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

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

doi:10.1109/SKIMA.2014.7083515

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

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

School of Computing, Engineering and Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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 language	English
Title of host publication	8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Print)	9781479963997
DOIs	https://doi.org/10.1109/SKIMA.2014.7083515
Publication status	Published - 2014

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SKIMA.2014.7083515

Cite this

@inproceedings{fc2e4901fe064a839e17bfd258affbf5,

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",

year = "2014",

doi = "10.1109/SKIMA.2014.7083515",

language = "English",

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pages = "1--5",

booktitle = "8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Web mining to generate multimodal learning materials for children with special needs

AU - Wagley, A.

AU - Bhuiyan, M.

AU - Akhter, P.

AU - Dahal, K.

AU - Hossain, A.

PY - 2014

Y1 - 2014

N2 - 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.

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.

KW - application program interfaces

KW - computer aided instruction

KW - data mining

KW - handicapped aids

KW - information filtering

KW - search engines

KW - text analysis

KW - Internet sources

KW - URL filtering

KW - Uniform Resource Locator filtering

KW - Web content analysis based filtering method

KW - Web mining scheme

KW - application programme interface

KW - co-occurrence distribution

KW - domain filtering

KW - ethnographic method

KW - frequent terms

KW - image search

KW - keyword extraction

KW - multimodal element search

KW - multimodal learning material generation

KW - plain text

KW - search engine API

KW - search operation

KW - sentence terms

KW - similar story search

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KW - special needs teacher

KW - text search

KW - unwanted material removal

KW - video clip search

KW - word co-occurrence method

KW - Accuracy

KW - Education

KW - Information filters

KW - Internet

KW - Multimedia communication

KW - Documents classification

KW - Filtering

KW - Keywords extraction

KW - Multimodal learning material

KW - Text processing

U2 - 10.1109/SKIMA.2014.7083515

DO - 10.1109/SKIMA.2014.7083515

M3 - Conference contribution

SN - 9781479963997

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EP - 5

BT - 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014

PB - IEEE

ER -

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

Abstract

Keywords

UN SDGs

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Cite this