Automatic learning scheduling system
Patent Information
- Application Number
- TW115205353
- Authority / Receiving Office
- TW · TW
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2026-06-10
- Publication Date
- 2026-09-01
- Estimated Expiration
- 2036-06-09
Smart Images

Figure TWG2TB001909559_001 
Figure TWG2TB001909559_002 
Figure TWG2TB001909559_003
Abstract
Claims
1. An automatic learning scheduling system, comprising: an input module for providing an operation interface, the input module providing a learning option according to an instruction received by the operation interface, wherein, The learning options include: a learning content, a learning method, a learning speed, and a learning time; and a processor, which is connected to the input module by a signal, receives the learning options, allocates the learning content according to the learning method, the learning speed, and the learning time, outputs a progress schedule, and displays the progress schedule on the operation interface.
2. The automatic learning scheduling system as described in claim 1, wherein, The learning content includes: online vocabulary, online articles, textbook vocabulary, textbook articles, or any combination thereof.
3. The automatic learning scheduling system as described in claim 1, wherein, The automatic learning scheduling system further includes a database connected to the input module. When the instruction includes any or a combination of grade level, textbook version, etc., the database provides any or a combination of textbook vocabulary, textbook articles, etc., corresponding to the instruction as the learning content.
4. The automatic learning scheduling system as described in claim 1, wherein, This learning method includes either repetitive learning content or entirely new learning content.
5. The automatic learning scheduling system as described in claim 4, wherein, The repeated learning content includes: historical learning content and the new learning content, wherein the ratio of the historical learning content to the new learning content is between (10%:90%) and (90%:10%).
6. The automatic learning scheduling system as described in claim 1, wherein, The learning speed is differentiated by either or a combination of the number of words per lesson, the number of articles per lesson, or the number of lessons covered.
7. The automatic learning scheduling system as described in claim 1, wherein, The learning period includes: the learning start date, the number of daily learning sessions, the number of weekly learning sessions, the number of monthly learning sessions, or any combination thereof.
8. The automatic learning scheduling system as described in claim 1, wherein, This schedule includes: total number of single words learned, total number of articles learned, number of single words per lesson, number of articles per lesson, estimated total number of lessons, estimated total number of weeks, number of learning weeks, learning date range, number of new contents per lesson, number of old contents per lesson, and cumulative number of learnings, or any combination thereof.
9. The automatic learning scheduling system as described in claim 1, wherein, The automatic learning scheduling system further includes a self-compiled module that is signal-connected to the input module. The input module receives a self-compiled teaching material and transmits it to the self-compiled module. The self-compiled module disassembles and analyzes the self-compiled teaching material and outputs self-compiled learning content.
10. The automatic learning scheduling system as described in claim 9, wherein, The self-compiled module includes a test preparation unit, which provides a self-compiled test based on the self-compiled learning content. The self-compiled test can take the form of multiple choice, fill-in-the-blank, translation, or question and answer, or any combination thereof.