[edm-announce] UMUAI Special Issue on EDM
- From: "Ryan S.J.d. Baker" <ryan@xxxxxxxxxxxxxxxxxxxxxxxxx>
- To: edm-announce@xxxxxxxxxxxxx
- Date: Fri, 2 Oct 2009 09:02:45 -0400
***********************************************************************
CALL FOR PAPERS
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
***********************************************************************
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: cromero@xxxxxx
http://www.uco.es/~in1romoc/
Dr. Sebastián Ventura, Dept. of Computer Sciences, Univ. of Córdoba, Spain.
email: sventura@xxxxxx
http://www.uco.es/~ma1vesos/
If you have any questions do not hesitate to ask the guest editors
***********************************************************************
CALL FOR PAPERS
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
***********************************************************************
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: cromero@xxxxxx
http://www.uco.es/~in1romoc/
Dr. Sebastián Ventura, Dept. of Computer Sciences, Univ. of Córdoba, Spain.
email: sventura@xxxxxx
http://www.uco.es/~ma1vesos/
If you have any questions do not hesitate to ask the guest editors
Other related posts:
- » [edm-announce] UMUAI Special Issue on EDM - Ryan S.J.d. Baker