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AI for School Teachers
What is artificial intelligence? Can I realistically use it in my school? What’s best done by human intelligence vs. artificial intelligence, and how do I bring these strengths together? What would it look like for me, and my school, to be AI Ready? AI for School Teachers will help teachers and headteachers understand enough about AI to build a strategy for how it can be used in their school. Examining the needs of schools to ensure they are ready to leverage the power of AI and drawing examples from early years to high school students, this book outlines the educational implications and benefits that AI brings to school education in practical ways. It develops an understanding of what AI is and isn't and how we define and measure what we value and provides a framework which supports a step-by-step approach to developing an AI mindset, focusing on ways to improve educational opportunities for students with evidence-informed interventions.
Machine Learning and Human Intelligence
Intelligence is at the heart of what makes us human, but the methods we use for identifying, talking about and valuing human intelligence are impoverished. We invest artificial intelligence (AI) with qualities it does not have and, in so doing, risk losing the capacity for education to pass on the emotional, collaborative, sensory and self-effective aspects of human intelligence that define us. To address this, Rosemary Luckin--leading expert in the application of AI in education - proposes a framework for understanding the complexity of human intelligence. She identifies the comparative limitation of AI when analyzed using the same framework, and offers clear-sighted recommendations for how educators can draw on what AI does best to nurture and expand our human capabilities.
Enhancing Learning and Teaching with Technology
The book brings together researchers, technologists and educators to explore and show how technology can be designed and used for learning and teaching to best effect.
Advances in Help-Seeking Research and Applications
Research on help seeking has primarily focused on classrooms interactions that consist primarily of students asking teachers and peers for help. The rapid emergence of information and communications technologies and interactive learning environments, however, requires expanding the help-seeking landscape and rethinking such critical theoretical issues as the distinction between help seeking and information search, and whether help seeking is inevitably a social self-regulated learning strategy. There is also the need to focus attention on help seeking in the broader learning enterprise, which includes its role in the collaboration process, how to support adaptive rather than the over- or und...
Artificial Intelligence in Education
This two volume set LNAI 10947 and LNAI 10948 constitutes the proceedings of the 19th International Conference on Artificial Intelligence in Education, AIED 2018, held in London, UK, in June 2018.The 45 full papers presented in this book together with 76 poster papers, 11 young researchers tracks, 14 industry papers and 10 workshop papers were carefully reviewed and selected from 192 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas.
Artificial Intelligence in Education
This book constitutes the refereed proceedings of the 18th International Conference on Artificial Intelligence in Education, AIED 2017, held in Wuhan, China, in June/July 2017. The 36 revised full papers presented together with 4 keynotes, 37 poster, presentations, 4 doctoral consortium papers, 5 industry papers, 4 workshop abstracts, and 2 tutorial abstracts were carefully reviewed and selected from 159 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas.
Artificial Intelligence in Education
This book constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence in Education, AIED 2011, held in Auckland, New Zealand in June/July 2011. The 49 revised full papers presented together with three invited talks and extended abstracts of poster presentations, young researchers contributions and interactive systems reports and workshop reports were carefully reviewed and selected from a total of 193 submissions. The papers report on technical advances in and cross-fertilization of approaches and ideas from the many topical areas that make up this highly interdisciplinary field of research and development including artificial intelligence, agent technology, computer science, cognitive and learning sciences, education, educational technology, game design, psychology, philosophy, sociology, anthropology and linguistics.
Re-Designing Learning Contexts
What do we mean by the word ‘context’ in education and how does our context influence the way that we learn? What role can technology play in enhancing learning and what is the future of technology within learning? Re-Designing Learning Contexts seeks to re-dress the lack of attention that has traditionally been paid to a learner’s wider context and proposes a model to help educators and technologists develop more productive learning contexts. It defines context as the interactions between the learner and a set of inter-related resource elements that are not tied to a physical or virtual location. Context is something that belongs to an individual and that is created through their inte...
Introductions to ijCSCL
The interdisciplinary field of Computer-Supported Collaborative Learning (CSCL) explores ways of making learning more engaging, stimulating, and effective by promoting collaboration among learners through the use of computer networking, simulations, and computational support. This volume reproduces the editorial introductions to the International Journal of Computer-Supported Collaborative Learning (ijCSCL) since its beginning in 2006. The introductions situate the articles in each quarterly issue within current CSCL research activity and highlight the unique perspectives and important contributions of the included papers. The introductions also present reflections on topics of CSCL theory and methodology, providing concise contributions of their own. Written in different styles, the introductions as an ensemble provide a lively, stimulating introduction to the CSCL research field as it has grown over the years.
