Course info

Generative AI has changed assessment in higher education but hasn't removed the need for it. Many faculty feek discouraged and dismayed as traditional forms of assessment no longer provide good measures of student learning but instead create a feeling of mutual mistrust. The two-lane assessment approach, developed by Danny Liu and Adam Bridgeman at the University of Sydney, provides a framework for instructors to balance "secure" assessments (where you can assess student learning directly) with "open" assessments (where AI use is expected and students are given guidance about when and how to use these tools effectively). Rather than policing every assignment or banning AI entirely, they argue that faculty can design courses that acknowledge reality while maintain meaningful evaluation of student learning, without faculty having to lean into suspicion.

In this workshop, we'll explore the pros and cons of the Two Lane approach and look at some alternatives. We'll explore the difference between secure and open assessment across different disciplines and course formats, considering which types of assessments work best in each lane, and what the options are for secure assessment at App State.