Learning Analytics with Excel Pivot Tables

Helena Dierenfeld

Agathe Merceron

April 10, 2023

Beuth Hochschule für Technik

{hdierenfeld,merceron}@beuth-hochschule.de

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Outline

Motivation

LAMA –Learning, Analytics, Mining and Adaption

Pivot Tables

Conclusion and Future Work

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Motivation

Helena Dierenfeld

LMS will become more and more indispensable

It is important for teachers to be aware of how students learn

Learning analytics is a key factor for improving teaching and learning

LMS store user interaction data that can be analyzed

Motivation – LAMA – Pivot Tables – Conclusion

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Why is this useful – an example

Number of accesses to non compulsory quizzes in a course with over 50 students

Motivation – LAMA – Pivot Tables – Conclusion

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Project Goal

The goal of our project is to develop a tool to analyze usage data of learning

management systems in depth for different education providers:

Own data model

Structuring usage data for analysis

Data anonymization

Intuitive GUI

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Adaptation to the User

GUI with three different levels: Quick overview

• Specific charts

Personalized overview• Pivot Tables

For professionals• More statistics, data mining…

Helena Dierenfeld

Motivation – LAMA – Pivot Tables – Conclusion

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View of all courses of a teacher after log in through moodle

Selecting the Courses to analyse Chose which analysis type you want Download it by clicking the submit

button

LAMA LAMA - Learning, Analytics, Mining and Adaption

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What is a Pivot Table

A Pivot Table is a highly

flexible contingency table

It offers the possibility to look

at one sector at a time from a

large dataset

For Excel the following formats

are needed: Headlines in the first row No empty rows or

columns are allowed Empty fields are possible

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Working with a Template

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Conclusion and Future Work

Data model

First version of LAMA-Tool with Pivot Tables

Pivot Table template

Moodle Connection

Integration the GUI for a quick overview

Tests with the users

Research in data mining area

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Thank you

Questions?