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[edm-announce] Special Issue Call for Papers: Journal of Educational Data Mining: SCIENTIFIC FINDINGS FROM THE NAEP DATA MINING COMPETITION

edm announce special issue call for papers journal of educational data mining scientific findings from the naep data mining competition
  • From: Ryan Baker <ryan@xxxxxxxxxxxxxxxxxxxxxxxxx>
  • To: “edm-announce@xxxxxxxxxxxxx” <edm-announce@xxxxxxxxxxxxx>
  • Date: Sun, 9 Aug 2020 06:28:17 -0400

SCIENTIFIC FINDINGS FROM THE NAEP DATA MINING COMPETITION

Special Issue Call for Papers: Journal of Educational Data Mining (JEDM)

Guest Editors

Ryan S. Baker (Associate Editor), University of Pennsylvania

Neil T. Heffernan, Worcester Polytechnic Institute

Thanaporn “March” Patikorn, Worcester Polytechnic Institute

Carol Forsyth, ETS

Irvin Katz, ETS

Aim of Special Issue

We invite paper submissions for a special issue of the peer-reviewed
Journal of Educational Data Mining that focuses on the scientific findings
from the NAEP 2019 Data Mining Competition.

The National Assessment of Educational Progress (NAEP), often referred to
as The Nation’s Report Card, is the only assessment that measures U.S.
student knowledge nationwide across academic subjects. The NAEP has
collected data since 1969 and measures student success in urban, suburban
and rural areas.

In 2019, The National Center for Educational Statistics (NCES) gave
permission for ETS to provide a NAEP dataset for an educational data mining
competition.The release of this data was part of a competition co-sponsored
by the Big Data for Education Spoke of the NSF Northeast Big Data
Innovation Hub and ETS. Over 89 participants entered the competition, with
a total of 723 submissions. The goal of this competition was to understand
effective and in-effective test-taking behaviors, and determine how quickly
these behaviors can be detected. The full details of the competition can be
found on the competition website
<https://sites.google.com/view/dataminingcompetition2019/home>.

In this special issue of the Journal of Educational Data Mining, we invite
interested researchers to share their findings related to the competition’s
publicly-released data sets, both in terms of data mining and education
research, with the broader scientific community. Although we anticipate
that many of the submissions will come from participants in the
competition, this special issue is open to any researcher analyzing data
from the competition’s data sets, which have remained available after the
competition’s conclusion.

Relevant paper topics may include but are not limited to:

▪        Identifying student cognitive processes related to performance in
assessments

▪        Identifying student strategies and behaviors during assessments

▪        Detecting strategies and behaviors of students taking assessments

▪        Detecting engagement while completing assessments

▪        Detecting gaming the system while completing assessments

▪        Interventions related to this competition

▪        Discoveries about machine learning, feature extraction and
selection, and student modeling produced through participating in the
competition

▪        Higher-level papers on the contributions of competitions such as
this one to educational research

Review Process

As stipulated by JEDM reviewing guidelines, each submission will be
peer-reviewed by three experts in the field. Reviewers will be selected
from the JEDM Editorial Board, participants in the competition, and other
researchers selected by the special issue organizers for their relevant
expertise.

Submission Guidelines

We invite submissions of any length. Please see the JEDM submission
guidelines. All submissions should be made through the JEDM article
submission system.

Please note in your cover letter that your article is intended for this
special issue.

http://jedm.educationaldatamining.org/

http://jedm.educationaldatamining.org/index.php/JEDM/about/submissions

For authors who have published initial versions of their results at the
competition elsewhere, please note that we only can consider submissions
that include at least 33% new material compared to previous publications.

Deadlines

Please submit all articles for consideration in this special issue by
December 22, 2020.

Contact
Please direct any questions relevant to this special issue to
ryanshaunbaker@xxxxxxxxx.
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