Nick Green – författare

In writing The Settlement Patterns of Britain Nick Green was inspired by the short story genre. His book is a collection of eight non-fiction short stories or essays, where the characters are the places, some of which appear more than once, usually as bit-part players, occasionally as the main protagonist. Preceded by a prologue describing Britain’s prehistory as a European peninsula, each essay covers a fixed period in the history of the development of Britain’s settlement patterns, sometimes long, more often quite short, beginning around 2,500 BC and ending about one hundred years in the future.Nick Green chose those periods that are particularly instructive in revealing how settlement patterns come to exist in the form they do and how they might develop in the future. Settlement patterns are not just about where a place is, but about how that place relates to others. They wax and wane with circumstance, and around each settlement’s fixed core, the patterns of living and working shift constantly, driven by forces beyond the control of any individual town or city or village.From Bronze Age communities to computer simulations, from the mediaeval wool trade to the hyper-networked society, from Viking invasions to the post-industrial era, the essays cover a broad sweep of history. They appear in chronological order, but are not intended to provide a continuous, linear historical narrative – nor do they: each essay is freestanding so they can be read in whatever order the reader prefers.

In writing The Settlement Patterns of Britain Nick Green was inspired by the short story genre. His book is a collection of eight non-fiction short stories or essays, where the characters are the places, some of which appear more than once, usually as bit-part players, occasionally as the main protagonist. Preceded by a prologue describing Britain’s prehistory as a European peninsula, each essay covers a fixed period in the history of the development of Britain’s settlement patterns, sometimes long, more often quite short, beginning around 2,500 BC and ending about one hundred years in the future.Nick Green chose those periods that are particularly instructive in revealing how settlement patterns come to exist in the form they do and how they might develop in the future. Settlement patterns are not just about where a place is, but about how that place relates to others. They wax and wane with circumstance, and around each settlement’s fixed core, the patterns of living and working shift constantly, driven by forces beyond the control of any individual town or city or village.From Bronze Age communities to computer simulations, from the mediaeval wool trade to the hyper-networked society, from Viking invasions to the post-industrial era, the essays cover a broad sweep of history. They appear in chronological order, but are not intended to provide a continuous, linear historical narrative – nor do they: each essay is freestanding so they can be read in whatever order the reader prefers.

Intelligent Support for Computer Science Education presents the authors’ research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp.Key Features:Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education.Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level.Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies.Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions).Provides a time-series analysis of student behavior when interacting with the system.This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors’ work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.

Intelligent Support for Computer Science Education presents the authors’ research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp.Key Features:Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education.Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level.Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies.Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions).Provides a time-series analysis of student behavior when interacting with the system.This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors’ work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.