This study focuses on the improvement strategy of information technology application ability of science education teachers and students under the background of informatization. Firstly, the current status of informatization of science education and the importance of the information technology application ability of teacher training students are analyzed. Subsequently, the promotion strategies were discussed, including curriculum design and implementation, teacher training and development, provision of practice environment and conditions, and construction of evaluation mechanisms. These strategies are expected to systematically improve the information technology application ability of teacher training students and provide effective support for the development of science education. However, these strategies also need to be tried and refined in practice to adapt to the development needs of information technology and science education.

In the wake of the COVID-19 pandemic, the prevalence of online education in primary education has exhibited an upward trajectory. Relative to traditional learning environments, online instruction has evolved into a pivotal pedagogical modality for contemporary students. Thus, to comprehensively comprehend the repercussions of environmental changes on students’ psychological well-being in the backdrop of prolonged online education, this study employs an innovative methodology. Founded upon three elemental feature sequences—images, acoustics, and text extracted from online learning data—the model ingeniously amalgamates these facets. The fusion methodology aims to synergistically harness information from diverse perceptual channels to capture the students’ psychological states more comprehensively and accurately. To discern emotional features, the model leverages support vector machines (SVM), exhibiting commendable proficiency in handling emotional information. Moreover, to enhance the efficacy of psychological well-being prediction, this study incorporates an attention mechanism into the traditional Convolutional Neural Network (CNN) architecture. By innovatively introducing this attention mechanism in CNN, the study observes a significant improvement in accuracy in identifying six psychological features, demonstrating the effectiveness of attention mechanisms in deep learning models. Finally, beyond model performance validation, this study delves into a profound analysis of the impact of environmental changes on students’ psychological well-being. This analysis furnishes valuable insights for formulating pertinent instructional strategies in the protracted context of online education, aiding educational institutions in better addressing the challenges posed to students’ psychological well-being in novel learning environments.

This paper aims to explore the impact of V-Girls APP on the improvement of female college students' Health literacy and its mechanism. Using a questionnaire survey method, the survey subjects were female students from a certain university. The results showed that using the V-Girls app can significantly improve the health knowledge level, health behavior habits, and mental health status of female college students. Further analysis reveals that the impact mechanisms of V-Girls APP mainly include cognitive mechanisms, social support mechanisms, and behavioral guidance mechanisms. The results of this study provide new ways and ideas for improving female college students' Health literacy.

In the perspective of this article, the intercultural influences are viewed through the lens of educational benefits likely to be acquired by students following international socio-educational exchange programs. A model analysis is proposed based on these benefits on students majoring in economic areas, and it has been based on the perspective of influences through education and interaction with different cultures as compared to those of which the individual belongs to, respectively social influence. The research carried out was based on the observations made throughout a five-year period, between 2013 and 2018, regarding the evolution of students participating in the Erasmus programs. The analysis of the international socio-educational experience of people who studied abroad at a foreign university for a certain period of time was the starting point to design a research methodology so that the proposed topic could be investigated by collecting, structuring and analysing qualitative data, considering the fact that qualitative data will allow the discovery of associations of features, respectively of the benefits of personal experiences, which can only be analysed and perceived through the lens of points of view of those who experienced them. The qualitative research included the analysis of students in economics majors participating in the Erasmus program during the academic year 2018–2019 at a small university. The interview technique was used and the processing and interpretation of the data was carried out using software specific to qualitative research. The analysis carried out focused on the identification of complex connections underlying in the answers received from the respondents, answers that allowed the outlining of conceptual maps related to the research objectives. The purpose of the analysis was to underline the intercultural influences as perceived throughout four processes: individual internalization, socialization, individualization and humanization. These influences are revealed by the outcome of the research, that is the five conceptual maps that have resulted. These conceptual maps represent a starting point for future similar researches.