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Video
Re-designing assessments within the context of generative AI is one of the most urgent challenges for universities. Might assessment re-design represent opportunities to build on key principles underpinning ‘good assessment’? Dependent on the disciplinary context, these might include iterative sequences of rich tasks; the development of student evaluative expertise; and linkages to real-world outcomes.
Effective assessment sequences are sometimes time-consuming. By reducing assessment overload, we can create much-needed space for new possibilities: increased authentic assessment; assessments that involve critical engagement with generative AI outputs; an enhanced role for digital and interactive oral assessment; teacher and student co-learning in partnerships for assessment re-design; and assessing process as well as product. The thorny issues of academic integrity and ethical use of generative AI also merit attention but should not distract from a primary focus on the development of student learning.
Generative AI raises exciting possibilities, yet there are few clear answers. In this workshop, complementary and alternative views, including those from different disciplinary perspectives will be welcomed.
Event Date: 22/8/2023
Speaker: Carless, David (Professor at the Faculty of Education, HKU)
Facilitator(s): Chen, Julia (EDC), Chon, Leo (EDC)
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Video
Just like ‘contactless’ payments which now are seen as one of the recommended ways of tackling the spread of COVID-19, the UGC-funded Augmented Teaching and Learning Advancement System (ATLAS) can make ‘contactless’ education with on-campus experience a reality in our hybrid teaching, learning and assessment mode. Join us in this online sharing session to learn from the innovative principal investigator and HKU colleagues this time about ATLAS and how ‘contactless’ teaching and learning with ATLAS can enable educators to minimize in-person contact and safeguard student activities during the COVID-19 crisis and beyond.
Event Date: 20/1/2021
Facilitator(s): Dr Chun Ho Liu (HKU), Dr Charles Wong (LSGI), Roy Kam (EDC)
- Subjects:
- Student Engagement and Lesson Design
- Keywords:
- Blended learning Computer-assisted instruction Teaching -- Computer network resources
- Resource Type:
- Video