Session 1: Stack Operations: Last In, First Out · 45 minutes
Focus: push two inputs and pop in reverse
Checkpoint: 8,3 from 3,8.
Teaching the visible machine
Use LIFO data, call frames and save/restore conventions.
Total classroom time: 135 minutes · 3 × 45 minutes
use separate paper piles for data values and call return addresses; show SP=255−combined depth. Place HALT before function definitions. Prepare positive/zero/negative arguments and caller-saved values.
Focus: push two inputs and pop in reverse
Checkpoint: 8,3 from 3,8.
Focus: one square function called twice
Checkpoint: 3,4 yield 9,16 and exact return addresses differ.
Focus: function scratch work plus save/restore
Checkpoint: caller's saved value survives and data POP cannot consume a call frame.
draw separate call and data columns; step one CALL/RETURN before nesting.
call inside an active LOOP and inspect distinct frame ownership; deliberately POP an empty data stack while a caller exists, then explain the diagnostic.
reusable function and annotated before/after SP/register evidence, plus a clear preservation agreement rather than assuming all registers automatically survive.
OpenKernel EDU aligns with concepts in the following frameworks. These connections support teacher planning. Check your current local grade or course expectations and assessment requirements when selecting activities.
Coding and computational thinking in elementary mathematics; algorithms, programming, data representation and computer systems in secondary computer studies/digital technology contexts.
Units 1–3 address state/data/computers, 4–8 sequence/control/algorithm/debugging/representation, and 9–10 decomposition/systems/projects. Select actual grade/course expectations locally. This model does not establish coverage of all mathematical, digital citizenship, hardware-building or networking outcomes.
Applied Design, Skills and Technologies learning through designing, testing and refining solutions; secondary computer studies/programming concepts involving algorithms, data and computer systems.
Units 4–10 support iterative program design and explanation; units 1–3, 8 and 9 support data/state/system representation. Paper design, trace evidence and reflection make the process visible. Check current grade/course wording; not every ADST competency is covered.
Computing science in applicable science/programming contexts; senior-high Career and Technology Studies Computing Science (CSE) concepts in algorithms, structured programs, data and systems.
Units 1–8 develop state, control and abstraction; units 9–10 apply decomposition and testing. Check the current program of studies and course requirements when deciding which activities suit your class.
These concept references use the CSTA 2017 framework. Check the current adopted edition and the full standard’s grade-level scope before using an identifier in a formal school mapping.
Units 1–3, 8 and 9 also connect to the Computing Systems concept. Algorithm, state, debugging, abstraction and control describe the ideas taught in this resource; consult the local framework for its expectation names and scope.
Use these official landing pages to check the current adopted edition and local grade or course expectations.