11th International Workshop on Social and Personal Computing for Web-Supported Learning Communities (SPeL 2018)

11th International Workshop on Social and Personal Computing for Web-Supported Learning Communities (SPeL 2018)

SPeL 2018

11th International Workshop on Social and Personal Computing for

Web-Supported Learning Communities

http://software.ucv.ro/~epopescu/spel2018

In conjunction with MIS4TEL 2018 (8th International Conference in

Methodologies and Intelligent Systems for Technology Enhanced Learning)

https://www.mis4tel-conference.net

20-22 June 2018

Toledo, Spain

* Paper submission deadline: February 5, 2018 (preceded by a mandatory

abstract submission by January 29)

* All accepted workshop papers will be published by Springer in Advances in

Intelligent Systems and Computing series.

MOTIVATION

===========

The workshop follows the previous SPeL 2008, SPeL 2009, SPeL 2010, SPeL

2011, DULP & SPeL 2012, SPeL 2013, SPeL 2014, SPeL 2015, SPeL 2016 and SPeL

2017 workshops, held in conjunction with the SAINT 2008 conference, WI/IAT

2009 conference, DEXA 2010 conference, ICWL 2011 conference, ICALT

2012 conference, ICSTCC 2013 conference, ICWL 2014 conference, ICSLE 2015

conference, ICWL & SETE 2016 conferences and ICWL & SETE 2017 conferences

respectively. The general topic of the workshop is the social and personal

computing for web-supported learning communities.

Web-based learning is moving from centralized, institution-based systems to

a decentralized and informal creation and sharing of knowledge. Social

software (e.g., blogs, wikis, social bookmarking systems, media sharing

services) is increasingly being used for e-learning purposes, helping to

create novel learning experiences and knowledge. In the world of pervasive

Internet, learners are also evolving: the so-called “digital natives” want

to be in constant communication with their peers, they expect an

individualized instruction and a personalized learning environment, which

automatically adapt to their individual needs. The challenge in this context

is to provide intelligent and adaptive support for collaborative learning,

taking into consideration the individual differences between learners.

This workshop deals with current research on the interplay between

collaboration and personalization issues for supporting intelligent learning

environments. Its aim is to provide a forum for discussing new trends and

initiatives in this area, including research about the planning,

development, application, and evaluation of intelligent learning

environments, where people can learn together in a personalized way through

social interaction with other learners.

The workshop is targeted at academic researchers, developers, educationists

and practitioners interested in innovative uses of social media and

adaptation techniques for the advancement of intelligent learning

environments. The proposed field is interdisciplinary and very dynamic,

taking into account the recent advent of Web 2.0 and ubiquitous

personalization, and it is hoped to attract a large audience.

TOPICS OF INTEREST

==================

The workshop welcomes submissions covering aspects of collaboration, social

interactions, adaptivity and personalization in technology enhanced

learning, particularly related to issues about:

* Social learning environments

* Theory and modeling of social computing in education

* Web 2.0 tools for collaborative learning

* Personal learning environments

* Lifelong learning networks

* Virtual spaces for learning communities

* Social networks analysis and mining

* Computer-supported collaborative learning

* Personalized and adaptive learning

* Adaptation methods and techniques for groups of learners

* Intelligent learner and group modeling

* Collaborative filtering and recommendations for learners

* Game-based social learning

* Personalized mobile learning applications

* Cloud-based social learning

* Intelligent agent technology for social learning

* Metadata, folksonomies and tagging

* Semantic web and ontologies for personalized learning

* Cognitive, motivational and affective aspects for personalization

* Practice and experience sharing

PAPER SUBMISSION AND PUBLICATION

==================================

The workshop papers should be formatted according to the Springer LNCS

Authors Guidelines

(http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). The length

of the manuscript should be 4-6 pages for short papers and 8 pages for full

papers.

Papers should be submitted in PDF format, through the Easychair system (link

TBA).

All accepted workshop papers will be included in MIS4TEL 2018 Proceedings,

published by Springer in Advances in Intelligent Systems and Computing

series.

IMPORTANT DATES

===============

Abstract submission: January 29, 2018

Full paper submission: February 5, 2018

Acceptance notification: March 12, 2018

Registration and camera-ready papers: March 26, 2018 Conference dates: June

20-22, 2018

WORKSHOP CHAIRS

================

Elvira Popescu – University of Craiova, Romania Sabine Graf – Athabasca

University, Canada

Please refer to the workshop website (http://software.ucv.ro/~epopescu/spel2018) for more information and contact us at: popescu_elvira@software.ucv.ro or sabineg@athabascau.ca for any inquiry.

Ralf Klamma has diploma, doctoral and habilitation degrees in computer science from RWTH Aachen University. He leads the research group “advanced community information systems” (ACIS) at the information systems chair, RWTH Aachen University. He is coordinating and working in major EU projects for Technology Enhanced Learning (Learning Layers, GALA, METIS and BOOST), He is member of the research excellence cluster "Ultra High Speed Mobile Information and Communication" (UMIC) specialized in mobile multimedia. Ralf organized doctoral summer schools and conferences in Technology Enhanced Learning, and Social Network Analysis. He is on the editorial board of Social Network Analysis and Mining (SNAM) and other journals. His research interests are community information systems, multimedia metadata, social network analysis and technology enhanced learning.