Co-Clustering Operation Logs for Educational Content Analysis
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Solution Overview
Problem
Existing digital lecture systems fail to effectively analyze operation log data from digital devices, limiting the utilization of this data for improving educational content and student engagement analysis.
Innovation Solution
An information processing apparatus and method that collects operation logs from digital devices, co-clusters operator and content information, and generates confirmation data through co-clustering, enabling effective analysis and visualization of user interaction with educational content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If operation log data is collected from digital devices, then data quantity increases, but data analysis capability remains insufficient
Solution Approach 1:
The patent introduces an information processing apparatus as an intermediary between data collection and analysis. This apparatus includes a collection unit that gathers operation logs, an execution unit that performs co-clustering analysis, and a post-processing unit that generates visual results. The intermediary apparatus transforms raw operation log data into meaningful analytical insights through automated processing.
Solution Approach 2:
The patent replaces manual data analysis methods with automated computational algorithms. The execution unit employs co-clustering algorithms to automatically process operation log data, substituting manual analytical processes with algorithmic processing that can handle large volumes of data efficiently and consistently.
2Measurement precision
If co-clustering analysis is performed on operator and content information, then insight quality improves, but processing complexity increases
Solution Approach 1:
The patent segments the complex analysis task into distinct functional units: a collection unit for data gathering, an execution unit for co-clustering processing, and a post-processing unit for result generation. This segmentation allows each unit to focus on a specific aspect of the analysis, managing complexity through modular architecture.
Solution Approach 2:
The information processing apparatus is designed as a universal system that can handle multiple types of operation log data from various digital devices. The co-clustering algorithm processes both operator information and content information simultaneously, providing multi-functional analysis capability within a single system.
Data Source
AI summary
An object is to provide an information processing apparatus capable of analyzing operation log data that can be acquired through a digital device and effectively using the operation log data. An information processing apparatus (10) according to the present disclosure includes an information collection unit (11) configured to collect an operation log generated when a digital device is operated from a plurality of the digital devices, an execution unit (12) configured to co-cluster operator information and content information. The operator information is for identifying an operator of the digital device included in a plurality of the operation logs, and the content information is about content viewed by the operator using the digital device, and a post-processing unit (13) configured to create confirmation data using an execution result of the co-clustering.