This survey provides an overview of the German discussion on modelling and applications in schools. It considers the development from the beginning of the 20th century to the present, and discusses the term "mathematical model" as well as different representations of the modelling process as modelling cycles. Different trends in the histo...
This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.
Prof. Dr. Oliver Niggemann is Professor for Ar...
This work examines the main directions of research conducted on the history of mathematics education. It devotes substantial attention to research methodologies and the connections between this field and other scholarly fields. The results of a survey about academic literature on this subject are accompanied by a discussion of what has yet to be do...
It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm(DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and numbe...
This survey addresses the use of technology in upper secondary mathematics education from four points of view: theoretical analysis of epistemological and cognitive aspects of activity in new technology mediated learning environments, the changes brought by technology in the interactions between environment, students and teachers, the interrelation...
This topical survey provides an overview of the current state of the art in technology use in mathematics education, including both practice-oriented experiences and research-based evidence, as seen from an international perspective. Three core themes are discussed: Evidence of effectiveness; Digital assessment; and Communication and collaboration....
The goal of this book is to develop an approach to clinical health care ethics that is more accessible to, and usable by, health professionals than the now-dominant approaches that focus, for example, on the application of ethical principles. The book elaborates the view that health professionals have the emotional and intellectual resources to ...
This book examines the kinds of transitions that have been studied in mathematics education research. It defines transition as a process of change, and describes learning in an educational context as a transition process. The book focuses on research in the area of mathematics education, and starts out with a literature review, describing the epist...
This book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA's Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and...
This book shares revealing insights into the development of mathematics education research in Germany from 1976 (ICME 3 in Karlsruhe) to 2016 (ICME 13 in Hamburg). How did mathematics education research evolve in the course of these four decades? Which ideas and people were most influential, and how did German research interact with the internation...
This book illustrates a new type of formative intervention for in-service teacher training in entrepreneurship education. The book describes a Change Laboratory and shows how teachers and workshop assistants develop the idea of a multidisciplinary project entailing the design of a self-service and parking lot in a dismissed area close to the city c...
This book, inspired by the ICME 13 topic study group "Affect, beliefs and identity in mathematics education", presents the latest trends in research in the area. Following an introduction and a survey chapter providing a concise overview of the state-of-art in the field of mathematics-related affect, the book is divided into three main se...
This twenty-third ICMI Study addresses for the first time mathematics teaching and learning in the primary school (and pre-school) setting, while also taking international perspectives, socio-cultural diversity and institutional constraints into account. One of the main challenges of designing the first ICMI primary school study of this kind is the...
This topical survey focuses on research in tertiary mathematics education, a field that has experienced considerable growth over the last 10 years. Drawing on the most recent journal publications as well as the latest advances from recent high-quality conference proceedings, our review culls out the following five emergent areas of interest: mathem...
The Assessment in Legal Education book series offers perspectives on assessment in legal education across a range of Common Law jurisdictions. Each volume in the series provides:
Information on assessment practices and cultures within a jurisdiction.A sample of innovative assessment practices and designs in a jurisdiction.Insights into how assessm...
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world ...
This book explores the key dimensions of a future education system designed to enable individuals, schools, and communities to achieve the twin twenty-first century challenges of sustainability and human well-being. For much of the twentieth century, Western education systems prepared students to enter the workforce, contribute to society and succe...
This book offers pioneering insights and practical methods for promoting diversity and inclusion in higher education classrooms and curricula. It highlights the growing importance of international education programs in Asia and the value of understanding student diversity in a changing, evermore interconnected world. The book explores diversity acr...
This book is open access under a CC-BY license. This open access volume presents papers on vocational education, project-based learning and science didactic approaches, illustrating with sample cases, and with a special focus on Central Asian states. Thematically embedded in the area of Technical Vocational Education and Training (TVET), the book e...
This Open Access book combines expertise in information literacy with expertise in education and teaching to share tips and tricks for the development of good information literacy teaching and training in universities and libraries. It draws on research, knowledge and pedagogical practice from academia, to teach students how to sift through informa...
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature i...
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology...
Updated and revised with more examples and expanded discussions, this second edition continues the aim of providing teachers with a solid understanding of the use and function of grammatical structures in American English. The book avoids jargon and presents essential grammatical structures clearly and concisely. Dr. DeCapua approaches grammar from...
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual...
In this book, we describe the components of a launch plan at Google and offer practical methods you might apply to reduce production launch risks for your own products. We include lessons we have learned about what works well for launching Google products, including large products, new features for existing products, and even small products. The le...
This book discusses how to train Site Reliability Engineers, or SREs. Before we go any further, we'd like to clarify the term "SRE."
"SRE" means a variety of things:
- Site Reliability Engineer or a Site Reliability Engineering team, based on the context (singular, SRE, or plural, SREs)
- Site Reliability Engineering concep...
This book on artificial intelligence in education (AIEd) with two aims in mind. The first was to explain to a non-specialist, interested reader what AIEd is: its goals, how it is built, and how it works. After all, only by securing a certain degree of understanding can we move beyond the science-fiction imagery of AI, and the associated fears. The ...
Ccurrently many of Julia's users are hard-core developers that contribute to the language's standard libraries, and to the extensive package eco-system that surrounds it. Therefore, much of the Julia material available at present is aimed at other developers rather than end users. This is where our book comes in, as it has been written wi...
Multilingualism is integral to the human condition. Hinging on the concept of Creative Multilingualism - the idea that language diversity and creativity are mutually enriching - this timely and thought-provoking volume shows how the concept provides a matrix for experimentation with ideas, approaches and methods.
The book presents four years of ...
Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields? And what role can librarians play in helping students attain these competencies? In addressing these questions...
Software has become a key component of contemporary life and algorithmic techniques that rank, classify, or recommend anything that fits into digital form are everywhere. This book approaches the field of information ordering conceptually as well as historically. Building on the philosophy of Gilbert Simondon and the cultural techniques tradition, ...
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such a...