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Generative AI for Students: Ethics & Academic Integrity

Generative AI for Students: Ethics & Academic Integrity

Instructors: Andrew Struan

4,570 already enrolled

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

27 reviews

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

27 reviews

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand the purpose and function of various AI tools, enabling you to choose the right tool for the right task.
Critically assess AI tools for both practical effectiveness and ethical implications, ensuring responsible and informed use.
Develop AI-driven study and research strategies that uphold academic integrity and align with best academic practices.

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

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Assessments

11 assignments

Taught in English

91%

of learners achieved a positive career outcome

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There are 3 modules in this course

Generative AI for Students: Ethics & Academic Integrity is for university students in all subject areas who want to use generative AI tools responsibly in study, research and academic writing.

The course introduces what AI tools can and cannot do, how they may support academic work, and where careful judgement is needed. You will explore issues such as plagiarism, authorship, academic integrity, bias, and data sensitivity, while developing a more critical and reflective approach to AI use. Through practical examples, you will learn how to evaluate AI tools, recognise their limits, and decide when and how they can be used appropriately in a university context. No prior technical knowledge is required, making the course accessible to learners from any discipline. By the end of the course, you will be better prepared to make informed choices about AI, use it in ways that support learning, and maintain good academic practice in your own work.

Module details

Our first module introduces you to what we mean by AI and GenAI, as well as the concept of digital literacies. We'll cover here the ways in which the tools work and the different categories of tools available. You'll be able to use the information here to boost your confidence in using the various types of AI tools available, as well as being able to discern what the tools do and how they might benefit you in your work, research and study.

What's included

4 videos3 readings4 assignments2 discussion prompts

4 videosTotal 11 minutes

Course Intro2 minutes
Lesson 1 recap2 minutes
Tool limitations based on ethics4 minutes
Module 1 complete!3 minutes

3 readingsTotal 70 minutes

Introduction to AI and Digital Tools20 minutes
Different Types of AI and Gen AI 20 minutes
Over To You - Exploring GenAI Tools30 minutes

4 assignmentsTotal 60 minutes

AI, GenAI and Digital Literacies10 minutes
Types of AI and uses of AI10 minutes
Using AI with ethics in mind10 minutes
End of module 1 assignment30 minutes

2 discussion promptsTotal 20 minutes

Explore your own knowledge of / views on AI10 minutes
What tools do you use and what are your key drivers?10 minutes

Our second module expands on the use of AI and GenAI tools. We'll cover here the role of the human and the computer in our tasks when studying and researching for university. We'll also look at the types of tools available in more depth and detail. We'll discuss how and why these work in particular ways, the benefits of using particular types of tools for particular types of work, and the role of AI in your studies. We'll also cover the crucial and important elements of some of the challenges and problems in using AI, including the human and environmental costs, the data biases, and the social issues involved.

What's included

5 videos5 readings4 assignments2 discussion prompts

5 videosTotal 19 minutes

Welcome to module 22 minutes
Your responsibilities vs. the AI's5 minutes
AI tools for research - Paper-finding tools4 minutes
AI tools for research - Summarising tools6 minutes
Module 2 complete!2 minutes

5 readingsTotal 120 minutes

Our Responsibilities and the AI’s Responsibilities in Study and Research30 minutes
GenAI Tools for Research and Study30 minutes
Over to you - finding AI tools that work30 minutes
The Costs of AI: Environmental, Human and Social15 minutes
The Biases of AI: Understanding How AI's Biases Work15 minutes

4 assignmentsTotal 60 minutes

Your Role and AI's Role10 minutes
AI Tools for Research and Study10 minutes
AI's Limitations10 minutes
End of module 2 assignment30 minutes

2 discussion promptsTotal 25 minutes

Your Role in Your Work10 minutes
GenAI and You: What Do You Do?15 minutes

We've covered now the ways in which you can use AI tools in your studies and research, the types of tools available to you, and some of the wider issues or problems with using AI tools. Below, you'll cover the key elements of academic integrity and good academic practice (including avoiding plagiarism!) when using AI tools. We'll look at the key principles of academic integrity in an AI-powered world, as well as thinking about the rules of research and using data with confidence and confidentiality.

What's included

5 videos3 readings3 assignments2 discussion prompts

5 videosTotal 31 minutes

Ownership, Plagiarism, and Academic Integrity5 minutes
AI and AI: Academic Integrity and Artificial Intelligence7 minutes
Journals, funding, and GenAI2 minutes
Data and Rights to Confidentiality9 minutes
Copyright and Intellectual Property8 minutes

3 readingsTotal 60 minutes

The Key Principles of Academic Integrity in an AI-World20 minutes
The Changing Face of Academic Integrity in the Light of Generative AI 10 minutes
AI and Your Subject30 minutes

3 assignmentsTotal 50 minutes

Academic Integrity and AI10 minutes
The Rules of AI in Your Study10 minutes
End of module 3 assignment30 minutes

2 discussion promptsTotal 20 minutes

Revisited: Explore your own knowledge of / views on AI10 minutes
Reflection: considering data information and sensitivity in your area of study10 minutes

Instructors

Instructor ratings

(10 ratings)

Andrew Struan

University of Glasgow

1 Course4,570 learners

Offered by

University of Glasgow

Learner reviews

5 stars
74.07%
4 stars
11.11%
3 stars
3.70%
2 stars
7.40%
1 star
3.70%

Showing 3 of 27

Reviewed on Mar 21, 2025

I learned so much from this course about the utilization of AI while still maintaining ethics and academic integrity. It is a course I'll recommend to students, researchers and educators alike.

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