Background
The UX Design Prototyping course enables students to develop functional User Experience design prototypes on a variety of mobile devices using lean prototyping methods.
Course evaluation is based on reports, with an emphasis on documenting process steps that include qualitative and quantitative testing with users.
Use of AI in the course
Use of Generative AI will be allowed in the course and can be useful for e.g. idea generation, image generation, elements of prototyping, information search etc.
Impact on Learning Objectives
The learning objectives do not mention any specific tools and are not planned to be updated based on the decision to allow use of Generative AI tools.
Impact on the course Materials and Methods
The students will be introduced to examples of using Generative AI tools in the form of e.g. small instructional videos and examples. The quality of the prototypes is expected to improve somewhat with the use of such tools.
Impact on the Evaluation Form
Evaluation is primarily based on how well the student can select and apply relevant process methods and document the results based on first-hand recorded and collected data. The students also need to document the prototype on multiple levels, and how it was derived.
Reports are very short and must be “to the point” focused on concrete findings. Tools based on Large Language Models could potentially help to write better texts, but the evaluation is based on the actual process followed, the documented findings and the cohesion of the concrete prototype across multiple levels.
At present, the evaluation form is considered resilient to Generative AI and will not change.