Social media has become one of the primary sources of communication, information, entertainment, and learning for users. Children gain several benefits as social media helps them acquire formal and informal learning opportunities. This research also examined the effect of social media on formal and informal learning among school-level children in Ajman, United Arab Emirates (UAE), moderated by social integrative and personal integrative needs. Data was gathered by using structured questionnaires, which were distributed among a sample of 364 children. Results revealed that social media significantly affects Informal and formal learning among children, indicating its usefulness in child education and development. The results also indicated a significant moderation of social integrative needs on social media’s direct effect on informal learning, indicating the relevant needs as an important motivating factor. However, the moderation of personal integrative needs on social media’s direct effect on formal learning remained insignificant. Overall, this research highlighted the role of social media in providing learning opportunities for children in the UAE. It is concluded that children actively seek gratifications from social media, shaping their learning within structured educational contexts in their daily lives. Through the lens of UGT, certain needs play a critical role in strengthening the gratification process, affecting how children derive learning advantages from their interactions on social media platforms. Finally, implications and limitations are discussed accordingly.

In the dynamic landscape of modern education, the integration of vocational education and intelligent technologies has emerged as a pivotal strategy for fostering lifelong learning. This essay delves into the synergistic relationship between vocational education and the era of intelligent education, highlighting their collective potential to empower individuals with skills that transcend traditional boundaries.

In the realm of modern education, the integration of technology has emerged as a powerful catalyst for transforming traditional classrooms into dynamic and engaging learning environments. This paper provides a concise overview of the multifaceted ways in which technology contributes to enhanced classroom engagement.

Recognizing the discipline category of the abstract text is of great significance for automatic text recommendation and knowledge mining. Therefore, this study obtained the abstract text of social science and natural science in the Web of Science 2010-2020, and used the machine learning model SVM and deep learning model TextCNN and SCI-BERT models constructed a discipline classification model. It was found that the SCI-BERT model had the best performance. The precision, recall, and F1 were 86.54%, 86.89%, and 86.71%, respectively, and the F1 is 6.61% and 4.05% higher than SVM and TextCNN. The construction of this model can effectively identify the discipline categories of abstracts, and provide effective support for automatic indexing of subjects.

Even in the late stages of the COVID-19, the physical and psychological trauma caused by the epidemic continues to affect people, particularly university students, whose physical and psychological health is vulnerable to environmental influences. The purpose of this article is to investigate the relationship between learning adaptability and “state” anxiety among university students enrolled during the COVID-19(2020-2022), as well as the role of self-management in mediating this process. The findings reveal a negative association between college students' academic adjustment and their state anxiety, a process that also includes a mediation role for self-management, with subjects in this research being college students enrolled during COVID-19. This study offers a theoretical foundation for investigating the factors influencing anxiety from an operationalized viewpoint, as well as for further effective regulation of university students' mental health and anxiety reduction.