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Web Engineering
The refereed proceedings of the International Conference on Web Engineering, ICWE 2003, held in Oviedo, Spain in July 2003. The 25 revised full papers and 73 short papers presented together with 2 invited papers were carefully reviewed and selected from 190 submissions. The papers are organized in topical sections on agents on the Web, e-commerce, e-learning, human-computer interaction, languages and tools, mobility and the Web, multimedia techniques and telecommunications, security, Web quality and testing, semantic Web, and Web applications development.
Groupware: Design, Implementation, and Use
This book constitutes the refereed proceedings of the 9th International Workshop on Groupware, CRIWG 2003, held in Autrans, France in September 2003. The 30 revised full papers presented together with an invited keynote paper were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on workspaces and groupware infrastructure, tailoring, groupware evaluation, flexible workflow, CSCL, awareness, supporting collaborative processes, workflow management systems, context in groupware, supporting communities.
Web Engineering
Web engineering is a new discipline that addresses the pressing need for syst- atic and tool-supported approaches for the development, maintenance and te- ing of Web applications. Web engineering builds upon well-known and succe- ful software engineering principles and practices, adapting them to the special characteristics of Web applications. Even more relevant is the enrichment with methods and techniques stemming from related areas like hypertext authoring, human-computer interaction, content management, and usability engineering. The goal of the 4th International Conference on Web Engineering (ICWE 2004), inlinewiththepreviousICWEconferences,wastoworktowardsabetterund- standing of the i...
Intelligent Computing and Innovation on Data Science
This book gathers high-quality papers presented at 2nd International Conference on Technology Innovation and Data Sciences (ICTIDS 2021), organized by Lincoln University, Malaysia from 19 – 20 February 2021. It covers wide range of recent technologies like artificial intelligence and machine learning, big data and data sciences, Internet of Things (IoT), and IoT-based digital ecosystem. The book brings together works from researchers, scientists, engineers, scholars and students in the areas of engineering and technology, and provides an opportunity for the dissemination of original research results, new ideas, research and development, practical experiments, which concentrate on both theory and practices, for the benefit of common man.
Knowledge-Based Intelligent Information and Engineering Systems
During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. The very fast pace of change in processor and information technology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with h...
Computers and Education
This volume contains a selection of papers on the most up-to-date experiences in the field of computers and education. It includes most relevant case studies and novel research results addressing technical and methodological aspects of computers and educations. It is relevant to researchers, practitioners, teaching staff and developers working in e-learning, computer-based education, educational software, distributed learning, lifelong learning, and open and distance learning.
Advances in E-Learning: Experiences and Methodologies
Web-based training, known as e-learning, has experienced a great evolution and growth in recent years, as the capacity for education is no longer limited by physical and time constraints. The emergence of such a prized learning tool mandates a comprehensive evaluation of the effectiveness and implications of e-learning. Advances in E-Learning: Experiences and Methodologies explores the technical, pedagogical, methodological, tutorial, legal, and emotional aspects of e-learning, considering and analyzing its different application contexts, and providing researchers and practitioners with an innovative view of e-learning as a lifelong learning tool for scholars in both academic and professional spheres.
User Modeling 2003
The refereed proceedings of the 9th International Conference on User Modeling, UM 2003, held in Johnstown, PA, USA in June 2003. The 20 revised full papers and 28 revised poster papers presented together with 12 abstracts were carefully reviewed and selected from 106 submissions. The papers are organized in topical sections on adaptive hypermedia, adaptive Web, natural language and dialogue, plan recognition, evaluation, emerging issues of user modeling, group modeling and cooperation, applications, student modeling, learning environments - natural language and paedagogy, and mobile and ubiquitous computing.
Early Warning Systems and Targeted Interventions for Student Success in Online Courses
Online learning has increasingly been viewed as a possible way to remove barriers associated with traditional face-to-face teaching, such as overcrowded classrooms and shortage of certified teachers. While online learning has been recognized as a possible approach to deliver more desirable learning outcomes, close to half of online students drop out as a result of student-related, course-related, and out-of-school-related factors (e.g., poor self-regulation; ineffective teacher-student, student-student, and platform-student interactions; low household income). Many educators have expressed concern over students who unexpectedly begin to struggle and appear to fall off track without apparent ...
Preference Learning
The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated...
