University Students’ Usage of Generative Artificial Intelligence for Sustainability: A Cross-Sectional Survey from China DOI Open Access
Xiao Lin, How Shwu Pyng, Ahmad Fauzi Mohd Ayub

и другие.

Sustainability, Год журнала: 2025, Номер 17(8), С. 3541 - 3541

Опубликована: Апрель 15, 2025

The rapid development of generative artificial intelligence (GenAI) technology has triggered extensive discussions about its potential applications in sustainable higher education. Based on the acceptance model (TAM) and task–technology fit (TTF) theory, this research aimed to investigate current situations challenges Chinese university students using GenAI four typical task scenarios. This was performed a cross-sectional design. data were collected via questionnaire, with 486 undergraduates from participating. analysis methods include descriptive statistics, inferential content analysis. results show that more than 70% actively use GenAI, but nearly half them are not very proficient use. Doubao ERNIE Bot tools they prefer most. primary functions text production information retrieval. They mainly learn relevant knowledge skills through self-media knowledge-sharing platforms. Among scenarios, is widely used course learning activities, while application daily life job search relatively limited. demographic variables shows grade major have significant impact students’ GenAI. In addition, suggest universities should offer courses or lectures provide comprehensive technical support improve popularity operability study provides suggestions for universities, education administration departments, departments services. It will help optimize allocation educational resources promote equity sustainability.

Язык: Английский

University Students’ Usage of Generative Artificial Intelligence for Sustainability: A Cross-Sectional Survey from China DOI Open Access
Xiao Lin, How Shwu Pyng, Ahmad Fauzi Mohd Ayub

и другие.

Sustainability, Год журнала: 2025, Номер 17(8), С. 3541 - 3541

Опубликована: Апрель 15, 2025

The rapid development of generative artificial intelligence (GenAI) technology has triggered extensive discussions about its potential applications in sustainable higher education. Based on the acceptance model (TAM) and task–technology fit (TTF) theory, this research aimed to investigate current situations challenges Chinese university students using GenAI four typical task scenarios. This was performed a cross-sectional design. data were collected via questionnaire, with 486 undergraduates from participating. analysis methods include descriptive statistics, inferential content analysis. results show that more than 70% actively use GenAI, but nearly half them are not very proficient use. Doubao ERNIE Bot tools they prefer most. primary functions text production information retrieval. They mainly learn relevant knowledge skills through self-media knowledge-sharing platforms. Among scenarios, is widely used course learning activities, while application daily life job search relatively limited. demographic variables shows grade major have significant impact students’ GenAI. In addition, suggest universities should offer courses or lectures provide comprehensive technical support improve popularity operability study provides suggestions for universities, education administration departments, departments services. It will help optimize allocation educational resources promote equity sustainability.

Язык: Английский

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