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Video
Interested in harnessing the power of Generative AI (GenAI) for your studies? Join us in exploring the GenAI platform, its functionality and usage policies in our upcoming workshop. Learn about how GenAI can enhance your learning experience and how to employ it in your studies while maintaining data privacy and security. We'll introduce you to 'prompts engineering' and emphasise the importance of academic integrity in the context of AI technology usage. Come and join this workshop co-organised by EDC and ITS.
Event Date: 27/9/2023
Facilitator(s): Chan, Dick (EDC), Mark, Kai Pan (EDC), Tam, Barbara (EDC), Leung, Rian (ITS)
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Video
Curious about integrating Generative AI (GenAI) into your teaching methodologies? Embark on a journey with EDC and ITS in a comprehensive workshop introducing the innovative GenAI platform. This session will guide you through the platform's operations, explaining its usage policies. During the workshop, we'll briefly discuss the need for redesigning our assessment strategies in sync with this advanced tool to optimise learning outcomes effectively. Even more importantly, we will discuss data security and privacy concerns surrounding GenAI usage. This workshop offers an unrivalled opportunity to expand your understanding and proficiency in using AI in an educational context. If you're prepared to explore the cutting edge of education technology, then this is the ideal workshop for you.
Event Date: 20/9/2023
Facilitator(s): Chan, Dick (EDC), Mark, Kai Pan (EDC), Tam, Barbara (EDC), Leung, Rian (ITS)
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Video
Come hear three very different examples of assessment design that fully expect students to consult GenAI. They aim to deepen learning experiences by requiring students to produce multimodal submissions, revisit particular key points discussed in class, and demonstrate their understanding via hands-on quizzes and lab notebooks. When the assessment focus changes, the assessment criteria may change accordingly, and this will be included in the workshop.
Event Date: 30/8/2023
Facilitator: Chen, Julia (EDC)
Speaker(s): Chu, Rodney (APSS), Chan, Dick (EDC), Cheung, Gary (ABCT), Robbins, Jane (ELC)
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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
Join us in this hybrid session to experience different eAssessment practice through 'Simulating' and 'Exploring' to come up with practical solution for asynchronous and/or synchronous eAssessment that may suit your hybrid classroom.
Event Date: 25/5/2022
Facilitator(s): Roy Kam (EDC)
- Subjects:
- Learning Analytics, Lesson Design, Assessment & Feedback, and Student Engagement
- Keywords:
- Educational tests measurements Web-based instruction
- Resource Type:
- Video
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Video
This session, the second in a two-part series, explores how students can use the note-taking and discussion tools in uRewind to engage more deeply with the content of your lecture recording. It also looks at how you can create quizzes that require students to summarise what they have watched. By the end of this session, you will be able to: (1) design more complex quiz questions that develop the skill of summarising; (2) help students write contextualised, personal reflections on parts of your lecture recording; (3)engage students in discussions based around key moments in your video.
Event Date: 1/4/2022
Facilitator(s): Mitesh Patel (EDC), Dick Chan (EDC)
- Subjects:
- Student Engagement, Learning Analytics, Lesson Design, and Assessment & Feedback
- Keywords:
- Web-based instruction Lecture method in teaching Motivation in education Computer-assisted instruction Engagement (Philosophy)
- Resource Type:
- Video
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Video
This session, the first in a two-part series, looks at how you can use tools in uRewind to organise your lecture recording and create in-video quizzes to encourage active learning. It also examines the use of learning analytics to help you see how students are engaging and interacting with your video. By the end of this session, you will be able to: (1) upload your recorded lecture to uRewind and create a table of contents so your students can easily navigate your videos; (2) create in-video quizzes to promote active engagement (3)analyse student viewing data.
Event Date: 29/3/2022
Facilitator(s): Mitesh Patel (EDC), Dick Chan (EDC)
- Subjects:
- Student Engagement, Learning Analytics, Assessment & Feedback, and Lesson Design
- Keywords:
- Web-based instruction Lecture method in teaching Motivation in education Computer-assisted instruction Engagement (Philosophy)
- Resource Type:
- Video
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Video
In this seminar we will present statistics related to online teaching during Semester 2 together with student feedback about their experience of online teaching. Analytics relating to usage of Learn@PolyU, uRewind and synchronous platforms such as Bb Collaborate and MS Teams provide a picture of how online teaching was conducted during the suspension of on-campus classes. Combined with student feedback from surveys and via the SFQ, this information is useful for informing teaching improvement and enhancement as well as for seeing what other teachers did online during this period.
Event Date: 29/07/2020
Facilitator(s): Christine Armatas (EDC), Kannass Chan (EDC), Joseph Chow(EDC), Ada Tse (EDC)
- Subjects:
- Learning Analytics
- Keywords:
- Learning Psychology of Feedback (Psychology) Web-based instruction Communication in education
- Resource Type:
- Video
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Video
The CoP on learning analytics is holding its first event to kick-off the new round of CoPs funded by the University for 2020-2022. During the session you will meet the new facilitators of this CoP, hear about current learning analytics activities at PolyU and have the opportunity to contribute to planning future events held by the CoP.
Event Date: 24/09/2020
Facilitator(s): Henry Chan (COMP), Christine Armatas (EDC), Dick Chan (EDC), Ada Tse (EDC)
- Subjects:
- Learning Analytics
- Keywords:
- Learning -- Evaluation Education -- Data processing
- Resource Type:
- Video