Web mining to generate multimodal learning materials for children with special needs

A. Wagley, M. Bhuiyan, P. Akhter, K. Dahal, A. Hossain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Developing a Web mining scheme that takes plain text (for example, a paragraph of a story) as an input to generate multimodal learning materials from the Internet sources could be of great help to both teachers and children with special needs. This paper proposes a solution which at first extracts the keywords from the plain text provided using word co-occurrences method. The co-occurrence distribution between frequent terms and other terms in a sentence are used to define the relative importance of a term. Thus extracted keywords are used to search for the multimodal elements (texts, images and video clips) and other similar stories through search engine APIs (Application Programme Interface). After the search operation, URL (Uniform Resource Locator) filtering, domain filtering and Web content analysis based filtering methods are used to remove unwanted materials. The proposed scheme has been implemented, tested and verified by children through ethnographic method to demonstrate the merits and capabilities in generating multimodal learning. Results show that the proposed scheme offers on average of about 80% accuracy for learning material generation.
Original languageEnglish
Title of host publication8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Print)9781479963997
DOIs
Publication statusPublished - 2014

Fingerprint

Search engines
Application programs
World Wide Web
Interfaces (computer)
Websites
Internet

Keywords

  • application program interfaces
  • computer aided instruction
  • data mining
  • handicapped aids
  • information filtering
  • search engines
  • text analysis
  • Internet sources
  • URL filtering
  • Uniform Resource Locator filtering
  • Web content analysis based filtering method
  • Web mining scheme
  • application programme interface
  • co-occurrence distribution
  • domain filtering
  • ethnographic method
  • frequent terms
  • image search
  • keyword extraction
  • multimodal element search
  • multimodal learning material generation
  • plain text
  • search engine API
  • search operation
  • sentence terms
  • similar story search
  • special needs children
  • special needs teacher
  • text search
  • unwanted material removal
  • video clip search
  • word co-occurrence method
  • Accuracy
  • Education
  • Information filters
  • Internet
  • Multimedia communication
  • Documents classification
  • Filtering
  • Keywords extraction
  • Multimodal learning material
  • Text processing

Cite this

Wagley, A., Bhuiyan, M., Akhter, P., Dahal, K., & Hossain, A. (2014). Web mining to generate multimodal learning materials for children with special needs. In 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014 (pp. 1-5). IEEE. https://doi.org/10.1109/SKIMA.2014.7083515
Wagley, A. ; Bhuiyan, M. ; Akhter, P. ; Dahal, K. ; Hossain, A. / Web mining to generate multimodal learning materials for children with special needs. 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014 . IEEE, 2014. pp. 1-5
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title = "Web mining to generate multimodal learning materials for children with special needs",
abstract = "Developing a Web mining scheme that takes plain text (for example, a paragraph of a story) as an input to generate multimodal learning materials from the Internet sources could be of great help to both teachers and children with special needs. This paper proposes a solution which at first extracts the keywords from the plain text provided using word co-occurrences method. The co-occurrence distribution between frequent terms and other terms in a sentence are used to define the relative importance of a term. Thus extracted keywords are used to search for the multimodal elements (texts, images and video clips) and other similar stories through search engine APIs (Application Programme Interface). After the search operation, URL (Uniform Resource Locator) filtering, domain filtering and Web content analysis based filtering methods are used to remove unwanted materials. The proposed scheme has been implemented, tested and verified by children through ethnographic method to demonstrate the merits and capabilities in generating multimodal learning. Results show that the proposed scheme offers on average of about 80{\%} accuracy for learning material generation.",
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author = "A. Wagley and M. Bhuiyan and P. Akhter and K. Dahal and A. Hossain",
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language = "English",
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}

Wagley, A, Bhuiyan, M, Akhter, P, Dahal, K & Hossain, A 2014, Web mining to generate multimodal learning materials for children with special needs. in 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014 . IEEE, pp. 1-5. https://doi.org/10.1109/SKIMA.2014.7083515

Web mining to generate multimodal learning materials for children with special needs. / Wagley, A.; Bhuiyan, M.; Akhter, P.; Dahal, K.; Hossain, A.

8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014 . IEEE, 2014. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Developing a Web mining scheme that takes plain text (for example, a paragraph of a story) as an input to generate multimodal learning materials from the Internet sources could be of great help to both teachers and children with special needs. This paper proposes a solution which at first extracts the keywords from the plain text provided using word co-occurrences method. The co-occurrence distribution between frequent terms and other terms in a sentence are used to define the relative importance of a term. Thus extracted keywords are used to search for the multimodal elements (texts, images and video clips) and other similar stories through search engine APIs (Application Programme Interface). After the search operation, URL (Uniform Resource Locator) filtering, domain filtering and Web content analysis based filtering methods are used to remove unwanted materials. The proposed scheme has been implemented, tested and verified by children through ethnographic method to demonstrate the merits and capabilities in generating multimodal learning. Results show that the proposed scheme offers on average of about 80% accuracy for learning material generation.

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Wagley A, Bhuiyan M, Akhter P, Dahal K, Hossain A. Web mining to generate multimodal learning materials for children with special needs. In 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014 . IEEE. 2014. p. 1-5 https://doi.org/10.1109/SKIMA.2014.7083515