A computer-aided environment for generating multiple-choice test items
Natural Language Engineering
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HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
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Generating multiple-choice test items from medical text: a pilot study
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Automatic correction of grammatical errors in non-native english text
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This work uses Linked Open Data for the generation of educational assessment items. We describe the streamline to create variables and populate simple choice item models using the IMS-QTI standard. The generated items were then imported in an assessment platform. Five item models were tested. They allowed identifying the main challenges to improve the usability of Linked Data sources to support the generation of formative assessment items, in particular data quality issues and the identification of relevant sub-graphs for the generation of item variables.