Abstract: As a comprehensive art form, dance plays an integral role in developing the overall quality of students. However, with the increasing progress of IT technology, the traditional classroom-based teaching mode of dance course can no longer adapt to the current educational environment. This research designs an e-teaching platform system for college dance lessons based on the IGA algorithm (Improved Genetic Algorithm, IGA). First, it establishes a mathematical model of artificial intelligence questions and then proposes the functional design of an online teaching platform for college dance course based on the IGA algorithm. The feasibility of the proposed online teaching platform system of college dance course based on the IGA algorithm is validated via a number of testes. When the iteration count is 500, the success rate of the IGA algorithm reaches 99%; when the iteration count is 100, the average fitness is 0.929; when the iteration count is 100 times, the moderate calculation value is 0.936. While for the traditional Genetic algorithm (GA), the results are 88.6%, 0.73, and 0.752, respectively. By comparing with the traditional teaching mode based on GA algorithm, the proposed method based on IGA algorithm is obviously superior in many aspects.

Yunyun Xu, “Research on the Design of Online Teaching Platform of College Dance Course based on IGA Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 13(11), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131175

@article{Xu2022,
title = {Research on the Design of Online Teaching Platform of College Dance Course based on IGA Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131175},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131175},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {11},
author = {Yunyun Xu}
}