Artificial intelligence and academic integrity in education
This module helps educators manage generative AI’s impact on academic integrity and promote responsible learner use.
Feeling overwhelmed by generative AI and its implications for academic integrity? This module is your practical guide to navigating the complexities of AI in education. You will gain actionable strategies to set clear boundaries, mitigate risks, and help your learners use AI responsibly, ensuring fairness and upholding academic standards across your institution.
- Explain what generative AI is and how learners may use it in educational settings
- Distinguish between acceptable AI-supported learning and academic misconduct
- Identify key academic integrity risks, including plagiarism, unauthorised assistance, fabricated references, over-reliance, and data / privacy concerns
- Apply practical strategies for setting clear expectations around AI use
- Recognise why detection-only approaches are limited and why assessment design, transparency, and learner education are essential
- Draft or review a simple AI-use statement for a course, assessment, or learning activity
- Artificial intelligence and academic integrity in education
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Artificial intelligence and academic integrity in education