The field of educational technology is witnessing a significant shift towards the integration of artificial intelligence (AI) in computational thinking education. This movement is driven by the potential of AI to support instructional activities, enhance learning outcomes, and provide personalized learning experiences. Researchers are exploring the benefits and challenges of AI in computational thinking education, including its potential to reshape the field and its impact on student creativity. A key direction in this field is the development of hybrid educational approaches that combine traditional pedagogical methods with AI-driven technologies to create more effective and inclusive learning environments. Noteworthy papers in this area include: AI in Computational Thinking Education in Higher Education, which provides a comprehensive overview of initiatives applying AI in CT education, and Artificial Intelligence for Optimal Learning, which compares the impact of traditional, non-AI, and AI-enhanced educational settings on learning outcomes and equity. National Data Platform's Education Hub is also a notable development, providing infrastructure to bridge the gap between research data, computational resources, and educational experiences.