Artificial Intelligence in Schools: A Guide for Teachers, Administrators, and Technology Leaders, Arora Varun
Автор: Arora, Varun Название: Artificial intelligence in schools ISBN: 1032009055 ISBN-13(EAN): 9781032009056 Издательство: Taylor&Francis Рейтинг: Цена: 4592.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence in Schools is the first book to explore the use of Artificial Intelligence (AI) as a tool to enhance K–12 instruction and administration. Every industry and sector will be drastically affected by the presence of artificial intelligence, and schooling is no exception! Written for the in-service community—leaders, administrators, coaches, and teachers alike—this is your one-stop opportunity to make sure you don’t fall behind the fast pace and promising innovations of today’s most advanced learning technology. Author Varun Arora presents AI as a problem-solving tool for teaching and learning, exploring its potential and application in real-world school contexts and in the language of educators. Covering curriculum development, feedback and scoring, student empowerment, behavioral and classroom management, college readiness, and more, the book is full of novel insights and concrete, strategic takeaways.
Описание: The 3-volume set CCIS 1422, CCIS 1423 and CCIS 1424 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021.
Описание: Ethics and Regulation of Artificial Intelligence.- Ontology cooperation to model the needs of disabled persons.- A Conceptual Framework of Intelligent Management Control System for Higher Education.- Curriculum Vitae evaluation using Machine Learning Approach.- University Students' Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case studies.- Customer Churn Prediction in FMCG Sector using Machine Learning Applications.- Crowdsourcing as a Tool Supporting Intra-city Communication.- The Importance of Internet of Things for Smart Cities.- Developing a Knowledge Base for Climate Change for Metropolitan Cities.- Can Artificial Intelligence Effectively Support Sustainable Development?.- Holistic Approach to Smart Factory.- Development of Big Data Analytics in the Multi-sites Enterprise on the Example of Supply Chain Management.- Analyzing Natural Gas Prices for Turkey in the Light of Possible Hub.- Predicting Power Deviation in the Turkish Power Market Based on Adaptive Factors Impacts.- Machine learning methods in the inclinometers readings anomaly detection issue on the example of tailings storage facility.
Автор: Lawry, Tom Название: Artificial intelligence in healthcare ISBN: 0367333716 ISBN-13(EAN): 9780367333713 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written for clinical and business leaders in health, this book defines Artificial Intelligence and its role in driving digital transformation to improve clinical, operational and financial outcomes of provider, payer and public health organizations worldwide.
Автор: Jeremy Knox; Yuchen Wang; Michael Gallagher Название: Artificial Intelligence and Inclusive Education ISBN: 9811381607 ISBN-13(EAN): 9789811381607 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning.
To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.
Описание: As the world has adapted to the age of digital technology, present day business leaders are required to change with the times as well. Addressing and formatting their business practices to not only encompass digital technologies, but expand their capabilities, the leaders of today must be flexible and willing to familiarize themselves with all types of global business practices.
Global Business Leadership Development for the Fourth Industrial Revolution is a collection of advanced research on the methods and tactics utilized to succeed as a leader in the digital age. While highlighting topics including data privacy, corporate governance, and risk management, this book is ideally designed for business professionals, administrators, managers, executives, researchers, academicians, and business students who want to improve their understanding of the strategic role of digital technologies in the global economy, in networks and organizations, in teams and work groups, in information systems, and at the level of individuals as actors in digitally networked environments.
Автор: Pinkwart Niels, Liu Sannyuya Название: Artificial Intelligence Supported Educational Technologies ISBN: 303041101X ISBN-13(EAN): 9783030411015 Издательство: Springer Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Chapter 1. Open learning analytics: a systematic literature review and future perspectives.- Chapter 2. Non-distracting feedback in artificial intelligence supported learning.- Chapter 3. Research on human-computer cooperative teaching supported by artificial intelligence robot assistant.- Chapter 4. A new conceptual framework for measuring online listening in asynchronous discussion forum.- Chapter 5. Self-improvable, self-improving, and self-improvability adaptive instructional system.- Chapter 6. Can sensors effectively support learning?.- Chapter 7. A prototype system of search: finding short material for science education in long and high-definition documentary videos.- Chapter 8. A learning attention monitoring system via photoplethysmogram using wearable wrist devices .- Chapter 9. Towards improving social interaction ability for children with autism spectrum disorder using multimodal sensory information.- Chapter 10. Personalized citation recommendation using a ensemble model of dssm and bibliographic information .- Chapter 11. Augmented: Academic performance prediction based on digital campus.- Chapter 12. Joint embedding learning of educational knowledge graphs.- Chapter 13. Modeling the self-regulated learning behaviors of graduate students in online academic reading and writing environments.- Chapter 14. Mapping machine-generated questions to their related paragraphs in the textbook.- Chapter 15. Change management for learning analytics.- Chapter 16. Lessons learned from designing adaptive training systems: An ethical perspective.
