"Digital Education and AI Professional Training" Series: AI‑Enabled New Models for Chinese and Putonghua Language Teaching

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As AI is increasingly integrated into classroom practice, the focus of Chinese and Putonghua language teaching has shifted towards how AI can be effectively used to enhance student learning and to develop classroom practices that are centred on learning outcomes. This sharing session brings together frontline teaching experience and educational technology practice to illustrate practical ways in which AI can be applied in language education, from pedagogical principles to everyday classroom implementation. Key areas of discussion include addressing diverse learning needs, improving the quality of teaching and learning, and supporting teachers in reducing repetitive administrative and marking tasks, offering schools and educators clear and practical reference points for implementation.

Date: 29 April 2026 (Wednesday)
Time: 4:00 – 5:30 PM
Format: Online (Zoom)
Language: Cantonese

Speakers:
Diocesan Boys' School, Chinese Department Head, Dr Leung Tsz Wan
Sayo AI, Makwan and Sayo Putonghua Product Manager, Mr Ian Wong

Seminar Highlights:
AI Practices in Chinese Language Teaching
An introduction to how AI can be integrated into reading and writing lessons to support students throughout the writing process—from idea generation and expression to revision—enhancing overall writing performance.

Examining AI from an Assessment Perspective
A discussion on the effectiveness and limitations of AI‑assisted marking and feedback, alongside strategies for guiding students to use AI appropriately and avoid over‑reliance.

New Directions in Putonghua Teaching
An exploration of AI‑supported interactive oral practice, including reading aloud, pinyin exercises and dialogue activities, enabling students to practise speaking at any time while improving pronunciation accuracy and examination readiness.

  • Register Start Time
    2026-04-15 12:00:00
  • Register Deadline Time
    2026-04-29 15:00:00
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Ms Renee NG

2624 1091

renee.ng@hkecl.net

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