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Qi Zheng; Jing Zhan; Xinying Xu – SAGE Open, 2024
This study focuses on the different impacts of platform training and learning by doing on gig workers' platform income. Based on survey data of China's delivery riders on the platform in 2020, via quantitative methods combined with the case study, it is found that the platform training is negatively correlated with riders' incomes, while learning…
Descriptors: Foreign Countries, Learning Processes, Income, Temporary Employment
Xinyi Wang; Xiaofan Yu – SAGE Open, 2024
Although learning with mobile educational applications (apps) has become popular in higher education, the factors accounting for students' voluntary continuous usage have not yet been investigated fully. This study aims to understand art students' continuance intention by combining the "expectation-confirmation model" ("ECM")…
Descriptors: Art Education, Student Attitudes, Stress Variables, Value Judgment
Yilong Su; Meina Luo; Chenyin Zhong – SAGE Open, 2025
Artificial intelligence-driven chatbots have sparked significant changes in English education, which is challenging for pre-service teachers. To date, it remains unclear what are pre-service English teachers' perceptions of and needs in integrating chatbots into English education. This study, therefore, explored Chinese pre-service English…
Descriptors: Preservice Teachers, Language Teachers, Student Attitudes, Preservice Teacher Education
Yang, Liuyan – SAGE Open, 2022
This study focused on students' experience with a mobile multimedia application for a pronunciation course. An app was used for after-class pronunciation practice, through which the instructor gave out multimodal feedback to students. Student engagement with teacher feedback in the app was investigated from multiple data sources. Data collected in…
Descriptors: Student Participation, Pronunciation, Feedback (Response), Telecommunications