4. Four & Five Recommendations for Assessing Design·AI Education
One of the most concerning implications of AI-powered tools in higher education is how it could easily aid students in mimicking the learning. That is, when AI is incorporated into their learning process without careful consideration and deliberation. The role of the instructors, therefore, is to factor in the critical and optimal usage of AI when identifying the learning objectives and designing the corresponding measurable outcomes in the courses they teach. To do so, it might be generative to first reflect on what skills and disciplinary knowledge are meant to be developed on the assignment and course level. To support such self-assessment of course designs, this guideline seeks to share some of the effective assessment methods currently adopted by SUTD faculty members and researchers at other universities, by way of peer-to-peer learning and a communal knowledge sharing practice.