Conference Proceedings

International Conference on Advances in Computer and Information Technology - ACIT 2013

Adoption of Bloom Taxonomy in Automated Question Answering in E-Learning System



At present, with the growing demand of knowledge economy, fast popularization and development of the World Wide Web, a lot of people are turning to e-learning via web particularly in educational institutions. There are plenty of e-learning systems nowadays and these systems provide functionalities ranging from some simple tools to manage and search a lot of teaching materials to knowledge sharing through online forum discussion. While the online forum discussion promotes exchanging ideas between instructors and students, however due to the job demand of instructors at their workplace and at times being away from their workplace would often result in responses to the students’ questions were not being responded in time. To address the problem, automated response systems in forum discussion have been developed where the system would take the responsibility to respond to questions posed by student in forum discussion in the absence of instructors thus reducing the workload of instructors significantly. Despite some research work has been revolved around automated response system in forum discussion in e-learning system, the extent to which the depth of responses or knowledgein accordance to Blooms taxonomy has not been fully explored. Equally important, besides matching keywords of questions to generate responses is the ability to provide adequate details of knowledge to a particular question in the order of depth of knowledge in the context of Blooms taxonomy.This paper will highlight an integrated approach to extract relevant knowledge in accordance to Blooms taxonomy from learning materials particularly in forum discussions (software forum threads) in response to questions posed by learners.As a result, an enhanced architectureof question and answering system in the context of forumdiscussion would be proposed. Also will be discussed are the technologies such as text mining, data mining and artificial intelligence to accomplish the proposed tasks. On completing the suggestedtasks, a more intelligent automatedresponse system in accordance to Bloom taxonomy can be produced.

Conference Title : International Conference on Advances in Computer and Information Technology - ACIT 2013
Conference Date(s) : May 04-05, 2013
Place : Hotel Shangri-La, Kuala Lumpur, Malaysia
No fo Author(s) : 4
DOI : 10.15224/978-981-07-6261-2-24
Page(s) : 110 - 114
Electronic ISBN : 978-981-07-6261-2
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