Applied AI & Prompt Engineering · Module 3: AI for Students, Teachers & Academics · Lesson 23 of 55

AI & Academic Integrity: Responsible Use of AI in Student Learning & Assessment

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AI & Academic Integrity

Generative AI has created new opportunities for students to learn, research, write, code, practice, and receive feedback. At the same time, it has introduced important questions about academic integrity, originality, authorship, attribution, assessment, and responsible use of technology.

Academic integrity means completing academic work honestly, responsibly, and according to the rules established by the educational institution, examination authority, teacher, or assessment.

Core Principle:

Using AI is not automatically academic misconduct. The key issue is how AI is used, what the assessment rules permit, and whether the student's work honestly represents the student's own learning and contribution.

What Is Academic Integrity?

Academic integrity refers to honest and responsible behaviour in learning, research, assignments, projects, examinations, and other academic activities.

It generally includes:

  • Honesty in academic work
  • Originality
  • Proper attribution
  • Accurate representation of one's work
  • Respect for examination and assessment rules
  • Responsible use of sources and technology
  • Respect for intellectual property

Academic Integrity in the Age of AI

AI Assistance + Transparency + Rules + Student Responsibility = Responsible AI Use

AI can assist learning, but students remain responsible for understanding and representing their work accurately.

AI Use: Helpful vs Problematic

Potentially Responsible Use Potentially Problematic Use
Asking AI to explain a difficult concept. Submitting AI-generated work as entirely one's own when prohibited.
Generating practice questions. Using AI to complete an assessment that prohibits AI assistance.
Receiving feedback on a student's own draft. Having AI write an assignment that the student is expected to produce independently.
Using AI for brainstorming where permitted. Misrepresenting AI-generated content as independently produced.
Using AI to identify areas for revision. Using AI to bypass learning requirements.
Using AI for practice and self-testing. Using AI during a restricted examination.

1. Understand the Assessment Rules

Review these assessment
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instructions:

[ASSESSMENT RULES]

Create a simple table:

Activity |
AI Allowed? |
AI Restrictions |
Disclosure Required? |
Important Note

Do not interpret rules that
are not stated in the supplied
instructions.

Flag anything that requires
clarification from the teacher
or institution.
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2. Ask AI Whether a Use Is Permitted

Here are my assessment rules:
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[RULES]

I want to use AI for:

[PROPOSED AI USE]

Determine whether this use
appears to be:

* Clearly permitted
* Clearly restricted
* Unclear

Explain your reasoning using
only the supplied rules.

If unclear, suggest what I
should ask my teacher.
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3. Understand the Difference Between Assistance and Substitution

A useful distinction is whether AI is supporting the student's learning or substituting for the student's academic work.

AI as Learning Support AI as Work Substitution
Explains a concept. Completes the entire assignment.
Provides practice questions. Provides answers for a restricted test.
Gives feedback on student work. Produces the final submission without meaningful student contribution.
Helps identify mistakes. Hides the fact that AI completed the work.
Supports understanding. Bypasses the intended learning process.

4. Check for Plagiarism Risks

Review my assignment:
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[TEXT]

Identify passages that may
need:

* Citation
* Attribution
* Original wording
* Verification
* Further explanation

Do not determine plagiarism
solely from writing style.

Focus on academic integrity
risks that can be evaluated
from the supplied text.
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5. Improve Originality Without Changing Meaning

Review my draft:
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[DRAFT]

Help me improve the clarity
and originality of my wording.

Rules:

* Preserve my ideas.
* Do not add unsupported
  information.
* Do not fabricate citations.
* Do not make the writing
  appear more sophisticated
  than my actual understanding.
* Identify substantial changes
  you make.

6. Use AI as a Feedback Tool

Review my answer:

[MY ANSWER]

Question:
[QUESTION]

Do not rewrite the answer.

Instead provide:

1. What I did well
2. What is unclear
3. What concept I may have
   misunderstood
4. What evidence is missing
5. One suggestion for
   improvement

Let me revise the answer
myself.
```

7. Ask AI to Give Hints Instead of Answers

I am solving this problem:
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[QUESTION]

Do not give me the answer.

Give me one hint at a time.

Wait for my response after
each hint.

Help me reach the solution
independently.
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8. Use AI for Self-Assessment

Quiz me on:
```

[TOPIC]

Ask one question at a time.

