AI-driven multilingual courses for interdisciplinary education
Category of recipe: Internationalisation through pedagogical activities and development of international skills.
Objective: Improving academic quality / offer; Developing global competence / employability skills; Curriculum internationalisation.
Short description of the recipe
◘ This initiative focuses on recording courses that are broadly relevant to multiple departments (e.g., management, accounting, human rights, European Union studies, coding) and using AI tools to translate them into multiple languages.
◘ The recorded content is stored in a centralised database, accessible to students and faculty, fostering a multilingual and interdisciplinary academic environment.
Academic recognition: ECTS credits for elective courses and certificates of attendance for non‐credit courses.
Level of difficulty: Medium
Calendar and time needed: Around 3–4 months for course selection, recording, translation, and database integration.
Cost summary: €€
Language and level required: B2 or higher in one of the available languages.
Roles and Responsibilities
◘ Project leader: Leads the initiative, coordinates all stages of the process, and ensures alignment with the university's internationalisation goals.
◘ Professors:
- Identify interdisciplinary courses suitable for recording and sharing.
- Record and validate lectures.
- Review AI-generated translations for quality and accuracy.
◘ IT Team:
- Manage the technical set up of recording tools and AI translation software.
- Develop and maintain the cloud-based platform for storing and sharing materials.
- Provide ongoing technical support to professors and staff throughout the process.
◘ International Relations Office: Coordinate communication, ensure permissions, and promote the initiative among faculty and students.
◘ Advisor in Internationalisation (if available): Provides strategic guidance on internationalisation efforts and assists with implementation.
◘ Pedagogical Engineers (if available): Offer expertise in instructional design, AI-enhanced teaching, and multilingual learning strategies.
Ingredients
◘ A collection of interdisciplinary courses appealing to multiple departments, such as management, human rights, European Union studies, or coding, ready for adaptation and sharing.
◘ A visionary project leader passionate for innovation in education and AI-driven solutions.
◘ Motivated professors committed to bringing inclusivity and multilingualism to their classrooms by integrating AI tools into their teaching practices.
◘ AI-powered translation tools and high-quality recording equipment for seamless multilingual course creation.
◘ A centralised cloud platform to store and distribute translated and recorded materials.
◘ Dedicated IT and administrative staff to support technical and organisational needs.
Recipe steps
◘ Step 1: Identify suitable courses
- Select interdisciplinary courses within your programme that could appeal to a broad range of students, such as management, human rights, European Union studies, or coding. Ensure these courses are adaptable and relevant for multilingual and cross-departmental use.
◘ Step 2: Appointment of a leader
- As a head of programme or professor, take an active role in coordinating this initiative