AI-Powered Personality Analysis Using Gemini 2.5 Pro

In the era of artificial intelligence, a new form of economy has appeared. Accordingly, it is necessary to adapt to the new era of technical skills, compound and innovative talents. As an important position for training technical talents, higher vocational colleges show new characteristics in the era of artificial intelligence and need to innovate the training mode of talents. Based on this, the article will analyze the difference between higher vocational education and undergraduate vocational education, and focus on the analysis of the innovative path and strategy of higher vocational education to train talents in the era of artificial intelligence, to cultivate innovative skilled talents who adapt to the era of artificial intelligence and meet the needs of the development of society and the era [1].

This paper aims to examine the relationship between personality traits (extraversion, neuroticism, agreeableness, openness, and conscientiousness) and cigarette smoking behavior and also determine the moderating effect of self-efficacy on the relationship between personality traits and cigarette smoking behavior among adolescents in Kerman, Iran. A quantitative research method was employed. The samples included three hundred current smoker adolescents between the ages of 15 to 18. The data was collected by means of self-administered questionnaires and then analyzed by AMOS software. The direct structural model was employed to figure out the path relationships between personality traits (extraversion, neuroticism, agreeableness, openness, and conscientiousness) and cigarette smoking behavior. In addition, a multi-group analysis approach was applied to assess the moderating effect of self-efficacy on the relationship between personality traits (extraversion, neuroticism, agreeableness, openness, and conscientiousness) and cigarette smoking behavior among adolescents. The results of testing the structural equation model showed that there were significant relationships between personality traits (neuroticism and conscientiousness) and cigarette smoking behavior whereas there was no significant relationship between personality traits (extraversion, agreeableness and openness) and cigarette smoking behavior. Also, the results related to the moderating effect of self-efficacy revealed that self-efficacy significantly moderated the effect of neuroticism on cigarette smoking behavior but did not moderate the relationship of other personality traits i.e. extraversion, openness, agreeableness and conscientiousness with and cigarette smoking behavior. At the end, this study recommends some solutions in order to prevent cigarette smoking behavior among adolescents.

The concept of privacy has broad ramifications, and it is implemented in a number of disciplines, ranging from philosophy to computer science, political science and legal science. This paper covers the impact of artificial intelligence on privacy protection, especially in the finance sector. Privacy protection is associated with control over information about personal data, also known as private information. This research is a normative legal research of analytical nature, and it is conducted by studying and interpreting theoretical matters relating to the principles, conceptions, doctrines and legal norms pertaining to the problems. The results of this research show that the concept of privacy in the era of artificial intelligence in Indonesia is best achieved by combining comprehensive rules with self-regulation to serve as a balancing agent between laws and technology in order to control and fulfill the protection of personal data in the era of artificial intelligence.

Artificial intelligence is an important feature and development trend of today's era, which has had a profound impact and challenge on various industries, including libraries as important institutions of knowledge service. The application of artificial intelligence technology provides new opportunities and possibilities for libraries, and also puts forward new requirements and expectations for the professional competence of librarians. Starting from the challenges and opportunities faced by librarians in the era of artificial intelligence, this article analyzes the connotation and composition of the professional competence of librarians, explores the goals, contents and approaches of professional competence construction for librarians in the era of artificial intelligence, and aims to provide references for improving the professional quality and service level of librarians and promoting the innovative development of library services.

The era of artificial intelligence has brought opportunities and challenges to liberal arts education. In terms of opportunities, personalized learning becomes possible, the application of intelligent educational tools to improve the teaching effect, the rich diversity of teaching resources to promote the diversification of teaching content, and the innovation of teaching mode to stimulate the innovation of education methods. However, liberal arts education also faces many challenges in the era of artificial intelligence. Data privacy and security concerns threaten the rights of students and teachers, the role of teachers needs to be redefined to meet the challenges of technological development, and algorithmic bias and discrimination can affect the equity and quality of education. Therefore, liberal arts education in the era of artificial intelligence needs to grasp the opportunities while seriously addressing the challenges, through strengthening data security protection, promoting teacher professional development, promoting the integration of technology and humanities and other measures to achieve sustainable development and progress of liberal arts education.

In the context of the era of intelligence, China is facing the dilemma of serious shortage of high-skilled talents, and the integration of BanMo Craftsmanship and vocational education is a new impetus to solve the current talent bottleneck. This paper focuses on the new era connotation of BanMo Craftsmanship and its core value in the context of artificial intelligence, analyses the new trend of application of BanMo Craftsmanship in the era of artificial intelligence, and explores the integration path of BanMo Craftsmanship and vocational education in the era of artificial intelligence.

