Internet Teaching Platform Following System Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current Internet teaching platforms lack a system for real-time analysis and guidance of follow-up teaching processes, particularly in underdeveloped areas, where local teachers need assistance to improve their teaching quality and efficiency by comparing and analyzing recorded and broadcast teaching data with standard courses.
Innovation Solution
An Internet teaching platform-based following teaching system that collects and processes class teaching data into standard and follow-up teaching recorded and broadcast courses, using time identifiers to segment data into pre-class, class, and in-class stages, allowing real-time analysis and comparison of teaching data to provide suggested lecturing times and improvement suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Internet teaching platforms only focus on recording and broadcasting teaching content, then the system complexity is low and ease of operation is maintained, but the teaching quality improvement and analysis capability are insufficient
Solution Approach 1:
The patent segments teaching content into standardized modules with time identifiers, dividing the teaching process into pre-class, during-class, and post-class stages. This segmentation enables systematic analysis of teaching quality while maintaining manageable system complexity through modular data organization.
Solution Approach 2:
The patent implements feedback mechanisms by comparing actual teaching data against standardized teaching models, providing real-time analysis and suggestions to teachers. This feedback loop enhances teaching quality while the automated comparison algorithms manage the complexity of data analysis.
2Ease of operation
If real-time analysis and comparison of teaching data is implemented, then teaching guidance capability is improved, but data processing time and system resource consumption increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing teaching data during the recording phase, organizing it with time identifiers and structural markers. This preliminary organization enables faster real-time analysis and comparison without significant additional processing time during actual teaching.
Solution Approach 2:
The patent uses copying by creating standardized teaching model templates in advance. These templates serve as reference copies for comparison, enabling efficient real-time analysis by matching actual teaching data against pre-established standards rather than creating new analysis frameworks each time.
3Measurement precision
If teaching data is segmented by time identifiers into multiple stages, then teaching process analysis precision is improved, but data structure complexity increases
Solution Approach 1:
The patent applies segmentation by dividing teaching data into distinct time-based stages (pre-class, during-class, post-class) with clear boundary markers. This segmentation improves analysis precision by enabling stage-specific evaluation while the standardized segment structure keeps data organization manageable through consistent formatting rules.
4Adaptability or versatility
If standardized teaching recorded and broadcast courses are created, then teaching resource reusability is improved, but the initial data processing and standardization effort increases
Solution Approach 1:
The patent performs preliminary action by automatically standardizing teaching data during the initial recording phase using predefined templates and time identifier systems. This upfront standardization reduces the need for repeated processing when reusing teaching resources, as the data is already organized in a standardized, reusable format.
Solution Approach 2:
The patent creates universal teaching resource standards that can be applied across multiple teaching scenarios and contexts. By establishing a unified data structure with time identifiers and standardized segments, the system enables single teaching resources to be reused and adapted for multiple purposes, reducing overall processing requirements.
Data Source
AI summary
The present disclosure provides an Internet teaching platform-based following teaching system. By using a recording and broadcasting system of an Internet teaching platform, recording class teaching of a standard teacher and then performing standardization segmentation processing on data of the recorded class teaching, a standard teaching recorded and broadcast course is formed, and after learning the standard teaching recorded and broadcast course, a following teacher can imitate the standard teacher to perform local class teaching, which is also recorded by means of the recording and broadcasting system. By using the system of the present disclosure to perform processing of relationship construction, statistics, analysis and comparison on a variety of collected data, the recording and guiding before, during and after a teaching process of the following teacher can be realized, so as to facilitate the following teacher in effectively completing the local class teaching.