[Elsnet-list] Call for Papers: IEEE WCCI 2012 special session - EDM 2012

AAG Newsletter advancedanalytics at uts.edu.au
Thu Dec 8 01:18:29 CET 2011

Apologize if you receive more than one copy.

Paper deadline: December 19, 2011

** Accepted papers will be published in the main conference proceedings of
IEEE WCCI 2012 **
** Submission guideline and the submission system, please refer to WCCI
2012 website**


Call For Papers
The Hybrid Special Session on Educational Data Mining (EDM-12)
(EDM-12 is a hybrid session with IJCNN2012, FUZZY-IEEE2012, and CEC2012)


Held in conjunction with
The 2012 IEEE Congress on Computational Intelligence (WCCI 2012)
June 10 - 15, 2012
International Convention Centre, Brisbane, Australia

Important dates: (please closely check the WCCI 2012 website for the
possible update)
- Paper submission deadline:               Dec 19, 2011
- Paper acceptance notification date:           Feb 20, 2012
- Final paper submission deadline:         Apr 2, 2012

Educational Data comes from educational settings, e.g. interactive learning
environments (multiple choice questions, response time), computer aided
collaborative learning (online
learning data), and administrative data (demographics, enrolment). It has
the following typical characteristics: multiple levels of meaningful
hierarchy (subject, assignment, and
question levels), time, sequence, context (a particular student in a
particular class encountering a particular question in a particular problem
on a particular computer at a
particular time on a particular date), fine-grained (record data at
different resolutions to facilitate different analyses, e.g. record data
every 10s) and longitudinal (large data
recorded for many sessions for a long period of time, e.g. spanning
semester land year long courses).

Educational Data Mining (EDM), a newly emerging inter-disciplinary research
field in the discipline of computational intelligence, focuses on Knowledge
Discovery and Data Mining techniques to analyse data from educational
settings, including interactive learning systems, intelligent tutoring
systems and institutional administration
data. The primary goal of EDM is to uncover scientific evidence or patterns
that are useful to gain insights and explain educational phenomena. To meet
the emerging research interest in educational data mining and learning
analytics, this Special Session on Educational Data Mining jointly with
2012 IEEE World Congress on Computational Intelligence
(WCCI2012) provides a leading forum for researchers to publish high quality
original research papers with various topics in educational data mining and
learning analytics. The topics of this special session
may include (but not limited to) cohort analysis, attribution analysis,
pathway analysis, student modelling, learning and teaching behaviour
analysis, learning emotion analysis,
educational psychology analysis, student performance prediction, e-learning
and learning management system building, learning personalization and
recommendation, learning
visualization and analysis, social network analysis in educational
environment, and coursework construction.

Topics of Interest:
The EDM Special Session provides a premier forum for sharing research and
engineering results, as well as potential challenges and prospects
encountered in the communities of educational data mining and learning
analytics. The EDM Special Session welcomes theoretical work and applied
dissemination on, but not limited to:
* Educational data processing and representation
    Educational data acquisition
    Educational domain representation
    Educational data preparation
    Educational data quality issues
    TL behavior construction
    EDM benchmark data

* Educational analysis
    Student cohort analysis
    Student attribution analysis
    Pathway analysis
    Student modelling
    Learning and teaching behaviour analysis
    Learning emotion analysis
    Educational psychology analysis
    Student performance prediction
    Learning and learning management system building
    Learning personalization and recommendation
    Learning visualization and analysis
    Social network analysis in educational environment, and
    Coursework and curriculum construction based on learning outcomes

* TL behavior analysis
    TL behavior modeling
    TL behavior pattern analysis
    TL demographic analysis
    Replication analysis
    Plagiarism analysis
    TL group analysis
    TL sequence analysis
    TL evolution analysis
    TL history analysis
    Mobility analysis

* EDM social analysis
    Educational social factor analysis
    Educational psychological factor analysis
    Educational pedagogical analysis
    TL hidden network and its behavior

* Performance, effect and impact analysis
    TL performance profiling
    TL cause effect analysis
    TL intervention evaluation
    Student at academic risk scoring

* Evaluation and validation
    EDM evaluation methods
    TL validation methods

* EDM software and applications
    EDM software and tools
    Mobile computing EDM tools
    Educational teacher support
    Web-based EDM tools

Submission Instructions:
Please follow the WCCI 2012 paper formatting guide.
Papers are to be submitted through the WCCI 2012 submission system:

Paper review and publication:
All submissions will be reviewed by following the WCCI 2012 review process.
Accepted papers will be included in the WCCI 2012 main conference

Special Session Co-Chairs:
- Longbing Cao, University of Technology Sydney, Australia
- Nitesh Chawla, University of Notre Dame, USA
- George Siemens, Athabasca University, Canada

Session Organizing Chairs:
- Xinhua Zhu, University of Technology Sydney, Australia
- Helen Lu, University of Technology Sydney, Australia

Supported by:
IEEE Task Force on Educational Data Mining

Dr Xinhua Zhu
Email: xinhua.zhu at uts.edu.au
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