Despite the common belief that AI poses a threat to independent thought, this course has proven otherwise. Various applications were introduced and tested, and throughout the course, Dr Rita Divéki, our teacher trainer, constantly challenged us to think about how each tool could be integrated into our teaching. As an English Language and Literature teacher, I focused specifically on how AI could enhance the teaching and learning of Literature. I have come to believe, that when used in the right measure, AI not only engages students but also caters to their diverse needs.
The course began with an introduction to basic AI concepts, including prompt engineering and adopting higher-order thinking. What particularly caught my attention was the application of Bloom’s taxonomy when designing Literature activities, encouraging us to steer away from tasks that simply assess recall. The second session was more hands-on, as we created AI-generated content tailored to our subject area. In the final session we focused on how AI can be incorporated into assessment, and we discussed strategies that promote deeper thinking and reflection. These assessment tasks can also be adapted to suit individual student needs, offering options like audio submissions instead of traditional written answers.
While the resistance to AI in education persists, this course has shown how to embrace it as a tool that promotes critical thinking and active participation in the classroom.
Lorna Friggieri – Head of Department for English Curriculum
2024-1-MT01-KA121-SCH-000201561
