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

Anxiety has become an important issue affecting students’ mental health. There is some evidence that mindfulness-based art interventions (MBAIs) can reduce students’ anxiety symptoms. However, some studies have shown the opposite view. Therefore, it is necessary to explore whether MBAIs are effective in alleviating students’ anxiety. In this meta-analysis, we chose 17 articles that met the criteria for inclusion, involving a total of 1548 participants, to figure out how big an impact the interventions had on student anxiety as a whole. The results show that MBAIs can reduce students’ anxiety (g = −0.387, p = 0.000). The effect size varies based on different moderators, including learning stage, sample size, intervention type, research design, measuring instrument, and intervention duration. Intervention type, research design, and measuring instrument are significant moderators. Specifically, the mindfulness-based art intervention (MBAI) showed stronger effects than the mandala coloring activity. Single-group experimental designs showed significantly higher effect sizes than studies that included a control group, and studies that used other measurement instruments had significantly higher effect sizes than those that used the State–Trait Anxiety Inventory. On this basis, the researchers put forward specific suggestions based on MBAIs to alleviate the anxiety of students from different educational backgrounds. However, due to the nascent nature of this field, the number of included articles is relatively small. The effectiveness of the research needs further testing.