E-khool LMS

Last updated
e-khool LMS
Company typePrivate
IndustryEdtech
Founded13 January 2016;9 years ago (13 January 2016)
FounderBinu Dennis and B R Rajakumar
Area served
Worldwide
ServicesLearning Management System
Parent Resbee Info Technologies (P) Ltd
Subsidiaries MAAZTER Learning App
Website 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, kand is designed to meet North American security standards.[ citation needed ]

Contents

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:

INapplication 201941041633,Binu Dennis&Rajakumar B.R,"Emotion based LMS for Certified expert identification and device access control"  INapplication 201941040679,Binu Dennis&Rajakumar B.R,"Electronic documentation of live lectures for smart classrooms"  INapplication 201941034801,Binu Dennis&Rajakumar B.R,"On-Device malware app protector"  INapplication 201941035325,Binu Dennis&Rajakumar B.R,"A Novel Overlap CAPTCHA for online security system"  INapplication 201941002437,Binu Dennis&Rajakumar B.R,"Face and Emotion based locker security system"  INapplication 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

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

References

  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. Raibagi, Kashyap (2022-10-06). "20 Hottest AI Startups In India 2022". Analytics India Magazine. Retrieved 2023-03-23.
  12. "Top 20 Best Innovative AI startups in India in 2023". 2023-02-12. Retrieved 2023-03-23.