ITS2008-tutorial-submission

Gaha_Mo

Informations

• Publié par: Nesur
• Nombre de lectures: 35
• Langue: English

Extrait

Title of tutorial:  SemanticWeb and Intelligent Learning Environments Instructors: Prof. Darina Dicheva WinstonSalem State University, 601 S. Martin Luther King Jr. Drive, Winston Salem, NC 27110 Phone: +13367502484, Email: [e-mail],http://myweb.wssu.edu/dichevad/ Dr. Vania Dimitrova School of Computing, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK Phone: +441133431674, Email: [e-mail],http://www.comp.leeds.ac.uk/vania/ Objectives to be achieved: The main goal of this tutorial is to present the stateoftheart in the use of Semantic Web technologies for building Intelligent Learning Environments (ILEs). More specifically, the objectives of the proposed tutorial are:

-To outline concepts, models, languages and technologies on which the Semantic Web is grounded and to show how these technologies can be used in modern ILEs. -To discuss recent advances in the field with a specific focus on the use of SW technologies for intelligent content creation and management, and student modelling and adaptation. -To present handson experience for the participants with example SWbased intelligent educational applications. -To discuss future directions and research challenges to SemanticWeb oriented ILEs.

It is expected that the overall benefit for the participants would be to gain an understanding of the Semantic Web technologies and their use in ILEs, which would enable them to evaluate and utilise these technologies in research and practice.

Contents and topics to be addressed

Introduction

Evolution of Webbased Intelligent Learning Environments: generations, challenges, distinguished features, examples. Introduction to Semantic Web and major SW successes.

Current stateoftheart of Semantic Web technologies related to ILE

SW standards and ILE (learning objects and metadata). Ontologies and their use in ILEs. Use of reasoners, rules and rule engines in ILEs. Use of knowledge extraction tools and wrappers in ILEs.

Semantic Web technologies for intelligent learning content management

Semantic structuring and annotation. Content integration. (Semi) automatic content extraction. Metadata generation. Description of TM4L (http://compsci.wssu.edu/iis/nsdl/index.html).

SW technologies for student modelling and adaptation

Use of ontologies for modelling users and making adaptation decisions Capturing learner knowledge. Mapping between different conceptual user models. Description of Confluence (http://www.comp.leeds.ac.uk/confluence/). Reference to SW technologies not covered in the tutorial. Future research directions in Semantic Webbased ILEs. Target audience: Researchers and research students with interest in intelligent technologies and adaptive learning. Background knowledge expected from the participants:  Theparticipants will be expected to have some familiarity with intelligent learning environments including sufficient understanding of the main components of ILEs. Basic knowledge in the area of Semantic Web will be an advantage. The tutorial will be adapted to the participants’ level of experience with SW technologies. Information about instructor(s): Pr. Darina Dichevais the Paul Fulton/Delta Sigma Theta Distinguished Professor of Computer Science at WinstonSalem State University, WinstonSalem, NC. She has a PhD in Computer Science from the University of Sofia and has worked as a tenured professor at the Faculty of Mathematics and Informatics, University of Sofia and as a visiting lecturer at Dublin City University and University College Dublin.Her research interests include AI methods and tools in education, Intelligent tutoring systems, Web information management, Webbased educational systems, Ontology engineering, Semantic Web, Adaptive information retrieval and filtering, and User modeling. She has authored and coauthored over 100 research papers and textbooks. With regard to her teaching, she has taught a number of courses at undergraduate and graduate level. In 2003 she has received the John Fountain WSSU Master Teacher Award.She is currently Associate Editor of the Intl J. of Continuing Engineering Education and Lifelong Learning, and

member of: Advisory Board of the IEEE Educational Technologies and Society Journal, Editorial Board of the Intl J. of Metadata, Semantics and Ontologies, Editorial Board of the Intl J. on Information Technologies and Knowledge, Review Board of the Interactive Multimedia J. of ComputerEnhanced Learning, and Specialist Reviewer for the Intl J. of Artificial Intelligence in Education. She has been a member of the program committees of more than 25 international conferences in the recent years and is a coorganizer of the workshop series “Semantic Web for eLearning” (20022007, http://compsci.wssu.edu/iis/swel/). She is a member of the IFIP WG 3.3 “Research on Educational Applications of Information Technologies”, the Intl Society of AI in Education, ACM, IFETS, IEEE and the EUROLOGO Intl Scientific Committee. Dr. Vania Dimitrovais a lecturer at the School of Computing, University of Leeds, UK, where she leads the User Modelling and User Adaptive Systems research activity within the Knowledge Representation and Reasoning research group. She is author of some 60 scientific publications; organiser of several international workshops on adaptive learning systems and Semantic Web personalisation; PC member of the major international conferences on useradaptive systems and AI in Education; specialist reviewer for the Int. Journal of Artificial Intelligence in Education, User Modeling and UserAdapted Interaction Journal, IEEE Internet Computing, and ACM Transactions on the Web. She was workshop cochair of the 10th International conference on User Modelling and is a cofounder of an international network on Learner Modelling LeMoRe. She coordinated the Leeds team in the EU project Edukalibre which developed open source technologies for communitydriven creation of educational content. She currently coordinates the Confluence project (funded by the UK mapping agency Ordnance Survey) which develops a flexible tool for user knowledge capture; leads the technical development within the AWESOME project (funded by JISC, UK) developing personalised environment for academic writing; and is an associated member of two European Networks of Excellence – PROLEARN (personalised professional learning) and REWERSE (Reasoning on the Web with Rules and Semantics). She presented a tutorial on Semantic Web and Personalised Learning at the summer school on Personalised Learning at AH2006. She currently teaches a researchled course on Personalisation and Useradaptive systems.

Format and schedule:

The tutorial will include the following sections:

1. Introduction– this section will include an outline of the tutorial’s goal, collecting information about participants’ background, and an opening discussion on the main challenges to modern ILEs and why SW technologies can be used to address these challenges.

2. Overview of selected SW technologies related to ILEs– this section will give a brief review supported with relevant examples from existing ILEs.

3. SW and intelligent creation and management of educational contentfollowing the – previous overview, this section will focus on specific issues related to semantic structuring, annotation, and integration of content, (semi) automatic content extraction, and metadata generation. Appropriate examples of several tools will be given, accompanied by a demo of TM4L.

4. SW technologies for student modelling and adaptation– this section will give an overview of the use of ontologies for modelling users and making adaptation decisions, learner knowledge capture, and mapping between different conceptual user models. Appropriate examples of several tools will be given, accompanied by a demo of Confluence.

5. Closing discussion following the presented demos, this section will further discuss the potential and challenges of SW technologies for intelligent content creation and management, and for student modelling and adaptation. The tutorial will be closed with a brief discussion of future research directions in Semantic Webbased ILEs.

Material to be distributed (handouts, software, etc):  Handoutswith links to relevant software.

Equipment needed (PCs, Internet access, etc):  PC+ Internet access + data projector.