A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Effects of complex feedback on computer-assisted modular instruction
Computers & Education - Special section on multimedia in engineering education
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
A Semantic Web Primer
The nature, reception, and use of online peer feedback in higher education
Computers & Education
Using online annotations to support error correction and corrective feedback
Computers & Education
A computational model for developing semantic web-based educational systems
Knowledge-Based Systems
Automatic summary assessment for intelligent tutoring systems
Computers & Education
Quality enhancement for e-learning courses: The role of student feedback
Computers & Education
The Knowledge Engineering Review
A model of organizational employees' e-learning systems acceptance
Knowledge-Based Systems
Semantic Web Technologies for supporting learning assessment
Information Sciences: an International Journal
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Feedback is an important component of assessment in learning environments, because it constitutes a new learning opportunity which is not usually available in most eLearning systems. Feedback allows students to know their learning flaws and helps teachers to design learning contents adapted to the needs of the students. Semantic Web technologies have been applied in recent years with different purposes in Education, but their applications for generating useful feedback have not been researched enough so far. In this paper we present an approach for generating feedback to open questions in assessment tests, by making use of ontologies and semantic annotations. The feedback is generated by obtaining the semantic similarity between the annotations associated with both questions and students' answers. The method has been implemented as an extension of our online assessment platform. Its application in a real course is also presented and discussed here.