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Safe AI in Universities: Research, Admissions and Academic Integrity

Where AI Sits Across Teaching, Research and Administration

Quiz: Where AI Sits Across Teaching, Research and Administration

Admissions Models and Why Selection Decisions Are High Risk

Quiz: Admissions Models and Why Selection Decisions Are High Risk

Academic Integrity Policy for Generative AI

Quiz: Academic Integrity Policy for Generative AI

Why AI Detection Evidence Is Weak in Misconduct Cases

Quiz: Why AI Detection Evidence Is Weak in Misconduct Cases

Assessment Redesign Across Disciplines

Quiz: Assessment Redesign Across Disciplines

Student Data, Learning Analytics and Intervention Ethics

Quiz: Student Data, Learning Analytics and Intervention Ethics

Attendance, Engagement and Continuation Risk Models

Quiz: Attendance, Engagement and Continuation Risk Models

Research Ethics Approval for AI Based Studies

Quiz: Research Ethics Approval for AI Based Studies

Research Integrity, Authorship and Publisher Policies

Quiz: Research Integrity, Authorship and Publisher Policies

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Quiz: Research Integrity, Authorship and Publisher Policies

Safe AI in Universities: Research, Admissions and Academic Integrity
Research Integrity, Authorship and Publisher Policies
Quiz: Research Integrity, Authorship and Publisher Policies

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Question 1 of 5

1. Question

What is one key aspect of research integrity regarding data handling?

Data should be altered to support preferred outcomes
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Fabrication of data is acceptable if results are significant
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Data must be reported honestly without fabrication or falsification
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Unrelated data can be included to strengthen conclusions
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Question 2 of 5

2. Question

According to the lesson, what should happen when a researcher makes an unintentional error in data recording?

The error should be ignored if it does not affect conclusions
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The error must be corrected and documented immediately
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The data should be re-collected to avoid correction
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The error should be reported only to the supervisor
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Question 3 of 5

3. Question

Which of the following is a recommended practice for authorship decisions?

Authorship should be decided by the senior researcher alone
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Authorship must reflect meaningful contribution to research
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All contributors should be listed as equal authors
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Authorship order should be determined after publication
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Question 4 of 5

4. Question

What must researchers ensure when publishing work based on their previous research?

The previous work must be completely removed from the new publication
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The relationship to prior work must be clearly indicated
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The new publication must not reference any earlier work
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The previous research must be cited only in the abstract
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Question 5 of 5

5. Question

What is one requirement publishers often make for research submissions?

The research must be published in a specific journal format
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The research must include conflict of interest declarations
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The research must be submitted to the publisher's website only
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The research must have a minimum of five authors
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