DeepSeek is reshaping the higher education model in all aspects by assisting differentiated teaching and personalized learning, promoting flat teaching management processes, creating interactive learning modes with deep participation, creating intelligent paths for boundaryless learning, providing accurate and comprehensive data-driven feedback, and enhancing global education equity and inclusiveness. For better applying artificial intelligence to promote the development of higher education, this study summarizes the main scenarios in which DeepSeek R1 contributes to the sustainable development of higher education. The development strategy of higher education in the era of intelligence is obtained, which includes improving teacher literacy we should continue to promote the healthy and innovative development of education models, actively deepen artificial intelligence to assist in the construction of teacher teams, enhance the interpretability of education models, improve the precision support of personalized learning, real-time detect and regulate student emotions, construct a scientific evaluation system for large models, bridge the global education digital divide, establish an ethical and moral framework for artificial intelligence, strengthen the cross-cultural adaptability of intelligent collaboration, and help lifelong learning and sustainable social development.

BackgroundThe rapid evolution of large language models (LLMs) has ushered in a new era of artificial intelligence (AI) with unprecedented capabilities in understanding and generating human-like text. This progress has sparked a burgeoning interest in applying LLMs across diverse fields, including healthcare. However, the use of LLMs in mental health remains a complex area that demands rigorous investigation. This systematic scoping review aims to explore the current landscape of LLM applications in mental health, identify key research trends and gaps, and delineate the ethical and practical boundaries, thereby providing a comprehensive framework for future research and clinical practice.MethodsThis study adheres to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A comprehensive search was conducted across eleven databases (Web of Science, Scopus, PubMed, Medline, CINAHL, Cochrane, ACM Digital Library, IEEE Xplore, ScienceDirect, APA PsycInfo, and Google Scholar). A total of 29 articles were ultimately included in the study.ResultsThe application of LLMs in mental health is strategically focused on high-throughput screening and clinical augmentation. The application landscape is characterized by domain specialization, with the focus shifting from general models to specialized BERT models to achieve higher clinical accuracy, particularly for high-prevalence disorders such as depression and high-risk conditions. Data analysis is powered by massive, unstructured corpora from social media, supplemented by the systematic incorporation of structured clinical knowledge. However, significant limitations exist, including insufficient cultural sensitivity in non-Western contexts, challenges in capturing longitudinal patient history, and critical risks related to model value alignment and the generation of clinically misleading information.ConclusionLLMs have emerged as sophisticated “Mental Health Agents” with immense potential for providing personalized, knowledge-guided interventions. The core challenge for future development is to transcend basic functionality and achieve clinical rigor. Future research must prioritize deep specialization into psychological models, enhance multimodal integration for comprehensive patient assessment, and urgently develop robust ethical and cultural adaptation frameworks to ensure the models are safe, globally equitable, and reliable for clinical deployment, thereby fulfilling their potential to alleviate the global mental health resource crisis.

The advent of the artificial intelligence (AI) era presents significant challenges to traditional education, necessitating innovative approaches to teaching methods. Integrating artificial intelligence into classroom instruction to enhance course quality has become a pressing concern. This study explores the design of macroeconomics courses in the context of artificial intelligence, addressing the limitations of traditional teaching methods and highlighting the potential benefits of AI integration. These advantages include personalized learning experiences, increased teaching efficiency, enhanced interactivity, real-time feedback, and access to expanded teaching resources. Building on these insights, the research proposes a comprehensive framework for innovating macroeconomics courses design. First, it emphasizes content innovation, which involves integrating AI-related economic phenomena and frontier developments in the discipline. Second, it focuses on methodological innovation, leveraging AI-powered tools to facilitate teaching and incorporating practical, hands-on learning experiences. Finally, it advocates for assessment reform, emphasizing process-oriented evaluations and introducing diverse, multi-dimensional assessment methods. These innovative strategies are shown to enhance the quality of macroeconomics education, improve student learning outcomes, and better align educational programs with the demands of a rapidly evolving economy in the AI era.

The artificial intelligence (AI) era has posed a great challenge to the cultivation of labour values in schools and universities, while labour values, whose theoretical logic originates from the dialectical unity relationship between the subject and object of labour, are the core in labour education. Labour values are embodied by labour subjectivity and developed by labour practicality. The research takes the bidirectional relationship between AI and labour education as the theoretical perspective to locate three major problems confronted by labour education: (1) educational administration in schools and universities; (2) separation between technique and morality; (3) binary opposition between mental and manual labour. In this case, labour education in schools and universities should adhere to the proper value orientation of labour education, promote the inter-coordination between labour skills and labour values, and pursue a system that integrates the five education dimensions—morality, intelligence, physique, aesthetics, and labour.

