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International Journal of Educational Innovation and Science, 2024, 5(1); doi: 10.38007/IJEIS.2024.050102.

Evaluation on Multimodal College Music Teaching Mode Based on Interactive Sentiment


Shuang Liang, Shuang Li, Jihong Hou

Corresponding Author:
Shuang Liang

College of Education, De La Salle University-Dasmariñas, Dasmariñas, Cavite, Philippines


The teaching mode of music is a relatively stable and operational curriculum structure and system based on specific teaching concepts and specific teaching purposes. In the process of comprehensively promoting quality education, students' moral cultivation, aesthetic sentiment, and innovation consciousness have been given comprehensive attention. Music, as a main content of humanistic literacy, is widely used as an open elective course in many schools. Judging from the current music teaching, on the one hand, there are problems such as single teaching mode and loose structure; on the other hand, there are problems such as poor basic music skills of teaching objects, unclear teaching purpose, and poor teaching quality. To this end, it is necessary to change the current teaching status and study new teaching modes, so as to further stimulate students' interest in music learning and give full play to the role of music teaching in aesthetic education. Based on the multi-modality of interactive sentiment analysis, this paper studied the music teaching mode in colleges and universities. Through the research, students' interest in music learning has increased by 6.83%.


Music Mode, Multimodal Learning, Emotional Analysis, Humanistic Literacy

Cite This Paper

Shuang Liang, Shuang Li, Jihong Hou. Evaluation on Multimodal College Music Teaching Mode Based on Interactive Sentiment. International Journal of Educational Innovation and Science (2024), Vol. 5, Issue 1: 6-19. https://doi.org/10.38007/IJEIS.2024.050102.


[1] Wang P, Conservatory A O. Russian Vocal Music Teaching Mode and Its Influences on Chinese Universities. Journal of Changchun University, 2018,121(32):98-102.

[2] Fan B. Analysis of the Design of Diversified Teaching Mode in Vocal Music Teaching. Journal of Jiamusi Vocational Institute, 2018,65(2):233-237.

[3] Wei M A, Music S O. SWOT Analysis of the Application of Flipped Classroom Teaching Mode to College Music Teaching. Theory and Practice of Education, 2018,16(5):54-62.

[4] Shan L I, Jian-Li Q I, MD Academy. Research on the Innovation of Opera Vocal Music Teaching Mode Based on Romantic Concept. Journal of Qiqihar University(Philosophy Social Science Edition), 2019,32(8):1130-1135.

[5] Jing C. Application and research on computer aided technology in the new music teaching method. IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association, 2018, 30(7):301-306.

[6] Zhang M. Alf Music Teaching Method The Thinking and Suggestion in The Teaching of Education Professional Piano. Journal of Educational Institute of Jilin Province, 2018,42(6):2130-2136.

[7] Ruijun S U. Application Analysis of Interactive Teaching Model in Music Classroom Teaching of Junior Middle School. The Theory and Practice of Innovation and Entrepreneurship, 2019,27(3):652-658.

[8] Cheng X, Wang P, She C. Biometric Identification Method for Heart Sound Based on Multimodal Multiscale Dispersion Entropy. Entropy, 2020, 22(2):238-243.

[9] Andersen R A, Snyder L H, Bradley D C. Multimodal representation of space in the posterior parietal cortex and its use in planning movements. Annual review of neuroscience, 2020,57(6):303-330.

[10] Serfaty J M, Brochet E. Multimodal assessment of the aortic annulus diameter: implications for transcatheter aortic valve implantation. Archives of Cardiovascular Diseases Supplements, 2018, 55(3):186-194.

[11] Jr N M, Perez C A, Tefft M. Multimodal therapy for the management of primary, nonmetastatic Ewing's sarcoma of bone: an Intergroup Study. Natl Cancer Inst Monogr, 2018, 56(12):255-258.

[12] Srivastava N, Salakhutdinov R. Multimodal Learning with Deep Boltzmann Machines. Journal of Machine Learning Research, 2018, 15(2):2030-2037.

[13] Torm M, Belmouhand M, Munch I. Migration of an outer retinal element in a healthy child followed by longitudinal multimodal imaging.. American journal of ophthalmology case reports, 2020, 18(7):100-107.

[14] Raphael K, Martinez A, Clements S. Role of Multimodal Cardiac Imaging in Diagnosing a Primary Intimal Sarcoma of the Left Atrial Appendage. Texas Heart Institute journal, 2019, 46(1):28-31.

[15] Hohenegger C, Bretherton C S, Yano J I. interactive comment on simulating deep convection with a shallow convection scheme by introduction: pbl-based mass-flux closure. American journal of ophthalmology case reports, 2019,18(6):156-158.

[16] Plakhova E A, Kharapudko E N, Nurmieva R R. Communicative and Cognitive Approach in Training English Lexis as Means of Educational Process Intensification. The Journal of Social Sciences Research, 2018,57(13):137-142.

[17] Tohyama M, Izumi T, Sanda S. Proposition of Thermal-Diffusion-Induced Spiral Model for the Rapid Oil-Film Breakdown Process during Scuffing. Tribology Online, 2021, 16(2):89-98.

[18] Lan J, Patton R J, Zhu X. Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation. Renewable Energy, 2018, 116(23):219-231.

[19] Liang C. Innovation-driven and Internal Development:the Main Theme of the Party Construction in Universities in New Era. Theory Research, 2018,15(8):324-328.

[20] Kokabifar E, Psarrakos P J, Loghmani G B. On the distance from a matrix polynomial to matrix polynomials with two prescribed eigenvalues. Linear Algebra and its Applications, 2018, 544(16):1203-1209.