Network learning system and method thereof

A network learning system, comprising:

• a host end, coupled to a first user end and a second user end, the host end comprising:
• a memory, configured to store at least one instruction;
• and
• a processor, coupled to the memory, the processor configured to access the at least one instruction to perform steps of:
• storing original lesson information sending from the first user end, wherein the original lesson information comprises a plurality of content sections, wherein the plurality of content sections comprise a plurality of multi-level related contents, wherein the plurality of multi-level related contents correspond to a plurality of time lengths of section respectively;
• selecting from the plurality of multi-level related contents to form first adaptive lesson information based on a learning condition of the second user end, wherein the learning condition is a time of learning set by the second user end, and the processor reorder the selected multi-level related contents to form the first adaptive lesson information to match the time of learning;
• sending the first adaptive lesson information to the second user end, so that an output device of the second user end outputs the first adaptive lesson information based on a first view of a first simulated space;
• and
• recording a value from an input device of the second user end when the output device of the second user end outputs the first adaptive lesson information.