Artificial intelligence (AI) is revolutionizing education, improving personalized learning, automating administrative tasks and increasing student engagement. As AI-based technologies such as machine learning, natural language processing, and adaptive learning systems evolve, their integration into educational environments is transforming traditional teaching methods. This article explores the impact of artificial intelligence on education, analysing both its potential benefits and challenges. The primary data collection tool was an online survey, developed and distributed via Google Forms during spring 2025. The questionnaire included rating scales, single-choice, and multiple-choice questions focused on familiarity and usage of AI, perceived benefits and risks, and evaluations of effectiveness. A total of 100 respondents, primarily drawn from higher education (students, teachers, academic staff) and supplemented by participants from secondary education. This sample reflects a variety of roles and educational backgrounds, ensuring a multi-perspective view. The survey explored knowledge and practical experience with AI-powered tools in education; effectiveness of specific tools (chatbots, adaptive systems, automated grading, etc.); and perceptions of benefits, challenges, ethical issues, and prospects for AI integration. The research used descriptive statistics to interpret results. Most respondents were familiar with AI and had used AI-powered tools in educational settings. Most agreed that AI positively impacts education, especially in areas like personalized and adaptive learning, automated grading and feedback, chatbots for student support, data-driven performance prediction, and reducing administrative workload for teachers. At the same time, concerns about privacy, bias, decreased human interaction, inequality of access, and over-reliance on technology were consistently rated as significant. These findings demonstrate that while AI is widely seen as beneficial, its integration must be managed thoughtfully to address associated risks.

The relevance of studying customer attitudes towards AI-driven support systems has grown significantly amid the expanding integration of artificial intelligence in service industries. This research aims to explore the perceptions, trust levels, and preferences of Polish consumers regarding AI in customer support, testing hypotheses related to trust, demographic influences, and user experience. The study was conducted through a structured online survey in Poland during 2025, involving 103 adult respondents representing diverse demographics, including age, gender, and education level, with both AI-experienced users and novices. Results revealed that 65% of respondents showed skepticism towards trusting AI for sensitive tasks, and only 34% endorsed full reliance on AI support, confirming limited trust. Despite a general preference for human interaction (82%), over half of participants supported AI as an initial contact with fallback options for human agents. The survey further indicated that younger respondents and those with prior AI experience exhibited higher acceptance levels. Additionally, 47% reported that positive AI interactions increased their future willingness to use such systems, while concerns over data security persisted among 55%. These findings underscore the necessity of developing hybrid, transparent, and personalized AI support models. Future research should focus on enhancing trust factors, ethical considerations, and adaptive learning to foster wider acceptance and efficacy of AI in customer service environments.

This study analyzes the management of employee behavior at Juno Fashion, a leading Vietnamese fashion retailer with more than 65 stores, to provide evidence-based insights for continuous learning in today’s knowledge economy. Employee behavior is a critical component of organizational success, particularly in retail, where frontline staff directly influence customer satisfaction and brand performance. Using a qualitative case study approach, the research integrates semi-structured interviews with 13 managers and frontline employees, a short survey, and secondary data from company reports and industry publications. The analysis focuses on four key dimensions of motivation, leadership, organizational culture, and knowledge development. Findings reveal that while Juno benefits from strong brand recognition and rapid expansion, challenges persist in motivating employees, ensuring consistent leadership practices, and providing adequate training to support digital transformation. Hierarchical cultural norms further limit communication and innovation. Externally, opportunities exist in Vietnam’s expanding consumer market, but competition from global fast-fashion retailers poses significant threats. The study recommends implementing structured recognition systems, leadership development programs, and comprehensive training initiatives, while fostering a more empowering organizational culture.

This study explores the evolution of messaging platform preferences in Ukraine over the past decade and presents the development of a Telegram-based chatbot aimed at improving customer support services. Using Google Trends data from January 2014 to March 2024, we analysed the relative popularity of major messaging applications, revealing a significant increase in Telegram usage and a decline in platforms such as Viber. These insights informed the choice of Telegram as the primary channel for deploying a customer service bot. The chatbot was developed using Python and the aiogram framework, selected for its asynchronous capabilities and efficient handling of real-time user interactions. The bot supports two user roles – customers and administrators – and includes functionalities such as live chat, manager allocation, scheduling, and user management, all backed by an SQLite database. The system is designed for scalability, ease of maintenance, and potential integration with additional services. The results demonstrate the effectiveness of combining trend analysis with targeted software development to address evolving communication needs. The chatbot provides a practical, scalable solution for businesses seeking to automate and improve their customer support processes. This project highlights the value of data-driven decision-making and modern development tools in creating responsive and efficient digital services.