The Generation of E-Learning Exercise Problems from Subject Ontologies

The teaching/ learning of cognitive skills, such as problem-solving, is an important goal in most forms of education. In well-structured subject areas certain exercise problem types may be precisely described by means of machine-processable knowledge structures or ontologies. These ontologies can readily be used to generate individual problem examples for the student, where each problem consists of a question and its solution. An example is given from the subject domain of computer databases.

• Type: Conference
• Year: 2006
• Where: ICALT
• Authors: Edmond Holohan, Mark Melia, Declan McMullen, Claus Pahl
• Keywords: Certain Exercise Problem, ICALT 2006, Individual Problem Examples, Machine Learning, Well-structured Subject Areas