Workshops

Monday, July 9

• Educational Data Mining
• The Design of AIED Systems: Learner-Centred and Design Pattern approaches ( CANCELLED)
• SWEL'07: Ontologies and Semantic Web Services for Intelligent Distributed Educational Systems
• Modeling and Scaffolding Affective Experiences to Impact Learning

Tuesday, July 10

• From Communities of Interest to Social Learning Communities( CANCELLED)

Morning

• Assessment of Group and Individual Learning through Intelligent Visualization (AGILeViz)
• AIED Applications in Ill-Defined Domains

Afternoon

• Emerging Technologies for Inquiry-Based Learning in Science
• Metacognition and Self-Regulated Learning in Intelligent Tutoring Systems
• Narrative Learning Environments

Camera reading formatting instructions for workshop papers:

Authors, please use the provided template (MS-Word template, LaTeX template).  Please contact individual workshop organizers for deadlines. 

LAYOUT

• Papers - No longer than 10 pages
• Fonts should be 10 point Times New Roman
• Page format A4
• The printed area should be 15.6 cm wide and 25.2 cm long

For further information, contact:

Ivon Arroyo
Joseph E. Beck

Tutorials

Monday, July 9

(1) Authoring Constraint-Based Tutoring Systems (full day)
Antonija Mitrovic, Stellan Ohlsson, Brent Martin, and Pramuditha Suraweera
University of Canterbury and University of Chicago

This tutorial covers both the theory and practice of Constraint-Based Modeling. The first part of the tutorial introduces constraints as a knowledge representation formalism, and Constraint-Based Modeling (CBM) as a theoretical foundation for Intelligent Tutoring Systems (ITSs). The second part covers ASPIRE, our new authoring system for developing constraint-based ITSs, and gives participants the opportunity to experience developing a small ITS in ASPIRE.

(2) Developing Agent-based AIED Systems under the Perspective of the Semantic Web (half day - morning)
Evandro Costa and Ig Bittencourt
Universidade Federal de Alagoas

AIED Systems are gradually incorporating Semantic Web technology. The general motivation for this movement is to making the Web more understandable by machines and then generating AIED systems more adaptive and intelligent. This tutorial aims at providing a systematic study of constructing AIED systems under the perspective of Semantic Web. It will firstly provide the participants with an understanding of the semantic web concepts and technologies. Additionally, the participants will be taught: i) how to evaluate the usage of agents and semantic web technologies and ii) how to implement these technologies in the context of AIED systems. Then, some of the topics to be covered during the tutorial include: agent technologies, technologies, applications, and standards from the semantic web, main components in AIED systems using semantic web ontology language, methods and methodologies for building agent-based AIED systems under the perspective of the semantic web.

Tuesday, July 10

(3) Mediating Conceptual Knowledge with Qualitative Reasoning Technology (full day)
Bert Bredeweg and Paulo Salles
University of Amsterdam and University of Brasilia

Conceptual models are important instruments for science education. Recently Garp3 was developed, a workbench that can be used to create and share conceptual models. This software uses a diagrammatic approach to visualise models and accompanying simulation results, providing users easy to use access to high-end Qualitative Reasoning software. With the support of the Garp3 workbench a wide range of possibilities for educational research and applications have emerged. The tutorial addresses these possibilities.

(4) Rapidly creating a tutorial dialogue system with the TuTalk tool suite (half day - morning)
Pamela Jordan and Kurt VanLehn
University of Pittsburgh

Abstract
In this tutorial participants will learn how to rapidly develop a tutorial dialogue system. Most tutorial dialogue systems that have undergone successful evaluations represent development efforts of many man-years (e.g. CIRCSIM, AutoTutor, WHY-Atlas, the Geometry Explanation Tutor, SCoT, inter alia). Several projects have developed methodologies and tools to improve the effectiveness and development costs of computer-based tutorial dialogue. This tutorial will begin with an overview of various dialogue authoring methodologies and the lessons learned in creating and delivering dialogue content.We will show participants how to create a small dialogue system using the TuTalk tool suite. Participants will then break into groups and develop a small dialogue system of their own. We encourage all participants to install the TuTalk authoring component on their laptops prior to the tutorial. Specific instructions and help will be made available on our website in the weeks prior to the tutorial (see http:andes3.lrdc.pitt.edu/TuTalk).

Audience
The intended audience includes researchers who study tutorial dialogue, regardless of their expertise with software technology and tutorial systems researchers who wish to add a natural language dialogue capability to their systems.

Presenters
Pamela Jordan, Research Associate Learning Research & Development Center University of Pittsburgh Kurt VanLehn, Professor Computer Science & Learning Research & Development Center University of Pittsburgh

(5) TagHelper Tools: Tools for Supporting the Analysis of Verbal Data (half day - afternoon)
Carolyn Penstein Rose
Carnegie Mellon University

A wide range of Intelligent Tutoring researchers and Computer Supported Collaborative Learning researchers collect, code, and analyze large quantities of corpus data as an important part of their research. The interest of educational researchers in this topic has evolved from early work ranging from assessing participation by counting the number of student contributions or average length of student contributions to an in-depth understanding of different qualities of interaction. Knowledge building and learning has been linked to the process by which students construct arguments and argumentation sequences, and how they build on the contributions of their learning partners and tutors. Analyzing these different facets of interaction is a time consuming and effortful process. In this tutorial we will provide instruction on making use of the publicly available TagHelper toolset to support this type of work. Http://www.cs.cmu.edu/~cprose/TagHelper.html.