Professional AI Use in Higher Education
Help educators harness AI responsibly and effectively for teaching, research, and productivity.Intro
Professional AI Use in Higher Education is a four-course programme that supports professionals as they navigate becoming effective AI collaborators in research and beyond.
The programme covers the building of AI literacy through basic definitions of AI to creating goals to becoming the AI subject matter expert in the office. It further provides learners with specific prompt patterns to ensure ethical AI use in research.
From learning basic definitions of AI, creating goals to become the AI subject matter expert in the office, and using specific prompt patterns to ensure ethical AI use in research, the programme supports professionals in university settings and beyond in:
• incorporating AI into daily tasks,
• recognising the impact of AI at the organisational and societal levels
• developing ethical standards for AI use,
• creating plans to continue AI learning,
• and applying specific prompt patterns for responsible AI use in research.
Professional AI Use in Higher Education currently includes the following courses:
2. Develop Your Professional AI Use
3. Thrive in an AI-Enhanced Professional Environment
4. Responsible Usage and Prompting of AI for Researchers
Supported by
What You’ll Learn
Learn the Basics of AI provides an introduction to using AI in the workplace to increase efficiency and productivity. This course includes applying the AI literacy framework, ethical considerations for using AI in professional work, and developing a plan to collaborate with AI on professional tasks.
Develop Your Professional AI Use explores the AI literacy framework in greater depth and examines the impact of AI on the organisational and societal levels. This course highlights the need to stay informed of AI advancements and create a plan to become the AI expert in your organisation.
Thrive in an AI-Enhanced Professional Environment supports professionals as they prepare to navigate their career paths in an AI-driven future by applying strategies to integrate AI as an augmentative tool and developing key skills to use AI effectively in their work.
Responsible Usage and Prompting of AI for Researchers guides researchers through responsible, ethical, and effective use of AI in research by reviewing AI usage guidelines for research and following specific prompt patterns within the various stages of research and publishing.
Who It’s For
These courses are relevant for university professionals and researchers who want to ensure ethical usage of AI, increase their AI literacy, and remain competitive in the workplace by embracing and collaborating with AI to increase efficiency and productivity.
Get Prepared
All courses are led by an expert instructor and filled with compelling examples of real employment materials, interactive exercises, and opportunities for reflection. For this reason, we recommend you use a laptop or tablet if possible.
Course Expert(s)
Dr Lynette Pretorius
Dr. Lynette Pretorius is an award-winning educator and researcher in the fields of academic language, literacy, research skills, and research methodologies. She has experience teaching undergraduate, postgraduate, and graduate research students, including supervising PhD students. Lynette is the author of multiple journal articles and two academic books focused on the experiences of graduate research students in academia. She has qualifications in Medicine, Science, Education, as well as Counselling, and her research interests include doctoral education, academic identity, student wellbeing, AI literacy, and autoethnography. Lynette is a Senior Fellow of the Higher Education Academy – an international honour awarded to educators who demonstrate a thorough understanding of, and a strong commitment to, teaching and learning approaches which foster high-quality student learning.
Dr Marc Pinski
Dr. Marc Pinski is a researcher and consultant with experience in artificial intelligence and business strategy. Currently, he is a researcher at the Technical University of Darmstadt. He has collaborated in and organised different working groups on “AI & Finance – Innovation, Resilience, and Responsibility” and “Responsible Algorithmic Decision-Making in the Workplace” at the Center for Responsible Digitalization (ZEVEDI).
His research centers on AI Literacy, including conceptualization, measurement, empowerment, and its impacts on individuals and organisations. His work has been published in journals such as “MIT Sloan Management Review,” “Electronic Markets,” “Computers in Human Behavior: Artificial Humans,” and “Computers and Education Open,” and presented at conferences like the “International Conference on Information Systems,” “Conference on Human Factors in Computing Systems,” and “Hawaii International Conference on System Sciences.”
Dr Pinski holds a PhD in Information Systems from the Technical University of Darmstadt, a Master of Science in Management and Strategy from the London School of Economics and Political Science, and a Bachelor of Science in Business Administration from Freie Universität Berlin.
Dr. Leo S. Lo
Dr. Leo S. Lo is currently the Dean of the College of University Libraries and Learning Sciences at the University of New Mexico. With an educational background that includes a Doctor of Education (Ed.D.) in Higher Education Management from the University of Pennsylvania and graduate degrees in Survey Research, Library & Information Studies, and Screenwriting, Dr. Lo brings a diverse and comprehensive skill set to his role.
A key area of focus for Dr. Lo is integrating Artificial Intelligence (AI) into library services and academic support, aligning with the evolving landscape of library sciences and education technology. He actively engages in research and discussions around AI, aiming to enhance AI literacy and its ethical application in academia. Dr. Lo’s work in this domain is characterised by a balance of strategic leadership and a hands-on approach to the challenges and opportunities presented by AI in educational settings.
Dr. Salim Razi
Dr. Salim Razı is the Founder and Director of COMU Centre for Academic Integrity. He served as a founder Board member of the European Network for Academic Integrity from 2017 to 2023 and is the co-founder of AMEA Integrity. He coordinated the EU Erasmus+ KA2 project “Facing Academic Integrity Threats (FAITH)” which earned the “Good Practice” label. He developed the ‘transparent academic writing rubric’ and struggles to prevent plagiarism through the ‘anonymous multi-mediated writing model’, for which he was awarded the Turnitin Global Innovation Award in 2015. His model was listed as a good practice by the Australian Government Tertiary Education Quality and Standards Agency in 2017. He received the ENAI Outstanding Member Award in 2023 with reference to his significant contributions to the promotion of academic integrity especially among early career researchers by initiating “ENAI PhD Summer Schools” that was also disseminated by Times Higher Education. He also received the ENAI Exemplary Activism Award in 2025 as a founder of the Asia–Middle East–Africa Conference on Academic and Research Integrity. He is an associate editor of the International Journal for Educational Integrity.
Burcu Özge Razı
Burcu Özge Razı is the Student Board President of the ÇOMÜ Centre for Academic Integrity (COMU CAI) at Çanakkale Onsekiz Mart University. Her scholarly work focuses on academic integrity, ethical AI implementation, and the pedagogical use of generative artificial intelligence in language education. She also serves as an Onboarding Consultant for Türkiye at Turnitin. Burcu has contributed to major international projects, including the Erasmus+ FAITH project and the Dubai RDI-funded Yathiqu Project. She has presented widely at international conferences and delivered professional development workshops on AI ethics, prompt engineering, academic integrity policy development, and AI literacy.
10 Hours
English
Self-Paced - Online
Certificate
Downloadable and shareable Certificate of Completion