environments range from desktop-based learning systems such as learning management systems, which present learners with learning material and activities, to mobile, pervasive, and ubiquitous learning environments which are used in real life settings and enable learners to learn from real learning objects. In each of these forms and contexts, adaptive and intelligent support has potential to contribute in making such learning environments more personalized, user-friendly, and effective in supporting learners in learning. Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners. This book provides academics as well as professional practitioners innovative research work for enhancing learning environments with adaptively and intelligent support in different contexts and settings, ranging from provision of courses and assessment in formal desktop-based learning systems to learning environments that support collaborative, informal, ubiquitous learning.

Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five "e;Vs"e; of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence.

Family law is a dynamic subject that is constantly changing and provides a challenge to everyone involved with it. Family Law and Practice offers a clear picture of the practical considerations that arise when advising in a divorce case. It sets out the divorce procedure, explains the financial implications of divorce and includes advice on ensuring that clients receive the money that they are owed. The book also outlines the principles governing the care and protection of children, the remedies available for victims of domestic abuse and the public funding regime in family cases. This new edition has been fully updated to include the online process for financial remedies orders, changes to capital gains tax on separation and the latest position in relation to the implementation of the Domestic Abuse Act 2021, including the new s 91A of the Children Act 1989 (and the Practice Guidance: Non-molestation Injunctions, July 2023). The book is fully up to date on case law including CMX v EJX (French Marriage Contract) (2022) and James v Seymour(2023) on supplementary child maintenance, Collardeau-Fuchs v Fuchs (2022) on Household Expenditure Child Support Award, De Renee v Galbraith-Marten (2023) on set aside, WC v HC (2022) on pre-marital agreements, DP v EP (2023) on economic abuse and Re S (A Child); Re W (A Child: s 20 Accommodation) (2023) on long term use of s 20 accommodation.

Technology enhanced learning takes place in many different forms and contexts, including formal and informal settings, individual and collaborative learning, learning in the classroom, at home, at work, and outdoor in real life situations, as well as desktop-based learning and learning by using mobile devices. Environments range from desktop-based learning systems such as learning management systems, which present learners with learning material and activities, to mobile, pervasive, and ubiquitous learning environments which are used in real life settings and enable learners to learn from real learning objects. In each of these forms and contexts, adaptive and intelligent support has potential to contribute in making such learning environments more personalized, user-friendly, and effective in supporting learners in learning. Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners. This book provides academics as well as professional practitioners innovative research work for enhancing learning environments with adaptively and intelligent support in different contexts and settings, ranging from provision of courses and assessment in formal desktop-based learning systems to learning environments that support collaborative, informal, ubiquitous learning.

Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five "e;Vs"e; of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence.

Family law is a dynamic subject that is constantly changing and provides a challenge to everyone involved with it. Family Law and Practice offers a clear picture of the practical considerations that arise when advising in a divorce case. It sets out the divorce procedure, explains the financial implications of divorce and includes advice on ensuring that clients receive the money that they are owed. The book also outlines the principles governing the care and protection of children, the remedies available for victims of domestic abuse and the public funding regime in family cases. This new edition has been fully updated to include the online process for financial remedies orders, changes to capital gains tax on separation and the latest position in relation to the implementation of the Domestic Abuse Act 2021, including the new s 91A of the Children Act 1989 (and the Practice Guidance: Non-molestation Injunctions, July 2023). The book is fully up to date on case law including CMX v EJX (French Marriage Contract) (2022) and James v Seymour(2023) on supplementary child maintenance, Collardeau-Fuchs v Fuchs (2022) on Household Expenditure Child Support Award, De Renee v Galbraith-Marten (2023) on set aside, WC v HC (2022) on pre-marital agreements, DP v EP (2023) on economic abuse and Re S (A Child); Re W (A Child: s 20 Accommodation) (2023) on long term use of s 20 accommodation.