Jinan Engineering Polytechnic, Jinan, Shandong, China
University is an important channel for the growth of talent resources and plays a huge role in the professional development of students. With the steady development of contemporary social economy and the rapid progress of science and technology, the demand for marketing professionals is even greater for the market, which means that higher vocational colleges (HVC) should find and establish more suitable marketing models and marketing education methods for market development in combination with the current actual situation of the market, and cultivate more comprehensive talents that can meet the needs of more different positions. Schools should also change the former school-centered teaching idea. Establish the concept of student-centered vocational education and create professional talents in line with social needs. According to the characteristics of marketing specialty in HVC, this paper uses the fuzzy Delphi method to explore and analyze the teaching of marketing specialty. It shows the accuracy and reliability of the application of fuzzy Delphi method in the evaluation field. The research results show that the questionnaire of students and relevant teachers who have participated in the teaching of marketing major in HVC can explain that the current teaching methods of marketing major need to be further improved. Finally, the conclusions drawn from the method can be used to put forward problems and suggestions for the current marketing major.
Fuzzy Delphi Method, HVC, Marketing, Fuzzy Evaluation Method
Haixuan Wang. Teaching Evaluation of Marketing Specialty in Higher Vocational Colleges Based on Fuzzy Delphi Method. Frontiers in Educational Research (2023) Vol. 6, Issue 20: 93-99. https://doi.org/10.25236/FER.2023.062016.
 Adam A F. Strategi Marketing Politik. Jurnal Politik Pemerintahan Dharma Praja, 2021, 14(1): 70-93.
 TMD Silva, Peano C, Giuggioli N R. Is multivarietal brand a viable solution to valorize and extend marketing of strawberries. Acta Horticulturae, 2021(1309):849-856.
 Kushwaha B P. Personalised Digital Marketing Perspectives and Practices in Tourism Industry. PalArch's Journal of Archaeology of Egypt/ Egyptology, 2020, 17(6):2029-2041.
 Chou L N, Shen I C, Chu T P, et al. Effectiveness of a school-based social marketing intervention to promote adolescent sexual health:. Health Education Journal, 2020, 79(1):34-45.
 Happ E, Zsuzsa I. A Study of Digital Marketing Tools Usage Habits among Hungarian Tourists. Geojournal of Tourism and Geosites, 2020, 32(4):1283-1289.
 Reynaldo, G, Rivera, et al. Incorporating Diversity in Marketing Education: A Framework for Including All People in the Teaching and Learning Process. Journal of Marketing Education, 2019, 42(1):37-47.
 Li M. An Immersive Context Teaching Method for College English Based on Artificial Intelligence and Machine Learning in Virtual Reality Technology. Mobile Information Systems, 2021, 2021(2):1-7.
 Crick J M, Crick D. Teaching marketing to non-marketing majors: tools to enhance their engagement and academic performance. Education + Training, 2021, 63(6):833-851.
 Pr A, Bbtdc B, Ga C, et al. Social circular economy indicators: Selection through fuzzy delphi method—Science Direct. Sustainable Production and Consumption, 2021, 26:101-110.
 Bonnot O, Insua J L, Walterfang M, et al. Development of a suspicion index for secondary schizophrenia using the Delphi method:. Australian & New Zealand Journal of Psychiatry, 2022, 56(5):500-509.
 Akter M, Jahan M, Kabir R, et al. Risk assessment based on fuzzy synthetic evaluation method. The Science of the Total Environment, 2019, 658(MAR.25):818-829.
 Cao C, Xie Y, Zhou Y. Assessment of WeChat Work Online Teaching Modes under COVID-19: Based on AHP and Fuzzy Comprehensive Evaluation Method. Open Journal of Social Sciences, 2020, 08(7): 349-358.
 Wang L, Wei Z, Jing Z. Assessing effect of grassland resources policies using AHP and fuzzy comprehensive evaluation: A case study of Ningxia Hui Autonomous Region, China. Ecological Economy, 2020, v.16(03):51-59.
 Sun Y, Wang L, Xu J, et al. An Intelligent Coupling 3-grade Fuzzy Comprehensive Evaluation Approach with AHP for Selection of Levitation Controller of Maglev Trains. IEEE Access, 2020, (99):1-1.
 Du Y, Huang R. Research on the core competitiveness of pharmaceutical listed companies based on fuzzy comprehensive evaluation. Journal of Intelligent and Fuzzy Systems, 2020, 38(6):1-8.