CODE 117690 ACADEMIC YEAR 2026/2027 CREDITS 6 cfu anno 1 LINGUE E COMUNICAZIONE INTERCULTURALE PER LE ISTITUZIONI E LE IMPRESE 11974 (LM-38 R) - GENOVA 6 cfu anno 2 LINGUE E COMUNICAZIONE INTERCULTURALE PER LE ISTITUZIONI E LE IMPRESE 11974 (LM-38 R) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR GLOT-01/B LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 2° Semester TEACHING MATERIALS AULAWEB OVERVIEW The teaching focuses on the contribution, but also the risks and limitations, of Artificial Intelligence to written production in a foreign language. AIMS AND CONTENT LEARNING OUTCOMES -Know the main uses of Artificial Intelligence (AI) for written production in a foreign language; -Identify the potential for writing of the different tools available; -Apply linguistic knowledge to interaction with AI; -Define appropriate prompts for specific writing-related needs (preparing an outline, evaluating a text, etc.); -Compare and evaluate the advantages and disadvantages of AI for a given writing-related task (e.g., improving coherence and cohesion of a text). AIMS AND LEARNING OUTCOMES At the end of the course, learners will: Know the theoretical and practical principles of written production (WP) in a foreign language Know how artificial intelligences work Use artificial intelligences to support WP Compare different models and systems for the purposes of WP Design appropriate prompts Evaluate the output of AI systems PREREQUISITES None TEACHING METHODS The course comprises both lectures and practical workshops SYLLABUS/CONTENT Written production: cognitive models and writing in a foreign language Generative artificial intelligence Fundamentals of AI Machine translation and post-editing Fundamentals of prompt engineering AI as a support tool in the foreign-language writing process AI as a cognitive partner in academic writing in a foreign language AI, textual genres, and languages for specific purposes in a foreign language Correction, revision, and validation of foreign-language texts with AI Copywriting in a foreign language with AI The syllabus is the same for attending and non-attending students. RECOMMENDED READING/BIBLIOGRAPHY Bibliography (tentative): Neuron M., (2023) L’arte del Prompt Engineering con ChatGPT: Una guida pratica per dominare l’Intelligenza Artificiale; Ferrari A.(2021), Linguistica del testo, Carocci; Hyland, K. (2019), Second language writing; TEACHERS AND EXAM BOARD SIMONE TORSANI Ricevimento: Tuesday 10-12 or by appointment LESSONS LESSONS START Classes begin the first week of the semester Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The examination consists of a written test, with open ended questions and practical exercises ASSESSMENT METHODS [Provisional] Final and ongoing tests FURTHER INFORMATION More details about the program and exam methods will be made available on the Aulaweb page of the course Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Prof. Sara Dickinson (sara.dickinson@unige.it), the Department’s disability liaison.
