Free problem based learning software for linux

machine learning framework for Mathematica is a collection of powerful machine learning algorithms integrated into a framework for the main purpose of data analysis.
Fuzzy logic is one of its key techniques. The framework allows for combining different machine learning algorithms to solve one single problem. This combination of distinct algorithms may give the user unforeseen insights into its data.
The algorithms are highly parameterizable. Given this parameterizability combined with the efficient core engine of the machine learning framework for Mathematica, the user is able to analyze their data interactively, with short cycles of changing parameter settings and examining the results.
The machine learning framework for Mathematica covers a wide range of machine learning algorithms which can be integrated to work together and therefore yield new results.
Enhancements:
- runs native on Intel-Macs
- runs in 64-bit mode on G5-Macs
- fuzzy decision trees
- fuzzy rule learning
- fuzzy regression trees
- cluster descriptions
- optimization of fuzzy controllers
- self-organizing maps
- automated model testing
- advanced data visualization.

Elgg: the Learning Landscape is a community building platform written in PHP for MySQL and Apache.
It gives you the tools to create active and vibrant learning communities, featuring Weblogging, podcasting, social networking, file storage, tag searching, customised user themes, gettext multi-language support, and more.
Users can control exactly who has access to each bit of their profile, each blog post, file, etc., and then search using tags to find other resources and people related to the same topic.
Although originally designed for education, it has a broad range of uses in a variety of different settings.
Enhancements:
- Generalised comments
- Bugfixes, efficiency improvements

Klaid - K Learning Aid pops up kvtml file items on the desktop. Use KWordQuiz or FlashKard to produce kvtml files and load them into Klaid. It will grab all complete n x m related items (e.g. "Question" and "Answer", or "Word A" and "Word B") and displays them periodically as PopUps on the desktop. It is like someone is sitting behind you making sure you know all the terms for your next exam or test while surfing the web, coding, or whatever.
Intsllation:
Extract the archive, run "make -f Makefile.cvs && ./configure --prefix=PATH" first. Insert your KDE base installation dir for PATH. In Debian sid and Kubuntu that would be "/usr".
Then compile by typing "make". You may then install the program (as root) via checkinstall or "make install".
Enhancements:
- Version 0.7.6 beta
- Added dutch translation (thanks to Pieter Pareit), added slovenian translation (thanks to Jaka Kranjc), small bugfixes, source should now compile smoothly again

OO Learning Evaluation GO is an object-oriented platform and algorithms for the game of GO.
It aims to provide a capable engine that can learn through experience and a re-usable algorithmic framework for the rapid development of new GO-playing engines.
Enhancements:
- Reorganization of the code was started so that various learnable evaluation functions can be used easily.
- Learning is currently tested in the GoPlayer module.
- The learned function simply learns to imitate the current static function.

Solving word problems is an area where elementary students overwhelmingly display difficulties. Master Math Word Problems program can help sharpen skills through practice. Third through fifth graders learn to watch for key words and translate those into mathematical operations.

Students can learn new math skills, practice logic, get extended practice with word problems, but most of all they learn that they must read the problem. With regular practice your students may become master math word problem solvers.

Download and try out Master Math Word Problems.

JWebPresenter project is a bitmap-image based Web presenting system.
It can add a Web extension to your favorite presentation tool, such as PowerPoint, MagicPoint, or Impress.
This is useful in distance learning, meeting, conferencing, and other situations.
It uses bitmap images to avoid compatibility problems. Other features include platform independence and simplicity.
Main features:
- Bitmap image based presenting: Hence we have no compatibility problem related to character corruption, locale, font, ... You can (and you must) use an authoring tool (e.g., PowerPoint, OpenOffice, MagicPoint, etc) to create the slides, then export into images to be presented with JWebPresenter.
- Platform independent: Any system satisfying the requirements should be OK, including Linux PC, Windows PC, PDA Sharp Zaurus SL-C760 (JWebPresenter SS v1.0x).
- Simplicity: I believe simple thing should be done simply. JWebPresenter SS v1.2.1 package (tar.gz) is only 36KB, including source, pre-compiled binarary, document, sample, and a 18KB (uncompressed size) license called GPL!
- Protocol and Image format independent: All protocols and image formats supported by JRE (Java Runtime Enviroment) should be OK.
- Efficience: There is little overhead in JWebPresenter.

Maypole is a Perl framework for MVC-oriented web applications, similar to Jakartas Struts. Maypole is designed to minimize coding requirements for creating simple web interfaces to databases, while remaining flexible enough to support enterprise web applications.
What does that mean?
Many web applications follow the same kind of flow of operation in response to a request from a user, they mess about with a database, and present the results of that messing about back to the user through some templating system.
For instance, searching a companys product catalogue will take a query from the remote web client, search the database for the rows matching that query, and format the rows as a list for display on a page.
This set-up is sometimes called "MVC", after the famous Smalltalk-80 Model-View-Controller paradigm. For our concerns, this means that the interaction with the user, (the controller element) the actions required at the database, (the model element) and the presentation of data (the view elements) are all neatly compartmentalised.
Maypole provides a generic way of handling that compartmentalisation. It provides the top-level code which examines the users request, fires off the relevant method in the model, collates the data, asks the view class to format it up and sends it back to the user. * As well as this, some common Perl modules, such as Apache, Class::DBI and Template, already perform important parts required for model, view or controller operation, so Maypole provides wrapper classes to help them fit into the framework.
Enhancements:
Bug Fixes :
- Fixed some db_colinfo test bugs
- Fixed typo in edit form template
- AsForm fixes to stringification _to_select
- made DFV and FromCGI warn instead of die on unexpected cgi params
- small improvements to some factory templates
- fix to path handling in mod_perl and CGI when location ends in /
- fixed template path ordering so i.e. /tablename/list is used before /list when provided with a tablename
- fixed template path with array refs
- fix to template being reset from path in plain templates (i.e. where no model), may affect those relying on the bug ( bug 23722 )
- fix to display_line macro in factory templates (bug 22920)
- fix to correct problem with LocationMatch and regex based Location directives in apache config.
- fix to redirect_request
- Fixed typo in _do_update_or_create (bug 26495)
API additions and enhancements :
- new Class::DBI::DFV based model
- New config method : additional, for stashing additional info, especially from additional_data method
- new warn method in maypole/request class/object, over-ridden by Apache::MVC, etc or own driver
- new build_form_elements attribute for Maypole request and Maypole::Config, set it to 0 to avoid building cgi form if you dont need it
- added CGI params to TT error template
- improvements to factory templates
- added search_columns method to base cdbi model class, provides display_columns unless over-ridden
- added new hook - preprocess_location
- added new attribute to Maypole::Config - request_options
- improved pager template macro
Internal additions and enhancements :
- Inheritence simpler and nicer and less hacked
- add_model_superclass method moves @ISA munging into the model
- new test to check everything compiles
- Model inheritance re-organised