At the end of TALES, participants will be able to:
[Jointly Organised by Centre for Holistic Teaching and Learning (CHTL), HKBU & Centre for Learning, Teaching and Technology (LTTC), EdUHK]
20 January 2025 (Monday), 2:30 pm - 4:00 pm
Online via Zoom
Ms Winnie WONG (LTTC, EdUHK)
Educational Development Manager,
Centre for Learning, Teaching, and Technology (LTTC),
The Education University of Hong Kong (EdUHK)
Mr Will DING (LTTC, EdUHK)
Educational Development Officer,
Centre for Learning, Teaching, and Technology (LTTC),
The Education University of Hong Kong (EdUHK)
This workshop aims to equip participants with the essential knowledge and skills to navigate the complexities of academic integrity in the age of artificial intelligence, particularly using generative AI in learning and researching. Through an engaging and interactive gamified metaverse platform, attendees will explore the principles of ethical AI usage, the implications of plagiarism, and the importance of original thought in academic work. Participants will engage in immersive scenarios that simulate real-world ethical dilemmas. They will explore the metaverse with Non-Player Characters (NPCs) and complete guided tasks to foster critical thinking and collaborative problem-solving. Participants will also have opportunities to chat with the generative AI-empowered NPC in the metaverse and receive badges and scores. By the end of the workshop, participants will have a deeper understanding of how to uphold academic integrity and responsibly leverage AI tools, ensuring their contributions to learning are both impactful and ethically sound.
Prof Michelle Mingyue GU
Professor of Sociolinguistics,
Dean of Graduate School,
The Education University of Hong Kong
The internet’s anonymity and unrestricted access bring both risks (e.g., cyberbullying, hacking) and opportunities (e.g., learning, socializing). Digital citizenship (DC) education helps students (a) protect themselves from online risks and (b) use social media’s positive potential effectively. To support this, it is important to understand the ethically, socially, and culturally meaningful literacy practices that promote positive DC.
In this webinar, referring to three of my studies, I first examine how family influence (e.g., parental involvement), individual factors (e.g., internet self-efficacy, internet anxiety), and interpersonal factors (e.g., communication and social media competence) shape DC. Second, I analyze predictors of adolescents’ DC, such as demographic (e.g., gender, computer use), individual (e.g., social networking use, internet skills), and psychological (e.g., internet attitudes) factors, and how DC influences online behavior and learning. Third, I discuss how bilingual students in Hong Kong construct DC through social media, with implications for education in multicultural contexts. Three of my empirical studies on DC will be referred to in the talk.
Dr David SANTANDREU
Head of Educational Program Development, Mohamed bin Zayed University of Artificial Intelligence
This workshop aims to equip teachers with how AI can enhance assessment and feedback, providing students more personalised and meaningful insights.
Dr David SANTANDREU
Head of Educational Program Development, Mohamed bin Zayed University of Artificial Intelligence
This workshop aims to empower students with practical AI tools for academic, professional, and problem-solving applications.