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Presenter : JHOU, YU-LIANG Authors : Jae Hwa Lee, Aviv Segev 2012 CE

Knowledge maps for e-learning. Presenter : JHOU, YU-LIANG Authors : Jae Hwa Lee, Aviv Segev 2012 CE. Outlines. Motivation Objectives Model structure Experiments Comments. Motivation.

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Presenter : JHOU, YU-LIANG Authors : Jae Hwa Lee, Aviv Segev 2012 CE

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  1. Knowledge maps for e-learning Presenter : JHOU, YU-LIANGAuthors : Jae Hwa Lee, Aviv Segev2012 CE

  2. Outlines • Motivation • Objectives • Model structure • Experiments • Comments

  3. Motivation • To build concept or knowledge maps requires manual effort of domain experts , but there are two drawbacks • The experts are hard to obtain. • The cost of map creation is high.

  4. Objectives • In this paper, was made to automatically build a domain knowledge map for e-learning.

  5. Text-based learnig - Drawback • The index usually contains hundreds of concepts listed in alphabetical order with no relational information between them. • if a document is complex or long, then a reader may find it difficult to recognize the important concepts and the relationships among them.

  6. K-map model -overview

  7. Model structure Keyword extraction

  8. Model structure • Relation extraction

  9. Experiment • Recall of important sentences

  10. Experiment • Recall of important sentences

  11. ExperimentLearning performance • Recall of free recall test

  12. ExperimentLearning performance • Comparison amount of non-related information

  13. Conclusion • The work presented a method for automatic creation of knowledge map can help user learn.

  14. Comment • Advantage The k-map can save the cost. • Applications • Knowledge maps • E-learning

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