Enhancing Statistics Teaching with a Virtual Lab - A Case Study of Seamless Local and Remote Computing

نویسندگان

  • María Araceli Garín
  • Fernando Tusell
  • Aitziber Unzueta
چکیده

Some Statistics and Data Analysis courses demand a fair amount of computing. While there are excellent free source tools which can be given away to students, their seamless integration requires a fair amount of work and is challenging to the less computer-savvy students. In the past we have addressed the problem by compiling and integrating the necessary tools in CD-ROM’s and providing local computing facilities, but this has proved impractical on a number of counts. Trial and error has led us to finding a setup with which we have finally solved most problems.

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تاریخ انتشار 2011