This literature review aims to identify the impact of innovative entrepreneurship on welfare and employment in the era of automation and artificial intelligence. Through an examination of various previous empirical and theoretical studies, rapid technological developments through automation and artificial intelligence have brought about major transformations in global entrepreneurship patterns, such as accelerating efficiency and new innovation opportunities for entrepreneurs. However, there are challenges in the form of a digital skills gap and the potential for a reduction in human-based jobs, requiring entrepreneurs to develop entrepreneurship strategies that are oriented towards human empowerment while remaining relevant in the era of automation and artificial intelligence. The results of this review confirm that entrepreneurial success in this era is not only measured by economic growth, but also by its ability to maintain a balance between technological innovation and social welfare. This study is expected to serve as the basis for the development of conceptual models and further research directions related to sustainable entrepreneurship and human welfare in the era of automation and artificial intelligence.

Purpose: The article's primary goal is to analyze artificial intelligence's (AI) development in the educational system. Design/methodology/approach: In the article, deep analysis of the consequences of technological progress For process teaching, identifying challenges and opportunities related to dynamic AI development. Underlined the necessity of facing changes in education appearances the AI and valuable looking at the implications for ways driving lessons, content teaching, and self-education. Findings: AI is a new way of solving problems, especially during crises. The new technologies determine the way and the speed of problem-solving. The new era of education requires modern methods concerning AI. Research limitations/implications: The surveys discussed in this article may contribute to further empirical studies, including but not limited to initiating works to improve innovation in artificial intelligence. Practical implications: Education in the age of AI demands a holistic approach, connecting modern technologies with traditional teaching methods and considering the ethical and social aspects of technological development. Originality/value: Originality work is about a consistent approach based on research literature, which can be a basis for further empirical research regarding the impact of AI on education and modification of learning methods. Keywords: educational technology, artificial intelligence, future education, education 4.0. Category of the paper: General overview, Research paper.

The need for a transformation in providing healthcare has been recognized by organizations and captured in reports. Research into Smart Health using Artificial Intelligence (AI) could help identify the mental health of individuals by analyzing physiological data. The complexity of emotions can make it challenging for an individual to recognize they are coping with mental illness. AI could be used as an objective method in recognizing mental health crisis. This is where smart emotion could help as a Human-in-the-loop system that can reduce the time it takes for an individual to get treatment by identifying mental illness. Early treatment of mental health crises can lead to an overall reduction in damage caused by it. Further, COVID-19 has overwhelmed many healthcare systems, leading malicious actors to target them, highlighting many Cybersecurity issues. AI could aid in addressing Cybersecurity concerns to create a robust and secure Human-in-the-Loop system for mental health problems.

This article focuses on analyzing fathers' communication patterns in shaping early childhood science skills in the era of Artificial Intelligence (AI). The main problem identified is the changing dynamics of communication between fathers and children, and its potential impact on the development of children's science skills. The purpose of this study is to identify effective father communication patterns in stimulating children's interest and science skills in the AI era. The research method was qualitative case study of five fathers. Data were collected through interviews, observations, and content analysis of father-child interactions in the context of science learning. Then analyzed using the Miles Huberman model and then data validity with data triangulation. The results showed that father's communication focused on open-ended questions, presenting information with a creative approach, and using AI technology as a learning tool can improve children's science skills. Fathers' understanding and support of technological development is also a key factor in building children's science literacy in the AI era. The findings contribute to practical understanding for parents, educators and policy makers to shape a communication environment that supports the development of children's science skills. The practical implications can be applied in designing family education programs and science learning strategies for early childhood that are appropriate to the development of AI technology.

AI is one of the development themes of the current era, and the broadcasting and hosting industry is also facing tremendous development and change in the field of AI. AI anchorman can reconstruct the media ecology of the traditional broadcasting and hosting industry and bring new opportunities to the television industry. They have unique development advantages. On the contrary, AI anchorman also has development disadvantages related to functional and business defects. In the era of artificial intelligence, traditional hosts need to upgrade their business under the impact of technology to ensure their own development. At the same time, they should embrace artificial intelligence with a more open attitude and cooperate with AI anchors actively to build a new form of the industry.