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Author: Jeff Mitchell

Analytics Moodle Technical 

Accessing Moodle Logs

7th May 20223rd May 2022 Jeff Mitchell 2 Comments data, logs

Moodle has a logs section where you can view all the actions that have been taken in a specific course.

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Analytics Technical 

Statistics Reports

7th April 20223rd April 2022 Jeff Mitchell 1 Comment data, statistics

Moodle offers a Statistics Report which allows you to delve into the timing and number of hits, views and posts

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Analytics Moodle 

Participant Reports

7th March 202228th February 2022 Jeff Mitchell 0 Comments data, Reporting

We have looked at various ways of extracting data on courses and students in this series of articles. Sometimes you

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Moodle 

Filtering Assignments

7th February 202228th January 2022 Jeff Mitchell 1 Comment data, Moodle

In our previous article (https://www.elearningworld.org/filtering-participants/) we looked at the filtering of participants within Moodle. In this article we examine how

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Analytics Moodle 

Filtering Participants

7th January 20224th January 2022 Jeff Mitchell 3 Comments data, Moodle

In our previous article we examined how you can use Excel to filter a set of data. Through the next

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Filtering data
Analytics Moodle Technical 

Filtering Data

7th December 202129th November 2021 Jeff Mitchell 1 Comment data, Data analysis

Have you ever opened a spreadsheet and stared at it blankly seeing just a wall of text and numbers? Have

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Data backup
Technical 

Data Backups

7th November 20215th October 2021 Jeff Mitchell 1 Comment Backup, data

Have you lost data before? Misplaced or accidentally deleted a file? Made changes to a file and then been unable

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errors
Analytics Moodle 

Small Error Big Mistake

7th October 20214th October 2021 Jeff Mitchell 2 Comments data, Data analysis

Throughout our series on data one thing should have become clear – data is only as good as it is

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Analytics Security 

Handling Sensitive Data

7th September 202116th August 2021 Jeff Mitchell 1 Comment data, Security

The data held in your Moodle LMS will likely be sensitive and you need to take steps to ensure you

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Analytics Technical 

Cleaning Inaccurate Data

7th August 20218th August 2021 Jeff Mitchell 1 Comment data

In the previous post in this series we examined a variety of ways that data can be considered dirty. In

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Recent Posts

  • Moodle — Debugging SQL 24th May 2022
  • 5 ways to personalize Moodle LMS with FilterCodes 20th May 2022
  • Icons, Words, Accessibility and Learning 16th May 2022
  • Moodle 4.0 15th May 2022
  • Moodle 4.0 other highlights 14th May 2022

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