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eLAFP AI in Education Exhibition by HKPC

  • Feb 6
  • 1 min read

The team joined the AI in Education Exhibition hosted by the Hong Kong Productivity Council (HKPC) recently and highlighted the successful promotion of an integrated teaching platform. The event drew strong interest from educators across primary, secondary, and special schools, many of whom expressed enthusiasm about adopting the platform in their institutions.


During the exhibition, attendees engaged directly with key modules designed to enhance teaching and learning, including the AI-enabled Teaching and Learning Management System, Blended Learning Video-on-Demand, and the Reading Module. These components collectively support pre-class, in-class, and post-class activities, offering advanced features such as grammar checking, pronunciation analysis, automated grading, and interactive reading tools. Demonstrations of the Teaching and Learning Platform, Data Hub, and Resources Library further showcased how artificial intelligence and big data can be harnessed to improve educational outcomes.


Hands-on sessions allowed participants to explore the platform’s intuitive interface and robust analytics, enabling schools to generate comprehensive student profiles and identify learning challenges with precision. Seamless integration with widely used platforms such as Google Classroom and Microsoft Teams ensured accessibility and ease of implementation.


Building on the momentum of the exhibition, an iClass ONE seminar was subsequently held, offering teachers a deeper introduction to the platform. Educators consistently praised its practicality and relevance, with many requesting additional information and expressing intent to implement it in their schools.


The project team reaffirmed its commitment to providing free access under QEF funding and to supporting schools in overcoming e-learning challenges. Feedback collected during the exhibition and seminar will guide ongoing refinements, reinforcing the platform’s role as a collaborative, forward-looking solution that advances modern teaching and learning practices.


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e-Learning Development Laboratory
Department of Electrical and Electronic Engineering, The University of Hong Kong
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