Data and E-Learning Part 13: Dirty Data
Data is only useful for analysis if you can rely on it, and to rely on data it must be
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data
Data and E-Learning Part 12: Ad-hoc database queries (Students)
The previous post in this series showed how to set up and run a query using the Ad-hoc database queries
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Data and E-Learning Part 11: Ad-hoc database queries
The previous post in this series introduced the Ad-hoc database queries plugin, a powerful tool for getting reporting data out
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Data and E-Learning Part 10: Ad-hoc database queries plugin
So far in this article series we have seen how to extract data from a Moodle installation using the tools
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Data and E-Learning Part 9: Moodle Grade History
The previous article in this series looked at how you can access and use the Grader Report in Moodle. We
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Data and E-Learning Part 8: Moodle Grader Report
We saw in the previous article how you can extract participant data out of a Moodle installation. In this article
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Data and E-Learning Part 7: Extracting data from Moodle
Throughout this series we have looked at ways you can use data from your Learning Management System (LMS). In the
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Data and E-Learning Part 6: Limitations of Data
We have seen in this series of articles how we can use data to answer questions we have. We have
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Data and E-Learning Part 5: Combining Datasets
You have questions you want to answer. You have some data that you have pulled out of your Learning Management
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Data and E-Learning Part 4: Developing Questions
In the third article in this series we looked at developing an understanding of your dataset. Understanding your dataset allows
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