Helping with learning pathways ...
Supporting ...
Within a learning community
Based on learner activity, growth and attributes.
As pathway to next learning
Based on learning partner created next steps templates.
Considering learner ...
The foundation:
Experiences.
Reflections.
Attributes.
Growth.
Overview
Learner Experience
Check-ins.
Who Am I?
Next Steps Templates
Learning or domain specific
templates for pathway decision making.
Learner suitability.
Suitability Analysis
Using the common skills set
and templates to validate skills gained to determine suitability.
Enable self-driven learner suitability analysis.
Data Sharing
The learner can share their data with learning-partners (organisations & communities) to help
with their next steps in learning.
Data Validation
Learning-partners can choose what data based on who verified the data.
A deeper connection between learning phases.
Moving from "ATAR" (a summarised number) to "Next Steps" (the evolution of "Early Entry").
Based on key learner growth phases;
"A" an Introduction to Llearning, "B" Consolidation of Learning & "C" Focused Learning.
By example ...
Phase "C" learning-partners (e.g. department within a university) can create learning-templates that
can be shared via the selfdriven App, and used by phase "B" (e.g. Middle/High School) learners
(supported by their learning-partners) to complete learning projects.
The resulting skills can then be allocated by the phase "B" & "C" learning-partners, and used to
help guide a learner's next steps i.e. if capacity is Knowledgeable / Natural then well aligned with
the skills domain.
Universal Skills Set
Search the universal skills set.
Collaborate
Talk to us about how we can get you started with selfdriven.