Think Again III: How to Reason Inductively

“Think Again III: How to Reason Inductively” is the third in a series of four short courses that teach simple but vital rules to follow in thinking about any topic at all and common and tempting mistakes to avoid in reasoning. The courses discuss how to identify, analyze, and evaluate arguments by other people (including politicians, used car salesmen, and teachers) and how to construct arguments in order to help you decide what to believe or what to do.

In this course, you will learn what distinguishes inductive arguments from deductive arguments and then how to analyze and assess five common forms of inductive arguments: generalizations from samples, applications of generalizations, inference to the best explanation, arguments from analogy, and causal reasoning. The course closes by showing how probability can be used to help us make decisions of all sorts.

Highlights:

  • The first run of this course had the highest enrollment (226,000 total) of any Duke MOOC session to date; one of the top 10 overall highest enrollments out of the 600+ courses offered on Coursera.
  • Experimented with incorporating student-produced videos as final course assignment.
  • Translated into Chinese.
  • Online materials used to develop a hybrid version of on-campus course.
  • Part of a series of Duke courses on Reasoning, Data Analysis and Writing, one of Coursera’s first ten Specializations.

Media & Publications:

Instructors:

Ram Neta (UNC-Chapel Hill)

Ram Neta (UNC-Chapel Hill)


Department:

  • Philosophy

Project Use:


Subject:


Launch Date:

  • November 2016

View the project