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Hong Kong Polytechnic University
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Dr. Tulio Maximo is an Assistant Professor at The Hong Kong Polytechnic University School of Design. Tulio aims to improve society collaboratively by including individuals and institutions in knowledge development. His research interests include intergenerational and inclusive design, mobility devices, sitting ergonomics, design-led social entrepreneurship, healthcare services, and inclusive education. Tulio teaches ergonomics, capstone projects, and cooperative projects and has created the elective subject Design Meets Disabilities. He has received numerous awards for his design and teaching, including the UGC Teaching Award 2022 as an Early Career Faculty Member and the Red Dot Product Design Award 2022 for the design of the Omni Study System for children living in subdivided flats. Tulio’s teaching philosophy is inspired by value creation education and universal design for learning, and he advocates empathy as a core teaching and learning strategy. In this case study of teaching good practices, Tulio share how he uses empathy as a core teaching strategy.
- Subjects:
- Good Practices
- Keywords:
- Effective teaching Teaching
- Resource Type:
- Others
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Video
Empathy is the ability to share someone else’s feelings or experiences by imagining what it would be like to be in that person’s situation. It helps students to gain insight into the experiences of a diverse population. As a teacher, I believe empathy is key to forging the creative leaders of tomorrow and instilling the goal of a more equal and diverse society. Here, I explain how I use empathy as a core teaching strategy to apply theoretical content to solve real-world problems, encourage my students to practice those theories and stand in my students’ shoes to improve my teaching.
- Subjects:
- Good Practices
- Keywords:
- Effective teaching Teaching
- Resource Type:
- Video
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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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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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The QS Stars Reimagine Education Awards, backed by the Wharton School, describes itself as “ The global awards for innovative higher education pedagogies enhancing learning and employability”. Over the past few years PolyU has enjoyed much success at these awards with multiple shortlisted and winning entries. In this briefing, Reimagine Education Regional Award 2022: Asia Gold Award winner Dr. Kitty Chan (SN) will share her insights on converting great educational innovations into award-winning applications, as well as the hints on preparing the application materials. EDC and IPAO representatives will provide additional information to support colleagues who are interested in submitting their applications.
Event Date: 27/6/2023
Facilitator(s): Chan Kitty (SN), Anna Seto (IPAO), Kevinia Cheung (EDC), Kai Pan Mark (EDC)
- Keywords:
- Educational innovations Proposal writing for grants Education Higher--Awards
- Resource Type:
- Video
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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)
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A world class AI expert will explain to us in layman terms the power and limitations of generative AI tools, key factors that affect their performances and what users should know before deciding to use these tools and when reviewing the responses from these tools. Be inspired to discover more applications of these tools!
Event Date: 13/6/2023
Presenter: Prof. Usama Fayyad, Executive Director of the Institute for Experiential AI, Khoury College of Computer Sciences, Northeastern University, USA
Facilitator(s): Eric Tsui (EDC), Ioanna Pavlidou (ITS)
- Keywords:
- Machine learning Artificial intelligence Education -- Effect of technological innovations on
- Resource Type:
- Video