Rules:

* Wait for my answer.
* Do not reveal the answer
  before I respond.
* Evaluate my understanding.
* Explain mistakes.
* Continue until I demonstrate
  sufficient understanding.

The goal is learning, not
simply obtaining answers.
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9. Document AI Assistance

Create an AI-use record for
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my academic project.

Project:
[PROJECT]

AI Activities:
[ACTIVITIES]

Create:

Date |
AI Tool |
Purpose |
Prompt Purpose |
How Output Was Used |
Student Contribution |
Verification Performed

Do not invent missing details.
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10. Create an AI Disclosure Statement

Help me draft a transparent
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AI-use statement for my
academic project.

Project:
[PROJECT]

AI Use:
[HOW AI WAS USED]

My Own Contribution:
[CONTRIBUTION]

Create a concise statement
that accurately describes how
AI was used.

Do not exaggerate or minimize
my actual use of AI.
```

11. Distinguish Student Work from AI Output

Here is my original work:
```

[MY WORK]

Here is AI feedback:

[AI FEEDBACK]

Identify:

* My original ideas
* AI suggestions
* Changes I may consider
* Information requiring
  verification

Do not claim that AI-generated
content is my original work.
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12. Check for Fabricated Information

Review this AI-generated
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content:

[CONTENT]

Identify statements that
require independent
verification.

Classify them as:

* Easily verifiable fact
* Claim requiring source
* Potentially uncertain
* Opinion
* Unsupported statement

Do not confirm claims merely
because they sound plausible.
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13. Check AI-Generated Citations

Review these AI-generated
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references:

[REFERENCES]

Identify information that
must be independently
verified.

Check conceptually for:

* Author
* Title
* Year
* Publication
* DOI
* URL
* Source relevance
* Claim support

Do not invent missing
bibliographic information.
```

14. Avoid Misrepresentation

Misrepresentation occurs when a student presents work, ideas, skills, sources, or contributions inaccurately.

For example, submitting an AI-generated essay as independently written work may misrepresent the student's actual contribution when the assessment requires independent work.

Remember:

The question is not simply "Did AI write this?" The more important questions are: Was AI use permitted? Was it disclosed when required? Does the submitted work accurately represent the student's contribution?

15. Academic Integrity and Coding

Here is my programming
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problem:

[QUESTION]

Here is my code:

[CODE]

Help me learn rather than
simply completing the task.

First:

1. Identify the conceptual
   issue.
2. Give me a hint.
3. Ask me what I think should
   be changed.
4. Review my attempt.
5. Provide another hint if
   necessary.

Do not provide the complete
solution unless I explicitly
ask after attempting the
problem.
```

16. Academic Integrity and Essays

Here is my essay draft:
```

[DRAFT]

Do not rewrite the essay.

Provide feedback on:

* Argument
* Structure
* Evidence
* Clarity
* Logic
* Grammar
* Citation requirements

Ask me to make the revisions
myself.

Do not add facts or citations
that are not supported.
```

17. Academic Integrity and Presentations

Here is my presentation
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outline:

[OUTLINE]

Help me improve the structure.

Do not create the complete
presentation.

Provide:

* Missing ideas
* Logical gaps
* Questions I should answer
* Suggestions for slide
  organization
* Areas requiring evidence

