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

Intelligent Database Systems Lab

Presenter : JHOU, YU-LIANG

Authors : Jae Hwa Lee, Aviv Segev

2012 CE

Knowledge maps for e-learning

Intelligent Database Systems Lab

Outlines

MotivationObjectivesModel structureExperimentsComments

Intelligent Database Systems Lab

Motivation

To build concept or knowledge maps requires manual effort of domain experts , but there are two drawbacks

1. The experts are hard to obtain.

2. The cost of map creation is high.

Intelligent Database Systems Lab

Objectives

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

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Text-based learnig - Drawback

1. The index usually contains hundreds of concepts listed in alphabetical order with no relational information between them.

2. if a document is complex or long, then a reader may find it difficult to recognize the important concepts and the relationships among them.

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K-map model -overview

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Model structure

Keyword extraction

Relation extraction

Relation labeling

Keyword extraction

Intelligent Database Systems Lab

Model structure

Keyword extraction

Relation extraction

Relation labeling

Relation extraction

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Experiment

• Recall of important sentences

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Experiment

• Recall of important sentences

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ExperimentLearning performance

• Recall of free recall test

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ExperimentLearning performance

• Comparison amount of non-related information

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Conclusion• The work presented a method for automatic creation

of knowledge map can help user learn.

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Comment• Advantage

The k-map can save the cost.

• Applications– Knowledge maps– E-learning