Learning Support System for Emotion Sharing
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Solution Overview
Problem
Existing learning systems, such as PTL 1, cannot effectively share changes in emotion among multiple viewers when observing a common object, which hinders the enhancement of learning effects in collaborative learning environments.
Innovation Solution
A learning support system that includes a learning content display unit, a learner information reporting unit, a region-of-attention identification unit, and a learner information transmission unit to acquire and display biological information, identify regions of attention, and transmit this information among learners within the same cluster, allowing for the sharing of interests and emotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biological information is acquired and processed for each learner individually, then emotion determination accuracy is improved, but information sharing capability deteriorates
Solution Approach 1:
The system creates visual copies of each learner's region-of-attention overlay on the teaching material video and transmits these copies to other learners in the cluster. This allows individual attention information to be replicated and shared without losing the original measurement precision of each learner's biological data
Solution Approach 2:
The system introduces an intermediary information processing layer that receives individual learner data, processes it into standardized region-of-attention visualizations, and distributes it to cluster members. This intermediary layer enables information sharing while preserving the accuracy of original measurements through structured data transformation
2Productivity
If region-of-attention information is shared among all learners, then learning engagement is improved, but system complexity increases
Solution Approach 1:
The system applies local quality by sharing region-of-attention information selectively within clustered learners rather than universally to all users. This localized approach enhances engagement for relevant peer groups while reducing overall system complexity through targeted information distribution
Solution Approach 2:
The system segments learners into clusters based on shared characteristics or learning contexts, and processes information sharing separately for each cluster. This segmentation reduces system complexity by dividing the problem into manageable sub-groups while maintaining high engagement within each segment
Data Source
AI summary
Provided is a learning support system which can enhance a learning effect by sharing a matter of interest among learners viewing a learning content. The learning support system includes: a learning content display unit configured to play and display a teaching material video; a learner information reporting unit configured to acquire biological information of a learner during play of the teaching material video and report the biological information as learner information; a region-of-attention identification unit configured to identify a region-of-attention of the learner based on the biological information; a learner information display creation unit configured to generate a screen in which the region-of-attention is superimposed on the teaching material video of another learner belonging to the same cluster as the learner; and a learner information transmission unit configured to transmit the screen to the another learner.