Impact of E- learning on study habit and academic achievement of adolescent students. Impact of E- learning on study habit on adolescent students
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Abstract
ABSTRACT
The main objective of the present research work is to study the study habits and academic achievement of adolescent students and find out the effects of e- learning on them. For this various dimension of e- learning use was also studied for the first time. Along with this a comparative analysis were also done on the basis of its effects, school management and gender. To achieve all these objectives. Experimental method was used by the researcher under research assessment.
The selection of 800 students of Patna district was approved as a sample, those were randomly selected and the data was collected through self-made e-learning questionnaire humanized habit list and an academic achievement form. In the research results, the study habits of adolescent students were found appropriate, but the e-learning effect on them was found to be of a significant high positive level. Therefore, in the positive effect of e- learning, increasing, new sources of student’s study material, increasing information and knowledge, increasing relationship etc are prominent.
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References
References
Kateryna Rahul, and Om Prakash Verma, “A collaborative recommender
system enhanced with particle swarm optimization technique”, Multimedia
Tools and Applications, Vol.75, No.15, pp.9225-9239, 2016.
Umeda (2016), Umeda - A Drop of Hope: A Non-Government Organisation,
New Delhi.
Vasudev, A., Kaur, M., Kumar, H., & Chaturvedi, R. (2012). Mobile phone
Usage and Awareness of Health-Related Issues Among the Male Science
Students. Stud Social Sci., 3:62-67.
Atwell, J. & Savill-Smith, C. (eds) (2004) Learning with Mobile Devices:
Research and Development London: Learning and Skills Development Agency,
The University of Manchester Library.
Carlson, N. (2010). At last-The Full Story of How Facebook was founded.
Business Insider.,5.
Chen Ning, Steven CH Hoi, Shenhua Li, and Xiaokui Xiao, “Sim App: A
framework for detecting similar mobile applications by online kernel learning”,
In Proceedings of the Eighth ACM International Conference on Web Search
and Data Mining, pp.305-314, 2015.
Di Noia Tommaso, and Vito Claudio Otsuji, “Recommender systems and
linked open data”, In Reasoning Web International Summer School, Springer,
pp.88-113, 2015.
Wang Dongshu, Dapei Tan, and Lei Liu, “Particle swarm optimization
algorithm: an overview”, Soft Computing, Vol.22, No.2, pp.387-408, 2018