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Avoiding Plagiarism

Develop students’ confidence to produce original, ethical academic work in an evolving learning environment. This programme frames plagiarism through the lens of ownership, attribution and trust, supporting students to understand what academic integrity looks like across written work, multimedia, data, code and AI‑generated content. Through practical skill‑building and real‑world scenarios, students learn to integrate sources responsibly, maintain their academic voice, and make informed decisions about emerging digital tools.

Advantages of using Avoiding Plagiarism

  • Support students in building foundational skills in academic writing, referencing, and source integration from the outset of their studies
  • Equip learners to navigate complex challenges around generative AI, data use, and multimedia content with confidence and integrity
  • Enhance students’ confidence and independence by developing their academic voice and ethical decision-making skills
  • Future-proof academic integrity education by addressing emerging technologies and evolving definitions of authorship and originality

This programme is for:

Undergraduate and master's students

    • Plagiarism: from copy and paste to AI
    • Using sources effectively: techniques to prevent plagiarism
    • Protecting your integrity: strategies for academic success
    • Beatriz Moya Figueroa, Assistant Professor at the Instituto de Éticas Aplicadas, Pontificia Universidad Católica de Chile. She holds a Ph.D. in Educational Research (Leadership, Policy, and Governance) from the University of Calgary. Her research focuses on academic integrity, ethical use of AI in education, and the Scholarship of Teaching and Learning (SoTL). She has extensive experience in higher education teaching, policy, and leadership, and collaborates internationally on projects supporting ethical academic practices. 
    • Dr Sarah Elaine Eaton, Professor and Research Chair in the Werklund School of Education and Chair, Leadership, Policy, and Governance specialization area. Holds a concurrent appointment as an Honorary Associate Professor, Deakin Learning Futures, Deakin University, Australia.
    • Dr Thomas Lancaster, Computing professional with 25 years’ experience working in higher education. Current research interests include educational use of generative AI, academic integrity, and student cheating.
    • Quality Assurance Agency (QAA), leading quality agency with extensive experience in regulatory and collaborative quality assurance and enhancement. It works across the UK and internationally to ensure that students and learners experience the highest possible quality of education. 

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