1. Sequencing, causality, classification, composition, symbols, patterns, estimation and prediction.
2. Discipline-specific knowledge
3. Advanced concepts such as variables and randomness in mathematics,
4. Narrative structure in literacy.
5. Problem-solving skills:
1) identification of a goal;
2) formulation of a plan;
3) Development of an initial attempt at meeting the goal;
4) Testing, evaluating, and sharing outcomes;
5) Debugging, editing, and revising the initial attempt based on feedback.
These skills involve the development of capacities that apply to most academic domains and are facilitated by the computational nature and designed based approach supported by ScratchJr.
And the other 2 have pretty much the same "Here's Whys" meta learning in hyper drive.
