posted by organizer: wcFPA31 || 306 views || tracked by 1 users: [display]

EDMPolicy 2018 : Policy and Educational Data Mining: Norms, Risks, & Safeguards

FacebookTwitterLinkedInGoogle

Link: https://research.csc.ncsu.edu/arglab/projects/policy.html
 
When Jul 15, 2018 - Jul 15, 2018
Where Buffalo, New York, USA
Submission Deadline Jun 22, 2018
Notification Due Jun 29, 2018
Final Version Due Jul 10, 2018
 

Call For Papers

==================================================================
Call for Papers:
Policy and Educational Data Mining: Norms, Risks, & Safeguards
http://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

Related Resources

MLDM 2019   15th International Conference on Machine Learning and Data Mining MLDM 2019
ICDM 2019   19th Industrial Conference on Data Mining ICDM 2019
ICDMML 2019   2019 International Conference on Data Mining and Machine Learning
CRISIS 2018   The 13th International Conference on Risks and Security of Internet and Systems
iDSC 2019   International Data Science Conference
DSA 2019   The Frontiers in Intelligent Data and Signal Analysis DSA 2019
MLDM 2019   15th International Conference on Machine Learning and Data Mining
IICE 2018   Ireland International Conference on Education
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
IEEE--ICAIBD--Ei and Scopus 2019   IEEE--2019 The 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD 2019)--Ei Compendex, Scopus