Call For Papers

IEEE Transactions on Learning Technologies
Special Issue on Intelligent and Innovative Support Systems for CSCL

AIMS
Computer-Supported Collaborative Learning (CSCL) is an interdisciplinary research field that gathers researchers around one common goal: to facilitate the designing, conduction, and analysis of collaborative learning (CL) activities where students and instructors are supported by advanced information and communication technologies. The use of technology helps to understand how learning emerges in group settings and how to create effective scenarios that enable learning through interaction, exploration,
discussion, and collaborative knowledge construction.
The emergence and widespread adoption of the so-called Web 2.0 technologies that allow people to collaborate anytime and anywhere at an unprecedented scale have opened numerous new opportunities for CSCL. In addition, technologies based on Artificial Intelligence (AI) have reached the level of maturity that allow for them to be successfully applied for supporting collaborative learning in innovative and intelligent ways.
To accomplish the development of innovative and intelligent systems for CSCL, we need to rethink what is considered as state-of-the-art in AI technologies and push the research trends in CSCL towards the new generation of technologically sophisticated systems/methods capable of enhancing/improving CL.

TOPICS
In this special issue, we invite submissions of papers presenting novel ideas, critiques of existing works, models, practical studies and experiments with systems based on innovative technologies in CSCL settings. We especially encourage papers that enhance current CSCL systems in architectural, technological, and philosophical levels and stimulate the exploration of new directions of applying AI and Web 2.0 in the
context of CSCL research. Topics of interest include, but are not limited to:
* Architectures, frameworks and systems for CSCL
* Tools and languages to support CSCL scripts
* Web 2.0 technologies applied in CSCL
* Innovative ways for analyzing students' interactions
* New approaches for group/individual assessment
* User modeling, personalization and adaptation for CSCL
* Semantic Web technologies to support CL
* Leveraging Social Semantic Web in CL
* Intelligent (authoring/tutoring) systems for CL
* Agent and multi-agent technology for CL
* Data mining in CSCL context
* Distributed systems to support CL
* Novel user interfaces to support CL

SUBMISSION
Authors should follow the author guidelines at http://www2.computer.org/portal/web/tlt/author. For this special issue, submissions should be at least 8 double-column pages in length and must not exceed 14 double-column pages including text, references, appendices, and figures.

IMPORTANT DATES
30/Mar/2010 Submission deadline
15/Jun/2010 Authors notification
16/Jul/2010 Submission of revisions
10/Aug/2010 Final decision
11/Sep/2010 Submission of final versions

GUEST EDITORS
Seiji Isotani Carnegie Mellon Univ., US
Jacqueline Bourdeau TELUQ-UQAM, CA
Riichiro Mizoguchi Osaka Univ., JP
Barbara Wasson, WeiQin Chen Univ. of Bergen, NO
Jelena Jovanovic Univ. of Belgrade, RS

Contact: isotani@ieee.org