Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
AI for Learning
What is artificial intelligence (AI)? How can AI help a learner, a teacher or a system designer? What are the positive impacts of AI on human learning? AI for Learning examines how artificial intelligence can, and should, positively impact human learning, whether it be in formal or informal educational and training contexts. The notion of ‘can’ is bound up with ongoing technological developments. The notion of ‘should’ is bound up with an ethical stance that recognises the complementary capabilities of human and artificial intelligence, as well as the objectives of doing good, not doing harm, increasing justice and maintaining fairness. The book considers the different supporting roles that can help a learner – from AI as a tutor and learning aid to AI as a classroom moderator, among others – and examines both the opportunities and risks associated with each.
Artificial Intelligence
This Innovative Book On Artificial Intelligence (Ai) Uses The Unifying Thread Of Search To Bring Together The Major Application And Modeling Techniques That Use Symbolic Ai. Each Of The 11 Chapters Is Divided Into 3 Sections:# Section Which Introduces The Techniques# Section Which Develops A Low-Level (Pop-11) Implementation# Section Which Develops A High-Level (Prolog) ImplementationComprehensive Yet Practical, This Book Will Be Of Great Value To Those Experienced In Ai, As Well As To Students With Some Programming Background And Academics And Professionals Looking For A Precise Discussion Of Ai Through Search.This Special Low-Priced Edition Is For Sale In India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan And Sri Lanka Only.
Towards Ubiquitous Learning
This book constitutes the refereed proceedings of the 6th European Conference on Technology Enhanced Learning, EC-TEL 2011, held in Palermo, Italy, in September 2010. The 30 revised full papers presented were carefully reviewed and selected from 158 submissions. The book also includes 12 short papers, 8 poster papers, and 2 invited paper. There are many interesting papers on topics such as web 2.0 and social media, recommender systems, learning analytics, collaborative learning, interoperability of tools, etc.
The Ethics of Artificial Intelligence in Education
The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.
Handbook of Education Policy
This insightful Handbook is an essential guide to educational policy around the world. As shifting geopolitics, intensified climate change, and widening economic inequalities persist, the need for informed educational policy is critical.
Intelligent Tutoring Systems
This book constitutes the proceedings of the 15th International Conference on Intelligent Tutoring Systems, ITS 2019, held in Kingston, Jamaica, in June 2019. The 14 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. In the back matter of the volume 4 poster papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting, and enhancing human learning.
Advances in Artificial Intelligence
The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully reviewed and selected from numerous submissions. The first volume includes 50 papers representing the current main topics of interest for the AI community and their applications. The papers are organized in the following topical sections: automated reasoning and multi-agent systems; problem solving and machine learning; natural language processing; robotics, planning and scheduling; and medical applications of artificial intelligence.
Open Learning and Teaching in Educational Communities
This book constitutes the refereed proceedings of the 9th European Conference on Technology Enhanced Learning, EC-TEL 2014, held in Graz, Austria, in September 2014. The 27 full papers and 18 short papers presented were carefully reviewed and selected from 165 submissions. They address topics such as informal learning, self-regulated and self-directed learning, reflective learning, inquiry based learning, communities of learners and communities of practice, learning design, learning analytics, personalization and adaptation, social media, computer supported collaborative learning, massive open online courses, schools and universities of the future.
