Full support from Hong Kong district councillors and collaboration with Rotary International

  1. Image and Text Recognition System
  2. Intelligent Recommendation System (Patents Pending)
  3. Intelligent Interactive Tutoring System
  4. Cantonese, Mandarin, and English Pronunciation System – Handling Homographs
  5. Dynamic Digital Human System
  6. Self-Adjusting Assessment System – Technology for Recommending Questions Based on Ability and Level
  7. English Writing Assessment Technology
  8. English Writing Upgrade and Analysis Technology
  9. English Writing Error Identification, Correction, and Explanation Technology
  10. English Reading Question Generation Technology
  11. English Reading Similar Question Generation Technology
  12. English Reading Similar Text and Question Generation Technology
Writing Training
Reading Training
On & Off- Campus Assessments
Adaptive Learning Assessments
Daily Recommended Assessments
Recommended
Training
Report
Ranking

The 3rd AI E-learning Tournament

The platform uses OCR (Optical Character Recognition) technology to recognize text in images, converting scanned text from physical documents into editable and processable digital text formats.

Typically, OCR confidence levels are over 90%. However, even with high confidence, 100% accuracy cannot be guaranteed, as results with lower confidence levels may still be correct in some cases.

  1. Use a High-Resolution Scanner:
    Scan at a resolution of at least 300 DPI (dots per inch). Higher resolution helps OCR software more accurately recognize characters.
  2. Ensure Document is Flat and Properly Aligned:
    Make sure the image is placed straight to avoid tilting.
  3. Binarization Processing:
    Convert color images to black and white to simplify the image processing.
  4. Noise Removal:
    Clean the document before scanning to remove stains, creases, or any marks that may interfere with recognition. Remove noise from the image appropriately without damaging the text.
  5. Choose High-Resolution Photography:
    Ensure image quality, avoiding distortion or blurriness.
  6. Manual Verification:
    Conduct manual checks on OCR results to ensure accuracy.

A comparison of AI grading on handwritten essays versus AI grading on edited essays (based on the HKEAA English Paper 2 from 2022 and 2023, with a total sample size of 12):

  1. The difference in HKEAA grades ranges between +0.3 and -0.3.
  2. The total number of errors varies between -17 and +17.

Conclusion: Based on the sample, there is no significant difference in HKEAA grades, whether AI grades handwritten essays or edited essays.

 

Participating schools include:

  • Sponsored Schools:Sheng Kung Hui, Catholic schools, Tung Wah Group of Hospitals, Po Leung Kuk, Chinese Christian Church, Chinese Evangelistic Church, Hong Kong Lasallian Brothers, Caritas, Salesians of Don Bosco, Ling Liang Church, Hong Kong Lutheran Church, Hong Kong Taoist Association, Baptist, Yan Chai Hospital, Sik Sik Yuen, Pentecostal, Lok Sin Tong, Lung Kong World Federation School Limited, Hong Kong Sze Yap Commercial & Industrial Association, Yuen Long Chamber of Commerce, St. Francis, St. Paul, Maryknoll, True Light, Pui Ching, Bishop Ho Ming Wah, St. Francis of Assisi, Lingnan, etc.
  • Government Schools:Kwun Tong, Tseung Kwan O, Tuen Mun, etc.
  • Direct Subsidy Schools:Evangel, Hong Kong Christian Service, Delia, etc.

The quality of the system is guided and monitored by a review committee composed of professors from the University of Hong Kong, AI system development experts, educational institution consultants, principals of primary and secondary schools, former examination department heads, and English panel heads.

The project quality has been rated as first-class by experts from the Dongguan Songshan Lake project and has been invited to collaborate with leading technology companies within the park.

Technical and service hotline available Monday to Friday from 9:00 AM to 6:00 PM. For non-office hours, contact via WhatsApp hotline.