GenAI / EdTech for All – A Toolkit Series (Spring 2026)

Event Details

Date : 25 Feb 2026 (Wed) and more

Time : 12:30pm – 1:30pm

Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Abstract

Many tools offer exciting possibilities in the ever-evolving fields of GenAI and educational technology (EdTech). To help educators harness the power of these tools, we offer a series of workshops focused on the most commonly used GenAI and EdTech tools. Participants will better understand and integrate these tools into their teaching practices through these workshops. They will be provided with practical examples of their application in real-world scenarios. This is a unique opportunity to explore and leverage these tools to enhance the educational experience for both teachers and students.

Date : 25 Feb 2026 (Wed)

Time : 12:30pm – 1:30pm

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU

Quota : 30

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Abstract

This workshop provides a foundational introduction to workflow automation using the n8n platform. Participants will gain hands-on experience building automated workflows through practical examples. This session lays the groundwork for the upcoming follow-up workshop, “Exploring AI Agent with n8n”.

Date : 4 Mar 2026 (Wed)

Time : 12:30pm – 1:30pm

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU

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Abstract

AI agents are becoming a major trend in 2025–26. With tool use, LLM capabilities can be extended to handle a wider range of tasks and solve more complex problems. In this workshop, we will explore how to build an AI agent in n8n using a practical, hands-on example. Attending the first n8n workshop will provide a helpful foundation, but it is not a strict prerequisite.

Date : 24 Mar 2026 (Tue)

Time : 1:00pm – 2:00pm

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU

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Abstract

Vibe coding is an emerging approach to programming that uses natural human language as the primary way to write and refine code. In this introductory workshop, teachers will explore the concept and current trends of vibe coding and experiment with Cursor, an AI enhanced code editor. Through guided, hands on activities, participants will use vibe coding to build a simple web page or small tool, laying the foundation for a subsequent, more in depth workshop where they will create a chatbot interface and connect it to an n8n workflow using VS Code and GitHub Copilot.

Date : 8 Apr 2026 (Wed)

Time : 12:30pm – 1:30pm

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU

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Abstract

We explored the n8n AI agent and Vibe Coding in Workshops 2 and 3, respectively. In this workshop, we’ll dive deeper into Vibe Coding. Specifically, we’ll use VS Code to Vibe Code a chatbot interface for the n8n AI agent.
For information, please contact:

Ms. Wing LIN

Teaching and Learning Innovation Centre

Beyond Correction: An AI Chatbot for Feedback Literacy in Academic Writing

Event Details

Date : 22 Apr 2026 (Wed)

Time : 12:30pm – 1:30pm

Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Presenters :

  • Dr. Michelle Raquel, Senior Lecturer, Centre for Applied English Studies, Faculty of Arts, HKU
  • Mr. Nicholas Mo, Assistant Lecturer, Centre for Applied English Studies, Faculty of Arts, HKU
  • Dr. Juan Castillo, Lecturer, Centre for Applied English Studies, Faculty of Arts, HKU

Discussant : Prof. David Carless, Professor, Faculty of Education, HKU

Host : Dr. Jessica To, Lecturer, TALIC, HKU

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Video Recording
Presentation Slides

Abstract

This presentation demonstrates a prototype AI chatbot that enhances feedback literacy for academic writing, specifically literature review assignments. Using dynamic assessment and graduated prompting, the chatbot guides students to improve synthesis, criticality, and authorial voice through scaffolded reflection (e.g., “How does this source connect to your argument?”). Grounded in sociocultural theory, feedback literacy, and genre-based pedagogy, it fosters self-regulated revision rather than direct corrections. The live demo shows adaptive interactions that build metacognition and disciplinary writing skills. Attendees will explore implications for AI in writing instruction, academic integrity, and scalable feedback support.

About the Speakers

Dr. Michelle Raquel is a Senior Lecturer at the Centre for Applied English Studies. She possesses over two decades of higher education experience and directs HKU’s Communication-intensive Courses initiative. Her distinguished research in language assessment and acquisition explores innovative pedagogies and diagnostic assessment, notably including co-editing Routledge’s Quantitative Methods for Language Assessment.
Mr. Nicholas Mo is an Assistant Lecturer at the Centre for Applied English Studies. He specializes in communication and digital literacy and pioneers innovative pedagogies involving GenAI, podcasting, and digital storytelling. His academic focus centers on advancing educators’ digital competencies to cultivate future-ready students.
Dr. Juan Castillo is a Lecturer at the Centre for Applied English Studies. He brings 14 years of expertise in academic literacy instruction at HKU. Alongside supervising MATESOL research and advancing the Communication-intensive Courses initiative, his current scholarship investigates students’ critical evaluation of GenAI-generated content.

About the Discussant

Prof. David Carless works at the Faculty of Education, University of Hong Kong. He is one of the pioneers of feedback literacy research and is listed as a top 0.1% cited researcher in the Stanford top 2% list for social sciences.

Co-host

Communication Intensive Courses, HKU

For information, please contact:

Ms. Miffy LEUNG

Teaching and Learning Innovation Centre