Microsoft had six patents in edtech during Q1 2024. Microsoft Corp’s patent filed in Q1 2024 introduces a personalized data feed with progress indicators for goal-related action items, helping users achieve their objectives. The feed includes goal-related progress indicators, per-item progress indicators, and visual augmentations to identify items that assist in achieving personalized goals, motivating user interaction and providing a measure of potential benefits. GlobalData’s report on Microsoft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Microsoft grant share with edtech as a theme is 16% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data feed interaction incentivization system using gamification tools (Patent ID: US20240062674A1)
The patent filed by Microsoft Corp. describes a system and method for providing a personalized data feed that includes progress indicators associated with goal-related action items to help users achieve personalized objectives. The system generates visual augmentations and progress indicators within the data feed to show a user's progress towards completing a goal, as well as predicted progress if specific items are completed. This motivates users to interact with items in the feed to work towards their goals and provides a measure of potential benefits. The system also tracks user interactions, updates progress indicators based on completed items, and uses machine learning to improve item selection and user engagement.
Furthermore, the system allows users to select metrics for quantifying goal completion progress, generates unique goal-related progress indicators for each selected goal, calculates predicted completion contributions for specific items, and prioritizes placement of goal-related items in the data feed. The method involves generating visual augmentations, calculating completion metrics, and providing progress indicators for goal-related items within the data feed. It also includes tracking user interactions, updating machine learning components, and assigning priorities to items based on their relevance to the user's goals. The computer-readable storage device executes instructions to generate visual augmentations, calculate predicted completion metrics, and provide progress indicators for goal-related items in an interactive data feed, thereby helping users track and achieve their personalized objectives efficiently.
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