[AISWorld] CALL FOR CHAPTERS_Responsible Analytics & Data Mining in Education

[Mariaelena Corbeil]

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>Submit 1 - 2 page chapter proposal
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>by July 1, 2017 (Deadline Extended)
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>For complete details, please visit the Call for Chapter Proposals:
>https://big-data-in-education.blogspot.com
>
>Publisher: Routledge Taylor & Francis Group
>
>You are invited to submit a 1 - 2 page proposal for one of the publisher
>pre-approved chapters described on the web site OR propose a new chapter
>related to the responsible use of data analytics and data mining in
>education.
>
>Overview
>
>Due to rapid advancements in our ability to collect, process, and analyze
>massive amounts of data, it is now possible for educators at all levels
>to gain new insights into how people learn. According to Bainbridge, et.
>al. (2015), using simple learning analytics models, educators now have
>the tools to identify, with up to 80% accuracy, which students are at the
>greatest risk of failure before classes even begin. As we consider the
>enormous potential of data analytics and data mining in education, we
>must also recognize a myriad of emerging issues and potential
>consequences‹intentional and unintentional‹to implement them responsibly.
>For example:
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>  *   Who collects and controls the data?
>  *   Is it accessible to all stakeholders?
>  *   How are the data being used, and is there a possibility for abuse?
>  *   How do we assess data quality?
>  *   Who determines which data to trust and use?
>  *   What happens when the data analysis yields flawed results?
>  *   How do we ensure due process when data-driven errors are uncovered?
>  *   What policies are in place to address errors?
>  *   Is there a plan for handling data breaches?
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>Important Dates
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>  *   June 1, 2017 ­ Chapter proposal submission deadline
>  *   July 15, 2017 ­ Proposal decision notification
>  *   October 15, 2017 ­ Full chapter submission deadline
>  *   December 1, 2017 ­ Full chapter decision notification
>  *   January 15, 2018 ­ Full chapter revisions due
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