Speaker
ABSTRACT
Content and Language Integrated Learning (CLIL) blends subject instruction with language acquisition, but its dual focus poses challenges for educators. Language teachers may lack expertise in specific subject areas, while content specialists often lack language teaching training. This presentation explores the role of Artificial Intelligence (AI) as a mediator in CLIL classrooms, addressing these challenges. AI tools, such as ChatGPT and adaptive learning platforms, support language teachers by generating subject-specific insights and exercises, while also aiding content specialists in providing linguistic feedback and pedagogical strategies.
Through a case study in a tertiary-level business CLIL course, the presentation demonstrates how AI enhances engagement, facilitates collaborative learning, and balances content and language learning. Students used AI to generate ideas for marketing strategies and financial analyses, refining their outputs to foster critical thinking and language precision. While the integration of AI holds promise, ethical considerations, such as plagiarism and over-reliance on AI, require careful oversight.
This presentation underscores AI’s potential to bridge gaps between content and language education, advocating for its responsible implementation to create enriched, balanced learning environments. Educators can utilize AI’s capabilities to meet the demands of CLIL pedagogy, ensuring rigorous, contextually relevant instruction.
KEYWORDS
CLIL
Soft CLIL
Hard CLIL
AI
| TITLE | AI as a mediator in CLIL: Bridging content and language learning |
|---|---|
| RELEVANT SIG | Computer Assisted Language Learning (CALL) |
| FORMAT | Practice-oriented Oral Face-to-face presentation (25 minutes, including Q&A) |
