Wikipedia

E-khool LMS

e-khool LMS [1] is a learning management system designed for online engineering education [2] and schools. The system is hosted on Amazon AWS, and is designed to meet North American security standards.[citation needed]

e-khool LMS
Company typePrivate
IndustryEdtech
Founded13 January 2016; 8 years ago (13 January 2016)
FounderBinu Dennis and B R Rajakumar
Area served
Worldwide
ServicesLearning Management System
ParentResbee Info Technologies (P) Ltd
SubsidiariesMAAZTER Learning App
Websiteekhool.com

History

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Resbee Info Technologies (P) Ltd is an Indian IT company,[3] operating from the year of 2016. Resbee develops an advanced e-learning product, named as e-khool LMS software,[4] to satisfy the learning requirements of universities, industries, academic institutions and students. In 2017, e-khool LMS platform is served as SaaS subscription model and platform is hosted under AWS architecture for scalable solution. In 2020, AI based functionalities strengthened the e-khool LMS software for customized delivery of the learning experiences.

Research

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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,[5] course recommendation,[6][7] learner privacy [8] and learner sentiment analysis.[9]

Patents

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The e-khool LMS system is AI-based learning platform with several patents:

IN application 201941041633, Binu Dennis & Rajakumar B.R, "Emotion based LMS for Certified expert identification and device access control"  IN application 201941040679, Binu Dennis & Rajakumar B.R, "Electronic documentation of live lectures for smart classrooms"  IN application 201941034801, Binu Dennis & Rajakumar B.R, "On-Device malware app protector"  IN application 201941035325, Binu Dennis & Rajakumar B.R, "A Novel Overlap CAPTCHA for online security system"  IN application 201941002437, Binu Dennis & Rajakumar B.R, "Face and Emotion based locker security system"  IN application 201941035203, Binu Dennis & Rajakumar B.R, "System for IoT device authentication"  and e-khool LMS is adaptable for most of the industries and academic institutions all over the world.

Awards

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The e-khool LMS software was named in the 20 Most Promising Elearning Solution Providers - 2020 by CioReviewIndia.[10][failed verification] The system is listed under Top Featured Companies Dominating the Market by Research Nester.[11] In 2022, e-khool LMS was listed as one of the top 20 Hottest AI Startups In India 2022 by Analytics India Magazine.[12] In 2023, viestories also praises the LMS software by listing under Top 20 Best Innovative AI startups in India in 2023.[13]

References

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  1. ^ "e-khool LMS".
  2. ^ Rathi, Snehal R.; Deshpande, Yogesh D. (2022-03-11). "Course complexity in engineering education using E-learner's affective-state prediction". Kybernetes. 52 (9): 3197–3222. doi:10.1108/K-09-2021-0806. ISSN 0368-492X. S2CID 247395048.
  3. ^ "Resbee Info Technologies Private Limited Information - Resbee Info Technologies Private Limited Company Profile, Resbee Info Technologies Private Limited News on The Economic Times". The Economic Times. Archived from the original on 2019-05-08. Retrieved 2023-03-23.
  4. ^ Binu, D.; Rajakumar, B. R. (2021-02-17). Artificial Intelligence in Data Mining: Theories and Applications. Academic Press. ISBN 978-0-12-820616-4.
  5. ^ 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.
  6. ^ 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.
  7. ^ 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.
  8. ^ 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.
  9. ^ 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.
  10. ^ "20 Most Promising Elearning and Gamification Solution Providers - 2020 | Vendors". education.ciotechoutlook.com. Retrieved 2023-03-23.
  11. ^ "Online Coaching Software Market Size | Demand Analysis & Opportunity Outlook 2030". www.researchnester.com. Retrieved 2023-03-23.
  12. ^ Raibagi, Kashyap (2022-10-06). "20 Hottest AI Startups In India 2022". Analytics India Magazine. Retrieved 2023-03-23.
  13. ^ "Top 20 Best Innovative AI startups in India in 2023". 2023-02-12. Retrieved 2023-03-23.
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