The field of education is witnessing a significant shift towards the integration of computational thinking, digital tools, and artificial intelligence. Researchers are exploring innovative approaches to enhance curriculum resilience, develop critical skills, and promote culturally adaptive AI adoption. A key direction in this field is the development of serious games and simulations to analyze trigger events and their impacts on curriculum structures. Additionally, studies are investigating the presence and integration of computational thinking in school curricula across various countries, highlighting the importance of digital tools in developing cognitive and analytical competencies. The use of large language models for career guidance is also being examined, with a focus on recognizing country-specific factors and cultural sensitivity. Furthermore, research is emphasizing the need for decolonial approaches to AI in education, emphasizing contextual relevance and cultural awareness. Noteworthy papers in this area include: Evaluating LLMs for Career Guidance, which compares the performance of open-source and proprietary models in recognizing country-specific factors, and Cultural Dimensions of Artificial Intelligence Adoption, which investigates the influence of cultural contexts on AI adoption patterns and their consequences for human daily life.