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E-khool LMS

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This is an old revision of this page, as edited by Vinolinvincentraj (talk | contribs) at 11:33, 29 June 2022 (Added more information in infobox). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

e-khool LMS[1] is a learning management system suitable for online engineering education [2] and Schools. e-khool LMS is listed under 16 Best Learning Management Systems (LMS) by TechJockey [3] because of the wide applicability of the software in schools, universities and corporates.

e-khool LMS
Company typeEduTech
Founded13-01-2016
FounderBinu Dennis and B R Rajakumar
Area served
Worldwide
ServicesLearning Management System
ParentResbee Info Technologies (P) Ltd
SubsidiariesMAAZTER Learning App
Websitehttps://ekhool.com/

Research

e-khool LMS is effectively used by the 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,[4] Course recommendation,[5][6] Learner privacy,[7] Learner sentimental analysis.[8]

References

  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. ^ "Best Learning Management Systems (LMS) in 2022". Techjockey.com Blog. 2020-04-18. Retrieved 2022-06-15.
  4. ^ 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 (02): 2150051. doi:10.1142/S021969132150051X. ISSN 0219-6913.
  5. ^ 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. doi:10.1142/s0219649222500411. ISSN 0219-6492.
  6. ^ 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.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  7. ^ 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.
  8. ^ 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.