Title: Automatic question generation from documents for e-learning

Authors: K. Sathiyamurthy; T.V. Geetha

Addresses: Department of Computer Science and Engineering, Anna University, Chennai 600025, India ' Department of Computer Science and Engineering, Anna University, Chennai 600025, India

Abstract: Question generation is an important module for e-learning systems. The task of manually extracting questions for each concept according to the cognitive level of the learner is a tiresome job. Automatic extraction of questions from documents for e-learning could simplify the task of assessing the students knowledge on the subject through questions that cover all the concepts learnt and of varying difficulty. To assess students according to their learning mental ability, questions in this work are matched with different levels of Blooms taxonomy. The generated questions are evaluated based on question evaluation metric and with the proposed domain and topic coverage measure.

Keywords: Blooms taxonomy; ontology; LDA; latent Dirichlet allocation; question generation; e-learning; electronic learning; online learning; cognitive levels; student assessment.

DOI: 10.1504/IJMSO.2012.048506

International Journal of Metadata, Semantics and Ontologies, 2012 Vol.7 No.1, pp.16 - 24

Received: 04 Jan 2011
Accepted: 10 Jan 2012
Published online: 31 Dec 2014 *

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