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harmony-learning-analysis-app

Research and design of online video classroom and learning analysis App based on HarmonyOS

Overview

This project aims to develop a comprehensive system that integrates online video classrooms with learning analytics technology on the HarmonyOS platform. The system will assess learners' performance through multidimensional data such as facial expressions, learning states, and screen usage duration. Additionally, it will establish an evaluative framework to quantify learners' progress, offering personalized teaching and learning solutions.

Research Objectives

  1. Develop a mobile application using HarmonyOS for online video teaching, emphasizing optimization of high-concurrency business structures.
  2. Establish an evaluative framework for assessing learners' progress, allowing for quantifiable analysis and providing personalized teaching and learning solutions.
  3. Capture external aspects of learners, such as facial expressions, study duration, and in-video exercises. Research ways to quantify user performance through data modeling, enabling accurate prediction and tailored services for students.

Key Research Areas

  1. Construction of Learner Evaluation System Explore methods for constructing a comprehensive and effective evaluation system based on learners' facial expressions, learning states, and screen usage duration.
  2. Mobile Development and High-Concurrency Business Optimization Address challenges related to server performance under high-concurrency scenarios by implementing load balancing techniques. Utilize caching technology to alleviate database burdens. Implement a distributed storage system to enhance data read/write efficiency. Apply real-time communication technologies like WebSocket to reduce unnecessary polling requests and improve message delivery efficiency. Design a distributed system to deploy different functional modules, enhancing overall system stability and concurrency handling capabilities.

Key Issues to Solve

  1. Construction of Learner Evaluation System Develop a comprehensive and effective evaluation system based on multidimensional data to assess learners' progress. Mobile Development and High-Concurrency Business Optimization
  2. Address server performance issues under high-concurrency scenarios. Implement load balancing, caching, and distributed storage to optimize data processing and storage. Utilize real-time communication technologies to enhance efficiency in online classroom applications.

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