UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 7
July-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1507012


Registration ID:
150703

Page Number

3052-3055

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Title

Mining Data for Analyzing Student's Learning - A Survey

Abstract

Social media provide a range of opportunities for understanding human behaviour through the large aggregate data sets that their operation collects. Data Mining is very useful in the field of education especially when examining students learning behaviour in online learning environment. Student’s casual conversations on social media show the educational experiences, opinions, feelings and concern about the learning process. The data extracted from the social media provide valuable knowledge to inform student learning experience about how they positively taking the education and what are the benefits they gain from the education and what are their problems and issues.

Key Words

web mining, learning analytics and knowledge, educational data mining, sentiment analysis.

Cite This Article

"Mining Data for Analyzing Student's Learning - A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 7, page no.3052-3055, July-2015, Available :http://www.jetir.org/papers/JETIR1507012.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Mining Data for Analyzing Student's Learning - A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 7, page no. pp3052-3055, July-2015, Available at : http://www.jetir.org/papers/JETIR1507012.pdf

Publication Details

Published Paper ID: JETIR1507012
Registration ID: 150703
Published In: Volume 2 | Issue 7 | Year July-2015
DOI (Digital Object Identifier):
Page No: 3052-3055
Country: TVM, KERALA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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