MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202541115028 A) filed by Dr. Vanitha L; and S. A. Engineering College, Chennai, Tamil Nadu, on Nov. 21, 2025, for 'iot-enabled personalized lab instruction system based on psychological learning styles for engineering education.'
Inventor(s) include Dr. Vanitha L.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an IoT-enabled personalized laboratory instruction system that integrates psychological learning style theory with artificial intelligence (Al) and sensor-based adaptive control to enhance student learning outcomes in engineering education. The system utilizes the VARK model of learning styles-Visual, Auditory, Read/Write, and 21-Nov-2025/119847/202541115028/Form 2(Title Page) Kinesthetic-to identify and respond to individual learner preferences during laboratory sessions. An IoT-based sensor network embedded within the learning environment acquires behavioral, physiological, and environmental parameters such as motion, speech activity, gaze focus, and task engagement. These data are transmitted to an Al-driven classification module that determines the dominant learning style and current engagement level of each student. The adaptive instruction engine then delivers personalized laboratory guidance in the most suitable format: graphical and animated explanations for visual learners, voice-assisted narration for auditory learners, textual or procedural notes for read/write learners, and interactive simulations or hands-on prompts for kinesthetic learners. The system continuously monitors student response and dynamically refines instructional delivery through a feedback mechanism that combines machine-learning inference and psychological engagement modeling. The integrated design reduces instructional rigidity, promotes cognitive engagement, and improves concept retention, particularly in practical engineering courses that demand active participation. The invention's novelty resides in fusing psychological learning-style assessment, loT sensor intelligence, and Al-based adaptive learning control into a unified smart education platform. It enables real-time customization of laboratory content without manual intervention, ensuring inclusivity for diverse learners. The system can be implemented using a microcontroller-based IoT interface linked to a cloud analytics engine and can interoperate with existing e-leaming management systems. This invention thus provides a smart, student-centric, and emotion-aware learning environment bridging psychology, computer science, and IoT for next-generation engineering education."
Disclaimer: Curated by HT Syndication.
