CAI1001C — AI Thinking for Educators | Miami Dade College
1Course Philosophy on AI Use¶
This is not a course that asks you to avoid AI. It is a course that asks you to think about AI — critically, carefully, and with growing expertise.
The question is never “Did you use AI?” In CAI1001C, you are expected to use AI tools. The questions that matter are:
Did you use it well? Did you use it transparently? Did you use it in a way that deepened your learning — or in a way that bypassed it?
We are training future educators who will guide students through a world saturated with AI tools. If you cannot articulate how you used AI, why you made the choices you made, and what you contributed beyond the prompt — you are not yet ready to teach others to do the same.
This policy is not about policing your behavior. It is about building the habits of mind that distinguish a thoughtful AI practitioner from someone who simply outsources their thinking.
2Permitted AI Use¶
The following uses of AI are not only permitted — many are required.
2.1Required AI Use (Labs and Hands-On Assignments)¶
CAI1001C is built around direct, practical engagement with AI tools. You are expected to actively use the following platforms throughout the course:
Google Gemini — conversational AI for research, drafting, and exploration
NotebookLM — document-grounded AI for analysis and synthesis
Google AI Studio — prompt engineering, model experimentation, and API exploration
Antigravity — AI-powered tools for educational content creation
Failure to engage with these tools is a failure to engage with the course. Lab assignments are designed specifically to develop your proficiency with these platforms.
2.2Permitted AI Use (Written Work)¶
For essays, reflections, discussion posts, and other written assignments, you may use AI tools in the following ways:
Brainstorming — using AI to generate initial ideas, explore angles, or identify gaps in your thinking
Drafting — using AI to produce a first draft that you then substantially revise, expand, and make your own
Refining — using AI to improve clarity, grammar, structure, or flow of work you have already written
Checking understanding — using AI to explain concepts, test your comprehension, or identify areas where your argument is weak
Research assistance — using AI to surface relevant information, identify sources, or summarize background material (always verify primary sources independently)
3Required AI Disclosure Statement¶
Transparency is non-negotiable. For any graded written work where AI assisted in any meaningful way, you must include an AI Disclosure Statement at the end of your submission.
This is not a confession. It is a professional practice — one that educators, researchers, and practitioners are increasingly expected to demonstrate. Getting comfortable with it now prepares you for the field.
3.1Disclosure Template¶
Copy and complete the following at the end of any applicable submission:
---
AI Disclosure
I used [tool name(s)] to [specific use — e.g., "draft an initial outline,"
"refine the clarity of my second paragraph," "brainstorm examples of
formative assessment strategies"].
The ideas and conclusions are my own. AI assisted with
[drafting / organizing / checking / refining] but did not replace my
critical thinking or my engagement with course material.
[Your name]3.2Disclosure Examples¶
Minimal AI assistance:
AI Disclosure: I used Gemini to check the grammar and flow of my final paragraph. The ideas and conclusions are my own. AI assisted with refining but did not replace my critical thinking.
Substantial AI assistance:
AI Disclosure: I used NotebookLM to analyze the three readings assigned this week and identify common themes, then used Gemini to draft an initial outline based on those themes. I rewrote the draft substantially, added my own classroom examples, and changed the central argument based on my own analysis. AI assisted with organizing and initial drafting but did not replace my critical thinking.
4What Is Prohibited¶
The following behaviors violate academic integrity in CAI1001C and may result in a grade of zero on the assignment, a failing course grade, or referral to MDC’s academic integrity process.
4.1Submitting AI-Generated Text Without Disclosure¶
Submitting text that was substantially generated by an AI tool and presenting it as entirely your own — without an AI Disclosure Statement — is academic dishonesty. This applies even if you edited the AI’s output lightly.
4.2Using AI on Prohibited Assessments¶
Some assessments in this course will explicitly state that AI assistance is not permitted. These are typically designed to assess your unassisted understanding of a concept or your ability to demonstrate a skill independently. Using AI tools on these assessments, regardless of how the work is disclosed, is a violation.
Watch for the notation “No AI Assistance” on assignment instructions. When in doubt, ask before submitting.
4.3Misrepresenting AI Contributions¶
Downplaying, minimizing, or mischaracterizing how AI contributed to your work — for example, claiming AI “only checked grammar” when it wrote the majority of the content — is a form of academic dishonesty. Disclosures must be accurate.
4.4Having AI Complete Personal Reflection Assignments¶
Reflection assignments ask you to articulate your experience, your thinking, and your growth. These cannot be authentically completed by an AI. If a reflection assignment is submitted and shows no evidence of personal engagement — no specific classroom observations, no genuine uncertainty, no individual voice — it will be treated as a potential violation and may require a follow-up conversation.
5Miami Dade College Academic Integrity Policy¶
This course policy operates within and supplements Miami Dade College’s broader Academic Integrity Policy, which all students are expected to know and follow.
MDC defines academic dishonesty to include, but not be limited to: plagiarism, cheating, fabrication, facilitating academic dishonesty, and misrepresentation of academic work. Violations may result in consequences ranging from a zero on an assignment to dismissal from the College, depending on the severity and history of the violation.
The emergence of generative AI has created genuinely new questions about authorship, originality, and intellectual contribution. MDC’s policies continue to evolve in response. The disclosure requirements in this course represent the instructor’s current interpretation of how to apply those principles to an AI-focused curriculum. Where conflicts or ambiguities arise, the Office of Academic Affairs provides guidance.
This course does not ask you to avoid AI to protect a pre-AI definition of academic honesty. It asks you to use AI transparently and thoughtfully because that is what integrity means in the current environment.
6The Bigger Picture¶
We are at an unusual moment in the history of education. The tools available to learners today can generate a passable essay in seconds, summarize a textbook chapter in minutes, and answer most factual questions faster than any library. The question of “what counts as my own work” has become genuinely complicated.
There is a real risk in this environment — not that you will use AI, but that you will use it in a way that hollows out your own development. Every time you let AI do your thinking for you, you trade a small piece of your own competence for a shortcut. Over time, those trades accumulate. You become dependent on a tool you do not fully understand, for tasks you can no longer do independently. That is not a good outcome for you, and it is a particularly bad outcome if you are going to teach others.
There is also a real opportunity. Used well, AI can accelerate your learning, surface ideas you would not have found on your own, challenge your assumptions, and free you from the mechanical parts of writing so you can focus on the thinking. That is what this course is designed to help you do.
Addendum D is part of the CAI1001C course syllabus. Students are responsible for understanding and following this policy. Questions about specific situations should be directed to the course instructor before the assignment is submitted.
Last updated: Spring 2026 | Dr. Ernesto Lee | Miami Dade College