Search Constraints
Number of results to display per page
Results for:
Keywords
Artificial intelligence
Remove constraint Keywords: Artificial intelligence
Tags sim
Assessment
Remove constraint Tags sim: Assessment
1 - 3 of 3
Search Results
-
Video
Join colleagues from the Department of Computing (COMP) and the English Language Centre (ELC) as they share their insights, experiences, challenges and plans on redesigning assessments in response to the emergence of generative AI. In this webinar, participants will learn how PolyU staff are adapting their assessment strategies to incorporate AI-generated content, while still maintaining academic integrity and ensuring student learning outcomes are met. This session will provide valuable perspectives for educators who are interested in leveraging AI in their own teaching and assessment practices.
Event Date: 30/5/2023
Facilitator(s): Richard Lui (COMP), Adam Forrester (ELC), Mitesh Patel (EDC)
- Subjects:
- Student Engagement, Assessment & Feedback, Lesson Design, and Good Practices
- Keywords:
- Artificial intelligence Computer-assisted instruction Education -- Effect of technological innovations on Educational technology
- Resource Type:
- Video
-
Video
Generative AI challenges Higher Education institutions, educators and their practices to critically re-appraise the nature of what should and could be assessed. Gen AI can support equity and enhance new assessment designs. However, it also challenges us to reconsider what is valued, who is involved and what assessment can reliably reveal. This workshop will discuss the Australian Higher Education response to generative AI and explore the opportunities and challenges in relation to assessment.
Event Date: 19/6/2023
Facilitator(s): Michael Henderson (Monash University), Dick Chan (EDC)
-
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)