Artificial Intelligence in Academia

Published 12/2025
Duration: 51m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 1.26 GB

Ethical use without plagiarism – A practical guide

What you’ll learn
– Critical Evaluation: Ability to assess AI outputs with caution and verify accuracy through triangulation.
– Ethical Awareness: Understanding of plagiarism risks and principles of academic integrity in AI use.
– Transparency Practice: Confidence in disclosing AI support responsibly to build trust and credibility.
– Risk Management: Skills to identify and handle fabricated data, misquoted sources, and outdated information.
– Strategic Application: Practical strategies for using AI efficiently in academic tasks without compromising originality.
– Resilience and Empowerment: Capacity to resist AI shaming and foster constructive, ethical engagement with technology.

Requirements
– There are no specific requirements for taking this course. It’s open and accessible to all individuals.

Description
Across 11 carefully designed modules, you will explore the capabilities and limitations of AI tools, learn how to apply triangulation to verify chatbots outputs, understand plagiarism risks, and reflect on the importance of transparency and disclosure. You will also examine cultural issues such as “AI shaming,” debate whether AI can be considered an author, and practise applying ethical principles through case studies, fill‑the‑gap exercises, and a playful final quiz.

By the end of the course, you will be equipped with practical strategies to integrate AI into your academic work without compromising originality or integrity. You will know how to spot fabricated results, avoid plagiarism pitfalls, disclose AI use responsibly, and resist stigma by modelling ethical practice. This is not just about rules but rather cultivating a mindset of critical thinking, resilience, and empowerment in a world where AI is here to stay.

Why Choose This Course

1 – Proven teaching experience.Taught by a Udemy instructor since 2020 with thousands of learners worldwide and consistently high ratings above 4.5, this course builds on years of trusted teaching practice.

3 – Practical resources you can keep.Includes downloadable PDF handouts with exercises, case studies, an AI Ethics Checklist, and a curated bibliography, giving you tools to apply lessons immediately in your own academic work.

4 – Focused and efficient learning. With around one hour duration, the course covers the most essential topics clearly and directly, respecting and valuing your time while ensuring you gain the knowledge you truly need.

5 – Balanced tone.Serious yet engaging, since the course blends academic rigour with playful elements, such as gamified exercises and a humorous final quiz, making learning both effective and enjoyable.

This course is designed for:

University studentswho want to use AI tools responsibly in essays, term paper, assignments, projects, and research.

Educators and lecturersinterested in integrating AI into their work while maintaining transparency and integrity.

Anyone curious about AI in educationwho wants to understand both its opportunities and its risks.

Who this course is for:
– University students, Researchers and academics, Educators and Lecturers, and anyone curious about AI in education.