Ted Panitz (1996) I have been searching for many years for the Holy Grail of interactive learning, a distinction between collaborative and cooperative learning definitions. I am getting closer to my elusive goal all the time but I am still not completel
Ted Panitz (1996) I have been searching for many years for the Holy Grail of interactive learning, a distinction between collaborative and cooperative learning definitions. I am getting closer to my elusive goal all the time but I am still not completel
Weka Machine Learning Project
An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning. These enable a computer program to automatically analyse a large body of data and decide what information is most relevant. This crystallised information can then be used to automatically make predictions or to help people make decisions faster and more accurately.
The overall goal of our project is to build a state-of-the-art facility for developing machine learning (ML) techniques and to apply them to real-world data mining problems. Our team has incorporated several standard ML techniques into a software "workbench" called WEKA, for Waikato Environment for Knowledge Analysis. With it, a specialist in a particular field is able to use ML to derive useful knowledge from databases that are far too large to be analysed by hand. WEKA's users are ML researchers and industrial scientists, but it is also widely used for teaching.
Earlier today, Richard took a look at the state of e-learning 2.0, which got me to thinking about how school might be different if I were in college today because of the influx of new Web 2.0 apps aimed and students. I went to a school that utilized a Vir
knowledgeGarden is a community used by 422 Faculty of Education students exploring emerging learning technologies and learning communities. It is created by people like you and I.