[on behalf of Collin Lynch]
==================================================================
Call for Papers:
Policy and Educational Data Mining: Norms, Risks, & Safeguards
https://research.csc.ncsu.edu/arglab/projects/policy.html
==================================================================
Held in Conjunction with EDM 2018
http://educationaldatamining.org/EDM2018/
Overview
====================================
Educational Data Mining is now common practice. Administrators and
policymakers use data to evaluate educational programs, rate
instructors, and plan for future needs. Researchers use data to
develop new interventions. And students, parents, and instructors
rely on data-driven guidance for support.
As EDM has become commonplace so too has widespread data retention.
Existing laws such as the U.S. Every Student Succeeds Act have imposed
new mandates for data collection and reporting as have smaller scale
laws that require publication of "school report cards" and even
grade-based pay. Schools have likewise come to rely on cloud-based
applications to support instruction, administration, and even personal
modeling. New technologies and new uses pose new policy questions
such as:
* Who owns the educational data and trained models?
* Are data-driven models susceptible to bias or attack? If so how
do we secure them?
* Who can audit or challenge the decisions of these models, and how?
* What safeguards should be put in place to preserve privacy and
educational integrity?
* Can students, parents, or educators opt-out of tracking or modeling?
* Who should pay for data retention?
* Should educational data be portable?
In this workshop we will discuss this new policy landscape, the
technical and social approaches to addressing these risks, and what
other closely-related communities have done. We welcome submission
of:
* Position papers (up to 5 pages): that address the policy questions
above or describe practical experience with policy issues.
* Survey papers (up to 8 pages): that provide an overview of a
relevant research area or policy framework.
* Research papers (up to 8 pages): that describe substantive work on
new technologies to address important policy concerns.
Venue
====================================
This workshop will be held on July 15th in conjunction with the 11th
International Conference on Educational Data Mining in Buffalo, New
York.
Submission Instructions
====================================
Submission deadline: Friday June 22nd.
Submissions should be formatted using the EDM template:
http://educationaldatamining.org/EDM2018/submission/
Submission via EasyChair:
https://easychair.org/conferences/?conf=edmpolicy2018
Organizers
====================================
Collin F. Lynch: North Carolina State University
Beverly park Woolf: University of Massachusetts.
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From: Collin Lynch <cflynch@xxxxxxxx>
Date: Thu, 19 Apr 2018 14:50:13 -0400
Message-ID:
<CAE=6FXaPK_oPvOvWHRabEobZu8C8eF-A-iKMGFQdW2L6F5zMsw@xxxxxxxxxxxxxx>
Subject: Call for Papers: Policy and Educational Data Mining: Norms,
Risks, & Safeguards
To: edm-announce@xxxxxxxxxxxxx
Content-Type: text/plain; charset="UTF-8"
==================================================================
Call for Papers:
Policy and Educational Data Mining: Norms, Risks, & Safeguards
==================================================================
https://research.csc.ncsu.edu/arglab/projects/policy.html
Overview
====================================
Educational Data Mining is now common practice. Administrators and
policymakers use data to evaluate educational programs, rate
instructors, and plan for future needs. Researchers use data to
develop new interventions. And students, parents, and instructors
rely on data-driven guidance for support.
As EDM has become commonplace so too has widespread data retention.
Existing laws such as the U.S. Every Student Succeeds Act have imposed
new mandates for data collection and reporting as have smaller scale
laws that require publication of "school report cards" and even
grade-based pay. Schools have likewise come to rely on cloud-based
applications to support instruction, administration, and even personal
modeling. New technologies and new uses pose new policy questions
such as:
* Who owns the educational data and trained models?
* Are data-driven models susceptible to bias or attack? If so how
do we secure them?
* Who can audit or challenge the decisions of these models, and how?
* What safeguards should be put in place to preserve privacy and
educational integrity?
* Can students, parents, or educators opt-out of tracking or
modeling?
* Who should pay for data retention?
* Should educational data be portable?
In this workshop we will discuss this new policy landscape, the
technical and social approaches to addressing these risks, and what
other closely-related communities have done. We welcome submission
of:
* Position papers (up to 5 pages): that address the policy questions
above or describe practical experience with policy issues.
* Survey papers (up to 8 pages): that provide an overview of a
relevant research area or policy framework.
* Research papers (up to 8 pages): that describe substantive work on
new technologies to address important policy concerns.
Submission Instructions
====================================
Submission deadline: Friday June 22nd.
Submissions should be formatted using the EDM template:
http://educationaldatamining.org/EDM2018/submission/
Submission via EasyChair:
https://easychair.org/conferences/?conf=edmpolicy2018
Organizers
====================================
Collin F. Lynch: North Carolina State University
Beverly park Woolf: University of Massachusetts.
--
ArgLab & Center for Educational Informatics
Department of Computer Science
North Carolina State University
https://research.csc.ncsu.edu/arglab/people/cflynch.html
// eompost 5AD8E4E7:45EC.1:rqznaabhapr
--
ArgLab & Center for Educational Informatics
Department of Computer Science
North Carolina State University
https://research.csc.ncsu.edu/arglab/people/cflynch.html