Application Research on Big Data of Military Training in Military Academy Teaching

Autor: Xiaoming Dong, Linzhou Xu, Ming Zhou, Yabo Zheng, Wenzhe Li
Rok vydání: 2020
Předmět:
Zdroj: 2020 International Conference on Modern Education and Information Management (ICMEIM).
DOI: 10.1109/icmeim51375.2020.00088
Popis: As an important driving force for future social development, big data technology is promoting the development of science, technology, industry, military, education and other fields. In the era of big data, military education faces new opportunities and challenges. How to combine big data of military training with the military education has become a new and important topic. At present, the military education is still confronted with such problems as decoupling of teaching content from the military training, single teaching method and low teaching effect. In order to improve the training quality of military talents, and make education closer to the reality of military training, this paper applies big data of military training to military academy education. By using teaching methods such as battle plan making, case teaching, tactic discussion and training evaluation, it can promote the transformation of military training achievements in military academy teaching, realize the comprehensive and deep integration of military training and military academy teaching, improve the cultivating level of military talents in military academy, and achieve modernization of military education based on big data of military training.
Databáze: OpenAIRE