E-khool LMS

e-khool LMS
Type	Private
Industry	Edtech
Founded	13-01-2016
Founder	Binu Dennis and B R Rajakumar
Area served	Worldwide
Services	Learning Management System
Parent	Resbee Info Technologies (P) Ltd
Subsidiaries	MAAZTER Learning App
Website	https://ekhool.com/

e-khool LMS[1] is a learning management system suitable for online engineering education [2] and schools.

Research

e-khool LMS is used by educational researchers to conduct their research using this online learning platform. The data associated with the e-khool LMS is utilized by them for learner performance prediction,[3] course recommendation,[4][5] learner privacy [6] and learner sentimental analysis.[7]

References

"e-khool LMS".{{cite web}}: CS1 maint: url-status (link)
Rathi, Snehal R.; Deshpande, Yogesh D. (2022-03-11). "Course complexity in engineering education using E-learner's affective-state prediction". Kybernetes. ahead-of-print (ahead-of-print). doi:10.1108/K-09-2021-0806. ISSN 0368-492X. S2CID 247395048.
Alzubi, Ahmad (March 2022). "Learner performance prediction in the e-learning platform using the optimized deep long short-term memory classifier". International Journal of Wavelets, Multiresolution and Information Processing. 20 (2): 2150051. doi:10.1142/S021969132150051X. ISSN 0219-6913. S2CID 243854878.
Vijaya, P.; Selvi, M. (2022-05-30). "An Approach Using E-Khool User Log Data for E-Learning Recommendation System". Journal of Information & Knowledge Management. 21 (3). doi:10.1142/s0219649222500411. ISSN 0219-6492. S2CID 249262545.
Banbhrani, Santosh Kumar; Xu, Bo; Lin, Hongfei; Sajnani, Dileep Kumar (2022-04-19). "Taylor-ChOA: Taylor-Chimp Optimized Random Multimodal Deep Learning-Based Sentiment Classification Model for Course Recommendation". Mathematics. 10 (9): 1354. doi:10.3390/math10091354. ISSN 2227-7390.
Shivashankar, Mohana; Mary, Sahaaya Arul (May 2021). "Privacy preservation of data using modified rider optimization algorithm: Optimal data sanitization and restoration model". Expert Systems. 38 (3). doi:10.1111/exsy.12663. ISSN 0266-4720. S2CID 233433366.
A., Pandiaraj; C., Sundar; S., Pavalarajan (2022-01-05). "Sentiment analysis on newspaper article reviews: contribution towards improved rider optimization-based hybrid classifier". Kybernetes. 51 (1): 348–382. doi:10.1108/K-08-2020-0512. ISSN 0368-492X. S2CID 233647104.

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[1] "e-khool LMS".{{cite web}}: CS1 maint: url-status (link)

[2] Rathi, Snehal R.; Deshpande, Yogesh D. (2022-03-11). "Course complexity in engineering education using E-learner's affective-state prediction". Kybernetes. ahead-of-print (ahead-of-print). doi:10.1108/K-09-2021-0806. ISSN 0368-492X. S2CID 247395048.

[3] Alzubi, Ahmad (March 2022). "Learner performance prediction in the e-learning platform using the optimized deep long short-term memory classifier". International Journal of Wavelets, Multiresolution and Information Processing. 20 (2): 2150051. doi:10.1142/S021969132150051X. ISSN 0219-6913. S2CID 243854878.

[4] Vijaya, P.; Selvi, M. (2022-05-30). "An Approach Using E-Khool User Log Data for E-Learning Recommendation System". Journal of Information & Knowledge Management. 21 (3). doi:10.1142/s0219649222500411. ISSN 0219-6492. S2CID 249262545.

[5] Banbhrani, Santosh Kumar; Xu, Bo; Lin, Hongfei; Sajnani, Dileep Kumar (2022-04-19). "Taylor-ChOA: Taylor-Chimp Optimized Random Multimodal Deep Learning-Based Sentiment Classification Model for Course Recommendation". Mathematics. 10 (9): 1354. doi:10.3390/math10091354. ISSN 2227-7390.

[6] Shivashankar, Mohana; Mary, Sahaaya Arul (May 2021). "Privacy preservation of data using modified rider optimization algorithm: Optimal data sanitization and restoration model". Expert Systems. 38 (3). doi:10.1111/exsy.12663. ISSN 0266-4720. S2CID 233433366.

[7] A., Pandiaraj; C., Sundar; S., Pavalarajan (2022-01-05). "Sentiment analysis on newspaper article reviews: contribution towards improved rider optimization-based hybrid classifier". Kybernetes. 51 (1): 348–382. doi:10.1108/K-08-2020-0512. ISSN 0368-492X. S2CID 233647104.