Optimization of Online Vocabulary Learning Platform Based on Kano Model

Open Access
Article
Conference Proceedings
Authors: Huai CaoKaixuan HeXiuling WangXinyue Gong

Abstract: In the case of a worldwide epidemic, a lot of vocabulary learning software and applications have shown up in the online app stores in China. The Study builds a demand system with 8 dimensions and 31 features from three aspects, including content, function and design. On such a basis, users of vocabulary learning platforms are taken as the objects of research. Then, with Kano Model theory and research methods, the statistic analysis of data is conducted to obtain the results of demand evaluation. The satisfaction and dissatisfaction coefficients are calculated as well. On this basis, users’ demands are classified into four-quadrant diagrams and obtain 8 Must-be attributes, 6 One-dimensional attributes, and 11 Attractive attributes. The research prioritizes the platform features and proposes corresponding design strategies. The purpose is to build more individualized online platforms for vocabulary learning and enhance learners’ motivations. Finally, some principles of designing online vocabulary learning platforms are summarized to offer reliable guidance and suggestions on subsequent studies and functional designs in this field.

Keywords: Kano Model,Satisfaction and Dissatisfaction Coefficients,Delphi Method,User Demands

DOI: 10.54941/ahfe1002403

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