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LM-DTM: An Environment for LIP/PAPI-Compliant Deployment, Transformation and Matching of Learner Models.

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Click for full size screenshot.

System Overview

bulletLM-DTM  is a workspace including an IMS LIP-compliant learner profile metadata editor, a learner model tranformation from IMS LIP to IEEE PAPI core features, as well as a lucene-based powerful matching and rating algorithm.

 

Literature

bulletM. A. Chatti, R. Klamma, C. Quix, D. Kensche: LM-DTM: An Environment for XML-Based, LIP/PAPI-Compliant Deployment, Transformation and Matching of Learner Models
P. Goodyear, D.G. Sampson, D.J.-T. Yang, Kinshuk, T. Okamoto, R. Hartley, and N.-S. Chen (eds.): Proceedings of the 5th International Conference on Advanced Learning Technologies (ICALT 2005), July 5-8, Kaohsiung, Taiwan, 567 -- 569
PDF file

Roadmap

bullet May 2005 - November 2005: Development of LM-DTM.
bullet November 2005: LM-DTM v1.0 released.

Features

bullet Deployment of a Learner Model
bullet Create a new LIP-compliant Learner Model
bullet Edit a LIP-compliant Learner Model
bullet Import a LIP-compliant Learner Model into LIP Editor
bullet Save a Learner Model to the file system as XML file
bullet Save a Learner Model into XML native database (tested with eXist DB)
bullet The Learner Model is shown in the left frame of the LIP Editor either as XML DOM Tree view or as XML code text
bullet Transformation of a Learner Model from IMS LIP format to IEEE PAPI format
bullet Matching of a Learner Model to other models stored in the XML learner modeling repository

LM-DTM v1.0 Demos

There are three demos available:

  1. Deployment of the Learner Model
  2. Learner Model Transformation
  3. Matching of Learner Model

Manual Installer

Download LM-DTM version 1.0 cross-platform Manual Install (7.78MB) here: LM-DTM.zip.

Installation Notes

  1. Download LM-DTM.zip
  2. Extract the contents of the zip file to your hard-drive
  3. To run the application, locate and  double-click the LM-DTM.jar file. Alternatively, you can run it via command-line: java -jar LM-DTM.jar (Requires Java 1.5)

LM-DTM Team

bullet Ralf Klamma (home page, email: klamma at informatik dot rwth-aachen dot de), RWTH Aachen
bullet Mohamed Amine Chatti (home page, email: chatti at informatik dot rwth-aachen dot de), RWTH Aachen
bullet Nanda Firdausi Muhammad (email: nanda at i5 dot informatik dot rwth-aachen dot de), RWTH Aachen

  Help Us

If you would like to contribute a short report of your experiences with LM-DTM, report bugs, support the development of this project, or take on the development yourself, please contact Mohamed Amine Chatti.

 

Updated: 07.04.09
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