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    Foundations

    AI+ for Students

    Study Smarter and Get Ahead with AI

    Tier
    Foundations
    Category
    Foundations
    modules
    6
    lessons
    94
    Language
    English
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    What you will be able to do

    • Sort any coursework task by whether AI should do it, help with it, or stay out of it entirely, using the AI Opportunity Matrix on your own module list.

    • Brief AI precisely with the PRISM Prompting Framework (Persona, Request, Intent, Structure, Model), so it teaches you the material instead of handing you an answer you cannot defend.

    • Check every AI output against the TRUST Framework before it reaches a marker, including the fabricated-citation failure that costs students marks.

    • Run a research and writing workflow where specialised tools find real sources, you verify them, and the writing stays recognisably yours.

    • Build revision that works: active recall, Feynman explanation loops, AI-generated practice questions, and a spaced plan you can actually keep.

    • Stay inside your institution's academic integrity policy with a repeatable decision test, so you know when to declare AI use, when to verify, and when to stop.

    • Protect your data and your digital footprint with the AI Safety Checklist, so you never paste something into a chat you cannot take back.

    • Leave with a 30-Day AI+You plan that puts these habits into your actual calendar across research, writing, revision, and presentations.

    The curriculum

    Module by module, in the order they are assigned.

    AI Foundations for Students

    AI Foundations for Students builds a practical map of campus AI use, tool types, risks, and rules. You will sort study tasks, pick tools, and verify output in proportion to stakes.

    Prompting AI for Study Tasks

    PRISM turns vague study prompts into targeted tutoring, feedback, practice, and self testing while keeping the thinking with you. You will build, improve, and save reusable prompts for real study tasks.

    Using AI for Research and Writing

    Reliable research and student-owned writing share one workflow: specialised tools find sources, TRUST filters output, and AI edits. You build habits that save time, protect integrity, and keep citations and sentences accountable.

    Using AI for Studying, Exams, and Presentations

    AI supports safer private study through active recall, Feynman loops, practice drills, spaced plans, and presentation preparation. You will build revision and rehearsal workflows that keep the final performance human.

    Academic Integrity and Data Safety

    Academic integrity and data safety hinge on two repeatable tests for assessed work and sensitive data. You will apply policy, declaration, evidence, tier, and exposure checks before submitting or pasting.

    AI for Your Career and Your 30-Day Plan

    AI changes career tasks, raises the value of judgment and trust, and turns the AI+You plan into a calendar routine. You will assess your field, choose durable habits, and schedule your next cycle.

    Assessment and certificate

    The course closes with a timed final exam with a pass mark and a limited number of attempts. A pass issues a PDF certificate with its own serial, in the name of the Straits Institute for Applied AI. Cohort progress, at-risk learners and a CSV export are in the admin console throughout.

    About this course

    Do I need a technical background or any prior AI experience?

    No. Nothing technical is assumed. AI+ for Everyone (T1-01) is useful background but not required, and every framework used here is taught from scratch with student coursework as the worked example.

    Is using AI for my coursework cheating?

    It depends entirely on the task and your institution's policy, and most trouble students hit comes from unclear rules rather than bad intent. The course gives you a repeatable test for which side of the line a task sits on, plus the habit of checking the policy when you cannot tell.

    What is the citation problem everyone warns about?

    Generative AI can produce a reference that looks entirely credible: real journal, real volume, author and article invented. A tutor can check it in thirty seconds. You learn why this happens and the verification pass that catches it before submission.

    Will relying on AI stop me learning the material?

    That is the risk the course is built to prevent. The prompting patterns are designed to make AI explain, question, and test you rather than produce finished text, so the thinking you are at university to do stays yours.

    Which AI tools does the course teach?

    The methods are tool-agnostic. You learn the categories of AI tool that matter for study work and how to pick the right kind for the job, so the skills carry across whichever products your institution provides or you choose.

    Is it safe to paste my notes, drafts, or personal data into an AI chat?

    Not all of it. You apply a data-classification habit and a tool-tier check before any session, so personal information, unpublished work, and anything covered by an institutional policy is handled or removed before it reaches a third-party tool.

    More in Foundations

    Put this in front of a team.

    Course libraries are assigned per user, team or department, and the reporting comes back to whoever has to answer for the programme. Tell us who needs it and we will show you the console.

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