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Java applets for statistics

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

The MOMO (Mobile Moodle) project is an Add-On to the popular Moodle Learning Management System. It brings the ability to implement mobile learning scenarios with Moodle as a backend. Mobile users install the MOMO client, a JAVA based application, on their mobile phones (or any other JAVA and Internet capable device). Through this client they can access courses wherever they are, which allows completely new scenarios. Administrators install the necessary MOMO extension on their Moodle server which makes the compatible contents available for mobile usage. They can configure and maintain the system through the integrated administration interface all within Moodle. Teachers can design courses with either several mobile elements or complete mobile learning scenarios using the tools and methodologies they know from within Moodle.

Primarily an attendance register with ARS functionality, but limited to 100 Bluetooth and Java equipped cellphones.

Tools to create 'cognitive tutors' for maths and science.

Interesting maths editor and associated tools. Java based and looked like it just inserted a picture of a formula but has another feature which will actually calculate your entries. Need to examine in more detail.