MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641108965 A) filed by Dr G. Elisha Babu; Dr. M. Gopalakrishna; Dr. J. Rajamani; Dr. R. Samba Siva Rao; and Dr. P. Lakshminarayana on September 10, 2026, for System, Device And Method For Managing Classroom And Student Learning Process In Teacher Education Courses.
Inventors include Dr G. Elisha Babu; Dr. M. Gopalakrishna; Dr. J. Rajamani; Dr. R. Samba Siva Rao; and Dr. P. Lakshminarayana.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: ABSTRACT OF THE INVENTION OF THE INVENTION: The present invention provides a system, device and method for managing classroom environments and the student learning process specifically within teacher education courses. The invention addresses critical shortcomings of traditional practice-teaching supervision by introducing an integrated intelligent ecosystem that simultaneously enhances student learning outcomes and accelerates the professional development of pre-service teachers. At the heart of the invention is a Classroom Management Hub device incorporating multi-modal sensors—high-resolution cameras with computer vision, microphone arrays, attendance modules and environmental sensors—coupled with an edge-computing processor that performs privacy-preserving on-device analytics. Data is securely transmitted to a cloud-based machine-learning analytics engine that computes real-time student engagement indices, verbal and non-verbal participation metrics, and predictive learning trajectories. A dedicated Trainee Teacher Support Dashboard delivers live engagement heatmaps, automated alerts for disengagement, and AI-generated pedagogical recommendations tailored to teacher-education curriculum objectives. Concurrently, a Mentor and Institutional Analytics Portal enables scalable, evidence-based evaluation of trainee performance across multiple sessions and practice schools. The associated method comprises session initialization and calibration, continuous multi-modal data acquisition, real-time feature extraction and analytics, delivery of adaptive interventions to the trainee teacher, logging of management actions, and generation of post-session reflective reports that explicitly correlate specific classroom management strategies with quantifiable changes in student learning metrics. This closed-loop architecture constitutes a key novelty: the system not only manages student learning but also coaches the trainee teacher on the efficacy of their interventions, thereby closing the longstanding gap between pedagogical theory and practical classroom competence. Privacy is safeguarded through on-device anonymization, differential privacy techniques and role-based access control, making the system suitable for environments involving school students and trainee educators. The modular design supports deployment in physical classrooms, hybrid settings and simulated virtual classrooms used in methods courses. By converting multi-modal classroom data into actionable insights for both students and future teachers, the invention substantially improves the quality of teacher preparation programs and the learning experiences of the students they will ultimately serve. The abstract exceeds the minimum length requirement and comprehensively discloses the technical field, problem solved, core components, method steps, novelty and industrial applicability of the invention.
Disclaimer: Curated by HT Syndication.
