We believe in providing each student with a holistic, multidimensional and in-depth educational experience, spanning academic performance, character building, and future career preparation.
Our flagship AI for academic success program
Our flagship curriculum is designed to help 12-18 year-old students address their major pain points in English and STEM learning through a human-AI collaborative approach. Our goal is to equip and empower students to integrate AI strategies in their academic journey in efficient, creative and responsible ways, and to shape them into future-ready learners with the necessary AI-informed knowledge and skills to thrive in school and beyond.
Each lesson is structured around human-AI collaborative learning, focused on addressing common major academic pain points:
AI learning strategy
(e.g. using AI tools to create multiple theme-based vocabulary lists, collate all study texts for mind-map creation, visualise abstract concepts with image generation)
Student pain point
(e.g. how to use more specific vocabulary, how to compare texts effectively, how to manage time better when writing essays in exams)
Teacher and peer-in-the-loop
(e.g. students compare their AI results with their own ideas, critiquing AI’s output, co-writing with AI for greater creativity, class debate about AI’s benefits and limitations for specific tasks)
Course topics (selected):
Using Large Language Models (LLMs) to expand one’s emotive vocabulary for vivid descriptive writing
How to role play with AI to make studying historical context and authorial biography more fun and engaging
How to use AI for quick essay feedback and self-assessment on writing tasks
Visualise character relationships in novels and plays effectively with AI-enabled diagram making
Analyse and predict exam questions and topic trends with LLMs
How to 10x poetry understanding with the use of text-to-audio and text-to-image/video AI tools
Using AI to speed up memorisation for math and scientific formulae
Using AI to generate animations to visualise A-Level mechanics problems
Feeding LLMs past papers to identify conceptual weaknesses and design a study plan
Using AI to generate varied data to demonstrate and test use of statistics
AI for Academic Success (Introductory course)
An efficient overview of AI fundamentals and key applications of AI strategies for academic learning
4 lessons | 1.5 hours/lesson | Online/in-person | Max 4 students/lesson
Lesson 1: AI fundamentals
Understand importance of good prompting and task structure
See the range of currently available AI tools
Guide to know when to use AI responsibly and effectively
Lesson 2: AI strategies for English
Become familiar with good example prompts for different outcomes in improving grammar, vocabulary, pronunciation, comprehension, essay writing and communication
Explore multi-modal input and output in Large Language Models (LLM)
See how AI can generate structures for deep retention e.g. revision plans, note-taking
Lesson 3: AI strategies for STEM
Explore AI data analytics
Using AI as a tutor, not as a cheat-sheet
Construct spreadsheets for experimental data collection and processing with Agent mode and Gemini
Training a machine vision model
‘Vibe-coding’ introduction with Gemini and Google Colab
Lesson 4: AI strategies for academic profile-building
See how to collect resources to build a custom research assistant in NotebookLM
Learn how to build an AI workflow to support deep, concentrated reading
Using and integrating DeepResearch into a workflow
AI for Academic Success (Full course)
A human-AI co-learning curriculum equipping 12-18 year-old students with efficient, creative and responsible AI learning strategies
15 lessons | 1.5 hours/lesson | Online/in-person | Max 7 students/lesson
AI for English course
FOUNDATION LEVEL (suitable for ages 12-14)
1 - Grammar fundamentals (tenses, subject-verb-object agreement, verb forms, prepositions, punctuation)
2 - Vocabulary builder - general
3 - Vocabulary builder - emotive diction
4 - Reading comprehension (active, focused and speed reading skills)
5 - Reading poetry (basics)
6 - Structured writing
7 - Descriptive writing
8 - Creative writing
9 - Tone and style
10 - Identifying language devices (basics)
11 - Making meaning from language
12 - Finding evidence and embedding quotations
13 - Pacing and efficiency
14 - Oral presentation and public speaking
15 - Responsible AI use for English learning
AI for STEM course
FOUNDATION LEVEL (suitable for ages 12-14)
1 - Order of operations
2- Word problems to algebra
3 - Mastering algebra
4 - Statistics with interesting data
5 - Predicting with stats
6 - Reading + making charts and graphs
7 - Recalling formulae and facts
8 - Elementary geometry
9 - Keeping and using an error diary
10 - Research skills for STEM essays
11 - Writing skills for STEM essays
12 -Design and record experiments
13 - Organising material and monitoring progress
14 - Recalling essential terms in exams
15 - Responsible AI use for STEM learning
ADVANCED LEVEL (suitable for ages 15-18)
1 - Grammar advanced (tense shifts, passive vs active voice, modifiers, parallelism, subordinate clauses, punctuation)
2 -Vocabulary level-up (academic register, synonyms, antonyms)
3 - Critical reading skills (non-fiction)
4 - Critical reading skills (fiction and poetry)
5 - Characterisation analysis
6 - Essay structure and organisation
7 - Descriptive writing - advanced
8 - Tone and style shift
9 - Literary devices and meaning-making
10 - Comparing texts
11 - Integrating context in analysis
12 - Integrating criticism in analysis
13 - Pacing, efficiency and time management
14 - Debate and oral presentation skills
15 - Responsible AI use for research and extended essays
ADVANCED LEVEL (suitable for ages 15-18)
1 - Master algebra with targeted practise
2- Translate word problems to algebra and vice versa
3 - Collect STEM research within an AI assistant
4 - Advanced geometry: trig. and identities
5 - Learning statistics from customised, interesting data
6 - Counting techniques for statistics
7 - Graphs and transformations
8 - Proofs, their structures and spotting mistakes
9 - Structuring revision notes and summaries
10 -Detailed STEM error diary and targeted practise
11 - Using AI Personae to grasp the development of calculus
12 - AI to improve experimental set-up
13 - Calculating and propagating uncertainties
14 - Recalling key STEM terms for exam revision
15 - Responsible AI use in STEM learning and creation
Interested in finding out more or signing up for our course?
Reach out to us today via info@yingduttoneducation / WhatsApp +852 9281 9330!
(Schedules can be tailored on a case-by-case basis - reach out to us for a bespoke solution)
Our full service program
We offer a full-suite, multi-year educational package, which includes all four core service pillars and ensures that we develop a robust relationship with your child by being their ongoing, year-long support partner for all their educational needs
