EDM 2012 - EDM 2012: The Fifth International Conference on Educational Data Mining

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Category data mining; e-learning

Deadline: February 12, 2012 | Date: June 19, 2012-June 21, 2012

Venue/Country: Crete, Greece

Updated: 2011-12-06 10:54:46 (GMT+9)

Call For Papers - CFP

19-21 June 2012 in Chania, Crete, Greece

http://educationaldatamining.org/EDM2012/

We invite submissions to the 5th International Conference on

Educational Data Mining (EDM2012), to be held on 19-21 June 2012 in

Chania, Crete, Greece.

The EDM 2012 conference is organized under the auspices of the

International Educational Data Mining Society.

The EDM 2012 conference is a leading international forum for high

quality research that mines large data sets of educational data to

answer educational research questions. These datasets may come from

learning management systems, interactive learning environments,

intelligent tutoring systems, or any system used in a learning

context. EDM 2012 is a highly disciplinary conference that brings

together researchers from computer science, machine learning and data

mining, artificial intelligence in education, intelligent tutoring

systems, education, learning sciences, psychometrics, statistics and

cognitive psychology.

The theme of the EDM 2012 conference is “From Data to Information:

Empowering Learning Environments and Settings”. We particularly

solicit submissions that describe how EDM approaches transform the

educational setting and empirical studies.

EDM may require adaptation of existing or development of new

approaches that build upon techniques from a combination of areas,

including but not limited to statistics, psychometrics, machine

learning, information retrieval, recommender systems and scientific

computing.

EDM 2012 will immediately follow the Eleventh International Conference

on Intelligent Tutoring Systems (ITS 2012), 14-18 June 2012, at the

same location.

TOPICS OF INTEREST

Topics of interest to the conference include, but are not limited to:

- Generic frameworks, methods and approaches for EDM

- Improving educational software. Many large educational data sets

are generated by computer software. Can we use our discoveries to

improve the software’s effectiveness?

- Domain representation. How do learners represent the domain? Does

this representation shift as a result of instruction? Do different

sub-populations represent the domain differently?

- Evaluating teaching interventions. Student learning data provides

a powerful mechanism for determining which teaching actions are

successful. How can we best use such data?

- Emotion, affect, and choice. The student’s level of interest and

willingness to be a partner in the educational process is critical.

Can we detect when students are bored and uninterested? What other

affective states or student choices should we track?

- Integrating data mining and pedagogical theory. Data mining

typically involves searching a large space of models. Can we use

existing educational and psychological knowledge to better focus our

search?

- Improving teacher support. What types of assessment information

would help teachers? What types of instructional suggestions are both

feasible to generate and would be welcomed by teachers?

- Replication studies. We are especially interested in papers that

apply a previously used technique to a new domain, or that reanalyze

an existing data set with a new technique.

- Best practices for adaptation of data mining techniques to EDM,

information retrieval, recommender systems, opinion mining, and

question answering techniques

SUBMISSION PROCESS

All submissions should follow the ACM SIG KDD Explorations submission format

(examples at the website)

- Full papers (up to 8 pages). Should describe original,

substantive, mature and unpublished work.

- Short papers (4 pages). Should describe original, highly

promising and unpublished work, whose merit will be assessed in terms

of originality and importance rather than maturity and technical

validation.

- Posters and Demos (2 pages). Posters describe original and

unpublished work in progress and last minute results. Demos describe

educational data mining tools and systems, or educational systems that

use EDM techniques.

- Doctoral consortium (up to 3 pages). Should describe the

graduate/postgraduate student’s research topic, proposed

contributions, results so far, and aspects of the research on which

advice is sought. Should be solely authored by the student.

Submissions will be accepted through easychair

(https://www.easychair.org/conferences/?conf=edm2012)

Each submitted paper will be reviewed by at least three reviewers.

Accepted papers will be published in the EDM2012 proceedings and will

also appear online on this website.

IMPORTANT DATES

5 February 2012, Abstract submissions due

12 February 2012, Full and short paper submissions due

19 February 2012, Doctoral consortium submissions due

2 April 2012, Notification of acceptance (Full, short, doctoral consortium)

5 April 2012, Poster and demo submissions due

16 April 2012, Notification of acceptance (Posters and demos)

22 April 2012, Final papers due

19-21 June 2012, Conference days

CONFERENCE ORGANIZERS

Conference chair

John Stamper, Carnegie Mellon University

Program chairs

Kalina Yacef, University of Sydney

Osmar Zaiane, University of Alberta

Poster and demo chairs

Arnon Hershkovitz, Worcester Polytechnic Institute

Michael Yudelson, Carnegie Mellon University

Doctoral Consortium chairs

Art Graesser, University of Memphis

Zachary Pardos, Worcester Polytechnic Institute

Web chair

Michael Bett, Carnegie Mellon University

Local Organization

Kitty Panourgia, Neoanalysis