EDM 2012 - EDM 2012 : The Hybrid Special Session on Educational Data Mining

Website | Edit Freely

Category EDM 2012

Deadline: January 18, 2012 | Date: June 10, 2012-June 15, 2012

Venue/Country: Brisbane, Australia

Updated: 2012-01-09 11:44:19 (GMT+9)

Call For Papers - CFP

(EDM-12 is a hybrid session with IJCNN2012, FUZZY-IEEE2012, and CEC2012)

http://datamining.it.uts.edu.au/edd/index.php/edm-special-session-with-wcci-2012

Held in conjunction with

The 2012 IEEE Congress on Computational Intelligence (WCCI 2012)

http://www.ieee-wcci2012.org/

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: Jan 18, 2012

- Paper acceptance notification date: Feb 20, 2012

- Final paper submission deadline: Apr 2, 2012

Introduction:

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

Applications

Lessons

Submission Instructions:

Please follow the WCCI 2012 paper formatting guide.

Papers are to be submitted through the WCCI 2012 submission system:

http://www.ieee-wcci2012.org/ieee-wcci2012/index.php?option=com_content&view=article&id=58&Itemid=67

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 proceedings.

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

http://datamining.it.uts.edu.au/edd/

Contact:

Dr Xinhua Zhu

Email: xinhua.zhuuts.edu.au