Introduction to Learning Analytics Tools and Data Visualization

LASI-Aalborg, e-Learning LAB, Aalborg Universitet, 3. juni 2013 - Ulla lunde Ringtved -
ulr@ucn.dk . ulr@hum.aau.dk
The Democratization of Data

Creative Commons
http://www.slideshare.net/ulr

Learning Analytics
”Learning Analytics is the
measurement, collection, analysis and
reporting of data about learners and their
contexts, for purposes of understanding and
optimizing learning and the environments in
which it occurs.”
http://www.solaresearch.org
”Learning Analytics is about collecting traces
that learners leave behind
And using those traces to improve learning”
Professor Eric Duval
http://erikduval.wordpress.com/2012/01/30/learning-analytics-and-educational-data-mining/

Learning Analytics
Source: Intro to Learning Analytics on LAK13 course
https://www.youtube.com/watch?feature=player_embedded&v=KqETXdq68vY

Learning Analytics – working with data and tools
Dr. Grace Owen, Open Universities, Australia http://www.youtube.com/watch?v=XjcSfcahjWY, says that
LA is about ”making a meaningfull difference”.
She says about the challenges with size and storing: ” If we pulled one week out of learning
managementsystem of data from prep students, which were 34 students, it was a tb of data, we are
talking massive massive data, so the trick is: how do you get the data? And how are you getting it, is it
unstructured or structured, what are you going to do with it and once you get it where are you going to
put it?”
Key areas, when working with data: First to get hold of the data, storing them, then cleaning them – data
is messy, then maybe integration with other datasets, analyzing them and finaly vizualisation and
presentation in a format that makes sense and is understandable.
Dr. G. Owen highlights the following quistions to consider for an institution working with data:
• Who owns learner-produced data?
• What are the conditions under which an institution jumps data silos(i.e. blending analytics from
student information systems with social media analysis?
• Who has access to the analytics an institution conducts on learners?
• Or, for what matter, who owns the analytics(if it is individual student data worked through an
institutional algoritm, who owns the outcome?)
• LASI13: Who owns the data ? or better What does it mean to own the data?

General tutorials about Datavisualization
http://www.youtube.com/watch?v=T5lRLA_Vn7o
http://www.youtube.com/watch?v=YaGqOPxHFkc

Data Analysis Tools for Dummies
http://gigaom.com/2013/01/31/data-for-dummies-5-data-analysis-tools-anyone-
can-use/

Articles on userfriendly tools e.g. Scraperwiki
http://gigaom.com/2013/05/10/scraperwiki-lets-anyone-scrape-twitter-
data-without-coding/
http://blog.scraperwiki.com/2013/05/07/summarising-serendipity/

Scraping Twitter
https://beta.scraperwiki.com/
Twitter api`s:
https://dev.twitter.com/docs/using-search
https://dev.twitter.com/docs/streaming-apishttp://blog.scraperwiki.com/2013/05/07/summarising-serendipity/
Blogpost on using the summerize tool:

The Tags explorer
http://hawksey.info/tagsexplorer/
http://mashe.hawksey.info/2011/10/tagsexplorer-intro/

The Nodexl Graph Gallery
http://nodexlgraphgallery.org/Pages/Default.aspx
https://www.google.dk/search?source=ig&rlz=1G1ASUT_ENDK388&q=nodexl+how+to&oq=nodexl&gs_l=igoogle.1.9.0l10.5
524.10257.0.16703.6.6.0.0.0.0.343.1057.3j0j1j2.6.0...0.0...1ac.1.12.igoogle.rlA5_XsFB5I

Fusion tables Google
http://www.google.com/drive/apps.html#fusiontables

Text Visualization Tools

Many Eyes, IBM
http://www.youtube.com/watch?v=aAYDBZt7Xk0
http://www.youtube.com/watch?v=7ivjJs7bSVI
http://www.youtube.com/watch?v=yi7HrtCADS4

Tableau public
http://www.tableausoftware.com/public

Open Knowledge Foundation
http://okfn.org/opendata/

Linkedup-project
http://linkedup-project.eu/

Linked Data
http://linkeddata.org/

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