I will create the final
presentation myself.
```

18. Academic Integrity and Group Projects

Help us document AI use in
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our group project.

Project:
[PROJECT]

Members:
[MEMBERS]

AI Tools Used:
[TOOLS]

Create a contribution log:

Member |
Human Contribution |
AI-Assisted Activity |
Final Responsibility |
Verification

Do not assign contributions
that were not provided.
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19. Create an AI Usage Policy for Students

Create a student-friendly
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AI usage framework for
academic work.

Include four categories:

1. AI encouraged
2. AI permitted with
   disclosure
3. AI restricted
4. AI prohibited

Give examples for:

* Homework
* Projects
* Research
* Coding
* Presentations
* Classwork
* Tests
* Examinations

Clearly state that actual
rules depend on the school,
teacher, assessment, and
examination requirements.
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20. Create an Academic Integrity Checklist

Create a final AI and
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academic integrity checklist.

Include:

☐ I understand the assessment
rules.
☐ AI use is permitted where
I used it.
☐ I have disclosed AI use
where required.
☐ My work represents my
actual contribution.
☐ I have not submitted
fabricated information.
☐ I have checked AI-generated
facts.
☐ I have verified citations.
☐ I have respected copyright
and attribution.
☐ I can explain the submitted
work independently.
☐ I have followed examination
instructions.
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21. Can the Student Explain the Work?

One useful educational principle is whether the student can explain, defend, modify, and reproduce the important parts of submitted work.

Submit → Explain → Defend → Modify → Demonstrate Understanding

This is particularly relevant for programming projects, research assignments, practical work, presentations, and project-based assessment.

22. AI and Examination Integrity

Examinations frequently operate under specific conditions designed to measure a student's independent knowledge and skills.

Important:

If an examination or assessment prohibits AI assistance, using an AI tool during that assessment violates the applicable rules.

Situation Appropriate Action
AI explicitly allowed Use AI within the stated conditions.
AI allowed with disclosure Use AI and disclose its use as required.
AI use unclear Ask the teacher or institution before using it.
AI explicitly prohibited Do not use AI for the assessment.

23. AI Literacy Is Part of Responsible Learning

Students increasingly need to understand not only how to use AI but also how to evaluate its output.

  • Question AI-generated information.
  • Verify important facts.
  • Check sources.
  • Understand limitations.
  • Protect personal and sensitive information.
  • Respect intellectual property.
  • Follow academic and examination rules.
  • Maintain responsibility for submitted work.

24. AI Should Strengthen Student Agency

The purpose of educational AI should be to strengthen the learner's ability to think, question, create, solve problems, and learn independently.

Weak AI Use Stronger AI Use
"Give me the answer." "Give me a hint so I can solve it."
"Write my assignment." "Give feedback on my draft."
"Complete my code." "Help me identify the bug."
"Give me the project." "Help me plan and evaluate my project."
"Summarize everything so I don't have to study." "Create questions to test whether I understand it."

25. Create an AI Learning Contract

Create a student AI learning
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agreement.

Include commitments to:

1. Follow assessment rules.
2. Use AI honestly.
3. Disclose AI use where
   required.
4. Verify important
   information.
5. Protect personal data.
6. Respect copyright.
7. Complete independent work
   when required.
8. Understand submitted work.
9. Avoid unauthorized AI use
   in examinations.
10. Take responsibility for
    final submissions.

Make it suitable for school
students.
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26. Teacher Prompt — Discuss AI Integrity

Create a classroom discussion
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on:

"AI and Academic Integrity"

Class:
[CLASS]

Include:

1. Five discussion questions
2. Three real-world scenarios
3. Two ethical dilemmas
4. A student reflection
5. Teacher discussion points

Do not present every AI use
as automatically unethical.

Focus on responsible,
context-dependent use.
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27. Student Reflection Prompt

Reflect on my use of AI in
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this academic task.

Task:
[TASK]

AI Use:
[AI USE]

Answer:

1. What did AI help me do?
2. What did I do myself?
3. What did I verify?
4. What did I learn?
5. Did AI replace any part of
   the learning process?
6. Was my AI use permitted?
7. What would I do
   differently next time?

