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Direct linkQi 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
Yun Bai – SAGE Open, 2024
This mixed-methods study examined the effectiveness of Rosetta Stone, a mobile-based language learning application, on Chinese EFL students' listening, speaking, foreign language enjoyment (FLE), and foreign language anxiety (FLA). Two groups of intermediate Chinese EFL students from a language institute, with 33 students in the control group and…
Descriptors: English (Second Language), Second Language Learning, Telecommunications, Handheld Devices
Nurulwahida Azid; Abdul Hamid Busthami Nur; Ruzlan Md-Ali; Zaharah Che Isa; Yee Mei Heong; Tee Tze Kiong – SAGE Open, 2024
TVET in Malaysia is geared toward providing quality education, training, and resources but it still needs to be strengthened and reformed toward producing a more quality and skilled workforce. This study aimed to procure feedback from TVET curriculum key-players' (automotive) on the integration of automotive case-based simulation (CBS) as TVET…
Descriptors: Foreign Countries, Vocational Education, College Students, Case Method (Teaching Technique)
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
Hanbing Xue; Weishan Liu – SAGE Open, 2025
The application of natural language processing (NLP) technology in the field of education has attracted considerable attention. This study takes 716 articles from the Web of Science database from 1998 to 2023 as its research sample. Using bibliometrics as the theoretical foundation, and employing methods such as literature review and knowledge…
Descriptors: Bibliometrics, Natural Language Processing, Technology Uses in Education, Educational Trends
