Table 2
Summary of selected articles.
| Author/s (year) | Journal | Country | Methodology | Educational stage | Results/Conclusions |
| Ba y Liu (2022) | Scientific Programming | China | Quantitative | University | Experimental verification shows that the intelligent neural network-based FNN algorithm can provide a more objective basis for teacher performance evaluation. |
| Guo (2022) | Scientific Programming | China | Quantitative | College and University | Intelligent Computer Assisted Instruction (ICAI) reduces teacher stress and improves the accuracy of PE assessments. |
| He et al. (2024) | Heliyon | China | Quantitative | University | The interactive AI system constructed in this article can play a significant role in the teaching of 400 m running. |
| Hu (2020) | Computer-Aided Design and Applications | China | Quantitative | University | AI-assisted badminton teaching improves communication and exchange between students, increases self-confidence in the learning process and has a positive effect on badminton learning. |
| Liu (2022) | Applied Mathematics and nonlinear sciences | China | Quantitative | College | Students can learn the basic fitness movements independently and effectively, and the teacher can offer more personalised attention to the students. |
| Sang y Chen (2022) | Frontiers in public health | China | Quantitative | College | The method of teaching PE based on human-computer interaction through speech recognition can improve the quality of PE teaching. |
| Wu et al. (2022) | Wireless Communications & Mobile Computing | China | Quantitative | College and University | The majority of students showed satisfaction with the smart PC-assisted educational delivery system in PE classes, although teachers’ adoption of the system varied significantly. |
| Yang et al. (2020) | Sustainability | China | Quantitative | Primary school | By combining the advantages of traditional PE and intelligent information technology, the ability to provide personalised attention to students in PE classes is improved. Moreover, the use of educational robots in PE improves students’ learning attitude and interest in PE. |
| Yu et al. (2023) | Electronics | China | Quantitative | College and University | The application of the Internet of Things (IoT) and AI has great potential to improve the quality of PE teaching and its efficiency. |
| Zhang et al. (2022) | Frontiers in public health | China | Quantitative | College | The use of virtual simulation technology with AI and the Kinect algorithm combined with teacher education can improve the learning of PE. |