28. Create an AI Integrity Case Study

Create a case study about

academic integrity and AI.

Scenario:
[SCENARIO]

Include:

* Situation
* AI use
* Assessment rules
* Ethical issue
* Possible choices
* Consequences
* Better practice
* Discussion questions

Make the case suitable for
[CLASS / AGE GROUP].
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29. Create a Teacher Assessment Design

Design an assessment that
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encourages authentic student
learning in an environment
where generative AI is
available.

Subject:
[SUBJECT]

Class:
[CLASS]

Topic:
[TOPIC]

Include:

* Individual reasoning
* Application
* Personal reflection
* Oral explanation
* Process evidence
* Draft/revision stages
* Appropriate AI-use rules

Ensure the assessment still
aligns with the intended
learning outcomes.
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30. Master AI & Academic Integrity Prompt

Act as an educational AI
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ethics and academic integrity
advisor.

Assessment:
[ASSESSMENT]

Assessment Rules:
[RULES]

My Proposed AI Use:
[AI USE]

Evaluate my proposed use.

Step 1:
Identify what the assessment
is intended to measure.

Step 2:
Identify whether my proposed
AI use supports learning or
substitutes for the student's
required work.

Step 3:
Check the proposed use
against the supplied rules.

Step 4:
Identify potential risks
related to:

* Academic dishonesty
* Misrepresentation
* Plagiarism
* Attribution
* Unauthorized assistance
* Fabricated information
* Fabricated citations
* Copyright
* Assessment validity

Step 5:
Classify the proposed use:

* Responsible
* Responsible with disclosure
* Needs clarification
* Not appropriate under the
  supplied rules

Step 6:
Suggest a more educational
alternative where necessary.

Important rules:

* Do not assume that all AI
  use is unethical.
* Do not assume that all AI
  use is permitted.
* Base the assessment of
  permission on the supplied
  rules.
* If the rules are unclear,
  recommend asking the teacher
  or institution.
* Do not invent institutional
  policies.
* Encourage independent
  learning and student agency.
* Emphasize that the student
  remains responsible for the
  final work.
* Never recommend unauthorized
  AI use during an examination.

Return:

A. Assessment Purpose
B. Proposed AI Use
C. Rule Compatibility
D. Academic Integrity Risks
E. Recommended Responsible Use
F. Disclosure Considerations
G. Verification Requirements
H. Student Responsibility
I. Final Recommendation
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Examples of Responsible AI Use

Activity Responsible AI Support
Learning Ask for explanations, examples, analogies, and practice.
Revision Create flashcards, quizzes, and revision questions.
Writing Request feedback on a student's own draft where permitted.
Coding Use AI for debugging hints and conceptual explanations.
Research Generate search strategies and organize supplied sources.
Presentation Brainstorm structure and receive feedback where permitted.
Assessment Follow the specific AI rules established for the assessment.

Example — Student Assignment

Scenario

A teacher asks students to write a 1,000-word essay independently. The instructions do not permit AI-generated writing.

A student asks AI to write the complete essay and submits it as their own work.

The problem is not simply that an AI tool was used. The student used AI in a way that replaced the required independent work and misrepresented authorship.

A more appropriate use, if permitted by the teacher, might be asking AI for questions that help the student plan their own thinking or requesting feedback on a draft.

Example — Coding Assignment

Scenario

A student is required to write a Python program independently.

Instead of asking AI to produce the complete program, the student can use AI for conceptual learning where permitted:

Problem → Student Attempt → Hint → Debugging → Student Revision → Working Program

The student should understand the final program and be able to explain how it works.

Example — Research Project

Scenario

A student uses AI to brainstorm research questions and organize supplied sources.

The student then independently evaluates the sources, writes the research discussion, verifies important claims, and follows the required disclosure rules.

This illustrates a model in which AI supports the research process without automatically replacing the student's intellectual contribution.

Example — Examination

Scenario

A student is taking a controlled examination in which external assistance is not permitted.

Using an AI chatbot to obtain answers during the examination would conflict with the examination conditions.

The appropriate use of AI would instead be before the examination for legitimate preparation, such as practice questions, revision, concept explanations, and mock tests, subject to applicable rules.

Common AI & Academic Integrity Mistakes

Mistake Better Practice
