The efficacy of political education is pivotal in developing critical thinkers and informed citizens. Traditional methods, however, face challenges such as low engagement, accessibility issues, slow adaptation to changes, and underutilization of technological advancements. This research investigates the transformative impact of integrating Artificial Intelligence (AI) and cutting-edge design strategies into political education courses at Pakistani universities. The study adopts a methodological approach that synergizes AI-based network media with traditional educational practices, subsequently evaluating the implementation’s outcomes through empirical data. The integration of AI into the educational framework has shown remarkable results: a 57% increase in the rate of education post-implementation, a 71% satisfaction rate among students regarding their learning experience, and a political accomplishment (PA) score of 81±4. These metrics indicate a substantial enhancement in the quality of political education. The research underscores the potency of AI-supported communication coaching in elevating political education standards, thereby nurturing political and ideological competencies among students. This modernization, characterized by dynamic, interactive, and globally accessible learning experiences, promises to redefine political education. It effectively dismantles historical barriers, equipping individuals to navigate the complexities of the contemporary geopolitical landscape.
Starting from social identity theory, this article explores the importance of interpersonal relationships to the work performance of teachers in private colleges and universities born in the 1990s, and examines the relationship among interpersonal relationship, organizational commitment and work performance. After conducting a questionnaire survey and analysis of 951 teachers from 19 private Colleges and Universities, the results show that aspects of interpersonal relationships, specifically caring for others and self-image, exert a significant positive impact on organizational commitment and work performance; and these factors can enhance the work performance of post-1990s teachers in these institutions through the partial mediating role of organizational commitment. Research shows that the interpersonal relationships established and maintained from public goals or private goals can promote the organizational commitment and work performance of post-1990s teachers in private colleges and universities. Higher level of interpersonal relationship can improve teachers’ identification and sense of belonging to the organization, and then improve their work performance.
Teachers face challenges when conducting their jobs (stress, work overload, lack of resources, lack of time, etc.), which may lead them to psychological problems. With the current information overload and sparsity of resources, it can be challenging to find relevant educational resources promptly. Recommender systems are designed to address the issue of information overload by filtering relevant information from a large volume of data based on user preferences, interests, or observed behavior. A recommender system can help mitigate teachers’ struggles by recommending personalized resources based on teachers’ needs. This paper presents previous works related to recommender systems in education. It highlights their techniques and limitations. Some papers relied on machine learning and/or ontology for building recommender systems, while others relied on a hybrid system comprising several techniques. The most employed recommendation techniques include collaborative filtering (CF), content-based (CB), and knowledge-based (KB) approaches. Each approach has its advantages and limitations. To overcome these limitations, several advanced recommendation methods have been proposed, such as social network-based recommender systems, fuzzy recommender systems, context awareness-based recommender systems, and group recommender systems. Our analysis reveals that existing recommender systems are learner-centered, often lacking an understanding of the teacher’s context. The continuous advancement of recommendation approaches and techniques has led to the implementation of numerous recommender systems and the development of numerous real-world applications. A context-aware personalized recommender system for teachers should consider personal and professional development goals and psychosocial state when presenting a recommendation. Years of experience, access to equipment, and commute time are some of the aspects that should be considered when designing such a system. Moreover, the studies surveyed provided detailed information about their evaluation methodologies. However, the evaluation of these systems is typically conducted using simulated or nonreal students, along with various assessment approaches such as algorithmic performance tests, statistical analysis, questionnaires, and qualitative observations.
This investigation examines the influence of ChatGPT on mathematics achievement, with a specific focus on the moderating role of students’ interest in mathematics. A sample of 250 students, encompassing undergraduates pursuing a Bachelor of Science and postgraduates engaged in Masters of Philosophy and Doctor of Philosophy programs in Mathematics Education at Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED), Kumasi-Ghana, was selected through random sampling. Employing a quantitative methodology, data were collected via structured questionnaires and analyzed using Amos software, version 23, to test the hypothesized relationships. The findings revealed that student interest in mathematics significantly and positively correlates with the use of ChatGPT, as evidenced by a p-value of less than 1%. Conversely, ChatGPT’s direct influence on mathematics achievement was found to be negative, though not statistically significant, with a p-value of less than 1%. Furthermore, a direct, positive, and statistically significant relationship between students’ interest in mathematics and their achievement in the subject was observed, with a p-value of less than 1%. Notably, the study identified a statistically significant positive moderation effect of students’ interest on the association between ChatGPT usage and mathematics achievement, underlined by a p-value of less than 1%. The findings advocate for a cautious integration of ChatGPT in mathematics education, emphasizing that reliance on artificial intelligence should complement, not replace, traditional learning modalities. Additionally, it is suggested that future research might benefit from employing surveys or self-evaluation tools beyond questionnaires to gather data. This study contributes to the existing body of knowledge by highlighting the nuanced role of student interest in leveraging technology-enhanced learning tools for academic success in mathematics.
Purpose: To provide reference promoting the construction of nursing courses through the analysis of research hot spots on ideological and political education in nursing courses in China; Methodology: CiteSpace and VOSviewer software were used to visualize the pertinent literature that was downloaded from CNKI, Wanfang, VIP database before December 31, 2023; Results: A total of 918 literatures were included, and the publications, authors, institutions, journals, course type, keywords of the literature were analyzed. The number of published papers had increased year by year. Publishing institutions were primarily schools, authors were mostly independent researchers, published journals were relatively concentrated, with most of them being general or provincial journals, and courses are mostly theoretical. Hotspots for current research include the integration of nursing courses in higher vocational colleges and the mining of Ideological and political elements; Conclusions: Curriculum ideology and politics have received extensive attention from nursing educators. In the future, it is necessary to strengthen the exchanges between different research institutions such as schools and hospitals, pay attention to the depth of research, develop educators' political and ideological ability, actively use a variety of teaching methods, and integrate political and ideological elements into the teaching of a diversified curriculum, so as to provide talent guarantee for the realization of "Healthy China".
Open Access
, 
Journal Metrics
Journal Overview
Associated Journals