LAK11 Tools Wiki

We'll collect links to tools for this course

LAK11 Tools Wiki

We've talked a lot about different analytics tools. Compiling them into a single list may help.

Add any tools or other information about them to the table below. (It's looking like this table could be sorted into a few different tables based on different types of analytics tools...)

Tool Name
What does it do?
How could it be used to improved learning?
Other comments
Link
SNAPP



http://research.uow.edu.au/learningnetworks/seeing/snapp/index.html
VUE



http://vue.tufts.edu/
CMAP



http://cmap.ihmc.us/
Kynetx



http://www.kynetx.com/platform/
/>
Google Analytics



http://www.google.com/analytics/
/>
Gephi



http://gephi.org/
ManyEyes



http://www-958.ibm.com/software/data/cognos/manyeyes/
Signals




Gapminder:




http://www.gapminder.org/desktop/
OECD FactBook



http://stats.oecd.org/oecdfactbook/

NodeXL



http://nodexl.codeplex.com/
Moodle Gismo
Moodle Gismo is a graphical monitoring module for Moodle 1.9 that first extracts data of all courses before representing it:


http://gismo.sourceforge.net/
Assessment Applets




Vocabulary growth



writing measures
Netdraw




http://www.analytictech.com/netdraw/netdraw.htm
Pajek




http://vlado.fmf.uni-lj.si/pub/networks/pajek/
Netminer




http://www.netminer.com/NetMiner/home_01.jsp
Touchgraph




http://www.touchgraph.com/navigator
UCINet



http://www.analytictech.com/ucinet/
SaNDVIS
similar to SNAPP. Also identifes locations of posters



Userfly
instantaneous web user studies by recording user visits and letting you play them back to see every mouse movement, click, and form interaction.


http://userfly.com/
/>
Tynt
With a free Tynt account, we can show you detailed information and full statistics about every copy activity on your site and automatically add a link back to your content with every paste.

http://www.tynt.com/
/>
Piwik
An open source alternative to Google Analytics. Provides you with detailed reports on your website visitors, their search engines, keywords, language they speak, your most popular pages, etc.

http://piwik.org/
/>
Statsmix
A tools to analyze the impact of resources on social networks


http://www.statsmix.com




http://kissmetrics.com
/>

R
Statistical package capable of manipulating huge datasets.
It is barebones statistics, but it has modules with functions for social network analysis. It could be a great platform to create and share a library with functions made for learning analytics.
Step learning curve, but very powerful once it is learned.
http://www.r-project.org/
/>
Cytoscape
Cytoscape: An Open Source Platform for Complex-Network Analysis and Visualization
If you need to analyze a large network of interactions between students
Originally developed for biology, it has the capability to manage very large networks with ease
http://www.cytoscape.org
/>
Mention Map
visualizing relationships in Twitter


http://apps.asterisq.com/mentionmap/#
/>
Axiis



Axiis
Prefuse



Prefuse
Mondrian



Mondrian
20 Javascript Libraries



for anyone wanting to use JS
Hublog
visualizing tags in delicious


http://hublog.hubmed.org/archives/001049.html
/>
Delicious Soup
""


http://www.zitvogel.com/delicioussoup/index.php
/>






Anyone know of a tool that can extract tags from IM or twitter text by analyzing the text for meaning?

There is no "discussion tab" that I can see.

Long way: You apply the porter stemmer algorithm to bring each word to their morphological root: http://tartarus.org/~martin/PorterStemmer/. You get rid of all the function words: http://www.flesl.net/Vocabulary/Single-word_Lists/function_word_list.php. You then sort words by frequency count and keep the most frequent ones.

Easy way: Paste your text there: create wordle from text. Annoyingly, it doesn't seem to be possible to access the tags in text format. TagCrowd show the tags as text instead of image.

This type of analysis really is by word frequency, avoiding the words that are known to not bear meaning.

A real meaning analysis is somewhat more complex. One of the techniques is called Latent semantic indexing