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The field of Artificial Intelligence in Education includes research and researchers from many areas of technology and social science. This study aims to open opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area.
This book constitutes the proceedings of the third annual conference under the UMAP title, aptation, which resulted from the merger in 2009 of the successful biannual User Modeling (UM) and Adaptive Hypermedia (AH) conference series, held on Girona, Spain, in July 2011. The 27 long papers and 6 short papers presented together with15 doctoral consortium papers, 2 invited talks, and 3 industry panel papers were carefully reviewed and selected from 164 submissions. The tutorials and workshops were organized in topical sections on designing adaptive social applications, semantic adaptive social Web, and designing and evaluating new generation user modeling.
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classifica...
The 33 revised full papers and 30 poster summaries presented together with papers of 12 selected doctoral consortium articles and the abstracts of 3 invited lectures were carefully reviewed and selected from 160 submissions. The book offers topical sections on adaptive hypermedia, affective computing, data mining for personalization and cross-recommendation, ITS and adaptive advice, modeling and recognizing human activity, multimodality and ubiquitous computing, recommender systems, student modeling, user modeling and interactive systems, and Web site navigation support.
"This book focuses on Hybrid Learning as a way to compensate for the shortcomings of traditional face-to-face teaching, distance learning, and technology-mediated learning"--Provided by publisher.
This book constitutes the thoroughly refereed proceedings of the 21st International Conference on User Modeling, Adaption, and Personalization, held in Rome, Italy, in June 2013. The 21 long and 7 short papers of the research paper track were carefully reviewed and selected from numerous submissions. The papers cover the following topics: recommender systems, student modeling, social media and teams, human cognition, personality, privacy, web curation and user profiles, travel and mobile applications, and systems for elderly and disabled individuals.
This book constitutes the refereed proceedings of the First International Conference on Hybrid Learning, ICHL 2008, held in Hong Kong, China, in August 2008. The 38 revised full papers presented together with 3 keynote lectures were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on hybrid education, model and pedagogies for hybrid learning, trends, pervasive learning, mobile and ubiquitous learning, hybrid learning experiences, hybrid learning systems, technologies, as well as contextual attitude and cultural effects.
First Published in 1988. A collection of papers, presentations and poster summaries from the tenth annual conference of the Cognitive Science Society in Montreal, Canada August 1988.
ICNC-FSKD is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, communications, and more. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.
Nowadays, mental models are seen as crucial in systems design. Research is driven by the assumption that a better insight into a user's cognitive processes when using a system will improve design methods and provide friendly and efficient interfaces. The papers in this volume explore three fundamental issues: understanding the complexity of the intended worksystem, describing it by models and finally building the required powerful and usable system. The papers are an edited selection of those presented at the 8th interdisciplinary workshop on Mental Models and HCI, held in Austria in June 1989. They concentrate primarily on design issues, their theoretical background and the application of the concept of Human-Computer Interaction (HCI). Nevertheless, there are also contributions on theoretical topics and methodological questions.