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Data Processing for Education Administration
  • Language: en
  • Pages: 220

Data Processing for Education Administration

  • Type: Book
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  • Published: 1968
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  • Publisher: Unknown

Compilation of articles on EDP systems in handling administrative aspects of educational and school activities, with particular reference to practices in the USA - covers computer services (incl. Multi-customer exploitation and the time factor therein), operational research, performance record evaluation, records maintenance, etc. Bibliography pp. 201 to 215 and diagrams.

Data Processing for Education
  • Language: en
  • Pages: 234

Data Processing for Education

  • Type: Book
  • -
  • Published: 1965
  • -
  • Publisher: Unknown

None

SEDCAR, Standards for Education Data Collection and Reporting
  • Language: en
  • Pages: 160

SEDCAR, Standards for Education Data Collection and Reporting

  • Type: Book
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  • Published: 1991
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  • Publisher: Unknown

A report of the Cooperative Education Data Collection and Reporting (CEDCAR) Standards Project Task Force under contract to the National Center for Education Statistics, U.S. Department of Education.

Establishing an Educational Data Processing Center
  • Language: en
  • Pages: 80

Establishing an Educational Data Processing Center

  • Type: Book
  • -
  • Published: 1969
  • -
  • Publisher: Unknown

None

Databusting for Schools
  • Language: en
  • Pages: 376

Databusting for Schools

  • Type: Book
  • -
  • Published: 2018-06-18
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  • Publisher: SAGE

′In the increasingly data-swamped world of education, data literacy is no longer a desirable skill, it is essential. Databusting for Schools is part guide through the complexities, uses and limitations of data; and part challenge to those who too readily make assumptions and draw conclusions. This is an important book.′ James Pembroke, independent data analyst Data rules schools and ignorance is far from bliss. From assessment results to questioning educational claims, there is a growing need to understand the numbers used in education. Education data blogger and teacher Richard Selfridge (aka Jack Marwood) unravels the complexities of dealing with educational data and explains statistic...

Educational Data Processing: New Dimensions and Prospects
  • Language: en
  • Pages: 340

Educational Data Processing: New Dimensions and Prospects

  • Type: Book
  • -
  • Published: 1967
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  • Publisher: Unknown

None

Responsible Analytics and Data Mining in Education
  • Language: en
  • Pages: 292

Responsible Analytics and Data Mining in Education

  • Type: Book
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  • Published: 2018-12-07
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  • Publisher: Routledge

Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis. Chapter authors from around the world explore how data analytics can be used to improve co...

Data Analytics Applications in Education
  • Language: en
  • Pages: 259

Data Analytics Applications in Education

  • Type: Book
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  • Published: 2017-09-29
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  • Publisher: CRC Press

The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience. As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics tec...

Statistics for Education: with Data Processing
  • Language: en
  • Pages: 382

Statistics for Education: with Data Processing

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