×
We demonstrate that iLOG successfully tracks user interactions that can be used to automate the generation of meaningful empirical usage metadata for different ...
We demonstrate that iLOG successfully tracks user interactions that can be used to automate the generation of meaningful empirical usage metadata for different ...
We demonstrate that iLOG successfully tracks user interactions that can be used to automate the generation of meaningful empirical usage metadata for different ...
It is demonstrated that iLOG successfully tracks user interactions that can be used to automate the generation of meaningful empirical usage metadata for ...
We show that iLOG successfully tracks student interaction data that can be used to automate the creation of meaningful empirical usage metadata that is based on ...
We show that iLOG successfully tracks student interaction data that can be used to automate the creation of meaningful empirical usage metadata that is based on ...
We show that iLOG successfully tracks student interaction data that can be used to automate the creation of meaningful empirical usage metadata that is based on ...
Abstract. We present a framework for the automatic annotation of learning ob- jects (LOs) with empirical usage metadata. Our implementation of the ...
We show that iLOG successfully tracks student interaction data that can be used to automate the creation of meaningful empirical usage metadata that is based on ...
We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning ...