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Daily Dashboard | Journal issue focuses on privacy and ethics in educational data analytics Related reading: Perspective: How proper data can reduce algorithmic discrimination

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An issue of the Springer journal, “Education Technology Research and Development,” covered the relationship between ethics and privacy in learning analytics, Phys.org reports. Professors Dr. Dirk Ifenthaler and Dr. Monica Tracey guest edited the issue, explaining why the growth of educational big data doesn’t necessarily result in better learning environments. Education institutions can use student data such as “socio-demographic information, grades on higher education entrance qualifications, or pass and fail rates” to allocate resources, or determine whether a student will drop out of school. “Consequently, higher education institutions need to address ethics and privacy issues linked to educational data analytics. They need to define who has access to which data, where and how long the data will be stored, and which procedures and algorithms to implement for further use of the available data," said Ifenthaler.
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