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CALL FOR PAPERS (with apologies for cross-posting)
Special Issue on Data Mining for Personalized Educational Systems
User Modeling and User-Adapted Interaction:
The Journal of Personalization Research
(An international journal published by Springer Verlag)
Web site: http://www.uco.es/grupos/ayrna/umuai.html
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SCOPE OF THE SPECIAL ISSUE:
Educational data mining (EDM) is an emerging discipline, concerned with
developing methods for exploring the unique types of data that can be
gathered in an educational context. The increase in instrumented
educational software and in databases of student test scores has created
large data repositories reflecting how students learn. EDM focuses on
computational approaches for using those data to address important
educational questions.
One focus of EDM consists in improving personalized educational systems,
which is the topic of this special issue.
EDM can enhance the effectiveness, personalization and/or adaptivity of
such learning environments. In turn, student data coming from
personalized systems are semantically richer than data from traditional
web-based education system, and can lead to deeper diagnostic analysis.
Contributions to this special issue are particularly welcome in, but not
limited to,
the following topics related to Data Mining for Personalized Educational
Systems:
- Analysis and visualization of student interactions.
- Applying recommender system in educational environments.
- Prediction of performance and marks.
- Applying sequence mining in educational data.
- User modeling using data mining.
- Applying text mining in educational data.
- Improving educational software.
- Detecting outliers, cheating, gaming, errors, misuse, gifted, etc.
- Detecting motivation, affective, behavior, learning styles, etc.
- Improving teacher support and feedback.
- Test item analysis.
HOW TO SUBMIT
Submissions to the special issue should follow the UMUAI formatting
guidelines and submission instructions available at:
http://www.umuai.org/paper_submission.html
Each submission should note that it is intended for the Special Issue on
Data Mining for Personalized Educational Systems.
Potential authors are asked to submit a tentative title and short
abstract (which can be altered for the actual submission) to assist in
the formation of a panel of appropriate reviewers.
UMUAI is an archival journal that publishes mature and substantiated
research results on the (dynamic) adaptation of computer systems to
their human users, and the role that a model of the system about the
user plays in this context.
Many articles in UMUAI are quite comprehensive and describe the results
of several years of work.
Consequently, UMUAI gives "unlimited" space to authors (so long as what
they write is important).
Authors whose paper exceeds 40 pages in journal format (including
illustrations and references) are however requested to supply a short
justification upon submission that explains why a briefer discussion of
their research results would not be advisable.
REVIEW PROCESS
Submissions will undergo the normal review process, and will be reviewed
by three established researchers selected from a panel of reviewers
formed for the special issue.
Barring unforeseen problems, authors can expect to be notified regarding
the review results within three-four months of submission.
IMPORTANT DATES:
- Notification of Intent to Submit: as soon as possible
- Submission of Title and Abstract: March 1, 2010 - Manuscript
Submission: April 16, 2010
GUEST EDITORS
Dr. Cristóbal Romero, Dept. of Computer Sciences, Univ. of Córdoba, Spain.
email: [log in to unmask]
http://www.uco.es/~in1romoc/
Dr. Sebastián Ventura, Dept. of Computer Sciences, Univ. of Córdoba, Spain.
email: [log in to unmask]
http://www.uco.es/~ma1vesos/
If you have any questions do not hesitate to ask the guest editors
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