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This research explores two interconnected paths related to Artificial Intelligence (AI): interpreting results to provide better/individual guidance for students and investigating which AI applications could be beneficial for education.

In the first path, the possibilities of AI are examined to guide students and teachers through a learning dashboard (Naviskore), aiding in interpreting results, identifying outstanding academic achievements, and analyzing this data to generate future success rates. Based on these insights, schools and teachers are empowered to guide students on an individual level, adjust their differentiation strategies, and provide necessary remediation.

In the second path, the research explores potential AI applications in primary and secondary education. This includes implementing existing tools (such as ChatGPT 4, Dall-E) as well as developing AI applications, like teaching computational thinking and writing skills. The emphasis here is on supporting and training teachers to adapt their teaching methods, not on creating lessons embedded with AI.

Finally, both paths initiate the exploration of the ethical implications of AI in educational systems, and validation of both approaches is carried out in the educational field.