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Chon, Leo
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Educational tests and measurements
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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
The rapid development and widening availability of generative AI tools to create and refine content presents a huge opportunity to re-assess some of the key foundational assumptions and practices behind the ways that our courses are designed and delivered.
In this seminar, Dr Bates will share his views on educators’ obligations to engage with these issues, educate students (and ourselves) on the affordances and limitations of new and emerging AI tools, iteratively experiment in a space that is rapidly changing, and share the successes (and failures) of UBC colleagues.
Dr Bates will also present some practical advice for different ways in which generative AI tools may be incorporated into teaching activities and assessments and outline ways in which UBC is gearing up to support instructors in these efforts.
Event Date: 9/8/2023
Presenter: Bates, Simon (Vice-Provost and Associate Vice-President, Teaching and Learning, Pro Tem, Professor of Teaching, Department of Physics and Astronomy, The University of British Columbia (UBC), Canada),
Facilitator(s): Lo, Dawn (EDC), Chon, Leo (EDC)
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Video
Assessment is an integral part of teaching and learning. However, designing and conducting online assessments can be challenging tasks. Would you like to get some tips on designing open-book assessments and quizzes, and ways of conducting them effectively online? Join this webinar to learn some good practices and maybe share your own with others!
Event Date: 05/10/2020
Facilitator(s): Wallace Lai (LSGI), Kannass Chan(EDC), Laura Zhou(EDC), Leo Chon (EDC)
- Subjects:
- Good Practices and Assessment & Feedback
- Keywords:
- Educational tests measurements Web-based instruction
- Resource Type:
- Video
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Video
In view of rising COVID cases, PolyU has recently required that, in this semester, all on-campus face-to-face invigilated examinations be changed to online alternatives: take-home (durations: days) or online invigilated. In this session, Dr Lilian Pun (LSGI) will discuss how she modified her previous assessment into a take-home exam to assess her students this semester while Ir Dr Wallace Lai will share his journey of changing his exams from closed-book to open-book. Come and join us in this teacher sharing session to learn some tips and be inspired!
Event Date: 11/12/2020
Facilitator(s): Kannass Chan (EDC), Laura Zhou (EDC), Leo Chon (EDC)
- Subjects:
- Assessment & Feedback
- Keywords:
- Educational tests measurements Web-based instruction
- Resource Type:
- Video