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The Roles of the Peer, Teacher-Student, and Family Relationships in Promoting Student Social and Emotional Development
Get PDFSocial and emotional skills are crucial for interpersonal interactions. peer, teacher-student, and family relationships are core factors in the socialization of adolescents, constituting important components of the educational environment that influences their social and emotional development. based on the data of chinese students from the second round of the oecd survey on social and emotional skills (sses), this study examines the effects of peer, teacher-student, and family relationships on the development of social and emotional skills in chinese students, using the method of hierarchical linear modeling (hlm). it aims to provide evidence-based insights for the future cultivation of social and emotional skills among chinese teenagers
The Effect of STEM Activities in Out-of-School Learning Environments on the Scientific Creativity of Middle School Students: Insect Hotel
Get PDFThis study aimed to determine the effect of the implementation of the STEM content “insect hotel” activity in out-of-school learning environments on the scientific creativity of middle school students. In the study, a quasi-experimental model with a pre-test post-test control group was used, which is one of the quantitative research methods. While the lessons were processed with STEM content activities in out-of-school learning environments in the experimental group, the lessons were carried out with current curriculum prepared by the Ministry of National Education in the control group. In the study conducted with 50 students, data were collected using the Scientific Creativity Test. Descriptive statistics and ANCOVA were used in the data analysis. It is observed that scientific creativity skills are at a higher level in the experimental group where STEM education is applied in out-of-school environments than in the control group where the current program is applied, and that STEM activities in out-of-school environments have a significant effect on students’ scientific creativity skills. It is thought that the application of STEM content activities in out-of-school learning environments is the biggest factor in increasing the creativity dimension of students by thinking, discussing and designing on the problem rather than theoretical knowledge
Artificial Intelligence and Block-Based Coding in Science Education: Graduate Student Insights
Get PDF This qualitative case study explored graduate students’ views (n=6) on AI-supported applications and an AI-enabled block-based coding tool (PictoBlox) in science education. Data were gathered over a 39-hour implementation via a semi-structured interview form and screen captures from the activities, and analyzed with content analysis. Participants perceived AI tools as time-saving and pedagogically enriching, while emphasizing ethics and data security. PictoBlox’s AI add-ons (e.g., natural language processing, image processing, machine learning) were seen to support concretization, visualization, and interactive content creation. Reported challenges concerned activity design and block creation skills. We discuss implications for teacher education, including targeted training on AI-supported lesson planning and assessment design, and guidance on ethical/data-protection practices. Limitations (convenience sampling, small n, self-report) constrain generalizability. Future research should replicate with larger, diverse cohorts and triangulate with classroom observations
AI-Assisted Translation Technology Poses New Challenges to Translation Competence Development in Human Translators
Get PDFHistorically, major technological innovations have invariably brought transformative changes to various sectors of human society, and technology has played a crucial role in extending human capabilities. Currently, the application of generative artificial intelligence (GenAI) technology has resulted in significant breakthroughs in the field of translation, substantially transcending the capabilities of traditional machine translation (MT) tools. Traditional MT primarily relies on predefined rules and corpora for mechanical language conversion, whereas GenAI systems like ChatGPT and DeepSeek exhibit greater capacities to accurately understand the semantics, context, and cultural background of the text and can generate more natural and fluent translation outputs through deep learning and natural language processing. In addition, GenAI systems can automate the processing of large volumes of textual data, instantly producing high-quality drafts of translations, and continuously improve translation accuracy through ongoing learning and optimization (Wang & Chen, 2025)
Assessment of Translation Competence Development Needs of Foreign Language Majors at Guangxi University of Foreign Languages
Get PDFThis study investigated the translation competence (TC) development needs of foreign language majors at Guangxi University of Foreign Languages (GUFL) amid the AI-driven transformation of the translation industry. Employing a quantitative approach, the study administered a questionnaire to a sample of 359 students, with data analyzed via SPSS for descriptive statistics, correlation, and gap analysis. The research identified ten TC dimensions: Strategic Competence (SC), Critical Thinking (CT), Language Competence (LC), Intercultural Competence (IC), Translation Knowledge (TK), Thematic Competence (ThC), Technology Competence (TechC), Personal Competence (PC), Interpersonal Competence (IpC), and Project Management Competence (PMC). Results revealed significant gaps between current and expected levels of TC across all dimensions (p<0.001), with the largest disparities observed in LC and SC. Correlation analysis demonstrated strong interdependencies among all dimensions, and CT emerges as a central connector linking SC, LC, and IC. CT also showed strong correlations with TK, ThC, TechC, and PMC, and moderate correlations with PC and IpC. The findings validated the holistic nature of TC and highlighted the urgency to integrate human-centric communication with digital literacy in translator training. Based on empirical survey results and relevant theories, an Integrated Digital and Human Communication Platform is proposed to address the needs of TC development. The study enriched the literature on TC models and provided valuable insights for translation education
Is There Hope to Switch Traditional Plastics into Sustainable?
