Examples of summative and formative assessment supported by artificial intelligence tools and systems

13. Conclusion

The use of AI-based tools and systems in formative and summative assessment creates new opportunities to improve the quality, efficiency, and transparency of the educational process. Automated generation of questions, rubrics, and analytical reports gives teachers real-time insight into student progress and supports data-driven pedagogical decision-making. This reduces administrative burden and allows for a more individualised approach to students and the development of reflective teaching practices.

However, despite these recognised advantages, it is necessary to remain critically aware of the limitations and ethical aspects of using AI in assessment. Automated systems may exhibit bias in text analysis or fail to fully understand the context of a student's response, so human judgment and pedagogical responsibility remain essential elements of any evaluation process.

In the future, we can expect even stronger integration of AI tools with institutional systems such as Moodle, which will further enhance achievement tracking, data security, and personalisation of learning. The key to success, however, will be maintaining a balance between technological innovation and human expertise. Artificial intelligence can significantly improve the evaluation process, but only if it is used as a support – an instrument that empowers, rather than replaces, the teacher in their professional role.