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EDMPolicy 2018 : Policy and Educational Data Mining: Norms, Risks, & Safeguards | |||||||||||||
Link: https://research.csc.ncsu.edu/arglab/projects/policy.html | |||||||||||||
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Call For Papers | |||||||||||||
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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 |
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