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. Αριθμός Έργου: 2023-1-NL01-KA220-HED-000155675. Μελέτη Περίπτωσης 13: Γραφή, δημιουργικότητα και Τεχνητή Νοημοσύνη. Το ChatGPT στο πανεπιστημιακό περιβάλλον General information Reference/Source: de Vicente-Yagüe-Jara, M. I., López-Martínez, O., Navarro-Navarro, V., & Cuéllar-Santiago, F. (2023). Writing, creativity, and artificial intelligence. ChatGPT in the university context. Comunicar, 31(77), 47–57. https://doi.org/10.3916/C77-2023-04 Institution: Research conducted at multiple universities in Spain, including the University of Murcia, the University of Salamanca, and Miguel Hernández University of Elche Course/Subject: The specific courses or subject areas are not defined, but the research focuses on the potential of AI for the development of writing skills. This suggests application across disciplines and could inform language arts, creative writing, and technical writing courses. Aim: 1) To explore the creative potential of AI systems, such as ChatGPT, for the development of writing in educational contexts; 2) To investigate how AI can be used as a supportive tool for students when performing writing tasks. Target group: The research involved both AI systems and university students as participants. Description of case Overview: Creativity assessment tool: They chose the Test of Creative Imagination for Adults (PIC-A) to evaluate creative abilities. AI participants: The research focused on Large Language Models (LLMs) built on OpenAI's GPT-3 technology. The authors analysed the responses of 20 different AI tools, including well-known ones like ChatGPT and Dupla.ai. Human participants: University students participated alongside the AI systems. They completed the same PIC-A tasks, allowing for a direct comparison of human and AI creativity. Impact of AI on student writing: The researchers assessed student writing abilities in two phases: Pre-test: Students completed the PIC-A tasks without any assistance from AI tools. This established a baseline for their writing skills; Post-test: Students tackled the PIC-A tasks again, but this time, they were allowed to use ChatGPT to brainstorm ideas and improve their writing. Analysis: The authors compared the creative outputs from the AI systems and the human participants on the PIC-A test. They also analysed how using ChatGPT in the posttest impacted student writing compared to the pre-test results.
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