This task successfully moves students beyond basic language recall and comprehension (lower-order thinking) into the highest cognitive levels:

Applying: Students apply the specific grammar and vocabulary (e.g., complex noun phrases) they learned in the scaffolding phase to a new technical context (prompting).

Analyzing: Students analyze the gap between their
linguistic input (the prompt) and the AI's visual
output, critically assessing why the machine failed to visualize their intent.

Creating (Highest Level): The final output is the
unique creation of a dystopian world image and the precise language that brought it into existence, fulfilling the role of a content creator.

This lesson demonstrates TPACK by making the

technology indispensable for the learning goal:

Technological Knowledge (TK) + Content

Knowledge (CK): Using Leonardo AI requires

students to learn Prompt Engineering (TK). This

technical skill is used specifically to master the course content (precision language and complex description, CK). The technology forces the linguistic precision needed for advanced study (Koehler & Mishra, 2009).

Technological Knowledge (TK) + Pedagogical

Knowledge (PK): The task is designed as a Formative Assessment where the AI gives instantaneous, objective feedback on language complexity and clarity (PK). The AI's visual error is a direct, immediate indicator to the student that their language was ambiguous or weak.