The device only connects to the internet when downloading content or uploading learning history. This enables digital learning even in environments where internet connectivity is difficult.
Using the existing features of Goocus, administrators can manage the progress of learning, as well as deliver updates and new content.
By reducing the data size of videos, images, and other content, we enable quick downloads to mobile devices and smooth operation during learning.
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By installing Edge devices equipped with Goocus functionality, Edge Computing* enables stable digital learning and learning management even in low-speed network environments.
By connecting Edge devices to the Internet, it is possible to aggregate information from multiple devices and manage learning more efficiently.
With the conventional Goocus features, administrators can manage the progress of learning, deliver updates, and distribute new content.
*Edge Computing is a network technology that performs data processing and analysis on Edge devices.
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*360-degree video is a video shot with a 360-degree camera that can be freely viewed from all directions.
A virtual learning environment specialized for VR theaters. Since it does not require traditional VR glasses, it enables group education and experiences with communication similar to classrooms.
With Goocus VR, you can easily add text and quizzes to all VR videos, including 360-degree videos, without the need for specialized software or editing techniques.
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Goocus AI aims to develop "lightweight AI" by focusing on learning functions, resulting in a small data footprint and fast operation. Unlike traditional AI, it does not require massive datasets or communication during execution. This enables individualized, AI-driven learning on smartphones without the need for an internet connection.
Goocus AI generates recommended questions suitable for the individual learner or asks existing questions depending on whether the answer is correct or incorrect.By solving similar problems repeatedly, you can expect to overcome areas of weakness.
By learning the overall correctness tendencies for each question from all students, AI is expected to classify questions by difficulty level, enabling learners to understand their own abilities. Additionally, it supports more accurate adaptive learning based on individual correctness trends and trends in the correctness of question sets.