In agriculture, crop yield and quality are critical for global food supply and human survival. Challenges such as plant leaf diseases necessitate a fast, automatic, economical, and accurate method. This paper utilizes deep learning, transfer learning, and specific feature learning modules (CBAM, Inception-ResNet) for their outstanding performance in image processing and classification. The ResNet model, pretrained on ImageNet, serves as the cornerstone, with introduced feature learning modules in our IRCResNet model. Experimental results show our model achieves an average prediction accuracy of 96.8574% on public datasets, thoroughly validating our approach and significantly enhancing plant leaf disease identification.

The profound impact of China's concept of healthy development on various fields of society has influenced the mode of university education, and has gradually undergone changes in actual teaching modes, ways of thinking, and technologies. As one of the important educational courses in universities and sports departments, the reasonable introduction and implementation of functional training models in practical guidance can deepen students' learning of basic dance and skills, and further improve the performance of the dance stage. As a mentor, teachers should play the role of functional guidance essentials based on students' differentiated training abilities, optimize educational content from students' physical function training, and make adjustments. The professional functional training method is adopted to establish the practical application and promotion of functional training in university physical education.

Sustainable hybrid education is an educational approach that combines multiple kinds of instruction. Online education and traditional face-to-face education will be implemented in tandem to propel the educational process towards contemporary approaches, with the aim of achieving high-quality outcomes and staying abreast of scientific and technical advancements. The objective of this study is to determine the correlation between hybrid education, which is a sustainable model, and the academic performance of graduate students in select Egyptian universities, based on international quality criteria. The study employed a descriptive analytical methodology, and data was collected using a meticulously designed computerized questionnaire, whose validity and reliability were verified using proper statistical techniques. The study sample comprised 2235 postgraduate students enrolled in Egyptian universities, specifically Cairo, Helwan, and Ain Shams. The study’s findings determined that the extent of hybrid education and the efficacy of the procedure. The sample members possess a high level of education, and hybrid education has a significant positive influence on the quality of the educational process. Hybrid education mostly impacts the academic components, and there are variations among universities in implementing hybrid education, with Ain Shams University being particularly favorable towards it. The study proposed enhancing the university’s human resources for students, faculty, and staff, as well as assuring the availability of diverse gadgets and resources utilized in the hybrid education setting.

This article aims to explore the training model of preschool physical education teachers based on the theory of "space, capital, and habits". Preschool physical education plays an important role in the development of children's physical fitness and cognitive abilities. This article first introduces the theory of "space, capital, and habits", including its definition and core concepts, as well as its application value in teacher training. Subsequently, a training model for preschool physical education teachers based on this theory was proposed, which includes three elements: space, capital, and habits. In terms of space, it is emphasized to create an environment and place conducive to the professional development of preschool physical education teachers, such as the construction of training institutions and internship bases, and the support of teaching environment and resources. In terms of capital, emphasis is placed on cultivating the professional knowledge and abilities of preschool physical education teachers, including curriculum design and teaching methods, teacher team construction, and professional development mechanisms. In terms of habits, emphasis is placed on cultivating the professional literacy and educational attitude of preschool physical education teachers, including practical links and social participation, evaluation and feedback mechanisms. This training model aims to improve the quality and effectiveness of preschool physical education teacher training, and provide theoretical guidance and practical suggestions for preschool physical education teacher training.

This study examines the relationship between macroeconomic determinants and education levels in eight selected African oil-exporting countries (AOECs) over the period 2000–2022. Drawing on human capital theory, the paper scrutinizes the impact of factors such as income inequality, health outcome, economic growth, human development, unemployment, education expenditure, institutional quality, and energy consumption on education levels. Employing robust estimation techniques such as fixed effects (FE), random effects (RE), pooled mean group (PMG) and cross-section autoregressive distributed lag model (CS-ARDL), the study unveils vital static and dynamic interactions among these determinants and education levels. Findings reveal notable positive and significant connections between education levels and some of the variables—human capital development, institutional quality, government expenditure on education, and energy consumption, while income inequality demonstrates a consistent negative relationship. Unexpectedly, health outcomes exhibit a negative impact on education levels, warranting further investigation. Furthermore, the analysis deepens understanding of long-run and short-run relationships, highlighting, for example, the contradictory impact of gross domestic product (GDP) and unemployment on education levels in AOECs. Finally, the study recommends targeted human development programs, enhanced public investment in education, institutional reforms for good governance, and sustainable energy infrastructure development.

This research was conducted using a survey research method to investigate the influence of Artificial Intelligence (AI) on Nigerian students’ academic performances in tertiary institutions. Nigerian tertiary institutions have an estimated population of about 2.5 million students across the universities, polytechnics, monotechnics, and colleges of education. A sample size of 509 was used. The researchers adopted an online questionnaire (Google Form) to administer questions to respondents across Nigeria to elicit responses from the respondents bordering on their awareness and the use of AI and its attendant impacts on their academic performance. Five research objectives were raised for the proper investigation of this study. From the findings of the study, the researchers found that the majority of Nigerian students use AI and that AI has positive impacts on the educational performance of Nigerian students. It was also found that Nigerian students have training on the use of AI for educational purposes and that they are more familiar with Snapchat AI and ChatGPT. Conclusively, AI is useful to students in the sense that it enhances their knowledge of their courses, improves their learning and speaking skills, and helps them to have a quick understanding of their course by way of simplifying technical aspects of their courses. The researchers therefore recommend as follows: Nigerian tertiary institutions should formally train students as well as teachers on the use of AI for academic purposes so that they can understand the ethical implications of the use of AI. Using AI for writing could be interpreted to mean examination malpractice, and this should not be condoned in the educational sector; however, at the moment, a small number of students used AI for examinations. Albeit, the appropriate use of AI should be fully integrated into Nigerian tertiary institutions’ curricula.