@article{4286,
  author = {Yao Min Shi},
  title = {Systematic Teaching and Personalized Assistance Analysis Based on Teacher Module and Student Module},
  journal = {International Journal of Web Applications},
  year = {2024},
  volume = {16},
  number = {4},
  doi = {https://doi.org/10.6025/ijwa/2024/16/4/123-133},
  url = {https://www.dline.info/ijwa/fulltext/v16n4/ijwav16n4_2.pdf},
  abstract = {This article implements systematic teaching and personalized auxiliary analysis based
on the teacher and student modules. The teacher module mainly includes functions
such as course management, homework management, exam management, and
student management, which can facilitate the systematic teaching of students. The
student module mainly includes functions such as course learning, homework
submission, exam review, and problem consultation, which can effectively assist
students in autonomous learning. At the same time, the system also combines big
data and artificial intelligence technology to analyze students’ personalized learning
behavior, providing targeted learning suggestions and assistance for each student.
The system identifies students’ learning characteristics and problems by analysing
data such as their academic performance, learning time, and learning path and
provides corresponding solutions.},
}