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.

Intelligent Database Systems Lab

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.

Intelligent Database Systems Lab

K-map model -overview

Intelligent Database Systems Lab

Model structure

Keyword extraction

Relation extraction

Relation labeling

Keyword extraction

Intelligent Database Systems Lab

Model structure

Keyword extraction

Relation extraction

Relation labeling

Relation extraction

Intelligent Database Systems Lab

Experiment

• Recall of important sentences

Intelligent Database Systems Lab

Experiment

• Recall of important sentences

Intelligent Database Systems Lab

ExperimentLearning performance

• Recall of free recall test

Intelligent Database Systems Lab

ExperimentLearning performance

• Comparison amount of non-related information

Intelligent Database Systems Lab

Conclusion• The work presented a method for automatic creation

of knowledge map can help user learn.

Intelligent Database Systems Lab

Comment• Advantage

The k-map can save the cost.

• Applications– Knowledge maps– E-learning