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AI Ethics for Academic Success

Learn to use generative AI ethically in academic work, covering research, writing, and integrity guidelines for university students (100-160 chars)

Learn to use generative AI ethically in academic work, covering research, writing, and integrity guidelines for university students (100-160 chars)

This comprehensive course provides university students from all disciplines with essential knowledge on using AI tools ethically in academic work. Students learn how various AI tools function as aids for study, research, and writing, while exploring practical applications within academic contexts. The course addresses critical aspects of ethics, academic integrity, authorship, and plagiarism when using AI tools, offering current guidance on utilizing these technologies with rigor and accuracy. Special emphasis is placed on understanding digital literacies, tool limitations, and responsible AI usage in research.

Instructors:

English

4 languages available

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AI Ethics for Academic Success

This course includes

9 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Understand the fundamentals of AI and generative AI tools in academic contexts

  • Master ethical use of AI tools for research and writing

  • Develop skills in maintaining academic integrity with AI assistance

  • Learn to evaluate AI tool limitations and capabilities

  • Apply responsible AI usage in academic work

Skills you'll gain

academic integrity
generative AI
research skills
digital literacy
study methods
AI ethics
academic writing
plagiarism prevention
research methodology
responsible AI

This course includes:

60 Minutes PreRecorded video

11 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 3 modules in this course

This course focuses on teaching university students how to ethically and effectively use AI tools in their academic work. The curriculum covers the fundamentals of AI and generative AI tools, their appropriate use in research and writing, and crucial aspects of academic integrity in an AI-augmented environment. Students learn about different types of AI tools, their limitations, ethical considerations, and best practices for maintaining academic integrity while leveraging these technologies.

AI for Students: Using AI Tools in Study and Research

Module 1 · 2 Hours to complete

AI Capabilities and Human Responsibites

Module 2 · 3 Hours to complete

Academic Integrity

Module 3 · 2 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructors

Andrew Struan
Andrew Struan

679 Students

1 Course

Expert in Academic Development and Political Linguistic History

Dr. Andrew Struan serves as the Head of Student Learning Development at the University of Glasgow, where he leads an award-winning, multi-disciplinary team dedicated to enhancing students' academic capabilities. His expertise spans both academic literacies and political history, with his PhD research focusing on the linguistic history of parliamentary debate and how language shapes ideologies. As the course coordinator for the Academic Writing Skills Programme, the largest course in UK Higher Education, he has made significant contributions to student development. His leadership extends beyond the university as co-Chair of ScotHELD, the national network for Scottish Learning Developers, and he holds a position on the Advisory Board of the Historical Thesaurus. Dr. Struan's work combines his passion for academic development with his research interests in political linguistics, making him instrumental in shaping how students develop their academic writing and research skills while contributing to our understanding of how political language evolves over time.

Caitlin Diver
Caitlin Diver

679 Students

1 Course

Digital Education Innovation Specialist

Caitlin Diver serves as the Digital Learning Technologist at the University of Glasgow's Student Learning Development team, where she plays a crucial role in enhancing digital education accessibility and effectiveness. Her expertise focuses on creating student-friendly guidance for various digital resources and tools, including learning management systems like Moodle, multimedia platforms such as Kaltura, productivity suites like Microsoft Office, and emerging AI technologies. Working collaboratively across Schools, Colleges, and Services, she develops comprehensive, easy-to-understand educational resources that help students navigate the university's digital infrastructure. Her work is instrumental in bridging the gap between complex technological tools and student needs, ensuring that digital learning resources are accessible and effectively utilized throughout the university community

AI Ethics for Academic Success

This course includes

9 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.