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International Journal of Scientific & Technology Research

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IJSTR >> Volume 8 - Issue 11, November 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Sentiment Mining For Technical Students Of Effective Learning

[Full Text]

 

AUTHOR(S)

Sanjay Singh Bhadoria

 

KEYWORDS

Educational Datamining (EDM), Learning Analytics (LA), Technology enhanced learning (TEL), Inquiry based learning (IBL)

 

ABSTRACT

Educational Datamining (EDM) has inspired the development of innovative approaches and improvements in instructional settings. The Vast Array of practice and research in this area has enforced significant possibilities and software out of personalization and adaptation Design and pedagogy decisions centered on students' needs. Learning Analytics (LA) and EDM play with an important Role in improving learning procedures by offering advanced software of analytics Techniques. This also Results in the understanding discovery regarding the learning procedures, and advancement and integration of personalized, flexible, and interactive informative surroundings. Technology enhanced learning (TEL) surrounds to boost the information and abilities of students. Inquiry based learning (IBL) targets contexts where students are intended to detect knowledge as opposed to passively memorizing the theories it eases learning and improve learning accomplishments of the students.

 

REFERENCES

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