LAK11 Tools Wiki
(Restore this version)
Modified: 5 February 2011, 12:36 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:
|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.
|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.
|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.
|A tools to analyze the impact of resources on social networks
|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.
Easy way: Paste your text there: http://www.wordle.net/create. Annoyingly, it doesn't seem to be possible to access the tags in text format.