الصفحة 15
الصفحة 15
Informatics Education - The Bridge between Using and Understanding Computers ; International Conference on Informatics in Secondary Schools - Evolution and Perspectives, ISSEP 2006, Vilnius, Lithuania, November 7-11, 2006, Proceedings
Although the school system is subject to specific national regulations, didactical issues warrant discussion on an international level. This applies specifically to informatics didactics. In contrast to most other scientific disciplines, informatics undergoes substantial technical and scientific changes and shifts of paradigms even at the basic level taught in secondary school. Moreover, informatics education is under more stringent observation from parents, potential employers, and policy makers than other disciplines. It is considered to be a modern discipline. Hence, being well-educated in informatics seemingly ensures good job perspectives. Further, policy makers pay attention to informatics education, hoping that a young population well-educated in this modern technology will contribute to the future wealth of the nation.
Informatics education - supporting computational thinking ; 3rd International Conference on informatics in secondary schools : Evolution and perspectives, ISSEP 2008 Torun Poland, July 1-4, 2008 Proceedings
Informatics Education – Supporting Computational Thinking contains papers presented at the Third International Conference on Informatics in Secondary Schools – Evolution and Perspective, ISSEP 2008, held in July 2008 in Torun, Poland. As with the proceedings of the two previous ISSEP conferences (2005 in Klag- furt, Austria, and 2006 in Vilnius, Lithuania), the papers presented in this volume address issues of informatics education transcending national boundaries and, the- fore, transcending differences in the various national legislation and organization of the educational system. Observing these issues, one might notice a trend. The p- ceedings of the First ISSEP were termed From Computer Literacy to Informatics F- damentals [1]. There, broad room was given to general education in ICT.
Infection control and management of hazardous materials for the dental team
Comprehensive coverage looks at infection control and prevention from the perspective of all dental team members. Easy-to-follow, step-by-step procedures are provided for skills that dental team members must master, each presented with a goal, materials, chronological steps, and rationales for the performance of each step. Review questions ensure your comprehension of the material and provide practice for classroom and board examinations. Key terms begin each chapter and are highlighted within text discussions and defined in a back-of-book glossary. Chapter learning objectives help you set goals for what you will accomplish and serve as checkpoints for comprehension and study tools in preparation for examinations.
Inductive logic programming ; 18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12, 2008 Proceedings
This book constitutes the refereed proceedings of the 18th International Conference on Inductive Logic Programming, ILP 2008, held in Prague, Czech Republic, in September 2008.The 20 revised full papers presented together with the abstracts of 5 invited lectures were carefully reviewed and selected during two rounds of reviewing and improvement from 46 initial submissions. All current topics in inductive logic programming are covered, ranging from theoretical and methodological issues to advanced applications. The papers present original results in the first-order logic representation framework, explore novel logic induction frameworks, and address also new areas such as statistical relational learning, graph mining, or the semantic Web.
Inductive logic programming ; 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers
The 18th International Conference on Inductive Logic Programming was held in Prague, September 10–12, 2008. ILP returned to Prague after 11 years, and it is tempting to look at how the topics of interest have evolved during that time. The ILP community clearly continues to cherish its beloved ?rst-order logic representation framework. This is legitimate, as the work presented at ILP 2008 demonstrated that there is still room for both extending established ILP approaches (such as inverse entailment) and exploring novel logic induction frameworks (such as brave induction). Besides the topics lending ILP research its unique focus.
Inductive logic programming ; 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers
This book constitutes the thoroughly refereed post-proceedings of the 16th International Conference on Inductive Logic Programming, ILP 2006, held in Santiago de Compostela, Spain, in August 2006. The papers address all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications.
Inductive logic programming ; 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings
“Change is inevitable.” Embracing this quote we have tried to carefully exp- iment with the format of this conference, the 15th International Conference on Inductive Logic Programming, hopefully making it even better than it already was. But it will be up to you, the inquisitive reader of this book, to judge our success. The major changes comprised broadening the scope of the conference to include more diverse forms of non-propositional learning, to once again have tutorials on exciting new areas, and, for the ?rst time, to also have a discovery challenge as a platform for collaborative work. This year the conference was co-located with ICML 2005, the 22nd Inter- tional Conference on Machine Learning, and also in close proximity to IJCAI 2005, the 19th International Joint Conference on Arti?cial Intelligence. - location can be tricky, but we greatly bene?ted from the local support provided by Codrina Lauth, Michael May, and others. We were also able to invite all ILP and ICML participants to shared events including a poster session, an invited talk, and a tutorial about the exciting new area of “statistical relational lea- ing”. Two more invited talks were exclusively given to ILP participants and were presented as a kind of stock-taking—?ttingly so for the 15th event in a series—but also tried to provide a recipe for future endeavours.
Inductive Dependency Parsing
This book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-driven approach to syntactic parsing. More precisely, it is based on a deterministic parsing algorithm in combination with inductive machine learning to predict the next parser action.
Induction, Algorithmic Learning Theory, and Philosophy
This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint.
