Research
Studying real conditions, not theoretical assumptions
ARIES gathers direct insight from individuals, communities, and institutions, exploring patterns in behaviour, perception, systems, and societal gaps that conventional studies often overlook.
Focus areas
Where our research is currently directed
Perceptions of education
How students and teachers describe the purpose of learning in their own words, and where that departs from the outside assumptions usually made about it.
Innovation & critical thinking
Behavioural patterns and learning gaps that shape whether students build independent thought, or default to memorising for the exam.
Job-oriented mindset
Whether education is understood mainly as a route to employment, or as a broader tool for personal development, and how that shapes motivation.
These three lenses come directly from the pilot’s founding proposal; specific district- or institution-level fields will be confirmed once Phase 1 sites are selected.
Objectives
What this research is meant to achieve
Our process, in two phases
From a small pilot to a full-scale survey
The proposal sets out a deliberately staged rollout: prove the survey works on a small group before committing to a broad one. Dates are still being finalised, so the sequence below shows the stages, not a calendar.
Phase 1: Pilot
01
Survey design
Structuring questions to surface behavioural patterns, learning gaps, and student motivation, covering perceptions of education, innovation, and job-oriented mindset.
02
Test survey launch
Running the survey with a small group of students and teachers first, rather than committing to full scale immediately.
03
Flaw identification & editing
Reviewing what the pilot group's responses reveal about the survey itself, and correcting questions before they reach a wider audience.
Phase 2: Full scale
04
Final survey launch
Rolling out the corrected survey broadly, once the pilot has validated it.
05
Data collection
Gathering responses through the channels below, with quality control applied throughout rather than only at the end.
06
Data analysis
Combining qualitative and quantitative methods so findings reflect real conditions, not theoretical assumptions.
07
Report composing
Writing up findings so they translate directly into Amaze Consortium initiatives: the insight-to-action model.
What we collect
Two kinds of data, both qualitative and quantitative
Research data
Educational gaps, mindset analysis, and learning behaviour: the substance of the study itself.
Engagement data
Interest in Amaze Consortium and participation levels, tracking the organisational-growth side of the initiative alongside the research.
How we gather it