Описание: Artificial Intelligence, Mixed Reality, and the Redefinition of the Classroom highlights new interpretations, understandings, and emerging technologies that radically remake traditional educational models, structures, and systems, and upend how faculty teach, and students learn.
Full Papers.- RepairNet: Contextual Sequence-to-Sequence network for automated program repair.- Seven-year longitudinal implications of wheel spinning and productive persistence.- A Systematic Review of Data-driven Approaches to Item Difficulty Prediction.- Annotating Student Engagement Across Grades 1-12: Associations with Demographics and Expressivity.- Affect-Targeted Interviews for Understanding Student Frustration.- Explainable Recommendations in a Personalized Programming Practice System.- Mutilingual Age of Exposure.- DiSCS: A New Sequence Segmentation Method for Open-Ended Learning Environments.- Interpretable Clustering of Students' Solutions in Introductory Programming.- Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks.- Ordering Effects in a Role-Based Scaffolding Intervention for Asynchronous Online Discussions.- Option Tracing: Beyond Correctness Analysis in Knowledge Tracing.- An approach for detecting student perceptions of the programming experience from interaction log data.- Discovering Co-creative Dialogue States during Collaborative Learning.- Affective Teacher Tools: Affective Class Report Card and Dashboard.- Engendering Trust in Automated Feedback: A Two Step Comparison of Feedbacks in Gesture Based Learning.- Investigating students' reasoning in a code-tracing tutor.- Evaluating Critical Reinforcement Learning Framework In the Field.- Machine learning models and their development process as learning affordances for humans.- Predicting Co-Occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor.- A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing.- The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students' Collaborative Dialogue.- Extracting and Clustering Main Ideas from Student Feedback using Language Models.- Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework.- A Good Start is Half the Battle Won: Unsupervised Pre-Training for Low Resource Children's Speech Recognition for an Interactive Reading Companion.- Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption.- Deep Performance Factors Analysis for Knowledge Tracing.- Gaming and confrustion explain learning advantages for a math digital learning game.- Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks.- TARTA: Teacher Activity Recognizer from Transcriptions and Audio.- Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts.- "Can you clarify what you said?" Studying the impact of tutee agents' follow-up questions on tutors' learning.- Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT.- A Multidimensional Item Response Theory Model for Rubric-based Writing Assessment.- Towards Bloom's Taxonomy Classification Without Labels.- Automatic Task Requirements Writing Evaluation With Feedback via Machine Reading Comprehension.- Temporal Processes Associating with Procrastination Dynamics.- Investigating Students' Experiences with Collaboration Analytics for Remote Group Meetings.- "Now, I Want to Teach it for Real!" Introducing Machine Learning as a Scientific Discovery Tool for K-12 Teachers, . Better Model, Worse Predictions: The Dangers in Student Model Comparisons.
Globalization - Understanding the correlations between attitudes towards globalization, time, resources and financial resources.- Integrated System for students' Evaluation Using KM Approach.- ICT Platform Design for SME Collaboration.- Platform for Knowledge Society and Innovation Ecosystems.- Measuring Successful Digital Services by identifying Active Users.- Effective management of information processes with CMS in Smart City. The concept of Crowdsourcing.- A Naming System for "The Internet of Things" adapted to industry - A case study in Electrical Engineering.- Augmented Learning and Data Filtering: Knowledge Management and Discovery.- AI Classification in Collaboration for Innovation of Electric Motors of Household Appliances.- A Note on Knowledge Management Education: Towards Implementing Active Learning Methods.- Intellect Modelling KIT.
Описание: This book presents how Digital Transformation is a requirement to upgrade Latin American universities to a next level in management, lecturing and learning processes and strategies.
Автор: Raymond S T Lee Название: Artificial Intelligence in Daily Life ISBN: 9811576947 ISBN-13(EAN): 9789811576942 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Given the exponential growth of Artificial Intelligence (AI) over the past few decades, AI and its related applications have become part of daily life in ways that we could never have dreamt of only a century ago.
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