In response to the current imbalance phenomenon of "emphasizing skills while neglecting values" in programming practice teaching oriented toward smart agriculture, this study employs the Data Structures course as a vehicle. It applies Checkland's Soft Systems Methodology (SSM) to construct a three-dimensional integrated teaching objective system of "knowledge transfer–capability cultivation–value shaping." Through systematic reconstruction of seven teaching modules centered on linear lists, trees, graphs, sorting, and searching, the teaching objectives are transformed from mere knowledge acquisition to an organic integration of knowledge, capability, and value objectives. In the value di... More >

With the application of AI in both learning and teaching, this study investigates English major graduate students’ perceptions of corrective and suggestive feedback provided by AI, and the relationship between their perceptions and academic writing self-efficacy. Through a questionnaire survey of 37 graduate students, descriptive statistics and Pearson correlation analysis revealed that students held positive attitudes toward both types of feedback, believing they helped improve grammatical accuracy, enhance confidence in expressing complex ideas, and stimulate writing creativity; there is a strong positive correlation between the perceptions of the two types of feedback, and self-efficacy... More >

The rapid advancement of AI and large language models has placed newer and higher demands on comprehensive programming practice courses in higher education. Significant shifts in students' learning styles, knowledge acquisition channels, and innovative capabilities have rendered traditional curriculum content and teaching methods inadequate for meeting the talent development requirements of the new era. This paper thoroughly examines the profound impact of the widespread adoption of AI technologies on the curriculum system and proposes a systematic reform framework centered on "AI empowerment, competency orientation, and student-centered approaches." By integrating AI tools into the course,... More >

This paper investigated the level of social responsibility and the factors influencing it among 602 nursing college students in a three-year senior high school in Quanzhou City, Fujian Province. Data were collected through a structured questionnaire and analysed using independent t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis, and it was found that the sense of social responsibility was significantly and positively correlated with professional satisfaction, nursing professionalism and sociability. Factors such as grade level and volunteer experience also influenced social responsibility. The study provides data support for nursing education and suggests way... More >