Company:E-khool LMS

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e-khool LMS
TypePrivate
IndustryEdtech
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/

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.

History

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

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

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

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

Awards

The e-khool LMS software was named in the 20 Most Promising Elearning Solution Providers - 2020 by CioReviewIndia[10].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

  1. ↑ "e-khool LMS". https://ekhool.com/. 
  2. ↑ Rathi, Snehal R.; Deshpande, Yogesh D. (2022-03-11). "Course complexity in engineering education using E-learner's affective-state prediction" (in en). Kybernetes 52 (9): 3197–3222. doi:10.1108/K-09-2021-0806. ISSN 0368-492X. https://www.emerald.com/insight/content/doi/10.1108/K-09-2021-0806/full/html. 
  3. ↑ "Resbee Info Technologies Private Limited Information - Resbee Info Technologies Private Limited Company Profile, Resbee Info Technologies Private Limited News on The Economic Times" (in en). https://economictimes.indiatimes.com/company/. 
  4. ↑ Binu, D.; Rajakumar, B. R. (2021-02-17) (in en). Artificial Intelligence in Data Mining: Theories and Applications. Academic Press. ISBN 978-0-12-820616-4. https://books.google.com/books?id=0ugGEAAAQBAJ&dq=books+binu+ekhool&pg=PA258. 
  5. ↑ Alzubi, Ahmad (March 2022). "Learner performance prediction in the e-learning platform using the optimized deep long short-term memory classifier" (in en). International Journal of Wavelets, Multiresolution and Information Processing 20 (2): 2150051. doi:10.1142/S021969132150051X. ISSN 0219-6913. https://www.worldscientific.com/doi/abs/10.1142/S021969132150051X. 
  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. http://dx.doi.org/10.1142/s0219649222500411. 
  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" (in en). Expert Systems 38 (3). doi:10.1111/exsy.12663. ISSN 0266-4720. https://onlinelibrary.wiley.com/doi/10.1111/exsy.12663. 
  9. ↑ A., Pandiaraj; C., Sundar; S., Pavalarajan (2022-01-05). "Sentiment analysis on newspaper article reviews: contribution towards improved rider optimization-based hybrid classifier" (in en). Kybernetes 51 (1): 348–382. doi:10.1108/K-08-2020-0512. ISSN 0368-492X. https://www.emerald.com/insight/content/doi/10.1108/K-08-2020-0512/full/html. 
  10. ↑ "20 Most Promising Elearning and Gamification Solution Providers - 2020 | Vendors". https://education.ciotechoutlook.com/vendors/2020/1. 
  11. ↑ "Online Coaching Software Market Size | Demand Analysis & Opportunity Outlook 2030". https://www.researchnester.com/reports/online-coaching-software-market/3628. 
  12. ↑ Raibagi, Kashyap (2022-10-06). "20 Hottest AI Startups In India 2022" (in en-US). https://analyticsindiamag.com/20-hottest-ai-startups-in-india-2022/. 
  13. ↑ "Top 20 Best Innovative AI startups in India in 2023" (in en-US). 2023-02-12. https://viestories.com/top-20-best-innovative-ai-startups-in-india-in-2023/. 



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