Article: Intelligent teaching methods of music appreciation based on the Kano model in the context of cultural tourism Journal: International Journal of Arts and Technology (IJART) 2026 Vol.16 No.6 pp.21 - 42 Abstract: With the continuous integration of information technology and education and teaching, as well as the gradual increase in demand for music experiences in cultural tourism, intelligent teaching has become an important way to enhance learning experiences and outcomes. To further enhance the personalisation level of music appreciation teaching, this study proposes a teaching recommendation system that better aligns with user needs by combining the Kano model with the collaborative filtering (CF) algorithm. In the specific research methodology, the Kano questionnaire is first adopted to identify and quantify the must-be, one-dimensional, and attractive requirements in teaching. Then, an improved CF algorithm is proposed, which integrates the weights of the above-mentioned requirements into user similarity calculation. The study demonstrates that this method can effectively improve recommendation accuracy and user satisfaction and is also easy to use for beginners. Inderscience Publishers - linking academia, business and industry through research

Title: Intelligent teaching methods of music appreciation based on the Kano model in the context of cultural tourism

Authors: Xue Li; Wenjuan Tan; Xuesong Li

Addresses: School of Music and Dance, Chongqing Preschool Education College, Chongqing, 404000, China ' School of Music and Dance, Chongqing Preschool Education College, Chongqing, 404000, China ' College of Music, Hansei University, 30 Hanse-ro, Gunpo-si, Gyeonggi-do, South Korea

Abstract: With the continuous integration of information technology and education and teaching, as well as the gradual increase in demand for music experiences in cultural tourism, intelligent teaching has become an important way to enhance learning experiences and outcomes. To further enhance the personalisation level of music appreciation teaching, this study proposes a teaching recommendation system that better aligns with user needs by combining the Kano model with the collaborative filtering (CF) algorithm. In the specific research methodology, the Kano questionnaire is first adopted to identify and quantify the must-be, one-dimensional, and attractive requirements in teaching. Then, an improved CF algorithm is proposed, which integrates the weights of the above-mentioned requirements into user similarity calculation. The study demonstrates that this method can effectively improve recommendation accuracy and user satisfaction and is also easy to use for beginners.

Keywords: cultural tourism; Kano model; collaborative filtering; CF; music appreciation teaching; personalised recommendation; user satisfaction.

DOI: 10.1504/IJART.2026.154748

International Journal of Arts and Technology, 2026 Vol.16 No.6, pp.21 - 42

Received: 14 Mar 2026
Accepted: 15 Apr 2026
Published online: 13 Jul 2026 *

Title: Intelligent teaching methods of music appreciation based on the Kano model in the context of cultural tourism

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