Bates, Tony (2022). Teaching in a digital age: Guidelines for designing teaching and learning (Tredje upplagan). Tony Bates Associates Ltd. Kapitel 9.4. (14 pages.)
Dawson, April (2023). Artificial Intelligence and Academic Integrity. Aspen publishing. (88 pages)
Liu, Bosen Lily, Morales, Diana, Roser Chinchilla, Jaime Félix, Sabzalieva, Emma, Valentini, Arianna, Vieira do Nascimento, Daniele & Yerovi, Clarisa (2023). Harnessing the Era of Artificial Intelligence in Higher Education: A Primer for Higher Education Stakeholders. IESALC. (92 pages)
Luckin, Rosemary & Holmes, Wayne (2016). Intelligence Unleashed: An argument for AI in Education. London: UCL Knowledge Lab. (61 pages)
Roumate, Fatima (red.) (2023). Opportunities and challenges and ethics Artificial Intelligence in Higher Education and Scientific Research Future Development. Springer. (152 pages)
Sharples, Mike (2023). Towards social generative AI for education: Theory, practices and ethics. Learning: Research and Practice, 9:2, 159-167, DOI: 10.1080/23735082.2023.2261131. (8 pages)
Stahl, Bernd & Schroeder, Doris & Rodrigues, Rowena (2023). Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges. Springer. (121 pages)
Yee, Kevin, Whittington, Kirby, Doggete, Erin & Uttich, Laurie (2023). Chat GPT Assignments to Use in your Classroom Today. FCTL Press. (145 pages)
Additional literature may be added (maximum 200 pages).
Generative AI in Teaching and Examination in Higher Education
About the course
Course content
The aim of the course is for the participants to develop basic knowledge about generative AI and how it may affect teaching and examination in higher education today and in the future. Participants are introduced to basic concepts in generative AI, get an overview of the challenges that generative AI poses to higher education, and explore how generative AI can be applied in teaching and examination. Participants are also introduced to ethical and legal aspects related to generative AI.
Entry requirements and selection
Entry requirements
Bachelor's degree or equivalent
Selection
100% University credits completed
Course literature
Course evaluation
Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).