Get PDFPlastics, once hailed as revolutionary materials, have become one of the greatest environmental burdens of modern society. The global reliance on petroleum-based plastics, driven by durability, affordability, and versatility, has fueled exponential growth in production but also intensified ecological damage. Microplastics pollute ecosystems, greenhouse emissions accelerate climate change, and waste management systems are overwhelmed. Yet, a paradigm shift is emerging: the pursuit of sustainable alternatives. From bioplastics derived from renewable biomass to recyclable and biodegradable polymers, innovation is accelerating. Governments are enacting stricter regulations, industries are investing in circular economy strategies, and consumers are increasingly demanding greener choices. Still, challenges persist, including scalability, cost competitiveness, infrastructure readiness, and the real environmental trade-offs of “green” plastics
Human Development and Crisis Management: The 1:3 Imbalance Paradigm
Get PDFHuman civilization progresses through innovation, culture, and social organization, yet its trajectory is rarely linear or evenly paced. Across history, the energy and resources required to manage crises—ranging from pandemics, wars, environmental disasters, to plastic and pollution management—have consistently outstripped the effort devoted to steady development. This imbalance can be conceptualized as a “1:3 model”: for every unit of progress, three units of effort are consumed in crisis response. This paradigm highlights both structural vulnerabilities and adaptive strengths of humanity, emphasizing the need for proactive strategies that shift the balance toward sustainable development. By analyzing historical examples, systemic causes, modern environmental crises, ethical dimensions, and potential future interventions, I explore how the 1:3 imbalance shapes societies and the implications for governance, technology, and global cooperation
The Role of General Artificial Intelligence in Digital Literacy Training: An Empirical Study Based on the Information Technology Course
Get PDFThe digital transformation of human society is accelerating as a result of the introduction of new-generation information technology (IT) like artificial intelligence (AI) and big data, and digital literacy has become an essential skill in the digital era. In this context, digital literacy training is deemed a crucial component of modern basic education. However, current digital literacy education in many schools remains focused on the operational use of digital tools with disregard for the human-machine-collaboration-assisted autonomous learning, which is highly advocated in the intelligent era. This dampens digital literacy development in students. Meanwhile, researchers found that generative artificial intelligence (GAI) has the potential to create flexible, open, and inclusive human-machine collaboration environments, facilitating students’ self-organized learning. Based on the self-organized learning theory, this article advances the GAiSOLEs (generative AI-based self-organized learning environments), an instructional model for fostering students’ digital literacy, with a quasi-experimental study conducted with the information technology classes to verify the effects of the model on student digital literacy development
What Happens When Science Fiction Is Introduced into Science Classes?
Get PDFScience fiction (sci-fi), whether in literature or films and comics, can always spark colorful visions in the audiences. Despite being a genre of speculative fiction, sci-fi works typically includes serious scientific elements. What impacts can they pose on science education if they are introduced in the classroom? Do they have the potential to become significant resources for science education, or will they probably be a source of distraction and causes of misconception in science classes? Extensive research has been conducted for addressing questions like these
Analysis of the Factors Influencing Junior High School students’ Academic Performance and the Construction of a Prediction Model
Get PDFAcademic performance is a critical factor in determining the future academic path and the possibility of social class mobility of junior high school students. Exploring the influencing factors of academic performance and predicting them can help provide empirical evidence for a comprehensive and objective evaluation of students’ academic performance. Using CEPS 2014- 2015 data, we analyze the influencing factors of junior high school students’ performance based on the I-E-O model, use a nomogram to predict the likelihood of students’ achievement of excellent results, and visualize and analyze the important factors. It was found that, in terms of psychological characteristics, students’ and their parents’ educational expectations had a much greater impact on academic performance. Additionally, students’ motivation and persistence significantly influenced their academic performance. In terms of demographic characteristics, we found notable differences between boys and girls, with girls outperforming boys academically. In terms of student involvement, time spent on school homework and in cram schools has a significant impact on academic performance, but the impact of attending cram schools is negative. Finally, in terms of school characteristics, the level of school per student expenditure had a significant effect on achievement