Noisy Sheets

Noisy Sheets 3 CRX for Google Sheets

A Free Education Add-on

Published By https://sites.google.com/view/noisy-sheets

Noisy Sheets (oeabdpffipncbgbbcfamooffemkclikb): Noisy Sheets allows users to: add noise to a dataset; share the dataset and calculate results for the students' versions of the data... Read More > or Download Now >

Noisy Sheets for Google Sheets

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Tech Specs

User Reviews

  • 2 Votes, Average: 3 out of 5
  • • Rating Average
  • 3 out of 5
  • • Rating Users
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Download Count

  • • Total Downloads
  • 30
  • • Current Version Downloads
  • 30
  • • Updated: March 13, 2018

Noisy Sheets is a free Education Add-on for Google Sheets. You could download the latest version crx file and install it.

More About Noisy Sheets

Noisy sheets is an add-on that works in google spreadsheets, which allows users to: add noise to a dataset; share the unique datasets with a student cohort; and calculate function results for the students' versions of the data.

Noisy sheets add-on has two options in the menu: 1) "Add noise", which, as its name states, adds noise to a dataset. A number of options are provided to fit your new dataset; and 2) "Answers", which creates a new spreadsheet file named "MasterAnswers". This file contains the correct answers for calculations on the datasets provided to students. The answers in this master sheet can then be compared to student quiz responses.

Before using the "Noisy sheets" add-on, please bear in mind the following suggestions:

Add Noise
- The original spreadsheet should be in a different folder rather than the main “My drive” folder.
- The original spreadsheet should have 3 sheets in total:
A sheet with the dataset.
A sheet with the students’ information in the following format: name, last name, and email.
A sheet with the questions to be asked to students in following format: questions and answers.

Answers
- Before generating the answers, you should share the spreadsheets with students using the “Share” button in the “Add Noise” option.

Download Noisy Sheets 3

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