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Learning Pattern Analysis: A Case Study of Moodle Learning Management System

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Recent Trends in Communication, Computing, and Electronics

Abstract

This paper presents the learning pattern analysis of online learning management system Moodle. The experimental work was carried out in Banaras Hindu University, India on the students of three years post graduate course on Computer Application. The comparative study has done on learning patterns of the students on tradition pedagogy with online pedagogy through the learning management system. The Moodle data analytics tool was used for the purpose of reporting students’ data. The results of students learning performance were compared and analyzed using t-test, content analysis and various other mining and analytics tools.

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References

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Acknowledgements

This research study has done on MCA students of Banaras Hindu University, Rajiv Gandhi South Campus, at Barkachha, Mirzapur, India. The authors express their acknowledgement to the Course Coordinator, MCA programme (Dr. Achintya Singhal); Head of the Department of Computer Science (Prof. S. Kartikeyan (current) and Prof. S. K. Basu (former)); Professor Incharge, Rajiv Gandhi South Campus (Prof. Saket Kushwaha (current) and Prof. R. P. Shukla (former)) for providing Computer Laboratory Infrastructure and other facilities for conducting research study. The author extends their acknowledgement to the participants MCA Students for their active participation and engagement for the study. The authors also thanks to the teachers and computer laboratory staffs for their help and supports.

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Correspondence to Rahul Chandra Kushwaha .

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Kushwaha, R.C., Singhal, A., Swain, S.K. (2019). Learning Pattern Analysis: A Case Study of Moodle Learning Management System. In: Khare, A., Tiwary, U., Sethi, I., Singh, N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524. Springer, Singapore. https://doi.org/10.1007/978-981-13-2685-1_45

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  • DOI: https://doi.org/10.1007/978-981-13-2685-1_45

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  • Print ISBN: 978-981-13-2684-4

  • Online ISBN: 978-981-13-2685-1

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