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  2. Common Education Data Standards - Wikipedia

    en.wikipedia.org/wiki/Common_Education_Data...

    The Common Education Data Standards (CEDS) project is a United States national collaborative effort [1] to develop voluntary, common data standards for a key set of education data elements to streamline the exchange, comparison, and understanding of data within and across P-20W institutions and sectors. [2]

  3. Schools Interoperability Framework - Wikipedia

    en.wikipedia.org/wiki/Schools_Interoperability...

    Vertical interoperability involves data collection from multiple agents (upward) or publishing of information to multiple agents (downward). For example, a state-level data warehouse may listen for changes in district-level data warehouses and update its database accordingly.

  4. Educational data mining - Wikipedia

    en.wikipedia.org/wiki/Educational_data_mining

    While the analysis of educational data is not itself a new practice, recent advances in educational technology, including the increase in computing power and the ability to log fine-grained data about students' use of a computer-based learning environment, have led to an increased interest in developing techniques for analyzing the large amounts of data generated in educational settings.

  5. SPS focuses on educational data at board meeting - AOL

    www.aol.com/sps-focuses-educational-data-board...

    Aug. 9—Educational data from across the district was one of the main topics Tuesday at the Stillwater Public Schools Board of Education meeting. Janet Vinson, SPS assistant superintendent of ...

  6. Data warehouse automation - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse_automation

    Data warehouse automation works on the principles of design patterns. It comprises a central repository of design patterns, which encapsulate architectural standards as well as best practices for data design, data management, data integration, and data usage. [3]

  7. Data Quality Campaign - Wikipedia

    en.wikipedia.org/wiki/Data_Quality_Campaign

    The Data Quality Campaign was founded in 2005, by Aimee Guidera and 10 founding partners as a national collaborative effort to encourage states to improve the collection and use of high-quality education data, and implement state longitudinal data systems to measure student achievement.

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