LAK11 Tools Wiki
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Modified: 5 February 2011, 12:40 AM User: Marielle Lange →
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...)
||What does it do?
||How could it be used to improved learning?
||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/|
||similar to SNAPP. Also identifes locations of posters
||by recording user visits and letting you play them back to see every mouse movement, click, and form interaction.||http://userfly.com/
||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/
||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/
||A tools to analyze the impact of resources on social networks||http://www.statsmix.com|
||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.
||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
||visualizing relationships in Twitter
|| for anyone wanting to use JS
||visualizing tags in delicious
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.