International Business Machines had 13 patents in edtech during Q4 2023. IBM Corp filed patents in Q4 2023 for systems and methods related to enhancing language learning through video-based content, personalized reading assistance using visual modifications, and learning a secondary language through content translation. These inventions involve monitoring user gaze on digital teaching content, generating best-practices recommendations based on virtual session data, and modifying subtitles in multimedia files to aid in language learning. GlobalData’s report on International Business Machines gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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International Business Machines grant share with edtech as a theme is 23% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Dynamically updating digital visual content via aggregated feedback (Patent ID: US20230410671A1)
The patent filed by IBM describes a computer-implemented method and system for monitoring user gaze on digital teaching content to enhance learning experiences. The method involves receiving digital teaching content and content heuristics, monitoring user gaze by detecting reflections of light from the eyes, and skipping or modifying content items based on the gaze patterns and heuristics. The system includes a data processing system with memory and a processor to perform these operations, including cognitive skipping and modifying of content items based on user gaze and heuristics, as well as using machine learning to improve the process.
Overall, the patent focuses on leveraging user gaze data to optimize digital teaching content by skipping or modifying content items based on cognitive analysis. The method involves tracking gaze time on different content zones, building heat maps from gaze points, and using machine learning to enhance the skipping and modifying process. The system is designed to improve learning outcomes by tailoring content based on user attention and engagement levels, ultimately enhancing the effectiveness of digital teaching materials.
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