Pages: 1-18

Published online: 2024-12-30

Abstract: Coaching and mentoring techniques are essential tools for optimizing institutional educational management. These methods are frequently used by educational leaders to facilitate positive change, improve performance and enhance the satisfaction of teachers, support staff and students. Coaching is an effective means for educational leaders to manage the dynamics of rapid change in the education sector. It provides a supportive framework and an open communication environment in which administrators can improve their managerial skills, strategic thinking and leadership vision. Through coaching, they receive constructive feedback and opportunities to develop the skills needed for effective leadership. Mentoring, in turn, plays a significant role in institutional educational management and has a long-term impact. It provides individualized support, professional guidance and opportunities for reflection on the challenges faced by educational leaders in the course of their work. Through mentoring, they can learn to adapt to change, identify key management issues and hone their professional skills. Coaching and mentoring are fundamental tools for the development of educational leadership, helping to create an environment conducive to both the individual development of leaders and the improvement of the educational process and strengthening the school community. The head of the educational institution has a central role in the new interpersonal communication framework, with responsibility for ensuring equitable access to the information needed for clear and effective communication. He/she acts as a facilitator, promoting an organizational climate based on accountability, collaboration and mutual respect. In addition, the Director ensures that all participants in the communication process comply with ethical rules and behave appropriately, avoiding non-constructive language. He/she also ensures that the messages conveyed are clear, concise and unambiguous, thus contributing to the reinforcement of an institutional culture based on transparency and effective communication.

Keywords: coaching, performance

Pages: 19-42

Published online: 2024-12-30

Abstract: Cybersecurity faces mounting challenges as digital systems grow more complex and interconnected, necessitating innovative approaches to counter escalating threats. This study explores the evolving research landscape where artificial intelligence (AI), particularly machine learning and deep learning, emerges as a critical enabler for detecting, mitigating, and preventing cyberattacks. Utilizing a bibliometric analysis of over 10,000 publications from 2022 to 2024, this research examines key trends, thematic priorities, and collaborative dynamics shaping AI-driven cybersecurity solutions. Data collected from the Web of Science Core Collection was analyzed using Biblioshiny to map intellectual foundations, identify influential sources, and construct co-occurrence networks of core concepts. The findings reveal a field dominated by datacentric methodologies, with terms like "learning," "data," and "model" highlighting the integration of AI into anomaly detection, predictive analytics, and system defense. Geographic analysis underscores China's leadership in research productivity, complemented by strong international collaboration from countries like the United Kingdom and Australia. Thematic clusters highlight emerging concerns such as IoT security, privacy protection, and cloud resilience, emphasizing the ethical and practical implications of AI applications. This study demonstrates that AI is fundamentally reshaping cybersecurity, enabling scalable and adaptive solutions to meet evolving threats. Future research must continue fostering interdisciplinary collaboration and ethical innovation to ensure AI technologies remain robust and equitable tools in safeguarding digital ecosystems.

Keywords: artificial intelligence, cybersecurity, machine learning, data privacy, IoT security