Artificial Intelligence Adoption prediction Model: Would ChatGPT-3.5 be adopted in English poetry classrooms?

The purpose of this concurrent embedded mixed methods research was to determine if students would adopt ChatGPT-3.5 in English poetry classrooms, but no theoretical models were applicable. Therefore, two objectives were identified, namely (a) to design an Artificial Intelligence Adoption Prediction Model (AIAPM) to determine if an Artificial Intelligence Tool would be adopted in a specific classroom, and (b) to explore ChatGPT-3.5’s English poetry writing, justification, and analyses skills to better understand how responsible use of this AI-tool might be promoted in English poetry classrooms. The results showed that ChatGPT-3.5 could write and justify four of the five types of poems explored, namely a haiku, an acrostic, sedoka and a satirical poem, but struggled with the rhyme scheme of a ballad. It made valid points during the justifications of own poems and the analyses of famous poems, but ChatGPT-3.5 also hallucinated convincingly. It generated unique texts, both for the same user and different users. The errors were student-like; therefore, ChatGPT-3.5 could be useful, both for ethical and unethical purposes. An Artificial Intelligence Adoption Prediction Tool (AIAPT) was designed to complement the AIAPM to calculate the Adoption Prediction Score (APS). Based on the results, all factors of the AIAPM can drive the adoption of ChatGPT-3.5 in English poetry classrooms; therefore, practical strategies are suggested to promote the responsible use of this AI-tool in English poetry classrooms.