E-learning - Engineering education - Human computer interaction - Online systems - Surveys;
D O I:
10.1155/2022/3199860
中图分类号:
TP31 [计算机软件];
学科分类号:
081202 ;
0835 ;
摘要:
This research focuses on the relationship between artificial intelligence technology and music performance in colleges and universities and explores the application of artificial intelligence technology in music teaching. At the same time, it explores the deficiencies of existing computer-assisted language learning software and systems through questionnaires and interviews and also proposes solutions, such as further understanding of theories, enhancing learners' confidence, and stimulating their interest in learning. The results of this research will help to improve the application of online intelligent human-computer systems in music teaching and provide dynamic support for improving the quality of music teaching and talent training in colleges and universities.
机构:
Communication University of China Nanjing, School of International Communication, Jiangsu, Nanjing,211172, ChinaCommunication University of China Nanjing, School of International Communication, Jiangsu, Nanjing,211172, China
机构:
State Key Laboratory of Millimeter Waves,Southeast University
Institute of Electromagnetic Space,Southeast University
School of Information Science and Engineering,Southeast UniversityState Key Laboratory of Millimeter Waves,Southeast University
Xuanru Zhang
Tie Jun Cui
论文数: 0引用数: 0
h-index: 0
机构:
State Key Laboratory of Millimeter Waves,Southeast University
Institute of Electromagnetic Space,Southeast University
School of Information Science and Engineering,Southeast UniversityState Key Laboratory of Millimeter Waves,Southeast University