Indigenous Knowledge and Education in Africa
This book presents a strong philosophical, theoretical and practical argument for the mainstreaming of indigenous knowledge in curricula development, and in teaching and learning across the African continent. Since the dawn of political independence in Africa, there has been an ongoing search for the kind of education that will create a class of principled and innovative citizens who are sensitive to and committed to the needs of the continent. When indigenous or environment-generated knowledge forms the basis of learning in classrooms, learners are able to immediately connect their education with their lived reality. The result is much introspection, creativity and innovation across fields, sectors and disciplines, leading to societal transformation. Drawing on several theoretical assertions, examples from a wide range of disciplines, and experiences gathered from different continents at different points in history, the book establishes that for education to trigger the necessary transformation in Africa, it should be constructed on a strong foundation of learners’ indigenous knowledge. The book presents a distinct and uncharted pathway for Africa to advance sustainably through home-grown and grassroots based ideas, leading to advances in science and technology, growth of indigenous African business and the transformation of Africans into conscious and active participants in the continent’s progress.
Inclusion and Psychological Intervention in Schools : A Critical Autoethnography
This book consists of a number of case studies about interventions in schools to promote the inclusion of pupils referred to a local authority Educational Psychology Service (EPS) in the north of England. The aim is to provide accounts which do not shirk from describing ‘failures’ as well as ‘successes’ and which reflect the general ‘messiness’ of this kind of work. They are written as ‘stories’ from the point of view of an educational psychologist who regards himself as a critical reflective practitioner whose professional practice is grounded in a democratic, inclusive philosophy.
Improving Interagency Collaboration, Innovation and Learning in Criminal Justice Systems : Supporting Offender Rehabilitation
This book to improve collaboration between criminal justice and welfare services in order to help prepare offenders for life after serving a prison sentence. It examines the potential tensions between criminal justice agencies and other organisations which are involved in the rehabilitation and reintegration of offenders, most notably those engaged in mental health care or third sector organisations
Improving Inclusive Education through Universal Design for Learning
Provides an analysis of how the educational strategy of Universal Design for Learning can stimulate the process of inclusive education in different educational-cultural contexts and different areas of the educational system. The findings of the research deepen the conception of inclusive education and present an analysis of factors that are significant for developing the educational system as well as providing evidence-based recommendations for educational practice. The research for this work was done in four European countries with various historical-cultural contexts: Lithuania and Poland underwent a transformation of the educational systems at the turning point in their political system, shifting from a strictly centralized Soviet policy to a liberal and democratic education system; Austria has experienced changes in social stratification and a need for cultural harmonisation arising from active national migration processes, whereas Finland has been gradually developing a socio-democratic model of national welfare.
Improving a Country’s Education : PISA 2018 Results in 10 Countries
This book compares and contrasts the results of international student assessments in ten countries. The OECD’s Programme for International Student Assessment (PISA) released the results of its 2018 assessment in December 2019. This book reflects the debates that typically follow the release of these results and focuses on the causes of differences between countries. Such causes include continuous decline in one country, improvement combined with increasing internal inequalities in another country, or rapid improvement in spite of an outdated curriculum in yet another.
IMPROVE - Innovative modelling approaches for production systems to raise validatable efficiency : Intelligent methods for the factory of the future
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.
Implementing machine learning for finance : A systematic approach to predictive risk and performance analysis for investment portfolios
Introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management / Know the concepts of feature engineering, data visualization, and hyperparameter optimization / Design, build, and test supervised and unsupervised ML and DL models / Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices / Structure and optimize an investment portfolio with preeminent asset classes and measure the / underlying risk
Implementing deeper learning and 21st Century education reforms : Building an education renaissance after a global pandemic
This book is a comparative analysis of recent large scale education reforms that broadened curriculum goals to better prepare students for the 21st century. The book examines what governments actually do when they broaden curriculum goals, with attention to the details of implementation.
Impact of artificial intelligence on organizational transformation
Covers the areas like artificial intelligence & its impact on professions, as well as machine learning algorithms and technologies. The context of applications of AI in business process innovation primarily includes new business models, AI readiness and maturity at the organizational, technological, financial, and cultural levels. The book has extensive details on machine learning and the applications such as robotics, blockchain, Internet of Things. Also discussed are the influence of AI on financial strategies and policies, human skills & values, procurement innovation, production innovation, AI in marketing & sales platforms.
Image and video processing and recognition based on artificial intelligence (Vol. II)
Focuses on challenging issues in the field of AI-based image and video processing and recognition, including the topics of AI-based image processing, understanding, recognition, compression, and reconstruction; AI-based video processing, understanding, recognition, compression, and reconstruction; computer vision based on AI; AI-based biometrics; AI-based object detection and tracking; approaches that combine AI techniques and conventional methods for image and video processing and recognition; explainable AI (XAI) for image and video processing and recognition; generative adversarial network (GAN)-based image and video processing and recognition; and approaches that combine AI techniques and blockchain methods for image and video processing and recognition.
Image and Signal Processing ; 3rd International Conference, ICISP 2008. Cherbourg-Octeville, France, July 1 - 3, 2008. Proceedings
This book constitutes the refereed proceedings of the Third International Conference on Image and Signal Processing, ICISP 2008, held in Cherbourg-Octeville, France, in July 2008.The 48 revised full papers and 22 revised poster papers presented were carefully reviewed and selected from 193 submissions. The papers are organized in topical sections on image filtering, image segmentation, computer vision, feature extraction, pattern recognition, graph-based representations, motion detection and estimation, new interfaces, document processing, and signal processing.
