Awardsiwant2studyOriginal awardMOE EdTech Masterplan

2024 | Silver Innergy Award

Localised inquiry-based math resources for high-ability learners

This award highlights a powerful design principle: high-ability learners need tasks that invite conjecture, testing, explanation, and refinement. Localised digital resources make that kind of mathematical thinking more accessible to Singapore classrooms.

MathematicsInquiryHigh-Ability Learners21CC
Localised inquiry-based math resources for high-ability learners
Image source: original OSPSG award article.

Why This Award Matters

This award highlights a powerful design principle: high-ability learners need tasks that invite conjecture, testing, explanation, and refinement. Localised digital resources make that kind of mathematical thinking more accessible to Singapore classrooms. The deeper achievement is not just the prize. It is the design habit behind the work: start from a real classroom problem, build something teachers and students can use, and keep improving it until the technology helps thinking become visible.

Strengths Worth Noticing

  • Makes advanced thinking visible through tasks that reward explanation and strategy, not only speed.
  • Localises the learning context so teachers can connect enrichment work to syllabus language and classroom routines.
  • Uses digital manipulatives to give learners space to test ideas before formalising them.

Alignment to EdTech Masterplan 2030

The EdTech Masterplan 2030 calls for technology-transformed learning, stronger use of AI and digital tools, and a student-centred approach to teaching and learning. This award connects to that direction in three practical ways:

  1. Supports student agency by giving learners exploratory tasks where choices and explanations matter.
  2. Builds 21st century competencies such as critical and inventive thinking through mathematical modelling.
  3. Shows how SLS-style resources can support differentiated and customised learning.

Classroom Conversation Starter

Ask a teacher team: what part of this award can be made smaller and used next week? A simulation, a sensor task, a scaffolded SLS activity, an automation script, or an AI-supported manipulative becomes powerful when it is attached to a clear learning question.