What is Intelligent-TCK?
Why it matters?
Teachers with strong Intelligent-TCK can choose AI tools that align with disciplinary needs (e.g., math, science, language, arts).
They can update and expand their subject knowledge by engaging with the latest AI-supported resources.
They are able to design content-specific learning experiences, ensuring that AI enhances understanding of core concepts rather than oversimplifying or distorting them.
Definition
Intelligent-TCK refers to teachers’ knowledge of AI tools that are specific to their subject area. It includes knowing how AI can support the representation and exploration of disciplinary knowledge, staying updated with field-specific technologies, and selecting tools that best fit subject-specific learning goals (Celik, 2023).
*The light orange area highlights Intelligent-TCK
(Technological Content Knowledge)
Classroom Examples for Intelligent-TCK
Reflection Questions for Intelligent-TCK
A teacher uses an AI simulation tool to model chemical reactions, helping students visualize processes that are otherwise abstract.
An educator tests an AI-based problem generator that creates multiple solution strategies for algebra, then checks which align with the curriculum.
An art teacher explores an AI image-generation tool to illustrate artistic styles, then discusses how the tool represents (or misrepresents) artistic traditions.
Which AI tools are most relevant for my subject area, and how do they represent disciplinary knowledge?
How do I check whether AI-generated explanations, examples, or problems are accurate and aligned with my curriculum?
Can I identify when an AI tool is oversimplifying or misrepresenting important concepts in my subject?
How do I decide which AI tool best supports content-specific learning goals in my classroom?