Assuming all AI use is cheating Evaluate AI use according to the assessment context and applicable rules.
Assuming all AI use is permitted Check the specific instructions.
Submitting AI output as one's own work Maintain genuine student contribution and follow disclosure requirements.
Using AI during a restricted examination Follow examination conditions.
Failing to disclose AI use when required Provide transparent disclosure.
Trusting AI-generated references Verify sources independently.
Submitting AI-generated facts without checking Verify important information.
Using AI to avoid learning Use AI for explanation, practice, feedback, and self-testing.
Being unable to explain submitted work Ensure genuine understanding of the final submission.
Hiding AI assistance Follow the applicable transparency requirements.

Practical Activity 1 — Classify AI Uses

Provide students with different scenarios involving AI and ask them to classify each use as responsible, restricted, unclear, or inappropriate based on supplied assessment rules.

Practical Activity 2 — AI Use Reflection

Ask students to document how they used AI during a learning activity and identify what they learned independently.

Practical Activity 3 — AI Disclosure Statement

Ask students to prepare a short and accurate statement describing where and how AI was used in a project.

Practical Activity 4 — Human vs AI Contribution

Provide a project workflow and ask students to distinguish between human contribution, AI assistance, verification, and final responsibility.

Practical Activity 5 — Academic Integrity Case Study

Present several AI-related academic scenarios and conduct a classroom discussion about permission, transparency, originality, and responsibility.

Practical Activity 6 — AI as a Tutor

Ask students to use AI as a tutor that provides hints and questions rather than complete answers.

Practical Activity 7 — AI-Assisted Coding

Ask students to solve a programming problem independently and then use AI for debugging hints. Students should explain their final solution.

Practical Activity 8 — Citation Verification

Provide AI-generated references and ask students to determine which information requires independent verification.

Practical Activity 9 — Design an AI Usage Policy

Ask students to create a four-level framework identifying AI uses that are encouraged, permitted with disclosure, restricted, or prohibited in different academic situations.

Practical Activity 10 — Final Integrity Audit

Before submitting a project, ask students to complete an AI and academic integrity checklist covering rules, originality, attribution, verification, disclosure, and understanding.

Interview Questions

Q1. What is academic integrity?

Academic integrity refers to honest and responsible behaviour in academic work, including learning, assignments, research, projects, and assessments.

Q2. Is using AI automatically academic misconduct?

No. The appropriateness of AI use depends on the purpose, the assessment context, and the applicable rules.

Q3. When can AI use become problematic?

AI use can become problematic when it violates assessment rules, replaces required independent work, involves misrepresentation, or otherwise compromises academic integrity.

Q4. Why is disclosure of AI use important?

Where disclosure is required, it provides transparency about the role AI played in producing or supporting academic work.

Q5. What is misrepresentation in academic work?

Misrepresentation occurs when a student inaccurately represents the source, authorship, contribution, skills, or process behind submitted work.

Q6. How can students use AI responsibly?

Students can use AI for learning, explanations, practice, feedback, revision, brainstorming, and other permitted activities while following applicable rules and maintaining responsibility for their work.

Q7. Why should students verify AI-generated information?

AI can produce inaccurate or fabricated information. Important facts, sources, statistics, and references should therefore be verified.

Q8. What should students do if AI rules are unclear?

They should ask the teacher, institution, or relevant assessment authority before using AI for the activity.

Q9. Why is independent understanding important?

Students should understand the work they submit, particularly when the assessment is designed to measure their own knowledge, skills, reasoning, or problem-solving ability.

Q10. What is the most important principle of AI and academic integrity?

Use AI transparently and responsibly, follow the applicable rules, and ensure that submitted work honestly represents the student's required learning and contribution.

Examination MCQs

Q1. What is academic integrity?

  1. Using technology in every assignment
  2. Honest and responsible academic behaviour
  3. Using AI to complete all work
  4. A method of examination preparation

Answer: B

Q2. Is every use of AI automatically academic misconduct?

  1. Yes
  2. No
  3. Only for students
  4. Only for teachers

Answer: B

