Quality Education Fund

eLAFP

A New Learning Era of Learning, Evaluation and Teaching

Service Operator

Yan Chai Hospital Board of Directors
Project Number
2021/1107

Objectives

  • 100 HKDSE online practices with instant auto-marking (including long questions) and answer explanations
  • Instant grade projection and real-time skills analysis for individual and overall class performance
  • Systematic training of reading comprehension and exam skills to maximise DSE score

Project Overview

LATTE integrates HKDSE English reading paper analysis with AI and big data technology to provide diverse reading materials, text genres, question types, difficulty levels and past paper practice. Teachers can utilise automated grading and analytics tools to monitor student progress accurately, optimise the “learning, assessment, teaching” cycle and help students achieve better results in their examinations.

  • Uses 100% authorised HKEAA past papers for exam-aligned practice.
  • Trains 6 real exam skills, including error analysis with instant AI feedback.
  • Predicts HKDSE grades using HKEAA benchmarks to identify and target student strengths and weaknesses.
  • Adapts to all bands with levelled practices and personalised learning paths.
  • Integrates seamlessly into school timetables and curriculum.

Project Details

Grantee Sector
School Sponsoring Bodies
Target Users

Secondary Schools

Learning Category

Language Education

Key Features

  • Latest DSE Text Types and Question Types
  • Auto-Marking for Paper 1 (Reading)
  • Instant Grade Projection and Answer Explanations
  • AI Level-Up Indicator
  • Class and Individual Performance Analysis

Demonstration & School Case Study

Ms. Joyce Wong
English Teacher, Yan Chai Hospital No.2 Secondary School

The real-time report and timely feedback following submission provide a swift evaluation of students’ responses, assisting both teachers and students in identifying weaknesses. Consequently, more targeted support for specific question types can be offered to students. Additionally, the accuracy rate enables students to better understand their performance in comparison to their peers across the territory.
Overall, the platform does improve teaching and learning by offering instant feedback through big data. Teachers and students understand students’ performance at the territory-wide level. The platform also caters to learner diversity, allowing students to choose which combination of exercises fits their learning style and pace.

To be announced

Free Trial

Trial Period: 30 Days
Capacity for Trial Users: Up to 5 teachers and 40 students

Service Operator Contact Information

Reminder

You are about to enter the Quality Education Fund e-Learning Ancillary Facilities Programme (QEF eLAFP) application system. To subscribe on behalf of your school, your school needs to:

• have a Hong Kong Education City (EdCity) School Account,
and use the School Buyer Account to log in

If your school has not registered an EdCity School Account, please visit: 
https://www.edcity.hk/home/en/membership-school/