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Human-Computer Interaction (HCI) is a research area which studies how people interact with computer systems. Because of its multidisciplinary nature, HCI modules often sit at unease within the computer science curriculum which is primarily composed by modules typically assessed through objective measures, using quantitative methods. Assessment criteria of HCI topics need to make some subjective measures quantifiable (e.g. aesthetics and creativity). In the case of large classes, it is critical that the assessment can scale appropriately without compromising on the validity of the judgment of how well the learning outcomes have been achieved. In this seminar talk Adriana will focus on her experiences in redesigning the assessment of an undergraduate module on HCI, taking into account increasingly larger classes. Redesign decisions needed to preserve the validity and reliability of the assessment whilst respecting the need for timely feedback. Adriana will explain how learning activities in the module were aligned to the assessment. This included the use of PeerWise for student-authored MCQs, and the use of video to foster creativity and application of knowledge. The combination of these helped leveraging the power of peer interaction for learning.