Q3. What should a student do when AI use is unclear for an assessment?

  1. Use AI secretly
  2. Assume it is permitted
  3. Ask the teacher or institution
  4. Ignore the assessment rules

Answer: C

Q4. Which is an example of responsible AI use?

  1. Using AI during a prohibited examination
  2. Submitting AI output as one's own when prohibited
  3. Using AI for practice questions where permitted
  4. Inventing citations with AI

Answer: C

Q5. What is misrepresentation?

  1. Accurately documenting AI use
  2. Inaccurately representing authorship or contribution
  3. Studying with a teacher
  4. Checking a source

Answer: B

Q6. Why should AI-generated citations be verified?

  1. They are always correct
  2. AI may generate incorrect or fabricated references
  3. Citations are unnecessary
  4. References cannot be checked

Answer: B

Q7. What is a good use of AI for learning?

  1. Asking for hints to solve a problem
  2. Cheating in an examination
  3. Submitting AI work without permission
  4. Inventing research sources

Answer: A

Q8. Who is responsible for the final academic submission?

  1. The AI system
  2. The search engine
  3. The student or author
  4. The software developer

Answer: C

Q9. Why is transparency important when AI disclosure is required?

  1. It hides AI use
  2. It provides an accurate account of AI involvement
  3. It removes the need for verification
  4. It guarantees a higher grade

Answer: B

Q10. What is the best approach when using AI for academic work?

  1. Use it secretly
  2. Follow applicable rules and use it responsibly
  3. Allow AI to complete everything
  4. Never verify AI output

Answer: B

Key Terms

Term Meaning
Academic Integrity Honest and responsible behaviour in academic work.
Originality The degree to which academic work represents the student's or author's genuine contribution.
Attribution Giving appropriate credit to the source or creator of information, ideas, or material.
Plagiarism Presenting another person's work or ideas as one's own without appropriate acknowledgment.
Misrepresentation Inaccurately representing authorship, contribution, process, sources, or academic work.
Disclosure Transparent reporting of information such as AI assistance when required.
AI Assistance Use of an AI system to support an academic or learning activity.
AI Substitution Using AI to perform work that the learner is expected to complete independently.
Academic Dishonesty Behaviour that violates the rules or principles governing honest academic work.
Unauthorized Assistance Help received or used in an assessment when such assistance is not permitted.
Student Agency The learner's ability and responsibility to think, decide, create, and act independently.
AI Literacy The ability to use, evaluate, understand, and question AI systems responsibly.
Assessment Integrity The extent to which an assessment accurately measures the intended learning without inappropriate assistance or interference.
Transparency Clearly and honestly communicating relevant information about the use of AI or other assistance.

Self-Assessment Checklist

  • ☐ Explain academic integrity.
  • ☐ Explain why AI use is context-dependent.
  • ☐ Distinguish learning support from work substitution.
  • ☐ Identify potential plagiarism risks.
  • ☐ Understand misrepresentation.
  • ☐ Follow assessment-specific AI rules.
  • ☐ Ask for clarification when AI rules are unclear.
  • ☐ Use AI for permitted learning activities.
  • ☐ Use AI for hints rather than automatically obtaining answers.
  • ☐ Use AI for feedback on one's own work where permitted.
  • ☐ Verify AI-generated information.
  • ☐ Verify AI-generated citations.
  • ☐ Understand disclosure requirements.
  • ☐ Document AI use when required.
  • ☐ Respect copyright and attribution.
  • ☐ Avoid unauthorized AI use during examinations.
  • ☐ Maintain genuine student contribution.
  • ☐ Be able to explain submitted work.
  • ☐ Understand the limitations of AI.
  • ☐ Take responsibility for the final submission.

Key Takeaway

Responsible AI use in education is not about using AI as much as possible or avoiding AI completely. It is about using AI appropriately, transparently, and in accordance with the rules of the learning or assessment context.

Know the Rules → Use AI Responsibly → Verify → Disclose When Required → Own the Learning

Students should use AI to strengthen understanding, practice, creativity, feedback, and independent thinking, rather than allowing AI to replace the learning process.

In assessment situations, the first question should always be: "Is this use of AI permitted?"

If the rules are unclear, the student should seek clarification from the teacher, school, institution, or relevant assessment authority before using AI.

A strong academic AI workflow is: understand the rules → use AI appropriately → maintain genuine student contribution → verify information → disclose AI use when required → understand and take responsibility for the final work.

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