Μηχανική Μάθηση: Ο ρόλος του κειμένου στην πρόβλεψη της επίδοσης διαμέσου βιντεοδιαλέξεων

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Δημοσιευμένα: Jan 1, 2023
DOI: https://doi.org/10.12681/thete.40002
Λέξεις-κλειδιά:
Επεξεργασία φυσικής γλώσσας αναλυτική της μάθησης μηχανική μάθηση κειμενικά χαρακτηριστικά ταξινόμηση επίδοση βιντεοδιαλέξεις
Βασιλική Ραγάζου
Παιδαγωγικό Τμήμα Προσχολικής Εκπαίδευσης, Σχολή Επιστημών του Ανθρώπου, Πανεπιστήμιο Θεσσαλίας
Χαράλαμπος Παπαδήμας
Παιδαγωγικό Τμήμα Προσχολικής Εκπαίδευσης, Σχολή Επιστημών του Ανθρώπου, Πανεπιστήμιο Θεσσαλίας
Ηλίας Καρασαββίδης
Παιδαγωγικό Τμήμα Προσχολικής Εκπαίδευσης, Σχολή Επιστημών του Ανθρώπου, Πανεπιστήμιο Θεσσαλίας
Περίληψη

Η παρούσα εργασία εξετάζει τη χρήση της Επεξεργασίας Φυσικής Γλώσσας με στόχο την πρόβλεψη της επίδοσης των φοιτητών σε περιβάλλοντα ηλεκτρονικής μάθησης. Παρόλο που η πρόοδος στον τομέα αυτόν είναι ενθαρρυντική, λείπουν μέχρι σήμερα συστηματικές ερευνητικές προσπάθειες να διερευνηθεί πλήρως το δυναμικό της Επεξεργασίας Φυσικής Γλώσσας για την ανάλυση και πρόβλεψη της επίδοσης. Στην έρευνα αυτή συμμετείχαν 85 φοιτητές, οι οποίοι παρακολούθησαν 6 βιντεοδιαλέξεις, για κάθε μία εκ των οποίων κλήθηκαν να συντάξουν μια μικρή περίληψη. Από την επεξεργασία των περιλήψεων προέκυψαν δύο σύνολα μεταβλητών (πρωτογενούς και επεξεργασμένου κειμένου) που τροφοδότησαν οκτώ αλγόριθμους μηχανικής μάθησης. Στις περισσότερες βιντεοδιαλέξεις παρατηρήθηκε μια μικρή διαφοροποίηση τιμών των μέτρων ακρίβειας ταξινόμησης και F1 ενώ η λογιστική παλινδρόμηση (LR) ήταν ο αλγόριθμος που επέφερε τα υψηλότερα επίπεδα ακρίβειας ταξινόμησης τόσο για το πρωτογενές όσο και για το επεξεργασμένο κείμενο. Τα αποτελέσματα της ανάλυσης αναδεικνύουν ότι οι περιλήψεις που δημιουργήθηκαν από τους φοιτητές μπορούν να αποτελέσουν ένα υποσχόμενο σύνολο χαρακτηριστικών για την πρόβλεψη της επίδοσης μέσω βιντεοδιαλέξεων.

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