The objectives of this research were 1) to investigate the current status, expected development, and influencing factors of autonomous learning ability among college students in Shaanxi Province; 2) to formulate a sustainable development strategy for the autonomous learning ability of college students in Shaanxi Province; 3) to assess the feasibility of implementing this strategy. The research sample includes 384 questionnaire respondents (college students in Shaanxi Province) and 20 interview experts, all from the higher education sector in Shaanxi Province, selected through random proportion sampling. The research tools include: 1) questionnaires; 2) interviews; 3) evaluation Form. Data analysis was conducted using percentages, means, standard deviations, and content analysis. The research results show that: 1) the current status of autonomous learning ability among college students in Shaanxi Province is at a moderate level; 2) the sustainable development strategy for the autonomous learning ability of college students in Shaanxi Province includes five aspects: learning motivation, learning strategies, self-efficacy, learning environment, and self-regulation and control, there are 46 measures in total; 3)The adaptability and feasibility assessment results of each strategy are at a relatively high level, with the highest level being “high”.
This study investigates the current state, desired state, and needs for personnel administration in private higher education institutions. The sample group consisted of faculty members from private higher education institutions in Shandong Province, People’s Republic of China, selected based on the Krejcie and Morgan table, totaling 381 participants. The research instrument was a checklist-type questionnaire with an IOC value ranging from 0.67 to 1.00, item discrimination power ranging from 0.66 to 0.97, and a reliability coefficient of 0.97. Statistical methods employed included frequency, percentage, mean, standard deviation, and the priority index for needs. The research findings revealed that: (1) the current state of personnel administration in private higher education institutions, both overall and in every aspect, is at a moderate level, while the desired state, both overall and in every aspect, is at the highest level; and (2) the needs and directions for personnel administration in private higher education institutions, ranked from highest to lowest priority, are personnel recruitment, personnel training, performance evaluation, and compensation and benefits.
In 2024, the Education Bureau of the Hong Kong Special Administrative Region (SAR) updated the Primary Education Curriculum Guide. It positions “national identity” as the top of the seven learning goals. Against this background, the presentation of national consciousness in English textbooks has emerged as a critical dimension in fostering national identity among adolescents in Hong Kong. This research draws on Zhao Dan and Shen Qi’s analytical framework of national cognition, national identity and national responsibility, combines the cultural regional classification theory of Cortazzi and Jin and Moran’s five elements of culture to examine the manifestations of national consciousness in Primary Longman Express 2nd Edition 6A, a mainstream primary English textbook in Hong Kong, through a content analysis method. The research focuses on three core dimensions: the geographical and temporal distribution of cultural presentation (national cognition), cultural identity and identity recognition in virtual language communities (national identity), and the values penetration (national responsibility). The research finds that the selected textbook exhibits the following features. In terms of cultural presentation, the content of culture forms a relatively balanced pattern, and using first-person narratives enhances students’ sense of immersion and national identity. In the construction of language community identity, Chinese English users account for 43.48%, covering multiple social roles. For values penetration, the textbook frequently conveys patriotic feelings and collectivist values. The research also points out that the textbook has room for improvement and puts forward targeted suggestions. This research expands the regional dimension of the research on national consciousness in foreign language education, providing a theoretical and empirical basis for the optimization of English textbooks in the Hong Kong SAR under “one country, two systems”.
This research endeavor is centered on creating a comprehensive online self-training program to enhance educators’ understanding of the essential characteristics of 21st Century Learners. The program is thoughtfully designed with two principal components: the first focuses on equipping teachers with the necessary skills and strategies to foster and nurture their students as 21st Century Learners effectively. In contrast, the second component provides educators with practical guidance on implementing these newly acquired skills in real classroom settings. The study employed a five-step Research and Development methodology to ensure a rigorous and systematic approach, culminating in a structured one-group pretest-posttest design. This design was executed in a randomly selected school, engaging a cohort of eight dedicated teachers and 121 diverse students who participated in the program. This research revealed that the “Online Self-Training Program for Empowering Teachers to Strengthen Their Students as 21st Century Learners” met and exceeded the established research criteria. Consequently, the program holds significant promise for broader application and implementation across schools nationwide, ultimately contributing to enhancing educational practices in alignment with the demands of the 21st Century.
This research aims to develop and validate the coherence of the structural model of school administration factors influencing the effectiveness of information systems through intelligent technology of schools under local administrative organizations. This research used the mixed-methods approach, incorporating both quantitative and qualitative data. Regarding the quantitative research, in-depth interviews were performed with nine experts in order to analyze and develop a draft structural model. Subsequently, this model was used to formulate a questionnaire for qualitative research. The sample group consisted of 640 municipal school teachers who were under the local administrative organizations throughout the country. Data were gathered via distributing questionnaires through postal mail, which included a QR code for responders to access the questionnaire in Google Forms format. The gathered data were analyzed utilizing statistics, including frequency, percentage, mean, standard deviation, Pearson’s correlation coefficient, and structural equation modelling. The research findings revealed as follows: 1) The development of a structural equation model of school administration factors, consisting of four components: (1) School Administrators’ Leadership, (2) Teachers and Personnel Development, (3) School Management, and (4) Information Technology. In addition, the components of information systems effectiveness through intelligent technology, comprising five components: (1) Information Quality, (2) System Quality, (3) Service Quality, (4) User Intention, and (5) User Satisfaction. 2) The structural equation model of school administration factors affecting the effectiveness of information systems through intelligent technology was aligned with the empirical data, whereby the model fit statistics were as follows: Chi-Square was 120.56, with degrees of freedom (df) was 101; P-Value was 0.08976, which was greater than 0.05, indicating that it had a close fit; Relative Chi-Square (χ2/df) was 1.19; RMSEA was 0.017; GFI was 0.98; AGFI was 0.96. The external latent variable in terms of school administrators’ leadership influenced the internal latent variables, which included the effectiveness of the information systems through intelligent technology, teachers and personnel development, school management, and information technology. The variables within the model were able to explain the variance of each internal latent variable, accounting for 61.00%, 60.60%, 84.60%, and 83.00%, respectively.
