Search
Profile

Ask your question

Close

What Is Education Industry Data?

The education industry covers instruction and training for students and educators in pre-kindergarten to post-graduate levels. Education industry data analyzes students, teachers, unions, local and national policies, funding, school type, teaching methodology, and more.

Ed-tech, a subset of the education industry, focuses on technology and software that enables or enhances education. In the light of Covid-19, more and more classes have moved online, making ed-tech particularly important.

Where Does Education Industry Data Come From?

Most education data comes from individual schools, teacher’s unions, parent organizations, and local and national governments. Even government departments which track related information, like demographics and local regulations, provide important data.

NGOs also track this information, especially to compare student proficiency across nations.

What Types of Columns/Attributes Should I Expect When Working with This Data?

The majority of this data tracks student performance and progress, so historical student test scores and student demographics are a major feature. Additionally, this category tracks educator and administrator data, especially employment numbers, union membership, and school type or methodology.

No matter the purpose of the education dataset, however, researchers should add external data, especially economic and demographic data.

What Is Education Industry Data Used For?

Individual schools may use this data in a large number of ways. For example, they measure teachers effectiveness, whether their budgetary decisions were productive, and whether they need to set up after-school programs for students.

District and national researchers also use this data to measure student proficiency and progress as well as teacher and union effectiveness. They compare student test results across districts and by school type (for instance, comparing public schools to charter schools).

Finally, of course, parents and students use this data to decide whether to enroll in, apply to, or leave a certain school.

How Should I Test the Quality of This Data?

As mentioned above, most data set should use a wide variety of sources. However, if the question being investigated is very specific, like whether a certain distance learning AI program is useful to a class, the range of data sources will be narrow.

Beyond this, however, researchers should simply ensure that the data sources used are comprehensive and up-to-date. Once researchers collect all the sources, it becomes a simple matter to standardize and cleanse the data. Any discrepancies at that point can be investigated.

Interesting Case Studies and Blogs to Look Into

Frontiers: Educational Psychology
Stanford: Urban Charter School Study

Tangible Examples of Impact

The budget-friendly, hi-tech smartphones and tablets can project the contents of the screen on any flat surface and enable educators to deliver engaging lectures in remote areas.

The 5G smartphones and tablets are equipped with several groundbreaking features, including nanotechnology, which offers high-speed connectivity and enhances its capabilities… The phone and tablets also feature a powerful battery and nano-heat dissipation technology that allow it to perform immaculately when running heavy applications.

Digital Journal: Aasim Saied is Revolutionizing the Education Industry With Projector Tablet Technology

Relevant datasets

UNICEF Data

by UNICEF logo

UNICEF Data tracks and presents data on child safety and development worldwide. Their Child Statistics include information on topics such as child health, nutrition, education, and protection.

0 (0)   Reviews (0)

Dell Technologies APEX

by Dell Technologies Logo

Dell Technologies APEX provides IT and AI solutions, especially for IoT, edge computing, and cybersecurity. They structure workloads and manage data and data analysis for a wide range of uses and industries. Some uses include smart cities, creative work, sustainability, and government solutions; meanwhile, industries particularly suited to APEX include retail, healthcare, utilities, and education.

0 (0)   Reviews (0)

LingQ Platform

by LingQ_logo

LingQ Platform is based on the Comprehensible Input theory, where students push themselves to read or hear content that they mostly understand. LingQ tracks these new words and reintroduces them on a spaced repetition system until students have truly learned them.

The LingQ Platform suits both individual students and entire classrooms at any level. It comes in the form of an app for iOS and Android and extensions for Chrome, Safari, and Firefox.

0 (0)   Reviews (0)

Similar Data Providers

  • The Arabesque GroupThe Arabesque Group
    5 (1)
    Reviews ()
    Data sets (4)
    Established in 2013, the Arabesque Group is a leading global financial technology company that combines AI with environmental, social and governance (ESG) data to assess the performance and sustainability of corporations worldwide. In addition to their Asset Management consultation service, the groups offers Arabesque S-Ray GmbH and Arabesque AI Ltd. datasets.
  • Black Box Intelligence Consumer IntelligenceBlack Box Intelligence Consumer Intelligence
    5 (1)
    Reviews ()
    Data sets (0)
    Black Box Intelligence Consumer Intelligence is designed to provide detailed analysis on individual competitor sales and performance data.
  • Home by VendigiHome by Vendigi
    4.3 (3)
    Reviews (1)
    Data sets (1)
    Home by Vendigi provides audience data for all things home buyers, remodelers, and sellers. Their data comes from first-party sources like top multiple listing systems (MLSs) major brokers like RE/MAX, Coldwell Banker, Century 21, and Sotheby's. Users of Vendigi's Home data range from home and garden retailers to insurance institutions to telecom companies.