Publication

Analysis and Design of Large-scale Online Classes

Martin Vetterli, Paolo Prandoni
2014
Reports

Abstract

Massive Open Online Courses (MOOCs) have become an emergent paradigm of large-scale knowledge distribution, have generated wide interest in the higher education community and are anticipated by many to bring impact to the future of higher education. In this research project, we study the learning analytics and learner dynamics of a pilot MOOC, the Digital Signal Processing (DSP) MOOC on Coursera. In the first part, we study the learning analytics using scheduling theories and ranking algorithms; in the second part, we study the learner dynamics using Complementary Cumulative Distribution Functions (CCDFs).

Official source

https://infoscience.epfl.ch/entities/publication/9a0362d4-098e-40a2-8db0-134d364230be

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Martin Vetterli, Paolo Prandoni
2014
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/9a0362d4-098e-40a2-8db0-134d364230be

About this result

Related concepts (32)

Cumulative distribution function

In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable , or just distribution function of , evaluated at , is the probability that will take a value less than or equal to . Every probability distribution supported on the real numbers, discrete or "mixed" as well as continuous, is uniquely identified by a right-continuous monotone increasing function (a càdlàg function) satisfying and .

Massive open online course

A massive open online course (MOOC muːk) or an open online course is an online course aimed at unlimited participation and open access via the Web. In addition to traditional course materials, such as filmed lectures, readings, and problem sets, many MOOCs provide interactive courses with user forums or social media discussions to support community interactions among students, professors, and teaching assistants (TAs), as well as immediate feedback to quick quizzes and assignments.

Normal distribution

In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter is the mean or expectation of the distribution (and also its median and mode), while the parameter is its standard deviation. The variance of the distribution is . A random variable with a Gaussian distribution is said to be normally distributed, and is called a normal deviate.

Related publications (3)

Analysis and Design of Large-scale Online Classes

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