Με τη χρηματοδότηση της Ευρωπαϊκής Ένωσης. Οι απόψεις και οι γνώμες που διατυπώνονται εκφράζουν αποκλειστικά τις απόψεις των συντακτών και δεν αντιπροσωπεύουν κατ'ανάγκη τις απόψεις της Ευρωπαϊκής Ένωσης ή του Ευρωπαϊκού Εκτελεστικού Οργανισμού Εκπαίδευσης και Πολιτισμού (EACEA). Η Ευρωπαϊκή Ένωση και ο EACEA δεν μπορούν να θεωρηθούν υπεύθυνοι για τις εκφραζόμενες απόψεις. Automatic grading system An automatic grading system is a professional computer programme based on AI that simulates a teacher's behaviour to assign grades to student tasks in an educational setting. It evaluates student knowledge, analyses responses, provides feedback, and creates personalised training programmes. It is used in many AI education apps. The automatic grading systems provide the student with an evaluation score during his/her test. This method can assist teachers in better understanding their students' learning situations while students are more aware of their learning achievement and mastery of knowledge. Overall, these automatic grading systems can deal with the complexities of the teaching context and support students' learning process by giving them feedback and guidance (Limna et al., 2022; Yufeia et al., 2020). Automation The computer system automates tasks that typically require human intervention. By automating repetitive tasks like timetabling, attendance, and enrolment, schools and teachers can free up time for more meaningful interactions with students (European Commission, 2022). Bias Bias is the predisposition towards or against something that can manifest in AI systems in various ways. Data-driven AI, often built using machine learning, can inherit biases present in the training data. Logic-based AI, like rule-based systems, may reflect the biases of the knowledge engineer who defines the rules. Bias isn't always harmful; it can be beneficial in certain contexts. However, when it leads to discriminatory or unfair outcomes, it is a concern. It can arise unintentionally, due to limited exposure to diverse situations, or intentionally, if designed to favour a particular group. (European Commission, 2022)
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