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IALS-TESLT 2010 : Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers | |||||||||||||||
Link: http://www.igi-global.com/requests/details.asp?ID=775 | |||||||||||||||
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Call For Papers | |||||||||||||||
***2nd CALL FOR CHAPTER PROPOSALS***
INTELLIGENT AND ADAPTIVE LEARNING SYSTEMS: TECHNOLOGY ENHANCED SUPPORT FOR LEARNERS AND TEACHERS A book edited by: Sabine Graf, Fuhua Lin, Kinshuk, and Rory McGreal To be published by IGI Global: http://www.igi-global.com/requests/details.asp?ID=775 Deadline for Proposal Submission: March 15, 2010 Deadline for Chapter Submission: May 15, 2010 Motivation ********** Providing learners with an environment that reacts intelligently to their needs and incorporates their individual characteristics for presenting suitable information and learning material helps to support learners and makes learning easier for them. Such systems and environments can incorporate, for example, the learners' prior knowledge, preferences, learning goals, misconceptions, learning styles, and cognitive abilities. Technology enhanced learning takes place in many different forms and contexts, including formal and informal settings, individual and collaborative learning, learning in the classroom, at home, at work, and outdoor in real life situations, as well as desktop-based learning and learning by using mobile devices. Environments range from desktop-based learning systems such as learning management systems, which present learners with learning material and activities, to mobile, pervasive, and ubiquitous learning environments which are used in real life settings and enable learners to learn from real learning objects. In each of these forms and contexts, adaptive and intelligent support has potential to contribute in making such learning environments more personalized, user-friendly, and effective in supporting learners in learning. Objective of the Book ********************* This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners. Furthermore, the book will show how adaptivity and intelligent support enriches emerging areas of technology enhanced learning by supporting learners and/or teachers through intelligent techniques, as well as incorporating learners' and/or teachers' needs and characteristics . The book aims at presenting innovative research work for enhancing learning environments with adaptivity and intelligent support in different contexts and settings, ranging from provision of courses and assessment in formal desktop-based learning systems to learning environments that support collaborative, informal, ubiquitous learning. Target Audience *************** The primary market includes libraries, as well as academics and professional practitioners working in the area of technology enhanced learning and interested in adaptive and intelligent learning environments. Furthermore, the book is targeted at teachers who are interested in using learning technologies and/or have an interest in reading more about the potential of adaptive and intelligent learning technologies. Another market includes those interested in specific themes of the book (e.g. adaptive assessment, intelligent support for collaborative learning, and so on). Recommended Topics ****************** Topics of chapters deal with models, architectures, development, and evaluations of intelligent and adaptive learning environments and systems, as well as with best practices of using adaptive and intelligent learning environments and systems. The book consists of six sections dealing with application areas of adaptivity and intelligent support in technology enhanced learning and covering specific issues of the respective application areas, as well as general issues such as student modeling, authoring, and usability issues in the respective areas. The sections of the book deal with: . Intelligent and Adaptive Course Provision ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Chapters in this section deal with intelligent and adaptive learning systems that focus on provision of courses, learning material, and learning activities by considering learners' characteristics, behaviour, and needs and/or providing intelligent support for learners and/or teachers. It includes intelligent and adaptive aspects related to (but not limited to): o Presentation and navigation support o Sequencing of learning objects o Curriculum planning o User interfaces and usability issues o Intelligent agents and agent technologies . Intelligent and Adaptive Testing and Assessment ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Chapters in this section deal with intelligent and/or adaptive techniques for testing and assessing students' performance in a course, as well as providing intelligent and adaptive feedback to students. It includes intelligent and adaptive aspects related to (but not limited to): o Automatic composition of exams and creation of questions o Peer assessment o Intelligent and adaptive feedback for learners o Automatic marking of exams . Semantic Web and Ontologies for Intelligent and Adaptive Learning ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Chapters in this section discuss how Semantic Web technologies and/or ontologies can enhance intelligent and adaptive learning systems. It includes intelligent and adaptive aspects related to (but not limited to): o Intelligent ontology-driven learning systems o Incorporation of metadata in learning systems o Applications of Web 3.0 in educational systems . Enhancing Collaborative Learning with Adaptivity and Intelligent Support ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Chapters in this section deal with intelligent techniques and/or adaptive features that facilitate and improve collaborative learning. It includes intelligent and adaptive aspects related to (but not limited to): o Group formation o Individual support of learners in groups o Collaborative student modeling o Creation and selection of group learning activities o Social computing and Web 2.0 for education . Adaptive and Intelligent Features in Game-based Learning and Virtual Worlds ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^ Chapters in this section show how adaptivity and intelligent support can enhance game-based learning, as well as learning in virtual worlds. It includes intelligent and adaptive aspects related to (but not limited to): o Educational robots and toys o Educational games o Game design o Storytelling and narrative in education o Virtual characters/agents o Learning in virtual worlds o Augmented reality in education/training o Multimedia in education/training o Simulation and animation for learning . Mobile, Pervasive, and Ubiquitous Learning enhanced through Adaptivity and Intelligent Support ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^ Chapters in this section discuss how mobile, pervasive, and ubiquitous learning can be enhanced by adaptivity and intelligent support. It includes intelligent and adaptive aspects related to (but not limited to): o Using mobile devices for learning o Location and context awareness in learning systems o Pervasive and ubiquitous learning environments o Small-screen interface design o Learning scenarios with wireless sensor networks o Smart and interactive technologies for education Submission Procedure ******************** Researchers and practitioners are invited to submit their 2-3 page chapter proposals on or before March 15, 2010. A chapter proposal should clearly explain the objectives, target, and content of the proposed chapter. Authors of accepted proposals will be notified latest by April 1, 2010 concerning the status of their proposals and sent chapter submission guidelines. Full chapters are to be submitted by May 15, 2010. All submitted chapters will be reviewed using a double-blind review process. Contributors may also be requested to serve as reviewers for this book project. The authors of accepted chapters will be notified by August 1, 2010. Important Dates *************** March 15, 2010: Deadline for proposal submission (2nd Call) April 1, 2010: Notification of proposal acceptance/rejection May 15, 2010: Deadline for chapter submission August 1, 2010: Review results returned September 15, 2010: Deadline for revised chapters October 15, 2010: Final acceptance notification November 1, 2010: Deadline for final chapters submission Publisher ********* This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2011. Inquiries and submissions can be forwarded electronically (Word document) or by mail to: Dr. Sabine Graf, Dr. Fuhua Lin, Dr. Kinshuk, Dr. Rory McGreal Athabasca University, Canada sabine.graf@ieee.org |
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