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Leadership and Conflict Management

Learning Outcomes:

• Leadership Excellence: Understand the principles of good leadership in schools, exploring how it enhances teaching expertise and contributes to overall progress for all learners;

• Empowerment and Responsibility: Foster a culture of empowerment, self-directed learning, and responsibility within the school community, promoting a collaborative approach to leadership;

• Conflict Recognition and Understanding: Recognize the inevitability of conflicts in school environments and gain a comprehensive understanding of the underlying dynamics in micro-level societies;

• Conflict Management Strategies: Acquire skills to manage conflicts constructively, establish cooperative relationships, and develop integrative solutions to maintain harmony within the school community;

• Teacher’s Role in Conflict Resolution: Recognize the central role teachers play in handling conflicts within schools, and develop the ability to apply conflict management theories in various situations;

• Application to Classroom Learning Environments: Understand the relevance of conflict management skills specifically in the context of the school precinct and classroom, ensuring a positive impact on the teaching and learning process;

• Develop communication and social skills in English;

• Share best practices with teachers from other countries, cultures and backgrounds.

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Teaching with AI - Tools and Techniques

Learning Outcomes: 

• Distinguish AI myths from educational realities by analyzing key AI principles, capabilities, and current limitations.

• Select and utilize diverse ICT and AI tools (such as ChatGPT) to enhance classroom communication, collaboration, and content delivery.

• Develop engaging, innovative lesson plans that incorporate AI technologies and dynamic active learning strategies (such as problem-solving, debates, and brainstorming).

• Critically assess AI tools and detection applications for their pedagogical value, suitability, safety, and impact on student learning.

• Apply practical methods to monitor and measure how AI tools influence student engagement and learning outcomes using classroom data.

• Navigate the ethical, legal, and social implications of educational AI, including GDPR, data privacy, bias, and digital equity.

• Leverage AI tools to support inclusive education, ensuring technology implementation accommodates diverse learning needs.

• Adapt teaching practices continually by staying informed on emerging trends.

• Exchange effective teaching practices, cultural perspectives, and practical experiences with European colleagues across diverse contexts.

• Refine technical literacy, English communication fluency.