AI can support the creation of question banks, varied exercises, or assessment scenarios that test specific competences.This allows the teaching staff to have more options and save time in preparing tests. 

Experiences at the UdG:

• Diversification of exam questions

Analysing open answers and detecting patterns in student productions is another area where AI is useful. It can summarise trends, identify strong and weak points and offer clues for improving the teaching-learning process. 

AI can propose initial structures for headings that teaching staff can later adapt. This initial support guarantees coherence and clarity in the evaluation criteria and helps to save time in its preparation. 

AI systems allow the student to check their progress through automatic tests and receive personalised recommendations. This practice fosters responsibility and awareness of learning itself.

Repetitive tasks such as classifying responses, detecting frequent errors or managing deliveries can be partially automated with AI, leaving more time for qualitative assessments. 

Finally, AI can contribute to monitoring progress throughout the semester through developmental reports. These reports offer a vision of the evolution of each student and group as a whole, favouring a deeper reflection on the learning process.