Prompt Engineering: Μεγιστοποιώντας τη Δυναμική του ChatGPT στην Εκπαίδευση στις Φυσικές Επιστήμες

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Δημοσιευμένα: Apr 19, 2026
DOI: https://doi.org/10.12681/codiste.9891
Λέξεις-κλειδιά:
τεχνητή νοημοσύνη εκπαίδευση στις φυσικές επιστήμες
Δημήτριος Γουσόπουλος
Πάντειον Πανεπιστήμιο
https://orcid.org/0009-0000-7410-9461
Περίληψη

Η τεχνητή νοημοσύνη και ειδικότερα τα μεγάλα γλωσσικά μοντέλα, όπως το ChatGPT έχουν φέρει επανάσταση στον τρόπο που οι εκπαιδευτικοί εργάζονται. Ο τρόπος με τον οποίο εισάγουμε εντολές σε ένα τέτοιο μοντέλο παίζει καθοριστικό ρόλο στο κατά πόσο η απάντηση που θα επιστρέψει θα είναι χρήσιμη για την εργασία μας. Η τεχνική αυτή λέγεται Prompt Engineering. Ο στόχος αυτή της εργασίας είναι να διερευνήσει κατά πόσο εκπαιδευτικοί θετικών επιστημών που υπηρετούν στη δευτεροβάθμια εκπαίδευση βελτιώνουν τη στάση τους απέναντι στο ChatGPT ως βοηθό μάθησης μετά από κατάλληλη εκπαίδευση στο prompt engineering. Τα αποτελέσματα της πιλοτικής έρευνας που παρουσιάζεται δείχνουν βελτίωση στην σχετική άποψη των εκπαιδευτικών.


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