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The Data Science of Educational Management and Policy

The Data Science of Educational Management and Policy

1h 30mGeneral2018-09-12

Authors

Barton Poulson

Barton Poulson

Professor, Designer, Data Analytics Expert

Course details

Educational records and standardized tests offer a treasure trove of data about who our students are and what they actually need from the education system. Data science can help educators glean valuable insights from this deluge of information. In this brief course, data scientist and professor Barton Poulson provides a nontechnical overview of how data science changes the way that education is planned, carried out, and evaluated, as compared to traditional methods of research. Designed for aspiring and working teachers, parents, administrators, and anyone affected by the changing pace of our times, this course helps to illuminate how data science principles and procedures can help us better understand and educate our citizens. Learn how data science enables educators to create more meaningful curricula, evaluate the effectiveness of their progress, and more.

Skills covered

Educational TechnologyData Science FoundationsTraining and EducationData ScienceOne-Off

Concepts

0. Introduction

  • 01 - Data science for education management and policy

1. Applying Data Science

  • 02 - Data science and education
  • 03 - Curriculum planning
  • 04 - Online education
  • 05 - Data science and exceptional students
  • 06 - Standardized and adaptive testing
  • 07 - Retention and attrition pipeline
  • 08 - Educational evaluation
  • 09 - Ethical challenges in educational data
  • 10 - Careers for data scientists in education

Conclusion

  • 11 - Next steps

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