@article{3953,
  author = {Xu Meng},
  title = {Analysis of Talent Cultivation and Development Under the Development of Immersion Data Mining Platform},
  journal = {Journal of Intelligent Computing},
  year = {2024},
  volume = {15},
  number = {1},
  doi = {https://doi.org/10.6025/jic/2024/15/1/1-9},
  url = {https://www.dline.info/jic/fulltext/v15n1/jicv15n1_1.pdf},
  abstract = {With the rapid development of information technology and big data, the methods of talent cultivation are also gradually changing. To improve the quality and efficiency of talent cultivation, we propose an immersive talent cultivation experimental platform based on data mining algorithms. The platform first collects various data on students, including learning behaviour, grades, personality traits, etc. Then, we used data mining algorithms to conduct indepth analysis and mining these data. Specifically, we used clustering algorithms to classify students’ learning behaviors, association rule mining algorithms to discover the relationship between students’ grades and personality traits, and decision tree algorithms to predict students’ academic performance. By applying these algorithms, we can better understand students’ learning status and needs and provide them with more personalized and accurate teaching services. At the same time, the platform also has immersive educational features, providing students with a more realistic and vivid learning experience through technologies such as virtual reality (VR) and augmented reality (AR). Students can conduct various experimental operations through the platform, deepening their understanding of knowledge points and enhancing their practical ability and innovative thinking.},
}