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CFP - SEMANTIC TECHNOLOGIES FOR LEARNING AND TEACHING SUPPORT IN HIGHER EDUCATION

From: Jodi Schneider <jodi.schneider@deri.org>
Date: Tue, 14 Dec 2010 14:40:03 +0000
Message-Id: <ADD71D88-0E02-4C61-A1C0-33D4E8F2463C@deri.org>
To: public-lld@w3.org
Relevant to those working on Linked Data in repositories. -Jodi

---------- Forwarded message ----------
From: Susan Davies <sdd@ecs.soton.ac.uk>
Date: Tue, Dec 14, 2010 at 1:26 PM
Subject: [webscience-announce] CFP; IEEE TLT Special Section on: Semantic Technologies for Learning and Teaching Support in Higher Education
To: "webscience-announce@ecs.soton.ac.uk" <webscience-announce@ecs.soton.ac.uk>


* Our apologies for cross-postings *
Submission deadline 1 April 2011 - tentative publication: October-November issue 2011
 
============================================================
Call For Papers: Special Section of IEEE Transactions on Learning Technology (http://www.computer.org/tlt):
 
SEMANTIC TECHNOLOGIES FOR LEARNING AND TEACHING SUPPORT IN HIGHER EDUCATION
 
Guest Editors: Hugh Davis, David Millard, Thanassis Tiropanis
University of Southampton  Electronics and Computer Science  Learning Societies Lab
{hcd, dem, tt2}@ecs.soton.ac.uk
============================================================
 
AIMS
Semantic Web technologies appear to hold the promise of providing efficient support for learning and teaching in Higher Education (HE) institutions. Initially, semantic technology adoption was hindered by issues such as ontology consensus, large-scale annotation of learning content, and the underpinning pedagogy. However, the emergence of Web 2.0 strategies for learning content annotation and linked data approaches to data integration seem to introduce a fresh and promising perspective.
 
There have been recent reports identifying the potential of semantic technologies and linked data in terms of addressing HE challenges. For example, the JISC-funded SemTech report  outlined a roadmap for semantic technology adoption in Higher Education, and the Linked Data Horizon Scan  provides recommendations for the effective use of linked data in the HE sector.
 
The emerging linked data movement appears to bring significant value in terms of interoperability, well-formed metadata, data integration, reasoning across resources, and novel ways of collaboration and personalization, which can provide better support for learning and teaching in HE and which benefit teachers, students, and staff. In addition, innovative approaches that use semantic technologies for argumentation support and critical thinking are being developed.
 
There are opportunities and challenges in this emerging era of semantic technology adoption that need to be considered and addressed. This special section invites high quality long and short papers that report work analyzing these challenges and testing different strategies to address them.
 
TOPICS
Papers are invited including (but not limited to) work in any of the following areas:
- Semantic applications for Learning Support in Higher Education
- Use of linked data in repositories inside or across institutions
- Collaborative learning and critical thinking enabled by semantic applications
- Interoperability among universities based on Semantic Web standards
- Ontologies and reasoning to support pedagogical models
- Transition from soft semantics and lightweight knowledge modelling to machine processable, hard semantics
- University workflows using Semantic Web applications and standards
 
SUBMISSION
Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Learning Technologies guidelines 
(http://www.computer.org/portal/web/tlt/author). Please be sure to select the special issue when submitting through ScholarOne Manuscripts. The manuscripts should not have been published or be currently submitted for publication elsewhere.
 
DATES
Deadline for paper submission:        1 April 2011
Notification following first review:  23 May 2011
Revisions due:               17 June 2011
Final decision notification:          29 July 2011
Camera-ready version due:         29 August 2011
Publication date:            October-December issue 2011 (tentative)
 
 
Received on Tuesday, 14 December 2010 14:40:55 GMT

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