Working with XML for Flexible Management of Online Course Syllabi

Cebecí, Zeynel; ., Fuat Budak; Tekdal, Mehmet

doi:10.3923/itj.2006.322.328

Cited by 1 publication

(1 citation statement)

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“…Thompson et al (2003) explored the use of class HMMs to generate classificatory meta‐data for a corpus of HTML syllabus documents collected by a web search engine. In order to avoid the problem of unstructured syllabus documents, some researches have been carried out on creation of metadata standards and schema for syllabus domain and development of software systems that allow faculty members/course developers to easily generate and publish structured syllabus documents using markup languages, such as XML (Cebeci et al , 2006; Ida et al , 2005).…”

Section: Challenges and Related Workmentioning

confidence: 99%

An automated syllabus digital library system for higher education in Ireland

Joorabchi

Mahdi

2009

The Electronic Library

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Purpose -With the significant growth in electronic education materials such as syllabus documents and lecture notes, available on the Internet and intranets, there is a need for robust central repositories of such materials to allow both educators and learners to conveniently share, search and access them. This paper reports on our work to develop a national repository for course syllabi in Ireland.Design/methodology/approach -The paper describes a prototype syllabus repository system for higher education in Ireland, which has been developed by utilising a number of information extraction and document classification techniques, including a new fully unsupervised document classification method that uses a web search engine for automatic collection of training set for the classification algorithm.Findings -Preliminary experimental results for evaluating the performance of the system and its various units, particularly the information extractor and the classifier, are presented and discussed.Originality/value -In this paper, we identify three major obstacles associated with creating a large-scale syllabus repository, and provide a comprehensive review of published research work related to addressing these problems. We also identify two different types of syllabus documents and describe a rule-based information extraction system capable of extracting structured information from unstructured syllabus documents. Finally, we highlight the importance of classifying resources in a syllabus digital library, introduce a number of standard education classification schemes, and describe our unsupervised automated document classification system which classifies syllabus documents based on an extended version of the International Standard Classification of Education (ISCED 1997).

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Section: Challenges and Related Workmentioning

confidence: 99%