Big Data in Education

Provided by:
0/10 stars
based on  0 reviews
Provided by:
Cost FREE
Start Date On demand

Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
22122 reviews

Course Description

Education is increasingly occurring online or in educational software, resulting in an explosion of data that can be used to improve educational effectiveness and support basic research on learning.

In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data. You will learn about the methods being developed by researchers in the educational data mining, learning analytics, learning at scale, student modeling, and artificial intelligence in education communities, as well as standard data mining methods frequently applied to educational data. You will learn how to apply these methods, and when to apply them, as well as their strengths and weaknesses for different applications.

The course will discuss how to use each method to answer education research questions and to drive intervention and improvement in educational software and systems. Methods will be covered b...

Education is increasingly occurring online or in educational software, resulting in an explosion of data that can be used to improve educational effectiveness and support basic research on learning.

In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data. You will learn about the methods being developed by researchers in the educational data mining, learning analytics, learning at scale, student modeling, and artificial intelligence in education communities, as well as standard data mining methods frequently applied to educational data. You will learn how to apply these methods, and when to apply them, as well as their strengths and weaknesses for different applications.

The course will discuss how to use each method to answer education research questions and to drive intervention and improvement in educational software and systems. Methods will be covered both at a theoretical level, and in terms of how to apply and execute them using software tools like RapidMiner. We will also discuss validity and generalizability; towards establishing how trustworthy and applicable the results of an analysis are.

Some knowledge of either statistics, data mining, mathematical modeling, or algorithms is recommended. Experience with programming is not required.

This course is comparable in difficulty to the first course in the Masters in Learning Analytics at Teachers College Columbia University, though it does not go into the same depth as that course.

Big Data in Education course image
Reviews 0/10 stars
0 Reviews for Big Data in Education

Ratings details

  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars

Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

No reviews yet. Be the first!

Rating Details


  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars

Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.