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

  • Provision of over 70 sets of HKDSE mock practices with instant auto-marking (including long-answer questions) and detailed 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.

  • More than 70 sets of high-quality mock practices covering HKDSE Paper 1 Part A and B1/B2.
  • 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.Lam Ling Yee Lennie
Vice Principal, English KLA Leader, Yan Chai Hospital Wong Wha San Secondary School

“The platform provides me with so much useful and specific data about my students’ reading needs and strengths. I can now fine-tune my teaching approach and give very personalised support to help my students achieve better English results in the HKDSE. Instead of spending most of my time marking, I can now focus on using the auto-marking and instant results to teach and give useful and practical tips. This makes my teaching so much more efficient.”



Ms. Joyce Wong
English Panel Head, 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/