Intellectual Property India Publishes Patent Application for 'Machine Learning-Based Faculty Intervention Model For Student Stress Reduction And Academic Enhancement In Higher Education' Filed by Dr. Sushil Kumar; Dr. Poonam Punia; Dr. Jyotika Devi; Dr. Goldy Gupta; Dr. Manjeet Kumari; Ms. Nidhi Yadav; and Ms. Vandana

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611022756 A) filed by Dr. Sushil Kumar; Dr. Poonam Punia; Dr. Jyotika Devi; Dr. Goldy Gupta; Dr. Manjeet Kumari; Ms. Nidhi Yadav; and Ms. Vandana, Sonepat, Haryana, on Feb. 26, for 'machine learning-based faculty intervention model for student stress reduction and academic enhancement in higher education.'

Inventor(s) include Dr. Sushil Kumar; Dr. Poonam Punia; Dr. Jyotika Devi; Dr. Goldy Gupta; Dr. Manjeet Kumari; Ms. Nidhi Yadav; and Ms. Vandana.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to the development of a machine learning based faculty intervention model which addresses the students' stress issues while simultaneously enhancing their performance in higher learning institutions globally. The proposed model effectively employs learning analytics, psychological measures, and students' learning behavior data from learning management systems, surveys, and institutional records to address this emerging issue in higher learning institutions globally. Machine learning-based data analysis effectively identifies students who are likely to be stressed or whose performance is declining. On this basis, learning analytics and psychology-based recommendations are generated to inform faculty interventions such as mentoring approaches, learning management systems modifications, and provision of feedback systems to address students' stress issues while concurrently enhancing their performance in higher learning institutions globally. Experimental results for the proposed framework indicate that students' stress management is significantly enhanced to desirable levels, ensuring enhanced learning engagement and subsequent performance gains among students in higher learning institutions globally. The proposed framework is significantly effective for fostering holistic students' development for attaining sustainable academic excellence in higher learning institutions globally today."

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