AI in Teaching Writing Procedure Text: A Practical Guide for Teachers

Despite its pedagogical potential, AI also has limitations. If used without clear instructional guidance, AI can easily shift from a learning mediator to a cognitive shortcut. Students may rely too heavily on AI-generated feedback or visuals without engaging in meaningful reflection on their own writing.

Another challenge lies in accuracy and representation. AI-generated visuals or explanations may contain inaccuracies or simplifications that can mislead students, especially when they lack sufficient background knowledge to evaluate them critically. Furthermore, differences in students' digital literacy and access to technology can create uneven learning experiences in the classroom. In some regions where access to digital devices and reliable internet remains limited, AI cannot yet fully support classroom learning.

These limitations do not mean that AI should be avoided. It emphasized a more important point that AI cannot self-manage learning. Without teacher mediation, AI risks reinforcing surface-level engagement rather than deep learning. Therefore, the effectiveness of AI in teaching writing depends on how teachers design assignments, structure reflections, and frame the use of AI within clear pedagogical goals.